diff --git a/env/ml_adapter_sarima/environment.yml b/env/ml_adapter_sarima/environment.yml new file mode 100644 index 0000000..4270c73 --- /dev/null +++ b/env/ml_adapter_sarima/environment.yml @@ -0,0 +1,5 @@ +name: ml_adapter_sarima +dependencies: + - python=3.11 + - jupyter + - jedi-language-server diff --git a/env/ml_adapter_sarima/requirements.txt b/env/ml_adapter_sarima/requirements.txt new file mode 100644 index 0000000..73b3ce0 --- /dev/null +++ b/env/ml_adapter_sarima/requirements.txt @@ -0,0 +1,8 @@ +waylay-ml-adapter-numpy +waylay-ml-adapter-sdk +# make sure all services are present +waylay-sdk +dill +pandas +matplotlib +statsmodels \ No newline at end of file diff --git a/ml_adapter/sarima_weather/.gitignore b/ml_adapter/sarima_weather/.gitignore new file mode 100644 index 0000000..52a439e --- /dev/null +++ b/ml_adapter/sarima_weather/.gitignore @@ -0,0 +1,3 @@ +weatherHistory.csv +weather_pred_plug +*.npy \ No newline at end of file diff --git a/ml_adapter/sarima_weather/WeatherModel.py b/ml_adapter/sarima_weather/WeatherModel.py new file mode 100644 index 0000000..c3762d9 --- /dev/null +++ b/ml_adapter/sarima_weather/WeatherModel.py @@ -0,0 +1,119 @@ +from pathlib import Path +import statsmodels.tsa.statespace.sarimax as sm +import numpy as np +import json +import math + +SEASONAL_ORDER = (1, 1, 1, 24) +ORDER = (1, 1, 1) +MAX_ITER = 250 +ALPHA = 0.05 +DEFAULT_PATH = Path("model.json") + + +class SarimaWeatherModel: + order: (int, int, int) + seasonal_order: (int, int, int, int) + params: np.ndarray | None = None + + def __init__(self, order=None, seasonal_order=None, params=None, predict_window=24): + self.order = order or ORDER + self.seasonal_order = seasonal_order or SEASONAL_ORDER + self.params = np.array(params) if params is not None else None + self.predict_window = predict_window + + def to_dict(self): + return dict( + order=self.order, + seasonal_order=self.seasonal_order, + params=self.params.tolist() if self.params is not None else None, + ) + + @classmethod + def load(cls, location: Path = DEFAULT_PATH): + """Load the model.""" + with open(location, encoding="utf-8") as f: + return cls(**json.load(f)) + + def save(self, location: Path = DEFAULT_PATH): + """Save the model.""" + with open(location, "w", encoding="utf-8") as f: + json.dump(self.to_dict(), f) + + def endo_exog(self, data: np.ndarray, exog=None): + """If no explicit exog is given, assume first feature is endog...""" + if exog is not None: + return (data, exog) + if len(data.shape) == 1: + return (data, None) + if data.shape[0] == 1: + return (data.flatten(), None) + return (data[:, 0], data[:, 1:]) + + def train(self, data: np.ndarray, exog=None, **kwargs): + if self.params is not None: + raise TypeError("already fitted") + model = self._fitted_model(data, exog, **kwargs) + self.params = model.params + return model + + def predict( + self, + data, + exog=None, + start: int | None = None, + end: int | None = None, + dynamic=None, + alpha=None, + ): + if self.params is None: + raise TypeError("not fitted") + exog_fit, exog_pred = None, None + if exog is not None: + exog_fit = exog[: data.size] + if end is None: + end = exog.shape[0] + exog_pred = exog[data.size - 1 : end] + endog_fit, exog_fit = self.endo_exog(data, exog_fit) + fitted = self._fitted_model(endog_fit, exog_fit) + start = start or -self.predict_window + dynamic = dynamic or start != 0 + pred = fitted.get_prediction( + start=start, dynamic=dynamic, end=end, exog=exog_pred + ) + if alpha: + return pred.conf_int(alpha=alpha) + return pred.predicted_mean + + def _fitted_model(self, data, exog=None, **fit_kwargs): + endog, exog = self.endo_exog(data, exog) + model = sm.SARIMAX( + endog, exog=exog, order=self.order, seasonal_order=self.seasonal_order + ) + if self.params is not None: + return model.smooth(self.params) + return model.fit(maxiter=MAX_ITER, **fit_kwargs) + + def __call__( + self, + data, + exog=None, + start=None, + end=None, + dynamic=None, + alpha=None, + ): + return self.predict( + data, + exog, + start=as_value(start), + end=as_value(end), + dynamic=dynamic, + alpha=as_value(alpha), + ) + + +def as_value(val_or_numpy): + if isinstance(val_or_numpy, np.ndarray): + return val_or_numpy.tolist() + return val_or_numpy diff --git a/ml_adapter/sarima_weather/deploySarimaWeather.ipynb b/ml_adapter/sarima_weather/deploySarimaWeather.ipynb new file mode 100644 index 0000000..cf2a569 --- /dev/null +++ b/ml_adapter/sarima_weather/deploySarimaWeather.ipynb @@ -0,0 +1,942 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "a6e0855b-1eab-486d-8515-6d0534031840", + "metadata": {}, + "outputs": [], + "source": [ + "from WeatherModel import SarimaWeatherModel\n", + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "267bc6a0-ccea-401e-818b-c9ee7d50edcd", + "metadata": {}, + "outputs": [], + "source": [ + "PRED_WINDOW=12" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "feace1dc-ee40-4900-b186-c560927de28b", + "metadata": {}, + "outputs": [], + "source": [ + "model_exog = SarimaWeatherModel(predict_window=PRED_WINDOW)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "c2e0bc51-5546-42fa-ac0d-26276d1fab3b", + "metadata": {}, + "outputs": [], + "source": [ + "train_data = np.load('weather_14_train.npy')\n", + "test_data = np.load('current_weather_test.npy')" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "e18311e0-622c-4b45-a6ee-c524a583fb1e", + "metadata": {}, + "outputs": [], + "source": [ + "sm_exog = model_exog.train(train_data)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "f2428eb0-2966-4793-8586-ddf0bd7324ab", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'order': (1, 1, 1),\n", + " 'seasonal_order': (1, 1, 1, 24),\n", + " 'params': [0.45670275163378954,\n", + " -0.02984450193375315,\n", + " 0.11648393854398918,\n", + " -0.016150682971596723,\n", + " -0.062488504456956716,\n", + " -0.245071773367193,\n", + " -0.29835276201595157,\n", + " -0.23557155570378657,\n", + " 1.0082256372000871e-05]}" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model_exog.to_dict()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "3dd5ffda-e3c4-4e62-96ab-8affd2a2df8f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
SARIMAX Results
Dep. Variable: y No. Observations: 268
Model: SARIMAX(1, 1, 1)x(1, 1, 1, 24) Log Likelihood 1048.889
Date: Tue, 29 Apr 2025 AIC -2079.779
Time: 14:15:33 BIC -2048.341
Sample: 0 HQIC -2067.116
- 268
Covariance Type: opg
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coef std err z P>|z| [0.025 0.975]
x1 0.4567 0.043 10.727 0.000 0.373 0.540
x2 -0.0298 0.056 -0.534 0.593 -0.139 0.080
x3 0.1165 0.012 10.122 0.000 0.094 0.139
x4 -0.0162 0.116 -0.139 0.889 -0.244 0.211
ar.L1 -0.0625 0.243 -0.257 0.797 -0.539 0.414
ma.L1 -0.2451 0.249 -0.984 0.325 -0.733 0.243
ar.S.L24 -0.2984 0.143 -2.083 0.037 -0.579 -0.018
ma.S.L24 -0.2356 0.165 -1.432 0.152 -0.558 0.087
sigma2 1.008e-05 1.04e-06 9.732 0.000 8.05e-06 1.21e-05
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Ljung-Box (L1) (Q): 0.00 Jarque-Bera (JB): 0.97
Prob(Q): 0.97 Prob(JB): 0.61
Heteroskedasticity (H): 0.93 Skew: 0.03
Prob(H) (two-sided): 0.76 Kurtosis: 2.70


Warnings:
[1] Covariance matrix calculated using the outer product of gradients (complex-step)." + ], + "text/latex": [ + "\\begin{center}\n", + "\\begin{tabular}{lclc}\n", + "\\toprule\n", + "\\textbf{Dep. Variable:} & y & \\textbf{ No. Observations: } & 268 \\\\\n", + "\\textbf{Model:} & SARIMAX(1, 1, 1)x(1, 1, 1, 24) & \\textbf{ Log Likelihood } & 1048.889 \\\\\n", + "\\textbf{Date:} & Tue, 29 Apr 2025 & \\textbf{ AIC } & -2079.779 \\\\\n", + "\\textbf{Time:} & 14:15:33 & \\textbf{ BIC } & -2048.341 \\\\\n", + "\\textbf{Sample:} & 0 & \\textbf{ HQIC } & -2067.116 \\\\\n", + "\\textbf{} & - 268 & \\textbf{ } & \\\\\n", + "\\textbf{Covariance Type:} & opg & \\textbf{ } & \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lcccccc}\n", + " & \\textbf{coef} & \\textbf{std err} & \\textbf{z} & \\textbf{P$> |$z$|$} & \\textbf{[0.025} & \\textbf{0.975]} \\\\\n", + "\\midrule\n", + "\\textbf{x1} & 0.4567 & 0.043 & 10.727 & 0.000 & 0.373 & 0.540 \\\\\n", + "\\textbf{x2} & -0.0298 & 0.056 & -0.534 & 0.593 & -0.139 & 0.080 \\\\\n", + "\\textbf{x3} & 0.1165 & 0.012 & 10.122 & 0.000 & 0.094 & 0.139 \\\\\n", + "\\textbf{x4} & -0.0162 & 0.116 & -0.139 & 0.889 & -0.244 & 0.211 \\\\\n", + "\\textbf{ar.L1} & -0.0625 & 0.243 & -0.257 & 0.797 & -0.539 & 0.414 \\\\\n", + "\\textbf{ma.L1} & -0.2451 & 0.249 & -0.984 & 0.325 & -0.733 & 0.243 \\\\\n", + "\\textbf{ar.S.L24} & -0.2984 & 0.143 & -2.083 & 0.037 & -0.579 & -0.018 \\\\\n", + "\\textbf{ma.S.L24} & -0.2356 & 0.165 & -1.432 & 0.152 & -0.558 & 0.087 \\\\\n", + "\\textbf{sigma2} & 1.008e-05 & 1.04e-06 & 9.732 & 0.000 & 8.05e-06 & 1.21e-05 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lclc}\n", + "\\textbf{Ljung-Box (L1) (Q):} & 0.00 & \\textbf{ Jarque-Bera (JB): } & 0.97 \\\\\n", + "\\textbf{Prob(Q):} & 0.97 & \\textbf{ Prob(JB): } & 0.61 \\\\\n", + "\\textbf{Heteroskedasticity (H):} & 0.93 & \\textbf{ Skew: } & 0.03 \\\\\n", + "\\textbf{Prob(H) (two-sided):} & 0.76 & \\textbf{ Kurtosis: } & 2.70 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "%\\caption{SARIMAX Results}\n", + "\\end{center}\n", + "\n", + "Warnings: \\newline\n", + " [1] Covariance matrix calculated using the outer product of gradients (complex-step)." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " SARIMAX Results \n", + "==========================================================================================\n", + "Dep. Variable: y No. Observations: 268\n", + "Model: SARIMAX(1, 1, 1)x(1, 1, 1, 24) Log Likelihood 1048.889\n", + "Date: Tue, 29 Apr 2025 AIC -2079.779\n", + "Time: 14:15:33 BIC -2048.341\n", + "Sample: 0 HQIC -2067.116\n", + " - 268 \n", + "Covariance Type: opg \n", + "==============================================================================\n", + " coef std err z P>|z| [0.025 0.975]\n", + "------------------------------------------------------------------------------\n", + "x1 0.4567 0.043 10.727 0.000 0.373 0.540\n", + "x2 -0.0298 0.056 -0.534 0.593 -0.139 0.080\n", + "x3 0.1165 0.012 10.122 0.000 0.094 0.139\n", + "x4 -0.0162 0.116 -0.139 0.889 -0.244 0.211\n", + "ar.L1 -0.0625 0.243 -0.257 0.797 -0.539 0.414\n", + "ma.L1 -0.2451 0.249 -0.984 0.325 -0.733 0.243\n", + "ar.S.L24 -0.2984 0.143 -2.083 0.037 -0.579 -0.018\n", + "ma.S.L24 -0.2356 0.165 -1.432 0.152 -0.558 0.087\n", + "sigma2 1.008e-05 1.04e-06 9.732 0.000 8.05e-06 1.21e-05\n", + "===================================================================================\n", + "Ljung-Box (L1) (Q): 0.00 Jarque-Bera (JB): 0.97\n", + "Prob(Q): 0.97 Prob(JB): 0.61\n", + "Heteroskedasticity (H): 0.93 Skew: 0.03\n", + "Prob(H) (two-sided): 0.76 Kurtosis: 2.70\n", + "===================================================================================\n", + "\n", + "Warnings:\n", + "[1] Covariance matrix calculated using the outer product of gradients (complex-step).\n", + "\"\"\"" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sm_exog.summary()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "7a93eed4-9664-4998-a02e-e79921d0c193", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "_ = sm_exog.plot_diagnostics()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "44bd50de-6da6-4c63-bc00-71d17f9ab281", + "metadata": {}, + "outputs": [], + "source": [ + "ci_exog = model_exog.predict(test_data, alpha=0.5)\n", + "mean_exog = model_exog.predict(test_data[:,0])" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "f92f5e4b-84bf-4c6d-ad92-b469d0c060c9", + "metadata": {}, + "outputs": [], + "source": [ + "model_1dim = SarimaWeatherModel(predict_window=PRED_WINDOW)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "d8cc3e53-cff6-430d-9814-600e60f0f299", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/homebrew/Caskroom/miniconda/base/envs/ml_adapter_sarima/lib/python3.11/site-packages/statsmodels/base/model.py:607: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals\n", + " warnings.warn(\"Maximum Likelihood optimization failed to \"\n" + ] + } + ], + "source": [ + "sm_1_dim = model_1dim.train(train_data[:,0])" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "4ca7866d-7ef6-4699-a6ce-439d3ecf51c7", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "_ = sm_1_dim.plot_diagnostics()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "885740bc-05af-4d38-8bf4-d7716e0e0bb7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
SARIMAX Results
Dep. Variable: y No. Observations: 268
Model: SARIMAX(1, 1, 1)x(1, 1, 1, 24) Log Likelihood 1021.408
Date: Tue, 29 Apr 2025 AIC -2032.816
Time: 14:15:38 BIC -2015.351
Sample: 0 HQIC -2025.782
- 268
Covariance Type: opg
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coef std err z P>|z| [0.025 0.975]
ar.L1 -0.1349 1.451 -0.093 0.926 -2.979 2.709
ma.L1 0.0848 1.484 0.057 0.954 -2.823 2.993
ar.S.L24 -0.3972 0.231 -1.722 0.085 -0.849 0.055
ma.S.L24 0.1219 0.263 0.463 0.644 -0.394 0.638
sigma2 1.294e-05 1.42e-06 9.113 0.000 1.02e-05 1.57e-05
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Ljung-Box (L1) (Q): 0.31 Jarque-Bera (JB): 3.06
Prob(Q): 0.57 Prob(JB): 0.22
Heteroskedasticity (H): 0.73 Skew: -0.09
Prob(H) (two-sided): 0.15 Kurtosis: 2.48


Warnings:
[1] Covariance matrix calculated using the outer product of gradients (complex-step)." + ], + "text/latex": [ + "\\begin{center}\n", + "\\begin{tabular}{lclc}\n", + "\\toprule\n", + "\\textbf{Dep. Variable:} & y & \\textbf{ No. Observations: } & 268 \\\\\n", + "\\textbf{Model:} & SARIMAX(1, 1, 1)x(1, 1, 1, 24) & \\textbf{ Log Likelihood } & 1021.408 \\\\\n", + "\\textbf{Date:} & Tue, 29 Apr 2025 & \\textbf{ AIC } & -2032.816 \\\\\n", + "\\textbf{Time:} & 14:15:38 & \\textbf{ BIC } & -2015.351 \\\\\n", + "\\textbf{Sample:} & 0 & \\textbf{ HQIC } & -2025.782 \\\\\n", + "\\textbf{} & - 268 & \\textbf{ } & \\\\\n", + "\\textbf{Covariance Type:} & opg & \\textbf{ } & \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lcccccc}\n", + " & \\textbf{coef} & \\textbf{std err} & \\textbf{z} & \\textbf{P$> |$z$|$} & \\textbf{[0.025} & \\textbf{0.975]} \\\\\n", + "\\midrule\n", + "\\textbf{ar.L1} & -0.1349 & 1.451 & -0.093 & 0.926 & -2.979 & 2.709 \\\\\n", + "\\textbf{ma.L1} & 0.0848 & 1.484 & 0.057 & 0.954 & -2.823 & 2.993 \\\\\n", + "\\textbf{ar.S.L24} & -0.3972 & 0.231 & -1.722 & 0.085 & -0.849 & 0.055 \\\\\n", + "\\textbf{ma.S.L24} & 0.1219 & 0.263 & 0.463 & 0.644 & -0.394 & 0.638 \\\\\n", + "\\textbf{sigma2} & 1.294e-05 & 1.42e-06 & 9.113 & 0.000 & 1.02e-05 & 1.57e-05 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lclc}\n", + "\\textbf{Ljung-Box (L1) (Q):} & 0.31 & \\textbf{ Jarque-Bera (JB): } & 3.06 \\\\\n", + "\\textbf{Prob(Q):} & 0.57 & \\textbf{ Prob(JB): } & 0.22 \\\\\n", + "\\textbf{Heteroskedasticity (H):} & 0.73 & \\textbf{ Skew: } & -0.09 \\\\\n", + "\\textbf{Prob(H) (two-sided):} & 0.15 & \\textbf{ Kurtosis: } & 2.48 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "%\\caption{SARIMAX Results}\n", + "\\end{center}\n", + "\n", + "Warnings: \\newline\n", + " [1] Covariance matrix calculated using the outer product of gradients (complex-step)." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " SARIMAX Results \n", + "==========================================================================================\n", + "Dep. Variable: y No. Observations: 268\n", + "Model: SARIMAX(1, 1, 1)x(1, 1, 1, 24) Log Likelihood 1021.408\n", + "Date: Tue, 29 Apr 2025 AIC -2032.816\n", + "Time: 14:15:38 BIC -2015.351\n", + "Sample: 0 HQIC -2025.782\n", + " - 268 \n", + "Covariance Type: opg \n", + "==============================================================================\n", + " coef std err z P>|z| [0.025 0.975]\n", + "------------------------------------------------------------------------------\n", + "ar.L1 -0.1349 1.451 -0.093 0.926 -2.979 2.709\n", + "ma.L1 0.0848 1.484 0.057 0.954 -2.823 2.993\n", + "ar.S.L24 -0.3972 0.231 -1.722 0.085 -0.849 0.055\n", + "ma.S.L24 0.1219 0.263 0.463 0.644 -0.394 0.638\n", + "sigma2 1.294e-05 1.42e-06 9.113 0.000 1.02e-05 1.57e-05\n", + "===================================================================================\n", + "Ljung-Box (L1) (Q): 0.31 Jarque-Bera (JB): 3.06\n", + "Prob(Q): 0.57 Prob(JB): 0.22\n", + "Heteroskedasticity (H): 0.73 Skew: -0.09\n", + "Prob(H) (two-sided): 0.15 Kurtosis: 2.48\n", + "===================================================================================\n", + "\n", + "Warnings:\n", + "[1] Covariance matrix calculated using the outer product of gradients (complex-step).\n", + "\"\"\"" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sm_1_dim.summary()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "a75f30d2-656d-4f63-b13e-8b248b7c6657", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ 9.0540705 , 8.57618569, 8.27189826, 8.4005632 , 9.03444879,\n", + " 10.9113842 , 13.35299031, 14.50440717, 16.01045231, 16.30840356,\n", + " 17.75730239, 17.11946091])" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ci_1dim = model_1dim.predict(test_data[:,0], alpha=0.05)\n", + "mean_1dim = model_1dim.predict(test_data[:,0])\n", + "mean_1dim" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "58bd926c-df4c-4a67-b3df-08fd3d7add5c", + "metadata": {}, + "outputs": [], + "source": [ + "mean_fc = model_1dim.predict(test_data[:,0], start=test_data.shape[0], end=test_data.shape[0]+PRED_WINDOW)\n", + "ci_fc = model_1dim.predict(test_data[:,0], start=test_data.shape[0], end=test_data.shape[0]+PRED_WINDOW, alpha=0.05)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "0a11f8e0-ecc4-4cb2-b0d4-99a648e34833", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1,1, figsize=(15,5))\n", + "pred_len=ci_1dim.shape[0]\n", + "pred_idx=pd.date_range(end='now',periods=pred_len,freq='1h')\n", + "tst_len=test_data.shape[0]\n", + "frc_len=mean_fc.size\n", + "tst_idx=pd.date_range(end='now',periods=tst_len,freq='1h')\n", + "frc_idx=pd.date_range(start='now', periods=frc_len, freq='1h')\n", + "ax.plot(tst_idx,test_data[:, 0], label='actual')\n", + "ax.plot(pred_idx,mean_exog,label='pred_mean_exog', color='green')\n", + "ax.plot(pred_idx,mean_1dim,label='pred_mean_1dim', color='orange')\n", + "ax.plot(frc_idx,mean_fc,label='forecast_mean_1dim', color='red')\n", + "ax.fill_between(\n", + " pred_idx,\n", + " ci_exog[:, 0],\n", + " ci_exog[:, 1], color='green', alpha=.2,\n", + " label='pred_ci_exog'\n", + ")\n", + "ax.fill_between(\n", + " pred_idx,\n", + " ci_1dim[:, 0],\n", + " ci_1dim[:, 1], color='orange', alpha=.2,\n", + " label='pred_ci_1dim'\n", + ")\n", + "ax.fill_between(\n", + " frc_idx,\n", + " ci_fc[:, 0],\n", + " ci_fc[:, 1], color='red', alpha=.2,\n", + " label='forecast_ci_1dim'\n", + ")\n", + "ax.legend()\n", + "None" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5cccd776-06ab-45ae-9cab-daa37f55faf8", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "df18d89d-ecde-442f-b1de-30698a10fc0e", + "metadata": {}, + "outputs": [], + "source": [ + "from ml_adapter.numpy import V1NumpyModelAdapter, V1NumpyNoLoadAdapter" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "0d5b5b3f-a24f-4a52-ae7e-a353f21ca98f", + "metadata": {}, + "outputs": [], + "source": [ + "LOC='weather_pred_plug'" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "4d44dc96-a0ab-44fd-bb6d-76064e2ba04c", + "metadata": {}, + "outputs": [], + "source": [ + "!rm -fr weather_pred_plug" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "e1932e2b-4346-463b-816a-e7d3cd9b61cc", + "metadata": {}, + "outputs": [], + "source": [ + "adapter = V1NumpyModelAdapter(model=model_1dim,model_path='model.sav',location=LOC)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "a3e2be0a-4b29-49d5-9b3c-ec93d6e2a1da", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "WeatherModel.py " + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "await adapter.add_script('WeatherModel.py')" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "aea4c572-809e-4fcc-938a-fd81d355771f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['statsmodels']" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "adapter.requirements.add('statsmodels')" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "9b907e59-9963-451a-81df-22b922559878", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "adapter.as_plug({ 'name': 'SarimaWeatherPrediction' })" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c4c2c659-7666-4fc9-b9c6-34b06b92a3b5", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "b0f048da-b551-4ab9-b31e-9642dce5ede4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "await adapter.save()" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "808a2445-ae0d-4a8f-a59e-22f82c1c123f", + "metadata": {}, + "outputs": [], + "source": [ + "from waylay.sdk import WaylayClient\n", + "client = WaylayClient.from_profile('aws-dev')\n", + "import logging\n", + "logging.basicConfig(level='INFO')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "a7d68fff-ce21-4179-837d-bfbbcce561c7", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:httpx:HTTP Request: POST https://api-aws-dev.waylay.io/accounts/v1/tokens?grant_type=client_credentials \"HTTP/1.1 200 OK\"\n", + "INFO:httpx:HTTP Request: POST https://api-aws-dev.waylay.io/registry/v2/plugs/?draft=true&comment=&async=true \"HTTP/1.1 202 Accepted\"\n" + ] + } + ], + "source": [ + "ref = await client.ml_tool.create_plug(adapter, version='0.0.5', draft=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "aeb7c2a5-20a0-434f-83e1-da8b4ea2f76b", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:ml_adapter.sdk.tool:Waiting for SarimaWeatherPrediction@0.0.5 to be ready:\n", + "INFO:ml_adapter.sdk.tool:listening on https://api-aws-dev.waylay.io/registry/v2/jobs/events?type=verify&id=740799ef-d515-4704-8718-903851c9899e$hcFhBWLzLsfR-7isZxeH5&children=true\n", + "INFO:httpx:HTTP Request: GET https://api-aws-dev.waylay.io/registry/v2/jobs/events?type=verify&id=740799ef-d515-4704-8718-903851c9899e$hcFhBWLzLsfR-7isZxeH5&children=true \"HTTP/1.1 200 OK\"\n", + "INFO:ml_adapter.sdk.tool:SarimaWeatherPrediction@0.0.5 build: active\n", + "INFO:ml_adapter.sdk.tool:SarimaWeatherPrediction@0.0.5 deploy: waiting\n", + "INFO:ml_adapter.sdk.tool:SarimaWeatherPrediction@0.0.5 deploy: active\n", + "INFO:ml_adapter.sdk.tool:SarimaWeatherPrediction@0.0.5 deploy: completed\n", + "{'data': {'returnvalue': {'deploySpec': {'service': 'fn-8d4e469452472c575c2ecfccb94a8f4b0ca854b0', 'image': 'registry.dev.waylay.io/openfaas-plugs/740799ef-d515-4704-8718-903851c9899e/275fcb9ea26baca50fb8ee68b37119cab8f4e800:0.0.5-2e90a912', 'namespace': 'openfaas-fn-740799ef-d515-4704-8718-903851c9899e', 'labels': {'networking/allow-internet-egress': 'true', 'com.openfaas.scale.zero': 'true', 'com.openfaas.scale.zero-duration': '12h', 'com.openfaas.scale.min': '1', 'com.openfaas.scale.max': '10', 'com.openfaas.scale.target': '20', 'com.openfaas.scale.target-proportion': '0.90', 'com.openfaas.scale.type': 'rps', 'io.waylay.runtime.name': 'plug-python3', 'io.waylay.runtime.version': '0.2.0', 'io.waylay.tenant': '740799ef-d515-4704-8718-903851c9899e', 'io.waylay.function.type': 'plugs', 'io.waylay.plugs.type': 'sensor'}, 'annotations': {'io.waylay.registry.version': '2.21.2', 'io.waylay.function.name': 'SarimaWeatherPrediction', 'io.waylay.function.version': '0.0.5', 'io.waylay.function.revision': '941996229dfd8c55eec4424f06b1b6c7f49c2f8912ec60b0d622a6d1c3bd92ee', 'io.waylay.function.image': 'registry.dev.waylay.io/openfaas-plugs/740799ef-d515-4704-8718-903851c9899e/275fcb9ea26baca50fb8ee68b37119cab8f4e800:0.0.5-2e90a912', 'io.waylay.function.baseImage': 'eu.gcr.io/quiet-mechanic-140114/openfaas-base/plug-python3.11:latest', 'io.waylay.runtime.archiveFormat': 'python', 'com.openfaas.health.http.initialDelaySeconds': '0', 'com.openfaas.health.http.periodSeconds': '1', 'com.openfaas.health.http.successThreshold': '1', 'com.openfaas.health.http.failureThreshold': '10', 'com.openfaas.health.http.timeoutSeconds': '1', 'com.openfaas.profile': 'fn-nodepool-profile', 'com.openfaas.ready.http.path': '/_/ready', 'com.openfaas.ready.http.initialDelaySeconds': '0', 'com.openfaas.ready.http.periodSeconds': '1', 'com.openfaas.ready.http.successThreshold': '1', 'com.openfaas.ready.http.failureThreshold': '5', 'com.openfaas.ready.http.timeoutSeconds': '1', 'io.waylay.registry.health.http.path': '/_/ready'}, 'limits': {'memory': '256Mi', 'cpu': '600m'}, 'requests': {'memory': '128Mi', 'cpu': '25m'}}}}, 'job': {'id': '740799ef-d515-4704-8718-903851c9899e$Pwhr-iAPAsZXU1reRaXq4', 'type': 'deploy'}, 'timestamp': '2025-04-29T12:15:45.406Z', 'function': {'name': 'SarimaWeatherPrediction', 'version': '0.0.5', 'functionType': 'plugs', 'runtime': 'plug-python3', 'runtimeVersion': '0.2.0'}, '_links': {'job': {'href': 'https://api-aws-dev.waylay.io/registry/v2/jobs/deploy/740799ef-d515-4704-8718-903851c9899e$Pwhr-iAPAsZXU1reRaXq4', 'jobType': 'deploy'}, 'plug': {'href': 'https://api-aws-dev.waylay.io/registry/v2/plugs/SarimaWeatherPrediction/versions/0.0.5'}}}\n", + "INFO:ml_adapter.sdk.tool:SarimaWeatherPrediction@0.0.5 verify: waiting\n", + "INFO:ml_adapter.sdk.tool:SarimaWeatherPrediction@0.0.5 verify: active\n", + "INFO:ml_adapter.sdk.tool:keep-alive: {}\n", + "INFO:ml_adapter.sdk.tool:close: Job with id 740799ef-d515-4704-8718-903851c9899e$hcFhBWLzLsfR-7isZxeH5 has completed\n", + "INFO:httpx:HTTP Request: GET https://api-aws-dev.waylay.io/registry/v2/plugs/SarimaWeatherPrediction/versions/0.0.5 \"HTTP/1.1 200 OK\"\n", + "INFO:ml_adapter.sdk.tool:function SarimaWeatherPrediction@0.0.5 has status running\n" + ] + }, + { + "data": { + "text/plain": [ + "{'entity': {'createdBy': 'users/08e92c94-0a45-4f69-8405-3c2e46dd0cf9',\n", + " 'createdAt': '2025-04-29T12:15:42.824Z',\n", + " 'updatedBy': 'users/08e92c94-0a45-4f69-8405-3c2e46dd0cf9',\n", + " 'updatedAt': '2025-04-29T12:15:42.837Z',\n", + " 'status': 'running',\n", + " 'runtime': {'deprecated': False,\n", + " 'upgradable': False,\n", + " 'name': 'plug-python3',\n", + " 'version': '0.2.0'},\n", + " 'deprecated': False,\n", + " 'draft': True,\n", + " 'plug': {'name': 'SarimaWeatherPrediction',\n", + " 'version': '0.0.5',\n", + " 'runtime': 'plug-python3',\n", + " 'metadata': {'tags': [{'name': 'MLAdapter', 'color': '#4153ea'}],\n", + " 'documentation': {'description': '',\n", + " 'states': [{'name': 'PREDICTED',\n", + " 'description': 'The model inference succeeded.'},\n", + " {'name': 'FAILED', 'description': 'The model inference failed.'}],\n", + " 'input': [{'name': 'instances',\n", + " 'description': 'A tensor of numeric input data (KServe V1 protocol)'}],\n", + " 'output': [{'name': 'predictions',\n", + " 'description': 'A tensor of numeric output data (KServe V1 protocol)'},\n", + " {'name': 'error',\n", + " 'description': 'Failure reasion when FAILED. the predictions will be empty.'}]}},\n", + " 'type': 'sensor',\n", + " 'interface': {'states': ['PREDICTED', 'FAILED'],\n", + " 'input': [{'name': 'instances', 'dataType': 'object', 'mandatory': True}],\n", + " 'output': [{'name': 'predictions',\n", + " 'dataType': 'object',\n", + " 'mandatory': True},\n", + " {'name': 'error', 'dataType': 'string', 'mandatory': False}]},\n", + " 'tags': [{'name': 'MLAdapter', 'color': '#4153ea'}]},\n", + " 'invocation': {'auth': 'waylay',\n", + " 'taskContext': True,\n", + " 'nodeContext': True,\n", + " 'rawDataContext': True,\n", + " 'callback': False},\n", + " 'updates': [{'operation': 'create',\n", + " 'at': '2025-04-29T12:15:42.837Z',\n", + " 'by': 'users/08e92c94-0a45-4f69-8405-3c2e46dd0cf9',\n", + " 'comment': '',\n", + " 'jobs': ['740799ef-d515-4704-8718-903851c9899e$hcFhBWLzLsfR-7isZxeH5',\n", + " '740799ef-d515-4704-8718-903851c9899e$Pwhr-iAPAsZXU1reRaXq4',\n", + " '740799ef-d515-4704-8718-903851c9899e$BarU9NApXRwxZa-QXOHNO']}],\n", + " 'revision': '941996229dfd8c55eec4424f06b1b6c7f49c2f8912ec60b0d622a6d1c3bd92ee'},\n", + " '_links': {}}" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ref = await client.ml_tool.wait_until_ready(ref)\n", + "ref" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "5c7d21e3-c169-4306-b7b8-922ea5fff7bc", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:httpx:HTTP Request: POST https://api-aws-dev.waylay.io/rules/v1/sensors/SarimaWeatherPrediction/versions/0.0.4 \"HTTP/1.1 200 OK\"\n" + ] + }, + { + "data": { + "text/plain": [ + "[14.271490321589685,\n", + " 14.315102460632987,\n", + " 14.417318436362768,\n", + " 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"3.11.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/ml_adapter/sarima_weather/sarima_weather.ipynb b/ml_adapter/sarima_weather/sarima_weather.ipynb new file mode 100644 index 0000000..6750224 --- /dev/null +++ b/ml_adapter/sarima_weather/sarima_weather.ipynb @@ -0,0 +1,597 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 243, + "id": "18659565-5c2a-4b26-be54-65c0dc7458a6", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np" + ] + }, + { + "cell_type": "markdown", + "id": "31d9b6cf-fd56-474a-9b90-715d757fbf99", + "metadata": {}, + "source": [ + "## Preamble\n", + "\n", + "Demo for the use of the statsmodels SARIMA model into a Waylay ML Adapter, using a weather data example.\n", + "\n", + "* use `bin/jupyter_notebook env/ml_adapter_sarima ml_adapter/sarima_weather` to create a suitable conda environment and start the notebook.\n", + "* reuses timeseries retrieve as defined by the queries `sarimaWeatherHistoryHourly` and `sarimaWeatherHistoryDaily`" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "ea4caee8-16e9-41e6-9fda-03ec9214cec8", + "metadata": {}, + "outputs": [], + "source": [ + "HOURLY_RESOURCE_ID = 'test_sarima_hourly'\n", + "DAILY_RESOURCE_ID = 'test_sarima_daily'\n", + "WAYLAY_PROFILE = 'aws-dev'" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "036df028-2b2e-463b-8afe-357ca9011b87", + "metadata": {}, + "outputs": [], + "source": [ + "from waylay.sdk import WaylayClient\n", + "client = WaylayClient.from_profile(WAYLAY_PROFILE)" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "04de9182-efce-47b8-9a94-1be2465cf513", + "metadata": {}, + "outputs": [], + "source": [ + "async def hourly_weather_data(query):\n", + " data_resp = await client.queries.execute.execute_by_name(\n", + " 'sarimaWeatherHistoryHourly', query=query, select_path='data', response_type=list, timeout=10.0\n", + " )\n", + " [ dataset ] = data_resp\n", + " df = pd.DataFrame(dataset['data'], columns=['timestamp', *(c['metric'] for c in dataset['columns'][1:])])\n", + " df = df.set_index('timestamp')\n", + " df.index=pd.to_datetime(df.index,unit='ms',utc=True)\n", + " return df\n" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "id": "8dcad59f-efd0-4f74-b854-9caf554cc681", + "metadata": {}, + "outputs": [], + "source": [ + "weather_14 = await hourly_weather_data({ 'from':'-P14D' })\n", + "train_size = int(len(weather_14.index) * 0.8)\n", + "weather_14_train, weather_14_test = weather_14.iloc[:train_size], weather_14.iloc[train_size:]" + ] + }, + { + "cell_type": "code", + "execution_count": 269, + "id": "aa06d4a4-3b5f-4236-afcc-fb7553dd688f", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/homebrew/Caskroom/miniconda/base/envs/ml_adapter_sarima/lib/python3.11/site-packages/statsmodels/tsa/base/tsa_model.py:473: ValueWarning: A date index has been provided, but it has no associated frequency information and so will be ignored when e.g. forecasting.\n", + " self._init_dates(dates, freq)\n", + "/opt/homebrew/Caskroom/miniconda/base/envs/ml_adapter_sarima/lib/python3.11/site-packages/statsmodels/tsa/base/tsa_model.py:473: ValueWarning: A date index has been provided, but it has no associated frequency information and so will be ignored when e.g. forecasting.\n", + " self._init_dates(dates, freq)\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
SARIMAX Results
Dep. Variable: temperature No. Observations: 268
Model: SARIMAX(1, 1, 1)x(1, 1, 1, 24) Log Likelihood 1048.500
Date: Tue, 29 Apr 2025 AIC -2079.000
Time: 13:10:32 BIC -2047.563
Sample: 0 HQIC -2066.338
- 268
Covariance Type: opg
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coef std err z P>|z| [0.025 0.975]
temp_feel 0.4718 0.042 11.252 0.000 0.390 0.554
pressure -0.0295 0.056 -0.526 0.599 -0.139 0.080
wind_speed 0.1203 0.011 10.664 0.000 0.098 0.142
humidity -0.0166 0.115 -0.144 0.886 -0.243 0.210
ar.L1 0.0021 0.258 0.008 0.993 -0.503 0.508
ma.L1 -0.2901 0.262 -1.108 0.268 -0.803 0.223
ar.S.L24 -0.2536 0.140 -1.808 0.071 -0.528 0.021
ma.S.L24 -0.3100 0.157 -1.972 0.049 -0.618 -0.002
sigma2 1.013e-05 1.05e-06 9.681 0.000 8.08e-06 1.22e-05
\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
Ljung-Box (L1) (Q): 0.06 Jarque-Bera (JB): 0.86
Prob(Q): 0.81 Prob(JB): 0.65
Heteroskedasticity (H): 0.97 Skew: 0.03
Prob(H) (two-sided): 0.91 Kurtosis: 2.72


Warnings:
[1] Covariance matrix calculated using the outer product of gradients (complex-step)." + ], + "text/latex": [ + "\\begin{center}\n", + "\\begin{tabular}{lclc}\n", + "\\toprule\n", + "\\textbf{Dep. Variable:} & temperature & \\textbf{ No. Observations: } & 268 \\\\\n", + "\\textbf{Model:} & SARIMAX(1, 1, 1)x(1, 1, 1, 24) & \\textbf{ Log Likelihood } & 1048.500 \\\\\n", + "\\textbf{Date:} & Tue, 29 Apr 2025 & \\textbf{ AIC } & -2079.000 \\\\\n", + "\\textbf{Time:} & 13:10:32 & \\textbf{ BIC } & -2047.563 \\\\\n", + "\\textbf{Sample:} & 0 & \\textbf{ HQIC } & -2066.338 \\\\\n", + "\\textbf{} & - 268 & \\textbf{ } & \\\\\n", + "\\textbf{Covariance Type:} & opg & \\textbf{ } & \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lcccccc}\n", + " & \\textbf{coef} & \\textbf{std err} & \\textbf{z} & \\textbf{P$> |$z$|$} & \\textbf{[0.025} & \\textbf{0.975]} \\\\\n", + "\\midrule\n", + "\\textbf{temp\\_feel} & 0.4718 & 0.042 & 11.252 & 0.000 & 0.390 & 0.554 \\\\\n", + "\\textbf{pressure} & -0.0295 & 0.056 & -0.526 & 0.599 & -0.139 & 0.080 \\\\\n", + "\\textbf{wind\\_speed} & 0.1203 & 0.011 & 10.664 & 0.000 & 0.098 & 0.142 \\\\\n", + "\\textbf{humidity} & -0.0166 & 0.115 & -0.144 & 0.886 & -0.243 & 0.210 \\\\\n", + "\\textbf{ar.L1} & 0.0021 & 0.258 & 0.008 & 0.993 & -0.503 & 0.508 \\\\\n", + "\\textbf{ma.L1} & -0.2901 & 0.262 & -1.108 & 0.268 & -0.803 & 0.223 \\\\\n", + "\\textbf{ar.S.L24} & -0.2536 & 0.140 & -1.808 & 0.071 & -0.528 & 0.021 \\\\\n", + "\\textbf{ma.S.L24} & -0.3100 & 0.157 & -1.972 & 0.049 & -0.618 & -0.002 \\\\\n", + "\\textbf{sigma2} & 1.013e-05 & 1.05e-06 & 9.681 & 0.000 & 8.08e-06 & 1.22e-05 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lclc}\n", + "\\textbf{Ljung-Box (L1) (Q):} & 0.06 & \\textbf{ Jarque-Bera (JB): } & 0.86 \\\\\n", + "\\textbf{Prob(Q):} & 0.81 & \\textbf{ Prob(JB): } & 0.65 \\\\\n", + "\\textbf{Heteroskedasticity (H):} & 0.97 & \\textbf{ Skew: } & 0.03 \\\\\n", + "\\textbf{Prob(H) (two-sided):} & 0.91 & \\textbf{ Kurtosis: } & 2.72 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "%\\caption{SARIMAX Results}\n", + "\\end{center}\n", + "\n", + "Warnings: \\newline\n", + " [1] Covariance matrix calculated using the outer product of gradients (complex-step)." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " SARIMAX Results \n", + "==========================================================================================\n", + "Dep. Variable: temperature No. Observations: 268\n", + "Model: SARIMAX(1, 1, 1)x(1, 1, 1, 24) Log Likelihood 1048.500\n", + "Date: Tue, 29 Apr 2025 AIC -2079.000\n", + "Time: 13:10:32 BIC -2047.563\n", + "Sample: 0 HQIC -2066.338\n", + " - 268 \n", + "Covariance Type: opg \n", + "==============================================================================\n", + " coef std err z P>|z| [0.025 0.975]\n", + "------------------------------------------------------------------------------\n", + "temp_feel 0.4718 0.042 11.252 0.000 0.390 0.554\n", + "pressure -0.0295 0.056 -0.526 0.599 -0.139 0.080\n", + "wind_speed 0.1203 0.011 10.664 0.000 0.098 0.142\n", + "humidity -0.0166 0.115 -0.144 0.886 -0.243 0.210\n", + "ar.L1 0.0021 0.258 0.008 0.993 -0.503 0.508\n", + "ma.L1 -0.2901 0.262 -1.108 0.268 -0.803 0.223\n", + "ar.S.L24 -0.2536 0.140 -1.808 0.071 -0.528 0.021\n", + "ma.S.L24 -0.3100 0.157 -1.972 0.049 -0.618 -0.002\n", + "sigma2 1.013e-05 1.05e-06 9.681 0.000 8.08e-06 1.22e-05\n", + "===================================================================================\n", + "Ljung-Box (L1) (Q): 0.06 Jarque-Bera (JB): 0.86\n", + "Prob(Q): 0.81 Prob(JB): 0.65\n", + "Heteroskedasticity (H): 0.97 Skew: 0.03\n", + "Prob(H) (two-sided): 0.91 Kurtosis: 2.72\n", + "===================================================================================\n", + "\n", + "Warnings:\n", + "[1] Covariance matrix calculated using the outer product of gradients (complex-step).\n", + "\"\"\"" + ] + }, + "execution_count": 269, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import statsmodels.api as sm\n", + "\n", + "endog_col='temperature'\n", + "exog_cols=[c for c in weather_14.columns if c not in ['temperature','temperature_feel']]\n", + "model = sm.tsa.SARIMAX(\n", + " weather_14_train[endog_col],\n", + " weather_14_train[exog_cols],\n", + " seasonal_order=(1, 1, 1, 24),\n", + " order=(1, 1, 1),\n", + ")\n", + "fitted_model = model.fit(maxiter=250, disp=10)\n", + "fitted_model.summary()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 270, + "id": "32e6d72d-dd7a-4455-aac7-d1f16b4ae8f1", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "prediction = fitted_model.get_prediction(start=-100)\n", + "pred_ci = prediction.conf_int(alpha=0.05)\n", + "pred_mean = prediction.predicted_mean\n", + "ax = weather_14_train['temperature'].iloc[-24*5:].plot(label='observed')\n", + "pred_mean.plot(ax=ax, label='One-step ahead Forecast', alpha=.7)\n", + "ax.fill_between(\n", + " pred_ci.index,\n", + " pred_ci.iloc[:, 0],\n", + " pred_ci.iloc[:, 1], color='k', alpha=.2\n", + ")\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 178, + "id": "26113c05-b337-4339-b49c-821fbb3d42b7", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/homebrew/Caskroom/miniconda/base/envs/ml_adapter_sarima/lib/python3.11/site-packages/statsmodels/tsa/base/tsa_model.py:837: ValueWarning: No supported index is available. Prediction results will be given with an integer index beginning at `start`.\n", + " return get_prediction_index(\n", + "/opt/homebrew/Caskroom/miniconda/base/envs/ml_adapter_sarima/lib/python3.11/site-packages/statsmodels/tsa/base/tsa_model.py:837: FutureWarning: No supported index is available. In the next version, calling this method in a model without a supported index will result in an exception.\n", + " return get_prediction_index(\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "forecast_steps = weather_14_test.index.size\n", + "train_len = weather_14_train.index.size\n", + "forecast = fitted_model.get_prediction(\n", + " start=train_len,end=train_len+ forecast_steps-1,\n", + " exog=weather_14_test[exog_cols]\n", + ")\n", + "forecast_mean = forecast.predicted_mean\n", + "\n", + "plt.plot(weather_14.temperature)\n", + "plt.plot(weather_14_test.index, forecast_mean)\n", + "# using a 50% confidence interval:\n", + "forecast_ci = forecast.conf_int(alpha=0.999)\n", + "plt.fill_between(\n", + " weather_14_test.index,\n", + " forecast_ci.iloc[:, 0],\n", + " forecast_ci.iloc[:, 1], \n", + " color='k', alpha=.2\n", + ")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 179, + "id": "1d41f692-6efe-4cc6-b785-739e268c8889", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "temp_feel 0.471785\n", + "pressure -0.029462\n", + "wind_speed 0.120251\n", + "humidity -0.016614\n", + "ar.L1 0.002121\n", + "ma.L1 -0.290122\n", + "ar.S.L24 -0.253588\n", + "ma.S.L24 -0.310034\n", + "sigma2 0.000010\n", + "dtype: float64" + ] + }, + "execution_count": 179, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fitted_model.params" + ] + }, + { + "cell_type": "code", + "execution_count": 180, + "id": "43b07300-0a15-4902-868b-b3205b31e5c6", + "metadata": {}, + "outputs": [], + "source": [ + "current_weather = await hourly_weather_data({ 'resource': '7f33317b-a45e-4b0a-94a2-9bbbdc746cc1', 'until':'-P7D', 'from':'-P21D' })\n", + "train_size = int(len(current_weather.index) * 0.8)\n", + "current_weather_train, current_weather_test = current_weather.iloc[:train_size], current_weather.iloc[train_size:]" + ] + }, + { + "cell_type": "code", + "execution_count": 253, + "id": "39d4285e-4bb4-4261-897b-cfa86302c011", + "metadata": {}, + "outputs": [], + "source": [ + "current_weather_model = sm.SARIMAX(\n", + " current_weather_train['temperature'].values,\n", + " current_weather_train[exog_cols].values,\n", + " seasonal_order=(1, 1, 1, 24),\n", + " order=(1, 1, 1),\n", + ")\n", + "current_fitted = current_weather_model.smooth(fitted_model.params)" + ] + }, + { + "cell_type": "code", + "execution_count": 212, + "id": "d951252b-86d6-44e8-ba44-2c46dc682265", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ax = current_weather_train['temperature'].plot(label='train')\n", + "current_weather_test['temperature'].plot(label='test')\n", + "end=current_fitted.data.endog.size\n", + "prediction = current_fitted.get_prediction(\n", + " start=end, end=end+current_weather_test.index.size-1,\n", + " exog=current_weather_test[exog_cols]\n", + ")\n", + "pred_ci = prediction.conf_int(alpha=0.5)\n", + "pred_mean = prediction.predicted_mean\n", + "# pred_mean.plot(ax=ax, label='One-step ahead Forecast', alpha=.7)\n", + "ax.fill_between(\n", + " current_weather_test.index,\n", + " pred_ci[:, 0],\n", + " pred_ci[:, 1], color='k', alpha=.2,\n", + " label='ci'\n", + ")\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 265, + "id": "9f6db3dd-f275-43d6-a15c-f4f38bc7e573", + "metadata": {}, + "outputs": [], + "source": [ + "np.save('current_weather_test.npy',current_weather_test.values)" + ] + }, + { + "cell_type": "code", + "execution_count": 267, + "id": "326ea196-3821-47f9-a76d-c23529177192", + "metadata": {}, + "outputs": [], + "source": [ + "np.save('current_weather_test.idx.npy',current_weather_test.reset_index().values)" + ] + }, + { + "cell_type": "code", + "execution_count": 291, + "id": "5a92f8bb-be83-4601-aa78-f949ec1379f0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "3" + ] + }, + "execution_count": 291, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "math.prod(np.array([[[1,2,3]]]).shape)" + ] + }, + { + "cell_type": "code", + "execution_count": 290, + "id": "21ccab53-3e4e-4ec2-bb5c-c7aa858fe35b", + "metadata": {}, + "outputs": [], + "source": [ + "import math" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0256fc91-898b-4a3c-95e9-2b83cf032d9c", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/ml_adapter/sarima_weather/weather/README.md b/ml_adapter/sarima_weather/weather/README.md new file mode 100644 index 0000000..72fa581 --- /dev/null +++ b/ml_adapter/sarima_weather/weather/README.md @@ -0,0 +1,7 @@ +1. Create a new empty resource on the Waylay console +2. Run `weatherHistory.ipynb`: as indicated in the first cell, you will need to + * set the ResourceId parameter + * download the CSV file containing historic weather data (link in notebook) and store it as `weatherHistory.csv` +3. Upload the provided sensor `sensors-GetWeatherAdjusted-1.0.3.json` if it does not exist already +4. Upload the provided rule template `HourlyWeather.json` +5. Create a task for this template and resource, with the desired period \ No newline at end of file diff --git a/ml_adapter/sarima_weather/weather/recentWeatherHistoryDaily.csv b/ml_adapter/sarima_weather/weather/recentWeatherHistoryDaily.csv new file mode 100644 index 0000000..9720d3f --- /dev/null +++ b/ml_adapter/sarima_weather/weather/recentWeatherHistoryDaily.csv @@ -0,0 +1,4020 @@ +timestamp,temperature,temp_feel,pressure,humidity,wind_speed,description,type,resource +2014-07-27 11:58:35.449695068+00:00,9.47222222222222,7.388888888888888,1015.13,0.89,14.1197,partly cloudy,rain,test_sarima_daily +2014-08-05 11:58:37.680695068+00:00,10.42222222222222,10.42222222222222,1014.4,0.62,16.985500000000002,partly cloudy,rain,test_sarima_daily +2014-08-06 11:58:37.321695068+00:00,13.77222222222222,13.77222222222222,1007.36,0.6,17.0982,overcast,rain,test_sarima_daily +2014-08-07 11:58:36.254695068+00:00,8.199999999999998,5.072222222222224,1004.8,0.96,20.447,foggy,rain,test_sarima_daily +2014-08-08 11:58:28.982695068+00:00,7.316666666666667,6.211111111111111,1007.07,0.75,6.6654,mostly cloudy,rain,test_sarima_daily +2014-08-09 11:58:33.675695068+00:00,6.622222222222224,4.111111111111111,1012.22,0.85,12.719,mostly cloudy,rain,test_sarima_daily +2014-08-10 11:58:35.180695068+00:00,10.444444444444445,10.444444444444445,1014.75,0.83,2.6404,mostly cloudy,rain,test_sarima_daily +2014-08-11 11:58:29.536695068+00:00,12.266666666666666,12.266666666666666,1016.8,0.69,14.1358,overcast,rain,test_sarima_daily +2014-08-12 11:58:37.622695068+00:00,11.183333333333334,11.183333333333334,1012.6,0.93,6.923,mostly cloudy,rain,test_sarima_daily +2014-08-13 11:58:35.467695068+00:00,9.522222222222222,7.861111111111111,1012.52,0.88,11.27,partly cloudy,rain,test_sarima_daily +2014-08-14 11:58:29.753695068+00:00,14.372222222222222,14.372222222222222,1011.83,0.75,6.5366,overcast,rain,test_sarima_daily +2014-07-28 11:58:35.862695068+00:00,9.555555555555555,8.850000000000001,1015.68,0.8,6.488300000000001,mostly cloudy,rain,test_sarima_daily +2014-08-15 11:58:36.031695068+00:00,11.827777777777776,11.827777777777776,1011.68,0.92,3.0268,partly cloudy,rain,test_sarima_daily +2014-08-16 11:58:27.925695068+00:00,11.52777777777778,11.52777777777778,1016.43,0.96,3.1556,mostly cloudy,rain,test_sarima_daily +2014-08-17 11:58:29.449695068+00:00,9.883333333333333,9.883333333333333,1017.65,0.96,3.3649,foggy,rain,test_sarima_daily +2014-08-18 11:58:29.950695068+00:00,10.555555555555555,10.555555555555555,1015.83,0.95,6.0375000000000005,clear,rain,test_sarima_daily +2014-08-19 11:58:28.646695068+00:00,11.116666666666664,11.116666666666664,1017.04,0.95,3.1717,partly cloudy,rain,test_sarima_daily +2014-08-20 11:58:34.646695068+00:00,12.711111111111112,12.711111111111112,1020.11,0.89,3.2522,clear,rain,test_sarima_daily +2014-08-21 11:58:31.493695068+00:00,13.311111111111112,13.311111111111112,1018.44,0.82,3.5420000000000007,clear,rain,test_sarima_daily +2014-08-22 11:58:37.253695068+00:00,15.444444444444445,15.444444444444445,1013.92,0.72,13.846,mostly cloudy,rain,test_sarima_daily +2014-08-23 11:58:31.676695068+00:00,13.4,13.4,1012.56,0.9,3.5098000000000003,mostly cloudy,rain,test_sarima_daily +2014-08-24 11:58:29.866695068+00:00,12.316666666666668,12.316666666666668,1009.56,0.65,11.1734,partly cloudy,rain,test_sarima_daily +2014-07-29 11:58:37.208695068+00:00,9.216666666666669,8.627777777777778,1014.24,0.9,5.8443000000000005,partly cloudy,rain,test_sarima_daily +2014-08-25 11:58:33.669695068+00:00,11.6,11.6,1011.68,0.57,16.985500000000002,mostly cloudy,rain,test_sarima_daily +2014-07-30 11:58:31.952695068+00:00,9.533333333333331,8.677777777777777,1013.49,0.76,7.084000000000001,partly cloudy,rain,test_sarima_daily +2014-07-31 11:58:35.445695068+00:00,5.327777777777779,4.1499999999999995,1015.92,0.95,5.892600000000001,partly cloudy,rain,test_sarima_daily +2014-08-01 11:58:37.006695068+00:00,11.688888888888888,11.688888888888888,1005.45,0.8,11.3183,overcast,rain,test_sarima_daily +2014-08-02 11:58:28.578695068+00:00,4.466666666666666,1.277777777777776,1013.9,0.92,13.9748,overcast,rain,test_sarima_daily +2014-08-03 11:58:37.363695068+00:00,3.800000000000002,2.2888888888888874,1017.32,0.82,6.2146,partly cloudy,rain,test_sarima_daily +2014-08-04 11:58:35.321695068+00:00,6.016666666666666,4.783333333333333,1018.39,0.74,6.4078,clear,rain,test_sarima_daily +2014-11-26 11:58:28.273695068+00:00,21.016666666666666,21.016666666666666,1012.02,0.87,3.22,partly cloudy,rain,test_sarima_daily +2014-12-05 11:58:33.179695068+00:00,15.56111111111111,15.56111111111111,1011.53,0.92,3.3327,partly cloudy,rain,test_sarima_daily +2014-12-06 11:58:34.742695068+00:00,17.25,17.25,1008.16,0.89,10.5294,overcast,rain,test_sarima_daily +2014-12-07 11:58:35.602695068+00:00,15.694444444444445,15.694444444444445,1009.79,0.83,6.5044,mostly cloudy,rain,test_sarima_daily +2014-12-08 11:58:36.381695068+00:00,16.733333333333334,16.733333333333334,1007.28,0.93,6.0053,mostly cloudy,rain,test_sarima_daily +2014-12-09 11:58:36.765695068+00:00,16.666666666666668,16.666666666666668,1010.49,0.97,6.1824,overcast,rain,test_sarima_daily +2014-12-10 11:58:31.200695068+00:00,17.711111111111112,17.711111111111112,1013.41,0.84,12.9444,mostly cloudy,rain,test_sarima_daily +2014-12-11 11:58:36.763695068+00:00,15.072222222222225,15.072222222222225,1015.99,0.93,2.2862,partly cloudy,rain,test_sarima_daily +2014-12-12 11:58:35.526695068+00:00,19.35555555555556,19.35555555555556,1012.6,0.74,11.0124,partly cloudy,rain,test_sarima_daily +2014-12-13 11:58:37.307695068+00:00,21.550000000000004,21.550000000000004,1012.66,0.81,6.391700000000001,clear,rain,test_sarima_daily +2014-12-14 11:58:30.857695068+00:00,22.600000000000005,22.600000000000005,1015.69,0.77,6.0536,partly cloudy,rain,test_sarima_daily +2014-11-27 11:58:37.051695068+00:00,20.416666666666668,20.416666666666668,1008.14,0.84,23.860200000000003,mostly cloudy,rain,test_sarima_daily +2014-12-15 11:58:36.402695068+00:00,21.088888888888885,21.088888888888885,1017.18,0.9,3.1878,partly cloudy,rain,test_sarima_daily +2014-12-16 11:58:31.961695068+00:00,21.966666666666672,21.966666666666672,1015.64,0.72,30.8315,breezy and partly cloudy,rain,test_sarima_daily +2014-12-17 11:58:33.196695068+00:00,15.055555555555555,15.055555555555555,1016.27,0.87,6.9391,clear,rain,test_sarima_daily +2014-12-18 11:58:37.028695068+00:00,15.02777777777778,15.02777777777778,1016.11,0.92,3.719100000000001,partly cloudy,rain,test_sarima_daily +2014-12-19 11:58:30.299695068+00:00,13.900000000000002,13.900000000000002,1016.4,0.92,3.3649,partly cloudy,rain,test_sarima_daily +2014-12-20 11:58:31.065695068+00:00,17.061111111111114,17.061111111111114,1011.78,0.71,10.6582,partly cloudy,rain,test_sarima_daily +2014-12-21 11:58:30.939695068+00:00,16.06666666666667,16.06666666666667,1010.12,0.87,6.5044,mostly cloudy,rain,test_sarima_daily +2014-12-22 11:58:34.075695068+00:00,14.07222222222222,14.07222222222222,1010.82,0.85,6.2468,partly cloudy,rain,test_sarima_daily +2014-12-23 11:58:32.415695068+00:00,16.666666666666668,16.666666666666668,1010.67,0.78,3.4615,mostly cloudy,rain,test_sarima_daily +2014-12-24 11:58:29.623695068+00:00,13.872222222222222,13.872222222222222,1007.98,0.93,3.4776,clear,rain,test_sarima_daily +2014-11-28 11:58:31.121695068+00:00,17.13888888888889,17.13888888888889,1009.64,0.87,6.44,partly cloudy,rain,test_sarima_daily +2014-12-25 11:58:29.185695068+00:00,11.644444444444446,11.644444444444446,1009.1,0.95,3.3327,overcast,rain,test_sarima_daily +2014-12-26 11:58:28.987695068+00:00,12.22222222222222,12.22222222222222,1015.16,0.86,11.511500000000002,mostly cloudy,rain,test_sarima_daily +2014-11-29 11:58:29.675695068+00:00,19.4,19.4,1000.81,0.97,10.8192,mostly cloudy,rain,test_sarima_daily +2014-11-30 11:58:34.463695068+00:00,16.461111111111112,16.461111111111112,1008.74,0.97,2.9463000000000004,mostly cloudy,rain,test_sarima_daily +2014-12-01 11:58:32.455695068+00:00,13.988888888888887,13.988888888888887,0.0,0.92,9.7405,clear,rain,test_sarima_daily +2014-12-02 11:58:36.076695068+00:00,15.144444444444442,15.144444444444442,1009.8,0.95,3.1556,partly cloudy,rain,test_sarima_daily +2014-12-03 11:58:34.659695068+00:00,16.688888888888886,16.688888888888886,1004.25,0.97,3.4776,mostly cloudy,rain,test_sarima_daily +2014-12-04 11:58:27.923695068+00:00,15.072222222222225,15.072222222222225,1008.0,0.93,6.327300000000001,partly cloudy,rain,test_sarima_daily +2015-03-28 12:58:30.432695068+00:00,6.572222222222221,5.416666666666667,1038.06,0.93,6.44,overcast,rain,test_sarima_daily +2015-04-06 12:58:32.946695068+00:00,9.044444444444444,6.199999999999998,1015.83,0.83,19.8674,overcast,rain,test_sarima_daily +2015-04-07 12:58:34.690695068+00:00,1.872222222222221,-0.1499999999999997,1033.2,0.91,6.8264000000000005,clear,rain,test_sarima_daily +2015-04-08 12:58:32.473695068+00:00,2.372222222222224,2.372222222222224,1029.02,0.96,2.5438,foggy,rain,test_sarima_daily +2015-04-09 12:58:30.262695068+00:00,0.5333333333333338,-3.566666666666668,1030.9,0.96,14.0875,foggy,rain,test_sarima_daily +2015-04-10 12:58:28.131695068+00:00,-0.0722222222222216,-3.638888888888889,1036.29,1.0,11.0285,foggy,snow,test_sarima_daily +2015-04-11 12:58:30.980695068+00:00,-1.0888888888888897,-1.0888888888888897,1037.09,0.96,3.2683,foggy,snow,test_sarima_daily +2015-04-12 12:58:30.019695068+00:00,-1.183333333333333,-1.183333333333333,1034.23,0.96,3.22,foggy,snow,test_sarima_daily +2015-04-13 12:58:32.031695068+00:00,-1.6222222222222231,-1.6222222222222231,1029.69,1.0,3.22,foggy,snow,test_sarima_daily +2015-04-14 12:58:37.574695068+00:00,1.1111111111111112,1.1111111111111112,1025.94,0.96,3.22,foggy,rain,test_sarima_daily +2015-04-15 12:58:32.212695068+00:00,3.2888888888888896,-1.938888888888888,1023.64,0.82,27.6276,overcast,rain,test_sarima_daily +2015-03-29 12:58:35.640695068+00:00,6.111111111111111,6.111111111111111,1034.7,0.96,3.4937,overcast,rain,test_sarima_daily +2015-04-16 12:58:32.213695068+00:00,1.6888888888888884,-2.6888888888888887,1028.51,0.88,17.259200000000003,overcast,rain,test_sarima_daily +2015-04-17 12:58:35.425695068+00:00,-0.4388888888888884,-2.616666666666667,1032.22,0.92,6.262900000000001,overcast,snow,test_sarima_daily +2015-04-18 12:58:33.716695068+00:00,0.6277777777777792,-1.533333333333334,1041.05,0.92,6.6654,overcast,rain,test_sarima_daily +2015-04-19 12:58:34.410695068+00:00,-1.2722222222222217,-5.1499999999999995,1041.59,0.92,11.27,clear,snow,test_sarima_daily +2015-04-20 12:58:34.080695068+00:00,1.6944444444444429,1.6944444444444429,1040.81,0.94,1.8515,foggy,rain,test_sarima_daily +2015-04-21 12:58:29.431695068+00:00,2.2499999999999982,0.4166666666666667,1032.9,0.82,6.44,overcast,rain,test_sarima_daily +2015-04-22 12:58:35.838695068+00:00,0.7444444444444464,0.7444444444444464,1034.12,0.93,4.1699,foggy,rain,test_sarima_daily +2015-04-23 12:58:33.885695068+00:00,-5.844444444444444,-9.088888888888889,1039.67,0.92,6.7942,clear,snow,test_sarima_daily +2015-04-24 12:58:34.427695068+00:00,-5.0,-7.9,1034.7,0.96,6.3112,foggy,snow,test_sarima_daily +2015-04-25 12:58:30.936695068+00:00,-4.305555555555555,-4.305555555555555,1027.06,0.96,3.3005,foggy,snow,test_sarima_daily +2015-03-30 12:58:29.680695068+00:00,-2.1333333333333333,-2.1333333333333333,1028.01,1.0,0.0,foggy,snow,test_sarima_daily +2015-04-26 12:58:30.256695068+00:00,-3.3500000000000005,-5.877777777777776,1036.9,0.96,6.0536,foggy,snow,test_sarima_daily +2015-04-27 12:58:32.210695068+00:00,-3.355555555555555,-7.538888888888888,1036.82,0.88,10.835300000000002,clear,snow,test_sarima_daily +2015-03-31 12:58:35.366695068+00:00,4.555555555555557,0.8666666666666679,1019.13,0.85,17.388,overcast,rain,test_sarima_daily +2015-04-01 12:58:37.368695068+00:00,7.122222222222222,7.122222222222222,1015.59,0.92,2.5760000000000005,overcast,rain,test_sarima_daily +2015-04-02 12:58:36.043695068+00:00,4.883333333333333,2.3277777777777766,1019.46,1.0,11.0124,foggy,rain,test_sarima_daily +2015-04-03 12:58:36.253695068+00:00,6.577777777777779,3.866666666666667,1016.47,0.87,13.9587,clear,rain,test_sarima_daily +2015-04-04 12:58:33.299695068+00:00,5.088888888888887,2.4833333333333325,1017.16,0.93,11.4471,partly cloudy,rain,test_sarima_daily +2015-04-05 12:58:32.999695068+00:00,7.244444444444444,4.655555555555557,1014.93,0.86,14.1358,partly cloudy,rain,test_sarima_daily +2014-05-29 12:58:29.463695068+00:00,-2.144444444444444,-6.199999999999999,1025.18,0.86,11.27,overcast,snow,test_sarima_daily +2014-06-07 12:58:32.274695068+00:00,-2.783333333333334,-5.338888888888889,1009.46,0.96,6.3112,foggy,snow,test_sarima_daily +2014-06-08 12:58:35.375695068+00:00,-1.4999999999999996,-3.816666666666668,1014.9,1.0,6.1985,foggy,snow,test_sarima_daily +2014-06-09 12:58:36.021695068+00:00,-4.261111111111112,-7.188888888888889,1022.67,0.91,6.6332,clear,snow,test_sarima_daily +2014-06-10 12:58:33.171695068+00:00,-2.783333333333334,-6.944444444444445,1022.77,0.78,11.1734,partly cloudy,snow,test_sarima_daily +2014-06-11 12:58:28.599695068+00:00,-3.711111111111111,-3.711111111111111,1024.12,0.88,3.5581,mostly cloudy,snow,test_sarima_daily +2014-06-12 12:58:36.282695068+00:00,-2.244444444444444,-2.244444444444444,1024.64,0.92,3.3488,mostly cloudy,snow,test_sarima_daily +2014-06-13 12:58:32.843695068+00:00,0.0222222222222217,-4.766666666666666,1012.13,0.86,17.243100000000002,overcast,rain,test_sarima_daily +2014-06-14 12:58:36.032695068+00:00,2.8611111111111103,-0.0166666666666672,1000.5,0.96,10.577700000000002,foggy,rain,test_sarima_daily +2014-06-15 12:58:32.548695068+00:00,0.6666666666666683,-1.3999999999999997,1007.58,0.96,6.423900000000001,mostly cloudy,rain,test_sarima_daily +2014-06-16 12:58:34.595695068+00:00,2.683333333333332,0.9777777777777766,1011.08,0.83,6.279,partly cloudy,rain,test_sarima_daily +2014-05-30 12:58:37.322695068+00:00,-2.383333333333333,-4.933333333333333,1023.5,0.88,6.44,overcast,snow,test_sarima_daily +2014-06-17 12:58:37.129695068+00:00,4.561111111111112,1.3666666666666671,1011.98,0.82,14.1358,clear,rain,test_sarima_daily +2014-06-18 12:58:31.123695068+00:00,5.622222222222221,4.249999999999999,1011.13,0.89,6.6493,mostly cloudy,rain,test_sarima_daily +2014-06-19 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15:58:32.087695068+00:00,15.066666666666666,15.066666666666666,1015.75,0.9,2.8175000000000003,mostly cloudy,rain,test_sarima_daily +2024-09-23 15:58:34.043695068+00:00,14.97777777777778,14.97777777777778,1010.81,0.87,6.1502,partly cloudy,rain,test_sarima_daily +2024-08-28 15:58:36.307695068+00:00,12.711111111111112,12.711111111111112,1010.4,0.8,14.1197,overcast,rain,test_sarima_daily +2024-09-24 15:58:31.429695068+00:00,18.84444444444445,18.84444444444445,1007.64,0.89,3.703,mostly cloudy,rain,test_sarima_daily +2024-09-25 15:58:36.032695068+00:00,16.35,16.35,1010.92,0.79,11.125100000000002,partly cloudy,rain,test_sarima_daily +2024-08-29 15:58:36.172695068+00:00,10.994444444444444,10.994444444444444,1011.17,0.9,10.787,mostly cloudy,rain,test_sarima_daily +2024-08-30 15:58:31.066695068+00:00,10.438888888888888,10.438888888888888,1017.33,0.89,14.2163,mostly cloudy,rain,test_sarima_daily +2024-08-31 15:58:37.767695068+00:00,8.311111111111112,6.433333333333333,1018.96,0.89,11.0768,partly 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cloudy,rain,test_sarima_hourly +2020-08-08 14:58:36.249695068+00:00,4.533333333333331,2.944444444444443,1007.0,0.86,6.7942,partly cloudy,,test_sarima_hourly +2020-08-08 15:58:33.000695068+00:00,3.4666666666666677,3.4666666666666677,1006.8,0.9,4.2343,partly cloudy,,test_sarima_hourly +2020-08-08 16:58:35.641695068+00:00,3.3611111111111094,3.3611111111111094,1006.51,0.9,4.0572,partly cloudy,rain,test_sarima_hourly +2020-08-08 17:58:36.150695068+00:00,2.4555555555555566,1.0999999999999983,1006.38,0.93,5.2647,partly cloudy,,test_sarima_hourly +2020-08-08 18:58:31.317695068+00:00,6.111111111111111,6.111111111111111,1006.9,0.79,4.83,mostly cloudy,rain,test_sarima_hourly +2020-08-08 19:58:31.615695068+00:00,9.877777777777778,8.649999999999999,1007.15,0.72,9.160900000000002,partly cloudy,rain,test_sarima_hourly +2020-08-08 20:58:37.750695068+00:00,12.77777777777778,12.77777777777778,1006.5,0.64,11.27,mostly cloudy,rain,test_sarima_hourly +2020-08-08 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00:58:28.946695068+00:00,16.183333333333334,16.183333333333334,1004.9,0.58,10.0786,partly cloudy,,test_sarima_hourly +2020-08-12 01:58:37.490695068+00:00,17.183333333333334,17.183333333333334,1004.82,0.53,10.4167,mostly cloudy,rain,test_sarima_hourly +2020-08-12 02:58:32.937695068+00:00,17.366666666666664,17.366666666666664,1004.76,0.48,8.694,partly cloudy,,test_sarima_hourly +2020-08-12 03:58:33.269695068+00:00,17.22222222222222,17.22222222222222,1004.4,0.52,9.66,partly cloudy,rain,test_sarima_hourly +2020-08-12 04:58:31.622695068+00:00,17.31111111111111,17.31111111111111,1004.97,0.51,6.9069,partly cloudy,rain,test_sarima_hourly +2020-08-12 05:58:30.952695068+00:00,16.366666666666667,16.366666666666667,1004.92,0.55,12.799500000000002,partly cloudy,,test_sarima_hourly +2020-08-12 06:58:31.769695068+00:00,15.13888888888889,15.13888888888889,1005.23,0.59,13.3147,mostly cloudy,,test_sarima_hourly +2020-08-12 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23:58:30.981695068+00:00,23.79444444444444,23.79444444444444,1013.72,0.58,7.5187,partly cloudy,rain,test_sarima_hourly +2022-12-11 00:58:37.377695068+00:00,23.83888888888889,23.83888888888889,1013.6,0.54,9.3058,partly cloudy,rain,test_sarima_hourly +2022-12-11 01:58:33.992695068+00:00,24.73888888888889,24.73888888888889,1013.17,0.48,8.8067,mostly cloudy,rain,test_sarima_hourly +2022-12-11 02:58:33.713695068+00:00,24.90555555555555,24.90555555555555,1012.71,0.5,7.728,partly cloudy,rain,test_sarima_hourly +2022-12-11 03:58:30.451695068+00:00,24.95,24.95,1012.31,0.47,2.9302,mostly cloudy,rain,test_sarima_hourly +2022-12-11 04:58:36.441695068+00:00,25.73333333333333,25.73333333333333,1012.09,0.45,4.186000000000001,partly cloudy,rain,test_sarima_hourly +2022-12-11 05:58:29.004695068+00:00,24.90555555555555,24.90555555555555,1011.62,0.47,7.695800000000001,partly cloudy,rain,test_sarima_hourly +2022-12-11 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13:58:35.524695068+00:00,16.81111111111111,16.81111111111111,1012.97,0.9,6.423900000000001,partly cloudy,rain,test_sarima_hourly +2022-12-11 14:58:36.618695068+00:00,16.644444444444446,16.644444444444446,1013.16,0.87,17.114300000000004,partly cloudy,rain,test_sarima_hourly +2022-12-11 15:58:29.677695068+00:00,15.483333333333333,15.483333333333333,1013.63,0.9,10.8675,partly cloudy,rain,test_sarima_hourly +2022-12-11 16:58:33.624695068+00:00,15.577777777777776,15.577777777777776,1013.77,0.91,6.5205,mostly cloudy,rain,test_sarima_hourly +2022-12-11 17:58:37.408695068+00:00,15.994444444444444,15.994444444444444,1014.15,0.87,12.525800000000002,mostly cloudy,rain,test_sarima_hourly +2022-12-11 18:58:34.179695068+00:00,15.994444444444444,15.994444444444444,1014.27,0.82,11.2217,mostly cloudy,rain,test_sarima_hourly +2022-12-11 19:58:33.755695068+00:00,17.511111111111113,17.511111111111113,1014.9,0.75,20.9783,mostly cloudy,rain,test_sarima_hourly +2022-12-11 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cloudy,rain,test_sarima_hourly +2022-11-20 23:58:32.895695068+00:00,27.916666666666668,28.000000000000004,1013.61,0.46,4.5724,mostly cloudy,rain,test_sarima_hourly +2022-11-21 00:58:33.757695068+00:00,30.04444444444444,29.41111111111111,1013.29,0.37,4.459700000000001,mostly cloudy,rain,test_sarima_hourly +2022-11-21 01:58:32.352695068+00:00,30.85,30.050000000000004,1012.55,0.35,1.8998,mostly cloudy,rain,test_sarima_hourly +2022-11-21 02:58:32.410695068+00:00,29.92777777777778,29.04444444444444,1012.1,0.34,7.5187,mostly cloudy,rain,test_sarima_hourly +2022-11-21 03:58:31.239695068+00:00,30.97222222222222,29.961111111111116,1011.41,0.33,4.652900000000001,mostly cloudy,rain,test_sarima_hourly +2022-11-21 04:58:34.806695068+00:00,28.277777777777786,28.377777777777776,1011.04,0.46,8.033900000000001,partly cloudy,rain,test_sarima_hourly +2022-11-21 05:58:32.588695068+00:00,29.949999999999996,29.15,1010.8,0.35,3.5098000000000003,partly cloudy,rain,test_sarima_hourly +2022-11-21 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13:58:32.722695068+00:00,21.36666666666666,21.36666666666666,1011.61,0.78,9.177,mostly cloudy,rain,test_sarima_hourly +2022-11-21 14:58:29.874695068+00:00,21.37222222222222,21.37222222222222,1011.92,0.8,5.892600000000001,mostly cloudy,rain,test_sarima_hourly +2022-11-21 15:58:30.577695068+00:00,19.844444444444445,19.844444444444445,1011.7,0.87,3.1717,overcast,rain,test_sarima_hourly +2022-11-21 16:58:36.993695068+00:00,19.783333333333335,19.783333333333335,1011.88,0.88,9.9659,overcast,rain,test_sarima_hourly +2022-11-21 17:58:30.337695068+00:00,18.84444444444445,18.84444444444445,1011.82,0.9,3.4776,overcast,rain,test_sarima_hourly +2022-11-21 18:58:35.462695068+00:00,19.983333333333334,19.983333333333334,1012.0,0.84,4.395300000000001,mostly cloudy,rain,test_sarima_hourly +2022-11-21 19:58:32.675695068+00:00,22.027777777777786,22.027777777777786,1012.8,0.75,3.059,mostly cloudy,rain,test_sarima_hourly +2022-11-21 20:58:35.299695068+00:00,22.76666666666667,22.76666666666667,1012.62,0.71,4.7334000000000005,mostly cloudy,rain,test_sarima_hourly +2022-11-21 21:58:34.606695068+00:00,19.244444444444444,19.244444444444444,1013.83,0.89,14.2646,mostly cloudy,rain,test_sarima_hourly +2022-11-21 22:58:31.726695068+00:00,18.4,18.4,1014.41,0.95,7.293300000000001,overcast,rain,test_sarima_hourly +2022-11-21 23:58:37.218695068+00:00,20.294444444444444,20.294444444444444,1014.46,0.85,1.7227,humid and overcast,rain,test_sarima_hourly +2022-11-22 00:58:34.609695068+00:00,21.2,21.2,1014.48,0.81,3.4132,overcast,rain,test_sarima_hourly +2022-11-22 01:58:37.570695068+00:00,23.811111111111114,23.811111111111114,1013.21,0.67,8.0822,mostly cloudy,rain,test_sarima_hourly +2022-11-22 02:58:35.288695068+00:00,25.016666666666666,25.016666666666666,1012.61,0.62,7.985600000000001,mostly cloudy,rain,test_sarima_hourly +2022-11-22 03:58:32.650695068+00:00,25.11111111111111,25.11111111111111,1012.1,0.62,9.6117,mostly 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11:58:34.301695068+00:00,17.800000000000004,17.800000000000004,1013.4,0.91,10.948,overcast,rain,test_sarima_hourly +2022-11-22 12:58:29.808695068+00:00,17.266666666666666,17.266666666666666,1013.78,0.91,13.8138,overcast,rain,test_sarima_hourly +2022-11-22 13:58:29.322695068+00:00,17.344444444444445,17.344444444444445,1013.17,0.94,10.448900000000002,overcast,rain,test_sarima_hourly +2022-11-22 14:58:35.766695068+00:00,17.266666666666666,17.266666666666666,1012.14,0.93,3.4615,overcast,rain,test_sarima_hourly +2022-11-22 15:58:28.721695068+00:00,17.244444444444444,17.244444444444444,1011.92,0.97,5.7799000000000005,overcast,rain,test_sarima_hourly +2022-11-22 16:58:31.664695068+00:00,17.733333333333334,17.733333333333334,1011.84,0.94,3.5420000000000007,mostly cloudy,rain,test_sarima_hourly +2022-11-22 17:58:36.586695068+00:00,17.733333333333334,17.733333333333334,1012.11,0.97,3.3327,overcast,rain,test_sarima_hourly +2022-11-22 18:58:35.574695068+00:00,18.79444444444444,18.79444444444444,1012.5,0.91,3.4776,overcast,rain,test_sarima_hourly +2022-11-22 19:58:33.315695068+00:00,20.59444444444444,20.59444444444444,1012.53,0.84,7.1967,mostly cloudy,rain,test_sarima_hourly +2022-11-22 20:58:35.158695068+00:00,21.922222222222217,21.922222222222217,1012.63,0.78,4.8944,mostly cloudy,rain,test_sarima_hourly +2022-11-22 21:58:32.628695068+00:00,22.505555555555556,22.505555555555556,1012.82,0.74,8.1949,mostly cloudy,rain,test_sarima_hourly +2022-11-22 22:58:29.449695068+00:00,23.366666666666667,23.366666666666667,1012.41,0.7,12.4614,mostly cloudy,rain,test_sarima_hourly +2022-11-22 23:58:27.921695068+00:00,22.17777777777778,22.17777777777778,1012.24,0.81,9.5634,mostly cloudy,rain,test_sarima_hourly +2022-11-23 00:58:34.160695068+00:00,23.755555555555556,23.755555555555556,1012.4,0.7,20.1089,mostly cloudy,rain,test_sarima_hourly +2022-11-23 01:58:32.295695068+00:00,22.16111111111111,22.16111111111111,1011.9,0.76,17.0177,mostly cloudy,rain,test_sarima_hourly +2022-11-23 02:58:29.142695068+00:00,23.82222222222222,23.82222222222222,1011.78,0.67,11.2861,mostly cloudy,rain,test_sarima_hourly +2022-11-23 03:58:35.622695068+00:00,24.833333333333332,24.833333333333332,1011.02,0.63,13.9104,mostly cloudy,rain,test_sarima_hourly +2022-11-23 04:58:33.490695068+00:00,23.922222222222224,23.922222222222224,1010.84,0.7,10.835300000000002,partly cloudy,rain,test_sarima_hourly +2022-11-23 05:58:28.713695068+00:00,24.81666666666667,24.81666666666667,1010.52,0.64,11.9301,mostly cloudy,rain,test_sarima_hourly +2022-11-23 06:58:32.067695068+00:00,22.77777777777778,22.77777777777778,1010.32,0.73,7.647500000000001,mostly cloudy,rain,test_sarima_hourly +2022-11-23 07:58:37.730695068+00:00,21.36111111111111,21.36111111111111,1010.46,0.82,11.6242,mostly cloudy,rain,test_sarima_hourly +2022-11-23 08:58:32.755695068+00:00,20.022222222222226,20.022222222222226,1010.79,0.93,8.05,mostly cloudy,rain,test_sarima_hourly +2022-11-23 09:58:32.516695068+00:00,20.416666666666668,20.416666666666668,1011.09,0.88,10.8192,mostly cloudy,rain,test_sarima_hourly +2022-11-23 10:58:31.847695068+00:00,19.466666666666672,19.466666666666672,1011.02,0.89,10.6904,mostly cloudy,rain,test_sarima_hourly +2022-11-23 11:58:33.788695068+00:00,18.86666666666666,18.86666666666666,1010.98,0.88,6.3434,partly cloudy,rain,test_sarima_hourly +2022-11-23 12:58:28.504695068+00:00,18.383333333333336,18.383333333333336,1010.69,0.93,6.4078,mostly cloudy,rain,test_sarima_hourly +2022-11-23 13:58:34.994695068+00:00,18.833333333333336,18.833333333333336,1010.49,0.91,10.7387,mostly cloudy,rain,test_sarima_hourly +2022-11-23 14:58:28.476695068+00:00,18.82222222222222,18.82222222222222,1010.2,0.93,6.3756,mostly cloudy,rain,test_sarima_hourly +2022-11-23 15:58:32.826695068+00:00,18.8,18.8,1010.3,0.9,3.22,mostly 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23:58:30.169695068+00:00,26.016666666666666,26.016666666666666,1010.3,0.65,4.83,partly cloudy,rain,test_sarima_hourly +2022-11-24 00:58:30.900695068+00:00,27.061111111111103,27.788888888888884,1010.19,0.55,4.7012,mostly cloudy,rain,test_sarima_hourly +2022-11-24 01:58:28.334695068+00:00,26.994444444444447,27.71111111111111,1009.93,0.55,7.228900000000001,mostly cloudy,rain,test_sarima_hourly +2022-11-24 02:58:31.984695068+00:00,27.194444444444443,27.90555555555556,1009.41,0.54,9.1931,mostly cloudy,rain,test_sarima_hourly +2022-11-24 03:58:32.008695068+00:00,27.216666666666665,28.055555555555557,1009.19,0.56,7.8729,mostly cloudy,rain,test_sarima_hourly +2022-11-24 04:58:35.717695068+00:00,26.2,26.2,1009.43,0.58,9.5473,mostly cloudy,rain,test_sarima_hourly +2022-11-24 05:58:34.212695068+00:00,26.03888888888889,26.03888888888889,1008.82,0.6,10.4167,mostly cloudy,rain,test_sarima_hourly +2022-11-24 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23:58:36.429695068+00:00,24.4,24.4,1013.51,0.66,16.6152,mostly cloudy,rain,test_sarima_hourly +2023-01-06 00:58:30.079695068+00:00,22.43333333333333,22.43333333333333,1013.56,0.72,16.4864,mostly cloudy,rain,test_sarima_hourly +2023-01-06 01:58:35.392695068+00:00,22.772222222222226,22.772222222222226,1013.16,0.7,17.146500000000003,mostly cloudy,rain,test_sarima_hourly +2023-01-06 02:58:30.703695068+00:00,21.9,21.9,1012.77,0.7,16.2449,overcast,rain,test_sarima_hourly +2023-01-06 03:58:35.009695068+00:00,21.966666666666672,21.966666666666672,1012.56,0.66,19.5776,overcast,rain,test_sarima_hourly +2023-01-06 04:58:34.539695068+00:00,21.088888888888885,21.088888888888885,1012.19,0.73,15.005200000000002,overcast,rain,test_sarima_hourly +2023-01-06 05:58:29.005695068+00:00,19.85555555555555,19.85555555555555,1012.45,0.79,15.423800000000002,mostly cloudy,rain,test_sarima_hourly +2023-01-06 06:58:32.539695068+00:00,19.81111111111111,19.81111111111111,1012.17,0.79,10.6421,mostly 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18:58:29.261695068+00:00,17.16111111111111,17.16111111111111,1010.87,0.93,10.948,overcast,rain,test_sarima_hourly +2023-01-07 19:58:36.571695068+00:00,17.6,17.6,1011.47,0.97,12.4292,overcast,rain,test_sarima_hourly +2023-01-07 20:58:33.050695068+00:00,17.644444444444442,17.644444444444442,1012.1,0.97,9.3702,overcast,rain,test_sarima_hourly +2023-01-07 21:58:28.423695068+00:00,17.200000000000003,17.200000000000003,1013.08,0.93,6.423900000000001,overcast,rain,test_sarima_hourly +2023-01-07 22:58:36.011695068+00:00,17.21666666666667,17.21666666666667,1013.86,0.93,9.0804,overcast,rain,test_sarima_hourly +2023-01-07 23:58:32.122695068+00:00,17.288888888888888,17.288888888888888,1014.19,0.92,6.295100000000001,overcast,rain,test_sarima_hourly +2023-01-08 00:58:37.472695068+00:00,19.88333333333334,19.88333333333334,1014.41,0.84,9.7083,mostly cloudy,rain,test_sarima_hourly +2023-01-08 01:58:29.205695068+00:00,20.961111111111116,20.961111111111116,1014.38,0.78,5.4579,mostly 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00:58:33.411695068+00:00,21.100000000000005,21.100000000000005,1014.84,0.8,5.0393,mostly cloudy,rain,test_sarima_hourly +2023-01-09 01:58:30.186695068+00:00,21.36111111111111,21.36111111111111,1014.98,0.78,11.3988,mostly cloudy,rain,test_sarima_hourly +2023-01-09 02:58:35.510695068+00:00,22.15,22.15,1015.22,0.68,8.05,overcast,rain,test_sarima_hourly +2023-01-09 03:58:33.427695068+00:00,22.10555555555556,22.10555555555556,1014.36,0.73,10.851400000000002,overcast,rain,test_sarima_hourly +2023-01-09 04:58:30.087695068+00:00,22.022222222222226,22.022222222222226,1014.16,0.74,13.3952,overcast,rain,test_sarima_hourly +2023-01-09 05:58:37.844695068+00:00,17.266666666666666,17.266666666666666,1013.81,0.88,25.6312,overcast,rain,test_sarima_hourly +2023-01-09 06:58:32.241695068+00:00,15.18888888888889,15.18888888888889,1015.74,0.93,7.550900000000001,overcast,rain,test_sarima_hourly +2023-01-09 07:58:30.039695068+00:00,15.56111111111111,15.56111111111111,1015.57,0.98,11.7047,mostly 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15:58:35.553695068+00:00,17.127777777777776,17.127777777777776,1014.46,0.97,11.27,overcast,rain,test_sarima_hourly +2023-01-09 16:58:34.145695068+00:00,17.16111111111111,17.16111111111111,1014.75,0.97,6.118,mostly cloudy,rain,test_sarima_hourly +2023-01-09 17:58:28.514695068+00:00,17.15,17.15,1014.26,1.0,8.0983,mostly cloudy,rain,test_sarima_hourly +2023-01-09 18:58:27.959695068+00:00,17.15,17.15,1014.34,0.99,5.0876,overcast,rain,test_sarima_hourly +2023-01-09 19:58:33.616695068+00:00,17.677777777777777,17.677777777777777,1014.45,0.96,7.760200000000001,mostly cloudy,rain,test_sarima_hourly +2023-01-09 20:58:35.499695068+00:00,18.75,18.75,1014.54,0.9,5.5384,mostly cloudy,rain,test_sarima_hourly +2023-01-09 21:58:28.359695068+00:00,18.81666666666667,18.81666666666667,1014.83,0.93,7.905100000000001,overcast,rain,test_sarima_hourly +2023-01-09 22:58:29.484695068+00:00,19.688888888888886,19.688888888888886,1015.02,0.86,11.3505,mostly cloudy,rain,test_sarima_hourly +2023-01-09 23:58:32.145695068+00:00,19.92777777777778,19.92777777777778,1014.93,0.84,12.2521,mostly cloudy,rain,test_sarima_hourly +2023-01-10 00:58:34.333695068+00:00,22.03888888888889,22.03888888888889,1015.01,0.74,13.5884,mostly cloudy,rain,test_sarima_hourly +2023-01-10 01:58:30.478695068+00:00,20.99444444444445,20.99444444444445,1015.02,0.78,10.851400000000002,mostly cloudy,rain,test_sarima_hourly +2023-01-10 02:58:34.580695068+00:00,21.11111111111111,21.11111111111111,1014.87,0.73,10.851400000000002,mostly cloudy,rain,test_sarima_hourly +2023-01-10 03:58:37.280695068+00:00,22.199999999999996,22.199999999999996,1014.67,0.64,10.7387,mostly cloudy,rain,test_sarima_hourly +2023-01-10 04:58:33.718695068+00:00,22.066666666666663,22.066666666666663,1014.33,0.68,4.9588,partly cloudy,rain,test_sarima_hourly +2023-01-10 05:58:36.225695068+00:00,20.0,20.0,1014.51,0.68,16.0195,mostly cloudy,rain,test_sarima_hourly +2023-01-10 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14:58:35.203695068+00:00,16.016666666666666,16.016666666666666,1015.24,0.97,3.22,mostly cloudy,rain,test_sarima_hourly +2023-01-10 15:58:37.041695068+00:00,15.97222222222222,15.97222222222222,1015.24,0.97,6.0697,overcast,rain,test_sarima_hourly +2023-01-10 16:58:33.835695068+00:00,15.86111111111111,15.86111111111111,1015.17,0.97,6.1502,overcast,rain,test_sarima_hourly +2023-01-10 17:58:37.784695068+00:00,15.933333333333334,15.933333333333334,1015.34,0.93,9.3541,overcast,rain,test_sarima_hourly +2023-01-10 18:58:33.531695068+00:00,15.933333333333334,15.933333333333334,1015.46,0.93,9.2253,overcast,rain,test_sarima_hourly +2023-01-10 19:58:34.554695068+00:00,16.033333333333335,16.033333333333335,1015.59,0.94,9.6278,overcast,rain,test_sarima_hourly +2023-01-10 20:58:32.632695068+00:00,16.08888888888889,16.08888888888889,1015.95,1.0,9.2414,overcast,rain,test_sarima_hourly +2023-01-10 21:58:33.564695068+00:00,17.17777777777778,17.17777777777778,1016.06,0.93,10.8192,overcast,rain,test_sarima_hourly +2023-01-10 22:58:31.119695068+00:00,17.755555555555556,17.755555555555556,1016.39,0.9,12.2038,overcast,rain,test_sarima_hourly +2023-01-10 23:58:35.874695068+00:00,17.89444444444444,17.89444444444444,1016.62,0.89,7.647500000000001,mostly cloudy,rain,test_sarima_hourly +2023-01-11 00:58:29.688695068+00:00,20.04444444444444,20.04444444444444,1016.63,0.73,2.9785000000000004,mostly cloudy,rain,test_sarima_hourly +2023-01-11 01:58:36.258695068+00:00,18.09444444444444,18.09444444444444,1016.45,0.88,14.023100000000005,mostly cloudy,rain,test_sarima_hourly +2023-01-11 02:58:28.033695068+00:00,17.883333333333333,17.883333333333333,1016.69,0.83,17.0177,overcast,rain,test_sarima_hourly +2023-01-11 03:58:30.148695068+00:00,17.45,17.45,1016.87,0.86,14.651,overcast,rain,test_sarima_hourly +2023-01-11 04:58:37.096695068+00:00,17.23888888888889,17.23888888888889,1017.11,0.88,9.177,overcast,rain,test_sarima_hourly +2023-01-11 05:58:28.759695068+00:00,16.20555555555556,16.20555555555556,1017.12,0.93,3.5903,overcast,rain,test_sarima_hourly +2023-01-11 06:58:32.889695068+00:00,16.133333333333333,16.133333333333333,1017.2,0.93,4.7012,mostly cloudy,rain,test_sarima_hourly +2023-01-11 07:58:29.041695068+00:00,16.038888888888888,16.038888888888888,1017.36,0.93,0.3381,mostly cloudy,rain,test_sarima_hourly +2023-01-11 08:58:30.796695068+00:00,15.044444444444444,15.044444444444444,1017.61,0.93,1.61,mostly cloudy,rain,test_sarima_hourly +2023-01-11 09:58:33.498695068+00:00,14.511111111111113,14.511111111111113,1017.71,0.96,3.22,mostly cloudy,rain,test_sarima_hourly +2023-01-11 10:58:33.178695068+00:00,14.494444444444447,14.494444444444447,1017.72,0.99,5.6833,mostly cloudy,rain,test_sarima_hourly +2023-01-11 11:58:34.398695068+00:00,14.444444444444445,14.444444444444445,1017.73,0.96,3.1717,mostly cloudy,rain,test_sarima_hourly +2023-01-11 12:58:33.413695068+00:00,14.422222222222224,14.422222222222224,1017.83,0.96,3.0751,mostly cloudy,rain,test_sarima_hourly +2023-01-11 13:58:29.835695068+00:00,14.349999999999998,14.349999999999998,1017.83,0.96,3.6547,mostly cloudy,rain,test_sarima_hourly +2023-01-11 14:58:29.171695068+00:00,14.355555555555558,14.355555555555558,1017.73,0.96,3.22,overcast,rain,test_sarima_hourly +2023-01-11 15:58:31.047695068+00:00,14.305555555555555,14.305555555555555,1017.83,1.0,3.22,overcast,rain,test_sarima_hourly +2023-01-11 16:58:35.961695068+00:00,14.855555555555558,14.855555555555558,1018.05,0.96,2.7692,overcast,rain,test_sarima_hourly +2023-01-11 17:58:29.675695068+00:00,14.883333333333333,14.883333333333333,1018.23,0.93,0.0,overcast,rain,test_sarima_hourly +2023-01-11 18:58:33.441695068+00:00,14.883333333333333,14.883333333333333,1018.41,1.0,3.1556,mostly cloudy,rain,test_sarima_hourly +2023-01-11 19:58:37.580695068+00:00,15.9,15.9,1018.6,0.94,0.966,mostly cloudy,rain,test_sarima_hourly +2023-01-11 20:58:33.674695068+00:00,16.08888888888889,16.08888888888889,1018.82,0.93,1.61,mostly cloudy,rain,test_sarima_hourly +2023-01-11 21:58:30.478695068+00:00,16.183333333333334,16.183333333333334,1018.86,0.93,7.824600000000001,mostly cloudy,rain,test_sarima_hourly +2023-01-11 22:58:28.733695068+00:00,18.89444444444445,18.89444444444445,1019.11,0.83,5.2969,mostly cloudy,rain,test_sarima_hourly +2023-01-11 23:58:34.088695068+00:00,21.06666666666667,21.06666666666667,1018.85,0.6,4.4919,mostly cloudy,rain,test_sarima_hourly +2023-01-12 00:58:34.131695068+00:00,22.68888888888889,22.68888888888889,1018.74,0.57,4.4275,mostly cloudy,rain,test_sarima_hourly +2023-01-12 01:58:31.652695068+00:00,22.444444444444446,22.444444444444446,1018.36,0.54,8.935500000000001,mostly cloudy,rain,test_sarima_hourly +2023-01-12 02:58:30.679695068+00:00,22.133333333333336,22.133333333333336,1017.95,0.59,15.6009,mostly cloudy,rain,test_sarima_hourly +2023-01-12 03:58:32.690695068+00:00,21.027777777777775,21.027777777777775,1018.04,0.59,4.379200000000001,mostly cloudy,rain,test_sarima_hourly +2023-01-12 04:58:28.228695068+00:00,18.255555555555556,18.255555555555556,1018.38,0.75,5.4096,mostly cloudy,rain,test_sarima_hourly +2023-01-12 05:58:33.280695068+00:00,17.38888888888889,17.38888888888889,1018.68,0.86,0.2254,mostly cloudy,rain,test_sarima_hourly +2023-01-12 06:58:32.337695068+00:00,16.227777777777778,16.227777777777778,1018.79,0.92,3.22,mostly cloudy,rain,test_sarima_hourly +2023-01-12 07:58:29.865695068+00:00,17.07222222222222,17.07222222222222,1019.2,0.88,10.2396,mostly cloudy,rain,test_sarima_hourly +2023-01-12 08:58:34.366695068+00:00,15.02777777777778,15.02777777777778,1020.12,0.92,7.711900000000001,overcast,rain,test_sarima_hourly +2023-01-12 09:58:34.674695068+00:00,15.511111111111113,15.511111111111113,1018.98,0.93,6.423900000000001,mostly cloudy,rain,test_sarima_hourly +2023-01-12 10:58:28.034695068+00:00,14.52777777777778,14.52777777777778,1019.23,0.96,3.7352,overcast,rain,test_sarima_hourly +2023-01-12 11:58:29.223695068+00:00,15.0,15.0,1019.6,0.95,3.1234,mostly cloudy,rain,test_sarima_hourly +2023-01-12 12:58:34.332695068+00:00,14.422222222222224,14.422222222222224,1019.53,0.96,3.0429,mostly cloudy,rain,test_sarima_hourly +2023-01-12 13:58:28.805695068+00:00,13.983333333333334,13.983333333333334,1019.52,0.96,6.44,mostly cloudy,rain,test_sarima_hourly +2023-01-12 14:58:27.958695068+00:00,13.88888888888889,13.88888888888889,1019.78,0.96,3.0751,overcast,rain,test_sarima_hourly +2023-01-12 15:58:33.448695068+00:00,13.866666666666667,13.866666666666667,1019.61,0.96,3.22,overcast,rain,test_sarima_hourly +2023-01-12 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16:58:29.773695068+00:00,12.044444444444444,12.044444444444444,1012.11,0.6,10.722600000000002,mostly cloudy,rain,test_sarima_hourly +2023-08-12 17:58:34.161695068+00:00,11.233333333333333,11.233333333333333,1011.68,0.65,15.2145,partly cloudy,rain,test_sarima_hourly +2023-08-12 18:58:30.860695068+00:00,12.272222222222224,12.272222222222224,1011.76,0.61,12.4453,partly cloudy,rain,test_sarima_hourly +2023-08-12 19:58:32.907695068+00:00,15.95,15.95,1011.88,0.49,16.4864,partly cloudy,rain,test_sarima_hourly +2023-08-12 20:58:37.272695068+00:00,18.81666666666667,18.81666666666667,1011.29,0.4,23.184,mostly cloudy,rain,test_sarima_hourly +2023-08-12 21:58:36.705695068+00:00,20.022222222222226,20.022222222222226,1011.18,0.37,26.2913,mostly cloudy,rain,test_sarima_hourly +2023-08-12 22:58:36.160695068+00:00,21.977777777777774,21.977777777777774,1011.2,0.34,26.5006,mostly cloudy,rain,test_sarima_hourly +2023-08-12 23:58:30.286695068+00:00,22.17777777777778,22.17777777777778,1010.59,0.33,31.185700000000004,breezy and mostly cloudy,rain,test_sarima_hourly +2023-08-13 00:58:35.270695068+00:00,22.11111111111111,22.11111111111111,1010.4,0.34,36.933400000000006,breezy and overcast,rain,test_sarima_hourly +2023-08-13 01:58:30.032695068+00:00,20.26111111111111,20.26111111111111,1010.46,0.37,36.772400000000005,breezy and overcast,rain,test_sarima_hourly +2023-08-13 02:58:32.440695068+00:00,19.95555555555556,19.95555555555556,1010.85,0.44,25.116,overcast,rain,test_sarima_hourly +2023-08-13 03:58:29.090695068+00:00,20.0,20.0,1010.46,0.4,31.3789,breezy and overcast,rain,test_sarima_hourly +2023-08-13 04:58:34.377695068+00:00,17.800000000000004,17.800000000000004,1010.54,0.48,32.3449,breezy and overcast,rain,test_sarima_hourly +2023-08-13 05:58:29.666695068+00:00,17.194444444444443,17.194444444444443,1010.44,0.49,19.964,overcast,rain,test_sarima_hourly +2023-08-13 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13:58:33.003695068+00:00,12.205555555555556,12.205555555555556,1010.07,0.94,13.7977,overcast,rain,test_sarima_hourly +2023-08-13 14:58:30.499695068+00:00,11.644444444444446,11.644444444444446,1010.25,0.96,14.0875,overcast,rain,test_sarima_hourly +2023-08-13 15:58:31.334695068+00:00,11.594444444444443,11.594444444444443,1010.57,0.96,16.744000000000003,overcast,rain,test_sarima_hourly +2023-08-13 16:58:36.066695068+00:00,11.433333333333332,11.433333333333332,1010.73,0.88,15.552600000000002,overcast,rain,test_sarima_hourly +2023-08-13 17:58:34.543695068+00:00,10.95,10.95,1011.3,0.8,14.0875,overcast,rain,test_sarima_hourly +2023-08-13 18:58:30.688695068+00:00,10.92777777777778,10.92777777777778,1012.3,0.77,12.6224,overcast,rain,test_sarima_hourly +2023-08-13 19:58:36.342695068+00:00,10.794444444444444,10.794444444444444,1013.17,0.79,15.166200000000002,overcast,rain,test_sarima_hourly +2023-08-13 20:58:29.571695068+00:00,9.97777777777778,8.22777777777778,1013.29,0.71,12.525800000000002,overcast,rain,test_sarima_hourly +2023-08-13 21:58:36.148695068+00:00,9.97777777777778,8.22777777777778,1014.28,0.71,12.525800000000002,overcast,rain,test_sarima_hourly +2023-08-13 22:58:28.746695068+00:00,11.038888888888888,11.038888888888888,1015.24,0.62,15.536500000000002,overcast,rain,test_sarima_hourly +2023-08-13 23:58:31.356695068+00:00,12.133333333333336,12.133333333333336,1015.74,0.57,9.66,overcast,rain,test_sarima_hourly +2023-08-14 00:58:34.717695068+00:00,12.105555555555554,12.105555555555554,1015.86,0.53,11.125100000000002,overcast,rain,test_sarima_hourly +2023-08-14 01:58:36.980695068+00:00,10.305555555555554,10.305555555555554,1016.46,0.64,13.9265,overcast,rain,test_sarima_hourly +2023-08-14 02:58:35.710695068+00:00,11.11111111111111,11.11111111111111,1016.55,0.54,1.932,overcast,rain,test_sarima_hourly +2023-08-14 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23:58:32.197695068+00:00,16.33888888888889,16.33888888888889,1021.93,0.91,11.0768,overcast,rain,test_sarima_hourly +2023-12-17 00:58:32.808695068+00:00,16.405555555555555,16.405555555555555,1022.11,0.91,11.2861,overcast,rain,test_sarima_hourly +2023-12-17 01:58:29.205695068+00:00,17.40555555555555,17.40555555555555,1021.97,0.9,10.3684,overcast,rain,test_sarima_hourly +2023-12-17 02:58:36.896695068+00:00,17.47222222222222,17.47222222222222,1021.81,0.91,12.4614,overcast,rain,test_sarima_hourly +2023-12-17 03:58:32.665695068+00:00,17.91111111111111,17.91111111111111,1021.62,0.88,11.109000000000002,overcast,rain,test_sarima_hourly +2023-12-17 04:58:30.529695068+00:00,17.572222222222223,17.572222222222223,1021.47,0.9,10.2235,overcast,rain,test_sarima_hourly +2023-12-17 05:58:36.625695068+00:00,17.83888888888889,17.83888888888889,1021.22,0.89,4.7334000000000005,overcast,rain,test_sarima_hourly +2023-12-17 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12:58:34.751695068+00:00,13.988888888888887,13.988888888888887,1011.1,0.85,6.44,partly cloudy,rain,test_sarima_hourly +2023-11-21 13:58:29.484695068+00:00,13.788888888888888,13.788888888888888,1010.72,0.83,3.0429,partly cloudy,rain,test_sarima_hourly +2023-11-21 14:58:28.096695068+00:00,12.249999999999998,12.249999999999998,1010.22,0.9,3.22,partly cloudy,rain,test_sarima_hourly +2023-11-21 15:58:29.089695068+00:00,12.2,12.2,1009.73,0.9,3.22,partly cloudy,rain,test_sarima_hourly +2023-11-21 16:58:31.210695068+00:00,13.02777777777778,13.02777777777778,1009.74,0.89,2.8819000000000004,mostly cloudy,rain,test_sarima_hourly +2023-11-21 17:58:31.806695068+00:00,14.822222222222225,14.822222222222225,1009.51,0.87,0.0,mostly cloudy,rain,test_sarima_hourly +2023-11-21 18:58:29.017695068+00:00,16.994444444444447,16.994444444444447,1009.22,0.82,3.22,mostly cloudy,rain,test_sarima_hourly +2023-11-21 19:58:34.781695068+00:00,17.788888888888884,17.788888888888884,1009.14,0.73,7.760200000000001,mostly cloudy,rain,test_sarima_hourly +2023-11-21 20:58:31.099695068+00:00,19.90555555555555,19.90555555555555,1008.63,0.63,3.22,mostly cloudy,rain,test_sarima_hourly +2023-11-21 21:58:31.784695068+00:00,21.2,21.2,1008.77,0.57,3.3166,mostly cloudy,rain,test_sarima_hourly +2023-11-21 22:58:29.040695068+00:00,22.466666666666665,22.466666666666665,1008.31,0.51,3.6547,mostly cloudy,rain,test_sarima_hourly +2023-11-21 23:58:32.489695068+00:00,22.783333333333335,22.783333333333335,1008.21,0.56,0.3703,mostly cloudy,rain,test_sarima_hourly +2023-11-22 00:58:37.364695068+00:00,22.62222222222222,22.62222222222222,1008.41,0.54,4.2826,overcast,rain,test_sarima_hourly +2023-11-22 01:58:33.170695068+00:00,21.51111111111111,21.51111111111111,1007.8,0.57,8.2593,overcast,rain,test_sarima_hourly +2023-11-22 02:58:35.132695068+00:00,18.772222222222226,18.772222222222226,1007.92,0.85,7.840700000000001,overcast,rain,test_sarima_hourly +2023-11-22 03:58:30.465695068+00:00,18.79444444444444,18.79444444444444,1007.74,0.85,11.382700000000002,overcast,rain,test_sarima_hourly +2023-11-22 04:58:28.458695068+00:00,18.127777777777776,18.127777777777776,1007.69,0.84,8.3237,overcast,rain,test_sarima_hourly +2023-11-22 05:58:28.332695068+00:00,17.77777777777778,17.77777777777778,1007.35,0.9,11.125100000000002,overcast,rain,test_sarima_hourly +2023-11-22 06:58:33.931695068+00:00,17.25,17.25,1008.77,0.93,9.2897,overcast,rain,test_sarima_hourly +2023-11-22 07:58:36.249695068+00:00,17.272222222222226,17.272222222222226,1008.52,0.93,5.1037,mostly cloudy,rain,test_sarima_hourly +2023-11-22 08:58:32.850695068+00:00,17.17222222222222,17.17222222222222,1008.63,0.93,3.3166,mostly cloudy,rain,test_sarima_hourly +2023-11-22 09:58:28.600695068+00:00,16.11111111111111,16.11111111111111,1009.38,0.97,6.488300000000001,mostly cloudy,rain,test_sarima_hourly +2023-11-22 10:58:30.719695068+00:00,16.61111111111111,16.61111111111111,1009.42,0.97,3.3166,mostly cloudy,rain,test_sarima_hourly +2023-11-22 11:58:28.159695068+00:00,15.050000000000002,15.050000000000002,1009.81,0.96,6.488300000000001,partly cloudy,rain,test_sarima_hourly +2023-11-22 12:58:31.851695068+00:00,14.52222222222222,14.52222222222222,1010.39,0.96,6.4722,partly cloudy,rain,test_sarima_hourly +2023-11-22 13:58:28.792695068+00:00,14.33888888888889,14.33888888888889,1010.54,0.96,5.3291,foggy,rain,test_sarima_hourly +2023-11-22 14:58:36.933695068+00:00,15.577777777777776,15.577777777777776,1010.69,0.96,10.996300000000002,foggy,rain,test_sarima_hourly +2023-11-22 15:58:31.541695068+00:00,15.555555555555555,15.555555555555555,1010.58,0.96,6.3434,foggy,rain,test_sarima_hourly +2023-11-22 16:58:36.788695068+00:00,15.63888888888889,15.63888888888889,1010.43,0.97,3.4454,foggy,rain,test_sarima_hourly +2023-11-22 17:58:34.607695068+00:00,16.08888888888889,16.08888888888889,1010.98,0.93,7.8085,mostly cloudy,rain,test_sarima_hourly +2023-11-22 18:58:37.477695068+00:00,16.16111111111111,16.16111111111111,1011.18,1.0,8.9838,overcast,rain,test_sarima_hourly +2023-11-22 19:58:29.081695068+00:00,17.305555555555557,17.305555555555557,1011.73,0.93,9.4507,mostly cloudy,rain,test_sarima_hourly +2023-11-22 20:58:33.415695068+00:00,17.82777777777778,17.82777777777778,1012.28,0.96,12.4131,mostly cloudy,rain,test_sarima_hourly +2023-11-22 21:58:35.340695068+00:00,19.977777777777774,19.977777777777774,1012.49,0.84,9.032100000000002,mostly cloudy,rain,test_sarima_hourly +2023-11-22 22:58:29.091695068+00:00,22.54444444444444,22.54444444444444,1012.25,0.71,2.7048,mostly cloudy,rain,test_sarima_hourly +2023-11-22 23:58:35.286695068+00:00,23.72222222222222,23.72222222222222,1012.02,0.59,4.717300000000001,mostly cloudy,rain,test_sarima_hourly +2023-11-23 00:58:28.968695068+00:00,23.67777777777778,23.67777777777778,1011.81,0.59,4.395300000000001,mostly cloudy,rain,test_sarima_hourly +2023-11-23 01:58:30.613695068+00:00,24.07222222222222,24.07222222222222,1011.59,0.56,7.1645,mostly cloudy,rain,test_sarima_hourly +2023-11-23 02:58:37.635695068+00:00,25.85555555555556,25.85555555555556,1011.31,0.48,4.6207,mostly cloudy,rain,test_sarima_hourly +2023-11-23 03:58:30.696695068+00:00,24.92777777777778,24.92777777777778,1010.91,0.5,4.250400000000001,mostly cloudy,rain,test_sarima_hourly +2023-11-23 04:58:28.003695068+00:00,26.266666666666666,26.266666666666666,1010.35,0.42,4.9910000000000005,mostly cloudy,rain,test_sarima_hourly +2023-11-23 05:58:28.377695068+00:00,26.06111111111111,26.06111111111111,1009.61,0.39,9.2575,partly cloudy,rain,test_sarima_hourly +2023-11-23 06:58:30.703695068+00:00,24.88333333333334,24.88333333333334,1009.32,0.54,9.1126,mostly cloudy,rain,test_sarima_hourly +2023-11-23 07:58:28.216695068+00:00,22.45555555555556,22.45555555555556,1009.49,0.61,8.8389,mostly cloudy,rain,test_sarima_hourly +2023-11-23 08:58:33.052695068+00:00,18.86111111111111,18.86111111111111,1009.7,0.78,8.05,partly cloudy,rain,test_sarima_hourly +2023-11-23 09:58:37.695695068+00:00,19.283333333333328,19.283333333333328,1009.82,0.71,10.8192,partly cloudy,rain,test_sarima_hourly +2023-11-23 10:58:36.259695068+00:00,18.67777777777778,18.67777777777778,1009.94,0.71,9.5795,partly cloudy,rain,test_sarima_hourly +2023-11-23 11:58:36.391695068+00:00,17.127777777777776,17.127777777777776,1010.11,0.73,6.262900000000001,partly cloudy,rain,test_sarima_hourly +2023-11-23 12:58:34.008695068+00:00,15.072222222222225,15.072222222222225,1010.01,0.87,6.295100000000001,partly cloudy,rain,test_sarima_hourly +2023-11-23 13:58:29.051695068+00:00,14.88888888888889,14.88888888888889,1009.79,0.89,3.1717,partly cloudy,rain,test_sarima_hourly +2023-11-23 14:58:27.992695068+00:00,14.538888888888891,14.538888888888891,1009.4,0.87,6.1502,partly cloudy,rain,test_sarima_hourly +2023-11-23 15:58:29.758695068+00:00,16.57777777777778,16.57777777777778,1008.93,0.76,10.8997,partly cloudy,rain,test_sarima_hourly +2023-11-23 16:58:33.984695068+00:00,14.86111111111111,14.86111111111111,1008.91,0.86,7.084000000000001,partly cloudy,rain,test_sarima_hourly +2023-11-23 17:58:37.811695068+00:00,18.66111111111111,18.66111111111111,1008.65,0.69,9.2575,partly cloudy,rain,test_sarima_hourly +2023-11-23 18:58:37.732695068+00:00,19.844444444444445,19.844444444444445,1008.58,0.69,2.254,mostly cloudy,rain,test_sarima_hourly +2023-11-23 19:58:29.801695068+00:00,21.761111111111113,21.761111111111113,1008.88,0.65,3.5903,mostly cloudy,rain,test_sarima_hourly +2023-11-23 20:58:34.853695068+00:00,22.56666666666667,22.56666666666667,1009.19,0.66,12.4614,partly cloudy,rain,test_sarima_hourly +2023-11-23 21:58:32.137695068+00:00,23.772222222222226,23.772222222222226,1009.47,0.58,14.49,mostly cloudy,rain,test_sarima_hourly +2023-11-23 22:58:36.395695068+00:00,26.12222222222222,26.12222222222222,1009.61,0.44,12.3004,partly cloudy,rain,test_sarima_hourly +2023-11-23 23:58:30.411695068+00:00,27.061111111111103,26.988888888888887,1009.16,0.42,12.9283,partly cloudy,rain,test_sarima_hourly +2023-11-24 00:58:32.568695068+00:00,27.522222222222226,27.516666666666666,1008.99,0.44,15.810200000000002,partly cloudy,rain,test_sarima_hourly +2023-11-24 01:58:30.647695068+00:00,29.516666666666666,29.14444444444444,1008.76,0.4,13.7011,partly cloudy,rain,test_sarima_hourly +2023-11-24 02:58:35.390695068+00:00,28.377777777777776,28.377777777777776,1008.86,0.45,21.8316,mostly cloudy,rain,test_sarima_hourly +2023-11-24 03:58:34.195695068+00:00,27.333333333333332,27.538888888888884,1009.16,0.47,20.3826,partly cloudy,rain,test_sarima_hourly +2023-11-24 04:58:36.603695068+00:00,27.188888888888886,27.199999999999996,1009.08,0.44,20.5114,partly cloudy,rain,test_sarima_hourly +2023-11-24 05:58:34.457695068+00:00,24.766666666666666,24.766666666666666,1009.01,0.55,17.146500000000003,partly cloudy,rain,test_sarima_hourly +2023-11-24 06:58:35.294695068+00:00,23.67777777777778,23.67777777777778,1009.07,0.55,19.9479,partly cloudy,rain,test_sarima_hourly +2023-11-24 07:58:37.859695068+00:00,22.350000000000005,22.350000000000005,1009.18,0.58,12.2038,partly cloudy,rain,test_sarima_hourly +2023-11-24 08:58:34.333695068+00:00,22.011111111111113,22.011111111111113,1009.18,0.65,9.3058,partly cloudy,rain,test_sarima_hourly +2023-11-24 09:58:35.955695068+00:00,21.43333333333333,21.43333333333333,1009.88,0.65,10.8997,mostly cloudy,rain,test_sarima_hourly +2023-11-24 10:58:35.387695068+00:00,19.994444444444444,19.994444444444444,1010.04,0.7,12.9605,mostly cloudy,rain,test_sarima_hourly +2023-10-28 11:58:30.346695068+00:00,17.47222222222222,17.47222222222222,1024.51,0.71,3.5259,partly cloudy,rain,test_sarima_hourly +2023-10-28 12:58:28.233695068+00:00,16.29444444444444,16.29444444444444,1024.62,0.8,6.488300000000001,partly cloudy,rain,test_sarima_hourly +2023-10-28 13:58:33.007695068+00:00,16.416666666666668,16.416666666666668,1024.66,0.75,10.2879,partly cloudy,rain,test_sarima_hourly +2023-10-28 14:58:34.069695068+00:00,15.605555555555558,15.605555555555558,1024.66,0.78,11.125100000000002,partly cloudy,rain,test_sarima_hourly +2023-10-28 15:58:32.244695068+00:00,15.56111111111111,15.56111111111111,1024.47,0.75,11.125100000000002,clear,rain,test_sarima_hourly +2023-10-28 16:58:34.109695068+00:00,14.161111111111111,14.161111111111111,1024.52,0.81,6.681500000000001,partly cloudy,rain,test_sarima_hourly +2023-10-28 17:58:28.355695068+00:00,17.044444444444444,17.044444444444444,1024.78,0.72,11.237800000000002,partly cloudy,rain,test_sarima_hourly +2023-10-28 18:58:35.946695068+00:00,18.827777777777776,18.827777777777776,1025.18,0.65,11.0285,partly cloudy,rain,test_sarima_hourly +2023-10-28 19:58:34.907695068+00:00,21.0,21.0,1025.35,0.59,12.1555,partly cloudy,rain,test_sarima_hourly +2023-10-28 20:58:36.065695068+00:00,22.85,22.85,1025.86,0.56,15.778000000000002,partly cloudy,rain,test_sarima_hourly +2023-10-28 21:58:34.549695068+00:00,23.56111111111111,23.56111111111111,1025.66,0.51,17.1787,partly cloudy,rain,test_sarima_hourly +2023-10-28 22:58:34.308695068+00:00,26.32222222222222,26.32222222222222,1025.79,0.41,19.3522,partly cloudy,rain,test_sarima_hourly +2023-10-28 23:58:27.944695068+00:00,27.28888888888889,27.005555555555556,1025.73,0.39,15.778000000000002,partly cloudy,rain,test_sarima_hourly +2023-10-29 00:58:32.185695068+00:00,27.31111111111111,26.700000000000003,1025.44,0.32,15.778000000000002,partly cloudy,rain,test_sarima_hourly +2023-10-29 01:58:35.518695068+00:00,28.08888888888889,27.23888888888889,1025.28,0.32,14.9247,partly cloudy,rain,test_sarima_hourly +2023-10-29 02:58:28.081695068+00:00,27.955555555555552,27.183333333333337,1025.03,0.32,14.2646,partly cloudy,rain,test_sarima_hourly +2023-10-29 03:58:28.069695068+00:00,29.00555555555555,28.211111111111112,1024.64,0.35,12.799500000000002,partly cloudy,rain,test_sarima_hourly +2023-10-29 04:58:37.773695068+00:00,29.11111111111111,28.022222222222226,1024.55,0.31,11.7852,partly cloudy,rain,test_sarima_hourly +2023-10-29 05:58:29.656695068+00:00,27.916666666666668,27.255555555555556,1024.35,0.34,12.380900000000002,partly cloudy,rain,test_sarima_hourly +2023-10-29 06:58:34.475695068+00:00,27.28888888888889,26.772222222222226,1024.43,0.34,12.4131,partly cloudy,rain,test_sarima_hourly +2023-10-29 07:58:28.054695068+00:00,24.61111111111111,24.61111111111111,1024.45,0.45,8.8872,partly cloudy,rain,test_sarima_hourly +2023-10-29 08:58:35.198695068+00:00,20.161111111111115,20.161111111111115,1024.75,0.71,9.2253,partly cloudy,rain,test_sarima_hourly +2023-10-29 09:58:30.035695068+00:00,19.450000000000003,19.450000000000003,1025.45,0.72,6.1502,partly cloudy,rain,test_sarima_hourly +2023-10-29 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15:58:28.253695068+00:00,18.79444444444444,18.79444444444444,1010.65,0.85,6.0375000000000005,overcast,rain,test_sarima_hourly +2023-10-10 16:58:33.945695068+00:00,17.349999999999998,17.349999999999998,1010.64,0.9,5.474,mostly cloudy,rain,test_sarima_hourly +2023-10-10 17:58:30.262695068+00:00,17.783333333333335,17.783333333333335,1010.22,0.96,3.2683,partly cloudy,rain,test_sarima_hourly +2023-10-10 18:58:37.342695068+00:00,21.0,21.0,1010.4,0.81,7.840700000000001,partly cloudy,rain,test_sarima_hourly +2023-10-10 19:58:34.110695068+00:00,23.68333333333333,23.68333333333333,1010.47,0.68,4.2182,partly cloudy,rain,test_sarima_hourly +2023-10-10 20:58:37.780695068+00:00,26.03888888888889,26.03888888888889,1010.7,0.58,9.6117,partly cloudy,rain,test_sarima_hourly +2023-10-10 21:58:34.836695068+00:00,26.15555555555555,26.15555555555555,1010.98,0.57,17.1948,partly cloudy,rain,test_sarima_hourly +2023-10-10 22:58:28.522695068+00:00,27.322222222222223,27.96666666666667,1011.1,0.53,12.3165,partly cloudy,rain,test_sarima_hourly +2023-10-10 23:58:31.146695068+00:00,28.86111111111111,29.333333333333332,1010.88,0.49,9.8532,partly cloudy,rain,test_sarima_hourly +2023-10-11 00:58:36.233695068+00:00,27.31111111111111,27.76111111111111,1010.87,0.51,14.5061,mostly cloudy,rain,test_sarima_hourly +2023-10-11 01:58:36.370695068+00:00,28.966666666666665,28.77777777777778,1010.35,0.42,22.4917,mostly cloudy,rain,test_sarima_hourly +2023-10-11 02:58:32.443695068+00:00,25.005555555555556,25.005555555555556,1009.74,0.68,21.3808,mostly cloudy,rain,test_sarima_hourly +2023-10-11 03:58:35.563695068+00:00,27.561111111111114,28.261111111111113,1009.43,0.54,16.905,mostly cloudy,rain,test_sarima_hourly +2023-10-11 04:58:30.768695068+00:00,27.938888888888897,27.972222222222214,1008.92,0.45,23.184,mostly cloudy,rain,test_sarima_hourly +2023-10-11 05:58:36.073695068+00:00,27.022222222222226,27.322222222222223,1009.13,0.48,15.8585,mostly cloudy,rain,test_sarima_hourly +2023-10-11 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13:58:28.208695068+00:00,19.377777777777776,19.377777777777776,1011.31,0.83,15.8907,partly cloudy,rain,test_sarima_hourly +2023-10-11 14:58:33.644695068+00:00,18.305555555555557,18.305555555555557,1011.33,0.84,14.4095,partly cloudy,rain,test_sarima_hourly +2023-10-11 15:58:32.642695068+00:00,18.23333333333333,18.23333333333333,1011.73,0.82,17.2753,mostly cloudy,rain,test_sarima_hourly +2023-10-11 16:58:36.342695068+00:00,17.66111111111111,17.66111111111111,1012.41,0.83,12.9122,overcast,rain,test_sarima_hourly +2023-10-11 17:58:30.587695068+00:00,17.77777777777778,17.77777777777778,1012.74,0.84,12.3648,overcast,rain,test_sarima_hourly +2023-10-11 18:58:31.696695068+00:00,18.83888888888889,18.83888888888889,1013.14,0.84,15.7297,mostly cloudy,rain,test_sarima_hourly +2023-10-11 19:58:30.854695068+00:00,19.67222222222222,19.67222222222222,1013.5,0.8,11.3988,mostly cloudy,rain,test_sarima_hourly +2023-10-11 20:58:31.175695068+00:00,20.0,20.0,1013.95,0.73,17.227,mostly cloudy,rain,test_sarima_hourly +2023-10-11 21:58:32.233695068+00:00,20.97222222222222,20.97222222222222,1014.47,0.69,16.9211,mostly cloudy,rain,test_sarima_hourly +2023-10-11 22:58:36.880695068+00:00,21.149999999999995,21.149999999999995,1014.74,0.68,19.2234,mostly cloudy,rain,test_sarima_hourly +2023-10-11 23:58:33.744695068+00:00,22.15,22.15,1014.86,0.68,15.536500000000002,mostly cloudy,rain,test_sarima_hourly +2023-10-12 00:58:29.262695068+00:00,22.71111111111111,22.71111111111111,1014.87,0.66,19.803,mostly cloudy,rain,test_sarima_hourly +2023-10-12 01:58:30.932695068+00:00,22.722222222222225,22.722222222222225,1014.7,0.61,14.586600000000002,mostly cloudy,rain,test_sarima_hourly +2023-10-12 02:58:30.161695068+00:00,22.266666666666666,22.266666666666666,1014.55,0.59,12.397,mostly cloudy,rain,test_sarima_hourly +2023-10-12 03:58:35.665695068+00:00,22.866666666666664,22.866666666666664,1014.25,0.57,13.4757,mostly cloudy,rain,test_sarima_hourly +2023-10-12 04:58:36.772695068+00:00,22.38888888888889,22.38888888888889,1014.08,0.55,12.88,partly cloudy,rain,test_sarima_hourly +2023-10-12 05:58:33.436695068+00:00,22.75555555555555,22.75555555555555,1013.72,0.53,13.4757,partly cloudy,rain,test_sarima_hourly +2023-10-12 06:58:31.487695068+00:00,22.194444444444443,22.194444444444443,1013.73,0.55,9.4829,partly cloudy,rain,test_sarima_hourly +2023-10-12 07:58:36.556695068+00:00,21.18333333333333,21.18333333333333,1014.04,0.54,12.6707,mostly cloudy,rain,test_sarima_hourly +2023-10-12 08:58:35.651695068+00:00,19.95,19.95,1014.71,0.58,12.3648,mostly cloudy,rain,test_sarima_hourly +2023-10-12 09:58:36.635695068+00:00,19.444444444444443,19.444444444444443,1015.21,0.62,10.6421,mostly cloudy,rain,test_sarima_hourly +2023-10-12 10:58:36.446695068+00:00,18.333333333333332,18.333333333333332,1015.38,0.66,12.7029,mostly cloudy,rain,test_sarima_hourly +2023-10-12 11:58:29.256695068+00:00,17.82222222222222,17.82222222222222,1015.53,0.66,13.4113,mostly cloudy,rain,test_sarima_hourly +2023-10-12 12:58:35.285695068+00:00,17.800000000000004,17.800000000000004,1015.63,0.63,6.423900000000001,mostly cloudy,rain,test_sarima_hourly +2023-10-12 13:58:36.202695068+00:00,17.17222222222222,17.17222222222222,1015.42,0.68,6.166300000000001,mostly cloudy,rain,test_sarima_hourly +2023-10-12 14:58:28.574695068+00:00,17.15,17.15,1015.45,0.66,10.8031,mostly cloudy,rain,test_sarima_hourly +2023-10-12 15:58:34.805695068+00:00,17.105555555555554,17.105555555555554,1015.37,0.62,10.7387,mostly cloudy,rain,test_sarima_hourly +2023-10-12 16:58:28.547695068+00:00,16.522222222222226,16.522222222222226,1015.49,0.62,12.3004,mostly cloudy,rain,test_sarima_hourly +2023-10-12 17:58:37.355695068+00:00,16.06111111111111,16.06111111111111,1015.65,0.59,16.840600000000002,mostly cloudy,rain,test_sarima_hourly +2023-10-12 18:58:34.197695068+00:00,16.06111111111111,16.06111111111111,1015.86,0.62,14.007,mostly cloudy,rain,test_sarima_hourly +2023-10-12 19:58:37.777695068+00:00,17.12222222222222,17.12222222222222,1015.75,0.58,16.5508,mostly cloudy,rain,test_sarima_hourly +2023-10-12 20:58:28.798695068+00:00,17.17222222222222,17.17222222222222,1015.8,0.58,21.3808,mostly cloudy,rain,test_sarima_hourly +2023-10-12 21:58:31.731695068+00:00,17.77777777777778,17.77777777777778,1015.9,0.6,15.9712,mostly cloudy,rain,test_sarima_hourly +2023-10-12 22:58:32.513695068+00:00,18.972222222222225,18.972222222222225,1016.07,0.51,15.922900000000002,mostly cloudy,rain,test_sarima_hourly +2023-10-12 23:58:33.694695068+00:00,19.88333333333334,19.88333333333334,1015.9,0.49,21.815500000000004,mostly cloudy,rain,test_sarima_hourly +2023-10-13 00:58:29.311695068+00:00,18.81666666666667,18.81666666666667,1016.18,0.52,17.3075,mostly cloudy,rain,test_sarima_hourly +2023-10-13 01:58:35.770695068+00:00,18.950000000000003,18.950000000000003,1016.09,0.48,21.252,overcast,rain,test_sarima_hourly +2023-10-13 02:58:33.213695068+00:00,17.77777777777778,17.77777777777778,1016.09,0.56,23.345,mostly cloudy,rain,test_sarima_hourly +2023-10-13 03:58:31.538695068+00:00,18.81666666666667,18.81666666666667,1015.87,0.49,24.5525,mostly cloudy,rain,test_sarima_hourly +2023-10-13 04:58:28.624695068+00:00,19.916666666666664,19.916666666666664,1015.2,0.51,20.7046,mostly cloudy,rain,test_sarima_hourly +2023-10-13 05:58:37.384695068+00:00,18.82222222222222,18.82222222222222,1014.99,0.52,23.184,mostly cloudy,rain,test_sarima_hourly +2023-10-13 06:58:33.224695068+00:00,17.711111111111112,17.711111111111112,1014.9,0.6,23.1196,mostly cloudy,rain,test_sarima_hourly +2023-10-13 07:58:29.136695068+00:00,17.283333333333335,17.283333333333335,1015.02,0.61,14.329,mostly cloudy,rain,test_sarima_hourly +2023-10-13 08:58:28.204695068+00:00,15.072222222222225,15.072222222222225,1015.28,0.72,12.3648,mostly cloudy,rain,test_sarima_hourly +2023-10-13 09:58:30.087695068+00:00,14.561111111111112,14.561111111111112,1015.41,0.74,14.023100000000005,partly cloudy,rain,test_sarima_hourly +2023-10-13 10:58:29.889695068+00:00,14.511111111111113,14.511111111111113,1015.48,0.67,15.665300000000002,partly cloudy,rain,test_sarima_hourly +2023-10-13 11:58:30.979695068+00:00,13.883333333333336,13.883333333333336,1015.45,0.69,14.1519,partly cloudy,rain,test_sarima_hourly +2023-10-13 12:58:33.336695068+00:00,12.31111111111111,12.31111111111111,1015.49,0.79,11.2056,partly cloudy,rain,test_sarima_hourly +2023-10-13 13:58:33.815695068+00:00,11.949999999999998,11.949999999999998,1015.39,0.81,11.1573,partly cloudy,rain,test_sarima_hourly +2023-10-13 14:58:36.053695068+00:00,11.105555555555558,11.105555555555558,1014.99,0.83,11.0446,partly cloudy,rain,test_sarima_hourly +2023-10-13 15:58:33.679695068+00:00,10.52777777777778,10.52777777777778,1014.88,0.86,10.948,partly cloudy,rain,test_sarima_hourly +2023-10-13 16:58:29.562695068+00:00,10.255555555555556,10.255555555555556,1014.9,0.86,10.8192,partly cloudy,rain,test_sarima_hourly +2023-10-13 17:58:33.124695068+00:00,12.17777777777778,12.17777777777778,1015.65,0.8,10.9319,partly cloudy,rain,test_sarima_hourly +2023-10-13 18:58:32.434695068+00:00,14.938888888888888,14.938888888888888,1014.3,0.67,15.3433,partly cloudy,rain,test_sarima_hourly +2023-10-13 19:58:34.933695068+00:00,17.133333333333336,17.133333333333336,1014.29,0.58,20.4309,partly cloudy,rain,test_sarima_hourly +2023-10-13 20:58:33.945695068+00:00,18.86666666666666,18.86666666666666,1014.08,0.56,17.1787,partly cloudy,rain,test_sarima_hourly +2023-10-13 21:58:29.793695068+00:00,20.022222222222226,20.022222222222226,1013.88,0.56,14.1841,partly cloudy,rain,test_sarima_hourly +2023-10-13 22:58:30.705695068+00:00,21.272222222222226,21.272222222222226,1013.67,0.45,19.7708,partly cloudy,rain,test_sarima_hourly +2023-10-13 23:58:34.237695068+00:00,22.24444444444445,22.24444444444445,1013.35,0.45,20.3665,partly cloudy,rain,test_sarima_hourly +2023-10-14 00:58:30.387695068+00:00,22.800000000000004,22.800000000000004,1013.06,0.43,15.697500000000002,partly cloudy,rain,test_sarima_hourly +2023-10-14 01:58:32.738695068+00:00,22.90555555555556,22.90555555555556,1012.68,0.42,15.1984,partly cloudy,rain,test_sarima_hourly +2023-10-14 02:58:31.369695068+00:00,22.31111111111111,22.31111111111111,1012.24,0.39,14.023100000000005,partly cloudy,rain,test_sarima_hourly +2023-10-14 03:58:28.165695068+00:00,23.84444444444445,23.84444444444445,1011.95,0.38,14.49,mostly cloudy,rain,test_sarima_hourly +2023-10-14 04:58:36.897695068+00:00,23.077777777777783,23.077777777777783,1011.39,0.36,11.27,partly cloudy,rain,test_sarima_hourly +2023-10-14 05:58:33.723695068+00:00,22.800000000000004,22.800000000000004,1010.96,0.38,11.3505,mostly cloudy,rain,test_sarima_hourly +2023-10-14 06:58:30.722695068+00:00,22.199999999999996,22.199999999999996,1010.86,0.39,14.1519,partly cloudy,rain,test_sarima_hourly +2023-10-14 07:58:30.599695068+00:00,19.422222222222217,19.422222222222217,1010.99,0.49,9.9498,partly cloudy,rain,test_sarima_hourly +2023-10-14 08:58:35.333695068+00:00,15.18333333333333,15.18333333333333,1011.35,0.71,11.27,partly cloudy,rain,test_sarima_hourly +2023-10-14 09:58:35.861695068+00:00,15.444444444444445,15.444444444444445,1011.76,0.67,11.125100000000002,partly cloudy,rain,test_sarima_hourly +2023-10-14 10:58:34.320695068+00:00,14.21111111111111,14.21111111111111,1011.92,0.67,10.2074,partly cloudy,rain,test_sarima_hourly +2023-10-14 11:58:29.633695068+00:00,12.344444444444443,12.344444444444443,1011.83,0.77,6.295100000000001,partly cloudy,rain,test_sarima_hourly +2023-10-14 12:58:31.889695068+00:00,11.81111111111111,11.81111111111111,1011.72,0.77,6.295100000000001,partly cloudy,rain,test_sarima_hourly +2023-10-14 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23:58:36.213695068+00:00,15.97222222222222,15.97222222222222,1015.65,0.87,3.3649,overcast,rain,test_sarima_hourly +2024-01-22 00:58:34.938695068+00:00,15.994444444444444,15.994444444444444,1015.65,0.88,4.8461,overcast,rain,test_sarima_hourly +2024-01-22 01:58:28.336695068+00:00,17.33888888888889,17.33888888888889,1015.69,0.81,4.2343,overcast,rain,test_sarima_hourly +2024-01-22 02:58:33.230695068+00:00,17.016666666666666,17.016666666666666,1015.58,0.82,4.6046000000000005,mostly cloudy,rain,test_sarima_hourly +2024-01-22 03:58:31.320695068+00:00,15.994444444444444,15.994444444444444,1015.88,0.87,6.9874,overcast,rain,test_sarima_hourly +2024-01-22 04:58:31.506695068+00:00,15.988888888888887,15.988888888888887,1016.32,0.89,2.0286,mostly cloudy,rain,test_sarima_hourly +2024-01-22 05:58:34.988695068+00:00,15.95,15.95,1016.78,0.87,3.4776,overcast,rain,test_sarima_hourly +2024-01-22 06:58:37.392695068+00:00,14.86111111111111,14.86111111111111,1017.47,0.93,14.3451,overcast,rain,test_sarima_hourly +2024-01-22 07:58:37.687695068+00:00,14.97777777777778,14.97777777777778,1018.0,0.94,8.4364,overcast,rain,test_sarima_hourly +2024-01-22 08:58:37.687695068+00:00,14.905555555555551,14.905555555555551,1018.66,0.93,12.2843,overcast,rain,test_sarima_hourly +2024-01-22 09:58:31.931695068+00:00,14.883333333333333,14.883333333333333,1018.88,0.91,13.6689,overcast,rain,test_sarima_hourly +2024-01-22 10:58:29.133695068+00:00,14.355555555555558,14.355555555555558,1019.26,0.89,12.3004,overcast,rain,test_sarima_hourly +2024-01-22 11:58:35.065695068+00:00,14.327777777777776,14.327777777777776,1019.46,0.88,14.1036,overcast,rain,test_sarima_hourly +2024-01-22 12:58:36.257695068+00:00,14.327777777777776,14.327777777777776,1019.56,0.88,13.6528,mostly cloudy,rain,test_sarima_hourly +2024-01-22 13:58:34.840695068+00:00,14.266666666666667,14.266666666666667,1019.83,0.89,6.4561,mostly 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21:58:36.910695068+00:00,15.955555555555556,15.955555555555556,1021.99,0.69,26.9997,mostly cloudy,rain,test_sarima_hourly +2024-01-22 22:58:33.145695068+00:00,16.06666666666667,16.06666666666667,1021.91,0.72,24.5525,mostly cloudy,rain,test_sarima_hourly +2024-01-22 23:58:30.094695068+00:00,17.17777777777778,17.17777777777778,1022.0,0.64,24.9389,mostly cloudy,rain,test_sarima_hourly +2024-01-23 00:58:34.642695068+00:00,17.711111111111112,17.711111111111112,1022.1,0.61,27.8691,mostly cloudy,rain,test_sarima_hourly +2024-01-23 01:58:34.814695068+00:00,17.655555555555555,17.655555555555555,1021.99,0.6,27.128500000000003,mostly cloudy,rain,test_sarima_hourly +2024-01-23 02:58:37.049695068+00:00,17.711111111111112,17.711111111111112,1022.1,0.56,27.9335,mostly cloudy,rain,test_sarima_hourly +2024-01-23 03:58:28.202695068+00:00,17.17777777777778,17.17777777777778,1022.4,0.63,24.488100000000003,overcast,rain,test_sarima_hourly +2024-01-23 04:58:29.716695068+00:00,17.044444444444444,17.044444444444444,1022.58,0.59,21.992600000000003,mostly cloudy,rain,test_sarima_hourly +2024-01-23 05:58:29.710695068+00:00,16.016666666666666,16.016666666666666,1022.91,0.59,21.3486,overcast,rain,test_sarima_hourly +2024-01-23 06:58:29.063695068+00:00,14.97777777777778,14.97777777777778,1023.31,0.63,19.8996,overcast,rain,test_sarima_hourly +2024-01-23 07:58:28.479695068+00:00,14.949999999999998,14.949999999999998,1023.75,0.61,23.5221,overcast,rain,test_sarima_hourly +2024-01-23 08:58:36.984695068+00:00,13.88888888888889,13.88888888888889,1024.11,0.65,21.5096,overcast,rain,test_sarima_hourly +2024-01-23 09:58:37.828695068+00:00,14.349999999999998,14.349999999999998,1024.22,0.61,19.7708,overcast,rain,test_sarima_hourly +2024-01-23 10:58:37.866695068+00:00,13.816666666666666,13.816666666666666,1024.21,0.63,16.2127,overcast,rain,test_sarima_hourly +2024-01-23 11:58:33.116695068+00:00,13.816666666666666,13.816666666666666,1024.13,0.62,19.931800000000003,overcast,rain,test_sarima_hourly +2024-01-23 12:58:35.208695068+00:00,13.311111111111112,13.311111111111112,1024.13,0.66,16.9694,overcast,rain,test_sarima_hourly +2024-01-23 13:58:33.995695068+00:00,13.294444444444444,13.294444444444444,1024.24,0.68,18.8531,overcast,rain,test_sarima_hourly +2024-01-23 14:58:36.323695068+00:00,13.28888888888889,13.28888888888889,1024.23,0.69,19.7869,overcast,rain,test_sarima_hourly +2024-01-23 15:58:29.038695068+00:00,13.266666666666667,13.266666666666667,1024.14,0.67,16.9533,overcast,rain,test_sarima_hourly +2024-01-23 16:58:33.248695068+00:00,12.744444444444444,12.744444444444444,1024.24,0.67,18.7887,overcast,rain,test_sarima_hourly +2024-01-23 17:58:37.123695068+00:00,12.733333333333334,12.733333333333334,1024.53,0.69,20.0445,overcast,rain,test_sarima_hourly +2024-01-23 18:58:37.305695068+00:00,12.711111111111112,12.711111111111112,1024.74,0.69,15.617,overcast,rain,test_sarima_hourly +2024-01-23 19:58:32.265695068+00:00,12.17777777777778,12.17777777777778,1024.9,0.74,16.6796,overcast,rain,test_sarima_hourly +2024-01-23 20:58:32.081695068+00:00,12.266666666666666,12.266666666666666,1025.02,0.73,23.2967,overcast,rain,test_sarima_hourly +2024-01-23 21:58:31.223695068+00:00,12.33888888888889,12.33888888888889,1025.31,0.79,23.4899,overcast,rain,test_sarima_hourly +2024-01-23 22:58:36.514695068+00:00,12.761111111111113,12.761111111111113,1025.31,0.72,25.051600000000004,overcast,rain,test_sarima_hourly +2024-01-23 23:58:28.602695068+00:00,12.894444444444446,12.894444444444446,1025.52,0.76,25.035500000000003,overcast,rain,test_sarima_hourly +2024-01-24 00:58:30.681695068+00:00,12.405555555555557,12.405555555555557,1025.71,0.79,32.3932,breezy and overcast,rain,test_sarima_hourly +2024-01-24 01:58:37.355695068+00:00,11.505555555555556,11.505555555555556,1025.63,0.9,22.475600000000004,overcast,rain,test_sarima_hourly +2024-01-24 02:58:37.852695068+00:00,12.333333333333336,12.333333333333336,1025.51,0.85,21.847700000000003,overcast,rain,test_sarima_hourly +2024-01-24 03:58:29.155695068+00:00,12.316666666666668,12.316666666666668,1025.31,0.85,20.5919,overcast,rain,test_sarima_hourly +2024-01-24 04:58:29.795695068+00:00,11.400000000000002,11.400000000000002,1025.12,0.92,22.4273,overcast,rain,test_sarima_hourly +2024-01-24 05:58:30.131695068+00:00,11.25,11.25,1025.33,0.91,23.312800000000003,overcast,rain,test_sarima_hourly +2024-01-24 06:58:36.527695068+00:00,12.755555555555556,12.755555555555556,1025.54,0.77,25.0194,overcast,rain,test_sarima_hourly +2024-01-24 07:58:30.749695068+00:00,12.550000000000002,12.550000000000002,1025.78,0.75,19.32,overcast,rain,test_sarima_hourly +2024-01-24 08:58:33.435695068+00:00,12.733333333333334,12.733333333333334,1025.76,0.72,23.312800000000003,overcast,rain,test_sarima_hourly +2024-01-24 09:58:30.654695068+00:00,12.22222222222222,12.22222222222222,1025.84,0.76,20.4792,overcast,rain,test_sarima_hourly +2024-01-24 10:58:34.177695068+00:00,11.244444444444447,11.244444444444447,1025.87,0.83,23.457700000000003,overcast,rain,test_sarima_hourly +2024-01-24 11:58:30.169695068+00:00,11.205555555555556,11.205555555555556,1025.92,0.82,20.608000000000004,overcast,rain,test_sarima_hourly +2024-01-24 12:58:37.364695068+00:00,11.183333333333334,11.183333333333334,1025.73,0.82,24.890600000000003,overcast,rain,test_sarima_hourly +2024-01-24 13:58:28.726695068+00:00,10.72222222222222,10.72222222222222,1025.78,0.86,19.32,overcast,rain,test_sarima_hourly +2024-01-24 14:58:37.549695068+00:00,10.65,10.65,1025.8,0.88,20.2377,overcast,rain,test_sarima_hourly +2024-01-24 15:58:30.098695068+00:00,10.116666666666667,10.116666666666667,1025.6,0.92,20.0928,overcast,rain,test_sarima_hourly +2024-01-24 16:58:36.410695068+00:00,10.2,10.2,1025.65,0.92,19.126800000000003,overcast,rain,test_sarima_hourly +2024-01-24 17:58:32.027695068+00:00,10.13888888888889,10.13888888888889,1025.69,0.92,22.024800000000003,overcast,rain,test_sarima_hourly +2024-01-24 18:58:35.626695068+00:00,10.116666666666667,10.116666666666667,1025.99,0.92,17.5329,overcast,rain,test_sarima_hourly +2024-01-24 19:58:29.934695068+00:00,10.144444444444442,10.144444444444442,1026.23,0.93,16.9533,overcast,rain,test_sarima_hourly +2024-01-24 20:58:36.890695068+00:00,10.094444444444443,10.094444444444443,1026.79,0.92,23.4899,overcast,rain,test_sarima_hourly +2024-01-24 21:58:35.919695068+00:00,11.161111111111111,11.161111111111111,1026.99,0.92,21.960400000000003,overcast,rain,test_sarima_hourly +2024-01-24 22:58:34.245695068+00:00,12.1,12.1,1027.12,0.87,16.840600000000002,overcast,rain,test_sarima_hourly +2024-01-24 23:58:33.239695068+00:00,12.85,12.85,1027.1,0.82,25.035500000000003,overcast,rain,test_sarima_hourly +2024-01-25 00:58:35.746695068+00:00,13.93888888888889,13.93888888888889,1027.1,0.82,21.815500000000004,mostly cloudy,rain,test_sarima_hourly +2024-01-25 01:58:33.840695068+00:00,13.861111111111112,13.861111111111112,1026.97,0.78,21.6062,overcast,rain,test_sarima_hourly +2024-01-25 02:58:30.715695068+00:00,12.966666666666669,12.966666666666669,1027.36,0.81,17.3397,overcast,rain,test_sarima_hourly +2024-01-25 03:58:34.442695068+00:00,12.944444444444445,12.944444444444445,1027.64,0.82,15.520400000000002,overcast,rain,test_sarima_hourly +2024-01-25 04:58:37.813695068+00:00,12.877777777777778,12.877777777777778,1027.43,0.83,11.4471,mostly cloudy,rain,test_sarima_hourly +2024-01-25 05:58:34.052695068+00:00,12.872222222222224,12.872222222222224,1027.48,0.82,9.7566,mostly 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16:58:35.606695068+00:00,8.800000000000002,6.555555555555554,1012.27,0.77,14.1841,clear,rain,test_sarima_hourly +2024-08-10 17:58:31.532695068+00:00,7.1333333333333355,4.4722222222222205,1012.67,0.86,14.457800000000002,partly cloudy,rain,test_sarima_hourly +2024-08-10 18:58:33.317695068+00:00,8.68888888888889,6.338888888888887,1013.92,0.83,14.7959,partly cloudy,rain,test_sarima_hourly +2024-08-10 19:58:34.127695068+00:00,11.005555555555556,11.005555555555556,1014.21,0.72,16.3898,partly cloudy,rain,test_sarima_hourly +2024-08-10 20:58:28.913695068+00:00,12.8,12.8,1014.42,0.69,20.1733,partly cloudy,rain,test_sarima_hourly +2024-08-10 21:58:35.812695068+00:00,14.949999999999998,14.949999999999998,1014.61,0.55,20.0606,partly cloudy,rain,test_sarima_hourly +2024-08-10 22:58:28.854695068+00:00,16.966666666666665,16.966666666666665,1014.8,0.42,19.271700000000003,partly cloudy,rain,test_sarima_hourly +2024-08-10 23:58:34.994695068+00:00,17.288888888888888,17.288888888888888,1014.97,0.41,17.243100000000002,partly cloudy,rain,test_sarima_hourly +2024-08-11 00:58:37.173695068+00:00,17.84444444444445,17.84444444444445,1014.37,0.37,21.847700000000003,partly cloudy,rain,test_sarima_hourly +2024-08-11 01:58:35.254695068+00:00,18.811111111111114,18.811111111111114,1013.55,0.37,14.860300000000002,mostly cloudy,rain,test_sarima_hourly +2024-08-11 02:58:31.864695068+00:00,20.016666666666666,20.016666666666666,1012.86,0.39,14.6832,mostly cloudy,rain,test_sarima_hourly +2024-08-11 03:58:36.028695068+00:00,20.022222222222226,20.022222222222226,1012.36,0.37,17.1787,partly cloudy,rain,test_sarima_hourly +2024-08-11 04:58:37.442695068+00:00,19.866666666666667,19.866666666666667,1012.18,0.37,16.8728,mostly cloudy,rain,test_sarima_hourly +2024-08-11 05:58:31.949695068+00:00,18.95555555555556,18.95555555555556,1011.84,0.43,17.114300000000004,mostly cloudy,rain,test_sarima_hourly +2024-08-11 06:58:34.296695068+00:00,17.288888888888888,17.288888888888888,1011.74,0.51,15.536500000000002,partly cloudy,rain,test_sarima_hourly +2024-08-11 07:58:31.295695068+00:00,14.349999999999998,14.349999999999998,1012.27,0.61,14.0392,partly cloudy,rain,test_sarima_hourly +2024-08-11 08:58:30.546695068+00:00,13.916666666666664,13.916666666666664,1012.15,0.64,14.023100000000005,partly cloudy,rain,test_sarima_hourly +2024-08-11 09:58:27.974695068+00:00,13.355555555555554,13.355555555555554,1012.55,0.64,14.023100000000005,partly cloudy,rain,test_sarima_hourly +2024-08-11 10:58:29.554695068+00:00,11.805555555555555,11.805555555555555,1012.79,0.68,13.2664,partly cloudy,rain,test_sarima_hourly +2024-08-11 11:58:37.289695068+00:00,11.583333333333334,11.583333333333334,1012.86,0.67,16.7762,partly cloudy,rain,test_sarima_hourly +2024-08-11 12:58:32.327695068+00:00,10.516666666666667,10.516666666666667,1012.85,0.71,10.787,partly cloudy,rain,test_sarima_hourly +2024-08-11 13:58:30.248695068+00:00,9.52777777777778,7.699999999999999,1012.72,0.78,12.380900000000002,partly cloudy,rain,test_sarima_hourly +2024-08-11 14:58:30.664695068+00:00,7.827777777777779,5.8833333333333355,1013.04,0.79,10.948,partly cloudy,rain,test_sarima_hourly +2024-08-11 15:58:27.983695068+00:00,7.783333333333331,5.799999999999999,1013.03,0.83,11.0768,partly cloudy,rain,test_sarima_hourly +2024-08-11 16:58:34.968695068+00:00,7.472222222222224,5.633333333333334,1012.93,0.87,9.982,partly cloudy,rain,test_sarima_hourly +2024-08-11 17:58:28.345695068+00:00,7.155555555555556,5.094444444444445,1012.57,0.86,10.8031,partly cloudy,rain,test_sarima_hourly +2024-08-11 18:58:33.016695068+00:00,9.922222222222222,8.605555555555558,1013.05,0.77,9.66,partly cloudy,rain,test_sarima_hourly +2024-08-11 19:58:33.729695068+00:00,13.677777777777775,13.677777777777775,1013.31,0.68,13.1698,partly cloudy,rain,test_sarima_hourly +2024-08-11 20:58:37.620695068+00:00,17.783333333333335,17.783333333333335,1013.43,0.55,15.7458,partly cloudy,rain,test_sarima_hourly +2024-08-11 21:58:30.653695068+00:00,21.016666666666666,21.016666666666666,1013.21,0.41,21.9282,partly cloudy,rain,test_sarima_hourly +2024-08-11 22:58:30.398695068+00:00,22.494444444444444,22.494444444444444,1012.87,0.3,31.910200000000003,breezy and partly cloudy,rain,test_sarima_hourly +2024-08-11 23:58:28.354695068+00:00,23.79444444444444,23.79444444444444,1012.13,0.27,33.0855,breezy and partly cloudy,rain,test_sarima_hourly +2024-08-12 00:58:33.623695068+00:00,23.88888888888889,23.88888888888889,1011.54,0.24,32.844,breezy and partly cloudy,rain,test_sarima_hourly +2024-08-12 01:58:33.790695068+00:00,24.983333333333334,24.983333333333334,1011.08,0.25,31.395000000000003,partly cloudy,rain,test_sarima_hourly +2024-08-12 02:58:37.283695068+00:00,25.0,25.0,1010.22,0.26,31.395000000000003,partly cloudy,rain,test_sarima_hourly +2024-08-12 03:58:32.862695068+00:00,26.06111111111111,26.06111111111111,1009.25,0.24,28.2394,partly cloudy,rain,test_sarima_hourly +2024-08-12 04:58:32.806695068+00:00,25.92222222222222,25.92222222222222,1009.27,0.24,32.8118,breezy and partly cloudy,rain,test_sarima_hourly +2024-08-12 05:58:31.906695068+00:00,24.97222222222222,24.97222222222222,1008.86,0.28,23.6992,partly cloudy,rain,test_sarima_hourly +2024-08-12 06:58:30.456695068+00:00,22.82222222222222,22.82222222222222,1008.88,0.34,17.146500000000003,partly cloudy,rain,test_sarima_hourly +2024-08-12 07:58:29.635695068+00:00,19.372222222222224,19.372222222222224,1009.72,0.44,13.2825,partly cloudy,rain,test_sarima_hourly +2024-08-12 08:58:33.250695068+00:00,17.89444444444444,17.89444444444444,1010.5,0.49,9.2575,partly cloudy,rain,test_sarima_hourly +2024-08-12 09:58:37.160695068+00:00,15.694444444444445,15.694444444444445,1011.09,0.57,10.6421,partly cloudy,rain,test_sarima_hourly +2024-08-12 10:58:27.978695068+00:00,15.394444444444446,15.394444444444446,1011.64,0.58,6.7137,clear,rain,test_sarima_hourly +2024-08-12 11:58:31.831695068+00:00,14.138888888888893,14.138888888888893,1011.95,0.61,11.2056,partly cloudy,rain,test_sarima_hourly +2024-08-12 12:58:30.651695068+00:00,14.122222222222224,14.122222222222224,1012.34,0.58,13.894300000000005,mostly cloudy,rain,test_sarima_hourly +2024-08-12 13:58:29.761695068+00:00,13.18888888888889,13.18888888888889,1012.57,0.62,9.9659,partly cloudy,rain,test_sarima_hourly +2024-08-12 14:58:36.601695068+00:00,11.71111111111111,11.71111111111111,1012.34,0.65,13.8138,partly cloudy,rain,test_sarima_hourly +2024-08-12 15:58:34.060695068+00:00,11.6,11.6,1012.42,0.66,10.8997,partly cloudy,rain,test_sarima_hourly +2024-08-12 16:58:28.591695068+00:00,10.63888888888889,10.63888888888889,1012.24,0.71,13.8299,partly cloudy,rain,test_sarima_hourly +2024-08-12 17:58:29.586695068+00:00,10.050000000000002,10.050000000000002,1012.05,0.76,10.9158,mostly cloudy,rain,test_sarima_hourly +2024-08-12 18:58:31.225695068+00:00,12.755555555555556,12.755555555555556,1011.94,0.69,9.5312,mostly cloudy,rain,test_sarima_hourly +2024-08-12 19:58:30.619695068+00:00,15.011111111111113,15.011111111111113,1011.97,0.59,10.9319,overcast,rain,test_sarima_hourly +2024-08-12 20:58:31.089695068+00:00,17.16111111111111,17.16111111111111,1011.73,0.52,16.8728,overcast,rain,test_sarima_hourly +2024-08-12 21:58:37.374695068+00:00,18.950000000000003,18.950000000000003,1011.36,0.47,14.1519,overcast,rain,test_sarima_hourly +2024-08-12 22:58:30.152695068+00:00,21.13333333333334,21.13333333333334,1011.68,0.42,19.6903,overcast,rain,test_sarima_hourly +2024-08-12 23:58:34.666695068+00:00,22.733333333333334,22.733333333333334,1011.75,0.43,14.586600000000002,overcast,rain,test_sarima_hourly +2024-08-13 00:58:28.995695068+00:00,25.92222222222222,25.92222222222222,1011.39,0.3,21.879900000000003,overcast,rain,test_sarima_hourly +2024-08-13 01:58:35.502695068+00:00,26.788888888888888,26.17777777777778,1011.25,0.27,29.0122,overcast,rain,test_sarima_hourly +2024-08-13 02:58:37.489695068+00:00,25.811111111111103,25.811111111111103,1011.21,0.3,22.9586,overcast,rain,test_sarima_hourly +2024-08-13 03:58:36.482695068+00:00,24.95,24.95,1011.16,0.33,14.2485,overcast,rain,test_sarima_hourly +2024-08-13 04:58:35.259695068+00:00,24.0,24.0,1011.21,0.4,5.554500000000001,overcast,rain,test_sarima_hourly +2024-08-13 05:58:31.087695068+00:00,22.22222222222222,22.22222222222222,1010.88,0.49,4.4919,overcast,rain,test_sarima_hourly +2024-08-13 06:58:37.661695068+00:00,20.11666666666666,20.11666666666666,1011.0,0.6,1.9964,overcast,rain,test_sarima_hourly +2024-08-13 07:58:32.800695068+00:00,19.116666666666664,19.116666666666664,1011.68,0.63,2.7531000000000003,overcast,rain,test_sarima_hourly +2024-08-13 08:58:34.956695068+00:00,17.783333333333335,17.783333333333335,1012.39,0.69,4.9749,mostly cloudy,rain,test_sarima_hourly +2024-08-13 09:58:32.190695068+00:00,17.33888888888889,17.33888888888889,1012.5,0.7,5.474,overcast,rain,test_sarima_hourly +2024-08-13 10:58:28.934695068+00:00,17.283333333333335,17.283333333333335,1012.64,0.66,3.9606,mostly cloudy,rain,test_sarima_hourly +2024-08-13 11:58:29.609695068+00:00,15.933333333333334,15.933333333333334,1012.83,0.68,13.3952,mostly cloudy,rain,test_sarima_hourly +2024-08-13 12:58:28.494695068+00:00,16.172222222222224,16.172222222222224,1012.87,0.64,5.8121,mostly cloudy,rain,test_sarima_hourly +2024-08-13 13:58:32.610695068+00:00,14.516666666666667,14.516666666666667,1013.01,0.74,12.0106,mostly cloudy,rain,test_sarima_hourly +2024-08-13 14:58:29.698695068+00:00,14.27222222222222,14.27222222222222,1012.71,0.72,10.835300000000002,mostly cloudy,rain,test_sarima_hourly +2024-08-13 15:58:33.034695068+00:00,11.583333333333334,11.583333333333334,1013.28,0.8,3.3971,mostly cloudy,rain,test_sarima_hourly +2024-08-13 16:58:36.717695068+00:00,11.633333333333333,11.633333333333333,1013.46,0.83,1.3846,mostly cloudy,rain,test_sarima_hourly +2024-08-13 17:58:34.380695068+00:00,10.977777777777776,10.977777777777776,1013.41,0.86,0.3703,mostly cloudy,rain,test_sarima_hourly +2024-08-13 18:58:29.258695068+00:00,12.05,12.05,1013.92,0.86,1.8515,foggy,rain,test_sarima_hourly +2024-08-13 19:58:37.728695068+00:00,15.872222222222222,15.872222222222222,1014.08,0.79,2.2057,foggy,rain,test_sarima_hourly +2024-08-13 20:58:35.218695068+00:00,20.700000000000003,20.700000000000003,1014.01,0.58,0.7245,partly cloudy,rain,test_sarima_hourly +2024-08-13 21:58:31.085695068+00:00,21.877777777777776,21.877777777777776,1014.65,0.41,10.9158,mostly cloudy,rain,test_sarima_hourly +2024-08-13 22:58:34.827695068+00:00,22.59444444444445,22.59444444444445,1014.99,0.44,8.5974,mostly cloudy,rain,test_sarima_hourly +2024-08-13 23:58:37.109695068+00:00,23.15,23.15,1014.91,0.41,13.7977,mostly cloudy,rain,test_sarima_hourly +2024-08-14 00:58:37.856695068+00:00,24.74444444444445,24.74444444444445,1014.53,0.42,10.626,mostly cloudy,rain,test_sarima_hourly +2024-08-14 01:58:28.556695068+00:00,23.833333333333336,23.833333333333336,1014.52,0.37,23.1035,overcast,rain,test_sarima_hourly +2024-08-14 02:58:30.644695068+00:00,22.727777777777774,22.727777777777774,1014.55,0.4,24.8745,overcast,rain,test_sarima_hourly +2024-08-14 03:58:31.242695068+00:00,22.677777777777777,22.677777777777777,1014.33,0.48,12.8156,overcast,rain,test_sarima_hourly +2024-08-14 04:58:28.474695068+00:00,22.12222222222222,22.12222222222222,1014.42,0.51,11.1412,overcast,rain,test_sarima_hourly +2024-08-14 05:58:31.125695068+00:00,20.9,20.9,1014.91,0.53,12.525800000000002,overcast,rain,test_sarima_hourly +2024-08-14 06:58:34.560695068+00:00,18.766666666666666,18.766666666666666,1015.03,0.65,8.1305,overcast,rain,test_sarima_hourly +2024-08-14 07:58:28.299695068+00:00,17.89444444444444,17.89444444444444,1015.03,0.63,8.919400000000001,overcast,rain,test_sarima_hourly +2024-08-14 08:58:31.634695068+00:00,17.522222222222222,17.522222222222222,1015.18,0.65,10.577700000000002,overcast,rain,test_sarima_hourly +2024-08-14 09:58:32.097695068+00:00,16.988888888888887,16.988888888888887,1015.19,0.65,6.6976,overcast,rain,test_sarima_hourly +2024-08-14 10:58:37.682695068+00:00,16.983333333333334,16.983333333333334,1016.09,0.63,16.3898,overcast,rain,test_sarima_hourly +2024-08-14 11:58:31.569695068+00:00,15.344444444444443,15.344444444444443,1016.63,0.78,11.27,overcast,rain,test_sarima_hourly +2024-08-14 12:58:34.247695068+00:00,14.794444444444444,14.794444444444444,1016.26,0.78,6.295100000000001,overcast,rain,test_sarima_hourly +2024-08-14 13:58:33.916695068+00:00,13.844444444444443,13.844444444444443,1016.72,0.82,13.363,overcast,rain,test_sarima_hourly +2024-08-14 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00:58:31.734695068+00:00,10.050000000000002,10.050000000000002,1016.68,0.92,11.8174,overcast,rain,test_sarima_hourly +2024-05-31 01:58:37.533695068+00:00,9.944444444444445,8.488888888888889,1015.91,0.98,10.5133,overcast,rain,test_sarima_hourly +2024-05-31 02:58:29.396695068+00:00,10.027777777777777,10.027777777777777,1014.87,0.99,9.4668,overcast,rain,test_sarima_hourly +2024-05-31 03:58:37.429695068+00:00,9.97777777777778,9.044444444444444,1013.98,0.93,7.760200000000001,overcast,rain,test_sarima_hourly +2024-05-31 04:58:31.852695068+00:00,9.883333333333333,8.716666666666665,1013.23,0.93,8.8228,overcast,rain,test_sarima_hourly +2024-05-31 05:58:36.695695068+00:00,8.838888888888887,7.388888888888888,1012.29,1.0,9.3219,overcast,rain,test_sarima_hourly +2024-05-31 06:58:28.258695068+00:00,8.816666666666666,7.23888888888889,1011.89,1.0,9.982,overcast,rain,test_sarima_hourly +2024-05-31 07:58:28.154695068+00:00,8.75,7.4,1011.37,0.99,8.7262,overcast,rain,test_sarima_hourly +2024-05-31 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15:58:36.355695068+00:00,4.349999999999999,-0.2166666666666669,1015.09,0.92,24.1661,overcast,rain,test_sarima_hourly +2024-05-31 16:58:32.902695068+00:00,4.316666666666668,-0.1222222222222216,1015.61,0.9,22.8942,overcast,rain,test_sarima_hourly +2024-05-31 17:58:34.964695068+00:00,3.816666666666665,-0.5777777777777773,1016.61,0.92,21.3808,overcast,rain,test_sarima_hourly +2024-05-31 18:58:31.780695068+00:00,3.816666666666665,-0.4388888888888884,1017.4,0.91,20.2538,overcast,rain,test_sarima_hourly +2024-05-31 19:58:32.437695068+00:00,3.761111111111113,-0.3888888888888885,1018.14,0.9,19.2878,mostly cloudy,rain,test_sarima_hourly +2024-05-31 20:58:33.637695068+00:00,2.7999999999999994,-0.9388888888888896,1018.96,0.95,14.973000000000004,mostly cloudy,rain,test_sarima_hourly +2024-05-31 21:58:30.433695068+00:00,3.916666666666665,-0.916666666666666,1019.75,0.81,25.566800000000004,mostly cloudy,rain,test_sarima_hourly +2024-05-31 22:58:37.722695068+00:00,4.922222222222222,0.4277777777777795,1019.82,0.8,25.0999,mostly cloudy,rain,test_sarima_hourly +2024-05-31 23:58:35.841695068+00:00,6.044444444444446,1.8333333333333317,1020.36,0.7,25.438,mostly cloudy,rain,test_sarima_hourly +2024-06-01 00:58:33.432695068+00:00,6.116666666666665,1.7888888888888883,1020.48,0.65,26.9031,mostly cloudy,rain,test_sarima_hourly +2024-06-01 01:58:31.341695068+00:00,6.9722222222222205,2.8611111111111103,1020.66,0.6,27.3378,mostly cloudy,rain,test_sarima_hourly +2024-06-01 02:58:37.204695068+00:00,7.200000000000001,3.4611111111111095,1020.37,0.69,23.8924,mostly cloudy,rain,test_sarima_hourly +2024-06-01 03:58:36.080695068+00:00,7.1499999999999995,2.7722222222222235,1020.47,0.59,31.3145,breezy and mostly cloudy,rain,test_sarima_hourly +2024-06-01 04:58:34.871695068+00:00,6.144444444444446,2.872222222222223,1021.08,0.58,17.227,partly cloudy,rain,test_sarima_hourly +2024-06-01 05:58:30.454695068+00:00,4.877777777777778,1.5166666666666648,1021.13,0.6,15.649200000000002,partly cloudy,rain,test_sarima_hourly +2024-06-01 06:58:34.487695068+00:00,2.7777777777777777,-0.2277777777777778,1021.35,0.7,11.0929,partly cloudy,rain,test_sarima_hourly +2024-06-01 07:58:35.065695068+00:00,2.305555555555555,-1.377777777777778,1021.61,0.71,14.007,partly cloudy,rain,test_sarima_hourly +2024-06-01 08:58:32.695695068+00:00,1.0666666666666675,-2.5722222222222215,1021.65,0.78,12.380900000000002,partly cloudy,rain,test_sarima_hourly +2024-06-01 09:58:31.371695068+00:00,0.5166666666666665,-3.572222222222222,1021.63,0.85,14.023100000000005,partly cloudy,rain,test_sarima_hourly +2024-06-01 10:58:32.039695068+00:00,0.5888888888888901,-2.727777777777778,1021.59,0.85,10.5455,partly cloudy,rain,test_sarima_hourly +2024-06-01 11:58:28.295695068+00:00,0.4222222222222211,-3.138888888888888,1021.35,0.89,11.3988,partly cloudy,rain,test_sarima_hourly +2024-06-01 12:58:31.002695068+00:00,0.5111111111111121,-3.5833333333333335,1021.25,0.85,14.0392,partly cloudy,rain,test_sarima_hourly +2024-06-01 13:58:36.990695068+00:00,0.4777777777777774,-1.6444444444444448,1021.51,0.85,6.488300000000001,partly cloudy,rain,test_sarima_hourly +2024-06-01 14:58:29.198695068+00:00,0.9333333333333332,-3.088888888888888,1021.71,0.82,14.1841,partly cloudy,rain,test_sarima_hourly +2024-06-01 15:58:30.280695068+00:00,-0.5944444444444446,-2.9166666666666665,1021.62,0.85,6.5849,mostly cloudy,snow,test_sarima_hourly +2024-06-01 16:58:32.890695068+00:00,0.4388888888888884,-1.5777777777777775,1021.84,0.86,6.1985,mostly cloudy,rain,test_sarima_hourly +2024-06-01 17:58:35.239695068+00:00,1.0277777777777786,-1.5666666666666669,1022.12,0.85,8.162700000000001,mostly cloudy,rain,test_sarima_hourly +2024-06-01 18:58:29.542695068+00:00,0.9333333333333332,-3.0777777777777775,1022.22,0.86,14.0714,mostly cloudy,rain,test_sarima_hourly +2024-06-01 19:58:34.056695068+00:00,0.9833333333333352,-2.5166666666666675,1022.87,0.86,11.6564,mostly cloudy,rain,test_sarima_hourly +2024-06-01 20:58:29.671695068+00:00,1.072222222222222,-2.622222222222222,1023.65,0.86,12.654600000000002,mostly cloudy,rain,test_sarima_hourly +2024-06-01 21:58:33.556695068+00:00,2.738888888888889,-1.2388888888888892,1024.43,0.77,16.325400000000002,mostly cloudy,rain,test_sarima_hourly +2024-06-01 22:58:27.969695068+00:00,4.588888888888888,1.0999999999999983,1024.98,0.78,16.035600000000002,partly cloudy,rain,test_sarima_hourly +2024-06-01 23:58:37.202695068+00:00,4.9333333333333345,1.7000000000000013,1025.17,0.82,14.8925,partly cloudy,rain,test_sarima_hourly +2024-06-02 00:58:29.188695068+00:00,5.994444444444444,2.2777777777777786,1025.36,0.79,20.5758,partly cloudy,rain,test_sarima_hourly +2024-06-02 01:58:30.211695068+00:00,5.183333333333333,1.1777777777777765,1025.49,0.79,21.1715,mostly cloudy,rain,test_sarima_hourly +2024-06-02 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21:58:29.994695068+00:00,28.838888888888885,30.57222222222222,1022.35,0.59,12.2199,partly cloudy,rain,test_sarima_hourly +2024-10-18 22:58:28.905695068+00:00,30.100000000000005,32.09444444444444,1022.42,0.55,13.8621,partly cloudy,rain,test_sarima_hourly +2024-10-18 23:58:36.428695068+00:00,31.13333333333334,33.07222222222222,1022.43,0.51,10.8997,partly cloudy,rain,test_sarima_hourly +2024-10-19 00:58:36.149695068+00:00,31.15555555555555,33.67777777777778,1022.03,0.54,10.465,partly cloudy,rain,test_sarima_hourly +2024-10-19 01:58:31.151695068+00:00,32.32222222222222,34.577777777777776,1021.67,0.48,8.355900000000002,partly cloudy,rain,test_sarima_hourly +2024-10-19 02:58:28.534695068+00:00,32.800000000000004,35.599999999999994,1021.24,0.49,4.4919,partly cloudy,rain,test_sarima_hourly +2024-10-19 03:58:37.617695068+00:00,32.800000000000004,33.644444444444446,1020.83,0.41,3.1556,partly cloudy,rain,test_sarima_hourly +2024-10-19 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18:58:31.661695068+00:00,25.816666666666663,25.816666666666663,1019.06,0.75,5.0876,partly cloudy,rain,test_sarima_hourly +2024-10-19 19:58:35.175695068+00:00,27.633333333333333,30.161111111111115,1019.15,0.72,3.3488,partly cloudy,rain,test_sarima_hourly +2024-10-19 20:58:28.706695068+00:00,29.90555555555555,32.6,1019.12,0.6,8.017800000000001,partly cloudy,rain,test_sarima_hourly +2024-10-19 21:58:34.631695068+00:00,32.083333333333336,35.233333333333334,1019.09,0.53,13.7011,partly cloudy,rain,test_sarima_hourly +2024-10-19 22:58:37.612695068+00:00,32.63333333333333,36.394444444444446,1018.96,0.53,12.3487,partly cloudy,rain,test_sarima_hourly +2024-10-19 23:58:35.109695068+00:00,33.65,35.888888888888886,1018.49,0.44,15.278900000000002,partly cloudy,rain,test_sarima_hourly +2024-10-20 00:58:28.456695068+00:00,33.861111111111114,35.53333333333333,1018.01,0.41,12.3648,partly cloudy,rain,test_sarima_hourly +2024-10-20 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21:58:31.664695068+00:00,14.97777777777778,14.97777777777778,1013.59,0.93,7.840700000000001,overcast,rain,test_sarima_hourly +2024-09-05 22:58:33.183695068+00:00,16.211111111111112,16.211111111111112,1013.14,0.86,7.728,overcast,rain,test_sarima_hourly +2024-09-05 23:58:28.595695068+00:00,17.755555555555556,17.755555555555556,1012.61,0.73,7.792400000000001,mostly cloudy,rain,test_sarima_hourly +2024-09-06 00:58:32.562695068+00:00,18.83888888888889,18.83888888888889,1011.72,0.68,9.3219,mostly cloudy,rain,test_sarima_hourly +2024-09-06 01:58:31.240695068+00:00,19.91111111111111,19.91111111111111,1011.2,0.61,4.8944,mostly cloudy,rain,test_sarima_hourly +2024-09-06 02:58:33.154695068+00:00,19.90555555555555,19.90555555555555,1010.62,0.64,4.8783,mostly cloudy,rain,test_sarima_hourly +2024-09-06 03:58:34.205695068+00:00,20.944444444444443,20.944444444444443,1010.11,0.6,3.381,mostly cloudy,rain,test_sarima_hourly +2024-09-06 04:58:35.586695068+00:00,20.05,20.05,1009.45,0.62,6.3434,mostly 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12:58:33.378695068+00:00,15.33888888888889,15.33888888888889,1007.22,0.85,7.792400000000001,overcast,rain,test_sarima_hourly +2024-09-06 13:58:37.285695068+00:00,15.42777777777778,15.42777777777778,1006.74,0.85,5.0071,overcast,rain,test_sarima_hourly +2024-09-06 14:58:35.036695068+00:00,15.855555555555554,15.855555555555554,1006.14,0.82,10.851400000000002,overcast,rain,test_sarima_hourly +2024-09-06 15:58:35.173695068+00:00,15.344444444444443,15.344444444444443,1005.43,0.88,6.1824,overcast,rain,test_sarima_hourly +2024-09-06 16:58:34.120695068+00:00,14.83888888888889,14.83888888888889,1005.15,0.91,6.8586,overcast,rain,test_sarima_hourly +2024-09-06 17:58:36.420695068+00:00,14.81111111111111,14.81111111111111,1004.71,0.93,4.6046000000000005,overcast,rain,test_sarima_hourly +2024-09-06 18:58:34.588695068+00:00,15.9,15.9,1004.43,0.88,9.7244,mostly cloudy,rain,test_sarima_hourly +2024-09-06 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10:58:36.065695068+00:00,7.416666666666667,5.322222222222221,1016.03,0.92,11.2861,partly cloudy,rain,test_sarima_hourly +2024-09-10 11:58:36.384695068+00:00,7.127777777777776,4.977777777777778,1016.44,0.95,11.27,partly cloudy,rain,test_sarima_hourly +2024-09-10 12:58:35.830695068+00:00,6.500000000000002,4.255555555555554,1016.76,0.93,11.0929,partly cloudy,rain,test_sarima_hourly +2024-09-10 13:58:30.952695068+00:00,5.827777777777779,3.4999999999999982,1016.89,0.93,10.787,partly cloudy,rain,test_sarima_hourly +2024-09-10 14:58:29.703695068+00:00,5.044444444444443,2.5277777777777763,1017.04,0.93,10.948,partly cloudy,rain,test_sarima_hourly +2024-09-10 15:58:34.885695068+00:00,4.972222222222224,1.83888888888889,1016.87,0.89,14.3451,partly cloudy,rain,test_sarima_hourly +2024-09-10 16:58:29.625695068+00:00,5.044444444444443,2.183333333333333,1017.18,0.9,12.7673,mostly cloudy,rain,test_sarima_hourly +2024-09-10 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00:58:36.266695068+00:00,15.994444444444444,15.994444444444444,1017.64,0.48,14.812,mostly cloudy,rain,test_sarima_hourly +2024-09-11 01:58:31.331695068+00:00,15.005555555555553,15.005555555555553,1017.47,0.44,16.6474,mostly cloudy,rain,test_sarima_hourly +2024-09-11 02:58:28.784695068+00:00,14.949999999999998,14.949999999999998,1017.13,0.44,17.259200000000003,mostly cloudy,rain,test_sarima_hourly +2024-09-11 03:58:36.805695068+00:00,14.97777777777778,14.97777777777778,1016.82,0.47,17.2109,mostly cloudy,rain,test_sarima_hourly +2024-09-11 04:58:29.246695068+00:00,14.02777777777778,14.02777777777778,1016.58,0.45,20.463100000000004,mostly cloudy,rain,test_sarima_hourly +2024-09-11 05:58:33.317695068+00:00,13.88888888888889,13.88888888888889,1016.52,0.54,12.9283,mostly cloudy,rain,test_sarima_hourly +2024-09-11 06:58:33.502695068+00:00,12.82222222222222,12.82222222222222,1016.63,0.58,10.8836,partly cloudy,rain,test_sarima_hourly +2024-09-11 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14:58:36.852695068+00:00,4.8888888888888875,4.8888888888888875,1018.02,0.89,3.22,partly cloudy,rain,test_sarima_hourly +2024-09-11 15:58:36.745695068+00:00,4.333333333333332,2.811111111111112,1017.82,0.92,6.488300000000001,partly cloudy,rain,test_sarima_hourly +2024-09-11 16:58:33.792695068+00:00,4.605555555555555,3.2888888888888896,1017.75,0.91,5.9892,partly cloudy,rain,test_sarima_hourly +2024-09-11 17:58:30.252695068+00:00,6.027777777777779,6.027777777777779,1017.83,0.86,3.703,partly cloudy,rain,test_sarima_hourly +2024-09-11 18:58:36.219695068+00:00,7.666666666666665,5.677777777777777,1018.13,0.89,10.980200000000002,mostly cloudy,rain,test_sarima_hourly +2024-09-11 19:58:37.381695068+00:00,8.944444444444445,7.522222222222221,1018.45,0.83,9.2414,mostly cloudy,rain,test_sarima_hourly +2024-09-11 20:58:36.758695068+00:00,11.094444444444443,11.094444444444443,1018.99,0.77,5.1359,mostly cloudy,rain,test_sarima_hourly +2024-09-11 21:58:33.848695068+00:00,12.244444444444444,12.244444444444444,1018.71,0.71,10.8836,mostly cloudy,rain,test_sarima_hourly +2024-09-11 22:58:32.492695068+00:00,13.755555555555553,13.755555555555553,1018.83,0.63,13.8782,mostly cloudy,rain,test_sarima_hourly +2024-09-11 23:58:33.742695068+00:00,13.933333333333332,13.933333333333332,1018.32,0.54,20.608000000000004,mostly cloudy,rain,test_sarima_hourly +2024-09-12 00:58:31.771695068+00:00,13.91111111111111,13.91111111111111,1018.12,0.51,17.4202,mostly cloudy,rain,test_sarima_hourly +2024-09-12 01:58:37.171695068+00:00,14.2,14.2,1017.71,0.49,22.6366,mostly cloudy,rain,test_sarima_hourly +2024-09-12 02:58:31.780695068+00:00,14.97222222222222,14.97222222222222,1017.69,0.44,17.6295,mostly cloudy,rain,test_sarima_hourly +2024-09-12 03:58:34.705695068+00:00,14.000000000000002,14.000000000000002,1017.03,0.45,24.8101,mostly cloudy,rain,test_sarima_hourly +2024-09-12 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11:58:28.252695068+00:00,8.199999999999998,8.199999999999998,1018.4,0.8,3.0751,mostly cloudy,rain,test_sarima_hourly +2024-09-12 12:58:31.466695068+00:00,8.294444444444444,6.388888888888889,1018.11,0.8,11.237800000000002,mostly cloudy,rain,test_sarima_hourly +2024-09-12 13:58:31.881695068+00:00,8.377777777777776,6.661111111111112,1017.79,0.8,10.2557,mostly cloudy,rain,test_sarima_hourly +2024-09-12 14:58:29.638695068+00:00,7.249999999999998,7.249999999999998,1017.42,0.83,3.2844,mostly cloudy,rain,test_sarima_hourly +2024-09-12 15:58:37.058695068+00:00,7.205555555555555,7.205555555555555,1017.02,0.83,3.5259,mostly cloudy,rain,test_sarima_hourly +2024-09-12 16:58:33.787695068+00:00,8.32222222222222,6.605555555555556,1016.97,0.77,10.2235,mostly cloudy,rain,test_sarima_hourly +2024-09-12 17:58:30.867695068+00:00,7.73888888888889,5.711111111111112,1016.91,0.83,11.27,mostly cloudy,rain,test_sarima_hourly +2024-09-12 18:58:37.716695068+00:00,9.866666666666664,8.261111111111111,1017.11,0.78,11.382700000000002,overcast,rain,test_sarima_hourly +2024-09-12 19:58:29.699695068+00:00,11.855555555555558,11.855555555555558,1017.35,0.73,10.3362,mostly cloudy,rain,test_sarima_hourly +2024-09-12 20:58:31.426695068+00:00,13.816666666666666,13.816666666666666,1017.21,0.56,14.586600000000002,mostly cloudy,rain,test_sarima_hourly +2024-09-12 21:58:32.237695068+00:00,14.949999999999998,14.949999999999998,1017.11,0.55,15.617,mostly cloudy,rain,test_sarima_hourly +2024-09-12 22:58:28.721695068+00:00,16.105555555555558,16.105555555555558,1017.01,0.47,14.329,mostly cloudy,rain,test_sarima_hourly +2024-09-12 23:58:37.740695068+00:00,16.22222222222222,16.22222222222222,1016.8,0.48,15.8907,mostly cloudy,rain,test_sarima_hourly +2024-09-13 00:58:32.767695068+00:00,16.266666666666666,16.266666666666666,1016.3,0.47,16.0839,mostly cloudy,rain,test_sarima_hourly +2024-09-13 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08:58:28.498695068+00:00,11.11111111111111,11.11111111111111,1014.28,0.77,4.83,partly cloudy,rain,test_sarima_hourly +2024-09-13 09:58:33.104695068+00:00,10.46111111111111,10.46111111111111,1014.41,0.77,6.44,partly cloudy,rain,test_sarima_hourly +2024-09-13 10:58:34.118695068+00:00,9.67777777777778,9.67777777777778,1014.54,0.82,3.4776,partly cloudy,rain,test_sarima_hourly +2024-09-13 11:58:32.114695068+00:00,8.983333333333334,8.261111111111111,1014.3,0.83,6.1985,partly cloudy,rain,test_sarima_hourly +2024-09-13 12:58:33.886695068+00:00,8.955555555555556,8.955555555555556,1014.1,0.81,3.1878,partly cloudy,rain,test_sarima_hourly +2024-09-13 13:58:34.527695068+00:00,8.877777777777775,8.044444444444443,1013.8,0.83,6.5688,partly cloudy,rain,test_sarima_hourly +2024-09-13 14:58:35.519695068+00:00,8.42222222222222,8.42222222222222,1013.4,0.89,3.22,mostly cloudy,rain,test_sarima_hourly +2024-09-13 15:58:36.330695068+00:00,9.005555555555556,9.005555555555556,1012.9,0.86,3.0751,overcast,rain,test_sarima_hourly +2024-09-13 16:58:30.539695068+00:00,9.661111111111111,9.1,1012.72,0.86,6.0053,overcast,rain,test_sarima_hourly +2024-09-13 17:58:36.871695068+00:00,10.02222222222222,10.02222222222222,1012.4,0.83,9.499,overcast,rain,test_sarima_hourly +2024-09-13 18:58:32.066695068+00:00,11.11111111111111,11.11111111111111,1012.61,0.8,9.2575,mostly cloudy,rain,test_sarima_hourly +2024-09-13 19:58:28.286695068+00:00,12.344444444444443,12.344444444444443,1012.81,0.8,12.5419,mostly cloudy,rain,test_sarima_hourly +2024-09-13 20:58:35.081695068+00:00,14.905555555555551,14.905555555555551,1012.61,0.67,11.0124,mostly cloudy,rain,test_sarima_hourly +2024-09-13 21:58:31.051695068+00:00,17.200000000000003,17.200000000000003,1012.79,0.63,12.6063,mostly cloudy,rain,test_sarima_hourly +2024-09-13 22:58:31.816695068+00:00,18.788888888888884,18.788888888888884,1012.7,0.51,12.042800000000002,mostly 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20:58:32.544695068+00:00,12.805555555555554,12.805555555555554,1015.72,0.96,12.3004,overcast,rain,test_sarima_hourly +2024-08-27 21:58:36.809695068+00:00,13.894444444444442,13.894444444444442,1015.73,0.9,20.93,overcast,rain,test_sarima_hourly +2024-08-27 22:58:32.263695068+00:00,14.916666666666666,14.916666666666666,1015.49,0.84,16.0195,overcast,rain,test_sarima_hourly +2024-08-27 23:58:28.481695068+00:00,15.02777777777778,15.02777777777778,1015.73,0.83,10.4972,overcast,rain,test_sarima_hourly +2024-08-28 00:58:35.613695068+00:00,16.022222222222226,16.022222222222226,1015.43,0.78,10.4811,overcast,rain,test_sarima_hourly +2024-08-28 01:58:31.514695068+00:00,16.73888888888889,16.73888888888889,1015.42,0.66,10.0786,overcast,rain,test_sarima_hourly +2024-08-28 02:58:36.129695068+00:00,17.577777777777776,17.577777777777776,1014.94,0.66,10.2879,mostly cloudy,rain,test_sarima_hourly +2024-08-28 03:58:35.299695068+00:00,16.994444444444447,16.994444444444447,1014.27,0.56,0.4186,mostly 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13:58:27.945695068+00:00,11.016666666666666,11.016666666666666,1018.84,0.82,3.3005,partly cloudy,rain,test_sarima_hourly +2024-09-16 14:58:37.831695068+00:00,10.45,10.45,1018.65,0.84,6.488300000000001,partly cloudy,rain,test_sarima_hourly +2024-09-16 15:58:31.257695068+00:00,9.888888888888888,9.888888888888888,1018.55,0.84,3.22,clear,rain,test_sarima_hourly +2024-09-16 16:58:35.336695068+00:00,9.877777777777778,8.56111111111111,1018.66,0.84,9.66,partly cloudy,rain,test_sarima_hourly +2024-09-16 17:58:28.815695068+00:00,10.911111111111111,10.911111111111111,1018.65,0.81,7.6797,partly cloudy,rain,test_sarima_hourly +2024-09-16 18:58:35.139695068+00:00,15.82777777777778,15.82777777777778,1018.46,0.73,4.83,partly cloudy,rain,test_sarima_hourly +2024-09-16 19:58:27.973695068+00:00,17.77777777777778,17.77777777777778,1018.62,0.6,8.935500000000001,partly cloudy,rain,test_sarima_hourly +2024-09-16 20:58:28.679695068+00:00,20.13888888888889,20.13888888888889,1018.73,0.6,5.0071,partly 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22:58:33.553695068+00:00,26.088888888888885,26.088888888888885,1015.32,0.47,11.0768,mostly cloudy,rain,test_sarima_hourly +2024-09-22 23:58:35.316695068+00:00,27.194444444444443,27.255555555555556,1014.9,0.44,12.4292,mostly cloudy,rain,test_sarima_hourly +2024-09-23 00:58:28.284695068+00:00,27.772222222222226,27.649999999999995,1014.79,0.43,11.0446,mostly cloudy,rain,test_sarima_hourly +2024-09-23 01:58:32.031695068+00:00,28.744444444444444,28.111111111111107,1014.22,0.37,13.3791,mostly cloudy,rain,test_sarima_hourly +2024-09-23 02:58:30.175695068+00:00,28.788888888888884,28.072222222222223,1013.81,0.36,9.1448,partly cloudy,rain,test_sarima_hourly +2024-09-23 03:58:36.809695068+00:00,28.90555555555555,28.266666666666666,1013.29,0.37,10.8997,partly cloudy,rain,test_sarima_hourly +2024-09-23 04:58:31.429695068+00:00,28.805555555555557,28.09444444444444,1012.92,0.36,11.4149,partly cloudy,rain,test_sarima_hourly +2024-09-23 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12:58:29.331695068+00:00,16.67222222222222,16.67222222222222,1012.3,0.78,3.3971,partly cloudy,rain,test_sarima_hourly +2024-09-23 13:58:35.822695068+00:00,16.86111111111111,16.86111111111111,1011.92,0.79,3.0751,partly cloudy,rain,test_sarima_hourly +2024-09-23 14:58:30.384695068+00:00,15.627777777777778,15.627777777777778,1011.31,0.84,3.0751,partly cloudy,rain,test_sarima_hourly +2024-09-23 15:58:34.043695068+00:00,14.97777777777778,14.97777777777778,1010.81,0.87,6.1502,partly cloudy,rain,test_sarima_hourly +2024-09-23 16:58:33.781695068+00:00,15.083333333333334,15.083333333333334,1010.87,0.84,3.1878,partly cloudy,rain,test_sarima_hourly +2024-09-23 17:58:31.232695068+00:00,17.066666666666666,17.066666666666666,1010.62,0.81,1.61,mostly cloudy,rain,test_sarima_hourly +2024-09-23 18:58:31.476695068+00:00,18.8,18.8,1010.32,0.78,9.1931,mostly cloudy,rain,test_sarima_hourly +2024-09-23 19:58:35.271695068+00:00,20.877777777777776,20.877777777777776,1009.97,0.74,7.728,mostly 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17:58:32.091695068+00:00,12.127777777777776,12.127777777777776,1010.09,0.8,14.1519,overcast,rain,test_sarima_hourly +2024-08-28 18:58:32.743695068+00:00,12.68888888888889,12.68888888888889,1009.9,0.83,12.783400000000002,mostly cloudy,rain,test_sarima_hourly +2024-08-28 19:58:30.128695068+00:00,13.622222222222224,13.622222222222224,1009.99,0.79,15.810200000000002,mostly cloudy,rain,test_sarima_hourly +2024-08-28 20:58:31.979695068+00:00,15.977777777777776,15.977777777777776,1010.1,0.72,14.425600000000005,mostly cloudy,rain,test_sarima_hourly +2024-08-28 21:58:37.860695068+00:00,16.072222222222223,16.072222222222223,1009.99,0.71,11.0607,mostly cloudy,rain,test_sarima_hourly +2024-08-28 22:58:30.326695068+00:00,17.372222222222224,17.372222222222224,1010.29,0.65,8.0661,mostly cloudy,rain,test_sarima_hourly +2024-08-28 23:58:29.783695068+00:00,18.8,18.8,1009.96,0.56,5.7155000000000005,mostly cloudy,rain,test_sarima_hourly +2024-08-29 00:58:31.678695068+00:00,17.89444444444444,17.89444444444444,1009.84,0.56,5.3774,mostly cloudy,rain,test_sarima_hourly +2024-08-29 01:58:35.764695068+00:00,15.233333333333336,15.233333333333336,1009.59,0.8,14.3612,mostly cloudy,rain,test_sarima_hourly +2024-08-29 02:58:28.066695068+00:00,16.3,16.3,1009.5,0.79,9.3541,mostly cloudy,rain,test_sarima_hourly +2024-08-29 03:58:29.942695068+00:00,16.366666666666667,16.366666666666667,1009.48,0.65,20.7851,mostly cloudy,rain,test_sarima_hourly +2024-08-29 04:58:32.140695068+00:00,14.183333333333334,14.183333333333334,1009.87,0.72,18.1447,mostly cloudy,rain,test_sarima_hourly +2024-08-29 05:58:33.407695068+00:00,13.93888888888889,13.93888888888889,1010.26,0.73,15.230600000000004,overcast,rain,test_sarima_hourly +2024-08-29 06:58:31.165695068+00:00,12.894444444444446,12.894444444444446,1010.38,0.83,9.2897,overcast,rain,test_sarima_hourly +2024-08-29 07:58:33.651695068+00:00,12.366666666666664,12.366666666666664,1010.65,0.86,4.9749,mostly 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15:58:31.429695068+00:00,18.84444444444445,18.84444444444445,1007.64,0.89,3.703,mostly cloudy,rain,test_sarima_hourly +2024-09-24 16:58:31.757695068+00:00,18.28333333333333,18.28333333333333,1008.14,0.84,6.391700000000001,mostly cloudy,rain,test_sarima_hourly +2024-09-24 17:58:29.903695068+00:00,17.68888888888889,17.68888888888889,1008.32,0.85,7.824600000000001,mostly cloudy,rain,test_sarima_hourly +2024-09-24 18:58:34.515695068+00:00,19.844444444444445,19.844444444444445,1008.73,0.74,9.2253,mostly cloudy,rain,test_sarima_hourly +2024-09-24 19:58:30.982695068+00:00,21.13888888888889,21.13888888888889,1009.06,0.73,4.459700000000001,mostly cloudy,rain,test_sarima_hourly +2024-09-24 20:58:31.431695068+00:00,22.733333333333334,22.733333333333334,1009.11,0.71,8.05,mostly cloudy,rain,test_sarima_hourly +2024-09-24 21:58:29.164695068+00:00,24.822222222222223,24.822222222222223,1009.22,0.55,4.9588,partly cloudy,rain,test_sarima_hourly +2024-09-24 22:58:37.033695068+00:00,25.727777777777774,25.727777777777774,1009.45,0.46,7.1967,mostly cloudy,rain,test_sarima_hourly +2024-09-24 23:58:34.675695068+00:00,26.016666666666666,26.016666666666666,1009.42,0.45,7.357700000000001,mostly cloudy,rain,test_sarima_hourly +2024-09-25 00:58:35.405695068+00:00,25.022222222222226,25.022222222222226,1009.31,0.5,7.3899,mostly cloudy,rain,test_sarima_hourly +2024-09-25 01:58:37.010695068+00:00,26.955555555555552,27.22222222222222,1008.97,0.47,4.8461,partly cloudy,rain,test_sarima_hourly +2024-09-25 02:58:29.212695068+00:00,26.977777777777774,27.25,1008.94,0.48,10.9158,mostly cloudy,rain,test_sarima_hourly +2024-09-25 03:58:30.303695068+00:00,25.877777777777776,25.877777777777776,1008.54,0.51,11.4793,partly cloudy,rain,test_sarima_hourly +2024-09-25 04:58:35.345695068+00:00,23.249999999999996,23.249999999999996,1008.46,0.67,12.2038,mostly cloudy,rain,test_sarima_hourly +2024-09-25 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12:58:34.224695068+00:00,11.644444444444446,11.644444444444446,1019.49,0.77,6.3434,partly cloudy,rain,test_sarima_hourly +2024-08-31 13:58:35.379695068+00:00,10.433333333333334,10.433333333333334,1019.19,0.82,6.6654,partly cloudy,rain,test_sarima_hourly +2024-08-31 14:58:34.095695068+00:00,9.466666666666663,7.911111111111113,1019.07,0.84,10.5938,partly cloudy,rain,test_sarima_hourly +2024-08-31 15:58:37.767695068+00:00,8.311111111111112,6.433333333333333,1018.96,0.89,11.0768,partly cloudy,rain,test_sarima_hourly +2024-08-31 16:58:28.641695068+00:00,8.316666666666666,6.533333333333332,1018.58,0.9,10.577700000000002,partly cloudy,rain,test_sarima_hourly +2024-08-31 17:58:33.805695068+00:00,8.75,7.555555555555555,1018.48,0.89,8.0017,partly cloudy,rain,test_sarima_hourly +2024-08-31 18:58:31.396695068+00:00,12.094444444444449,12.094444444444449,1018.58,0.8,9.5795,partly cloudy,rain,test_sarima_hourly +2024-08-31 19:58:34.295695068+00:00,13.85,13.85,1018.77,0.72,16.1,partly 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10:58:30.275695068+00:00,12.85,12.85,1016.06,0.68,5.1359,partly cloudy,rain,test_sarima_hourly +2024-09-01 11:58:34.548695068+00:00,11.67222222222222,11.67222222222222,1016.06,0.71,6.488300000000001,partly cloudy,rain,test_sarima_hourly +2024-09-01 12:58:33.769695068+00:00,12.083333333333334,12.083333333333334,1016.15,0.7,6.488300000000001,partly cloudy,rain,test_sarima_hourly +2024-09-01 13:58:32.756695068+00:00,10.283333333333331,10.283333333333331,1015.84,0.74,6.230700000000001,partly cloudy,rain,test_sarima_hourly +2024-09-01 14:58:32.484695068+00:00,9.05,8.261111111111111,1015.45,0.83,6.5044,partly cloudy,rain,test_sarima_hourly +2024-09-01 15:58:32.656695068+00:00,9.611111111111107,8.916666666666664,1015.17,0.82,6.4722,partly cloudy,rain,test_sarima_hourly +2024-09-01 16:58:36.300695068+00:00,9.31111111111111,7.927777777777781,1015.13,0.81,9.4507,mostly cloudy,rain,test_sarima_hourly +2024-09-01 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cloudy,rain,test_sarima_hourly +2024-09-02 08:58:33.490695068+00:00,12.66111111111111,12.66111111111111,1014.66,0.53,9.1287,partly cloudy,rain,test_sarima_hourly +2024-09-02 09:58:30.490695068+00:00,13.699999999999998,13.699999999999998,1014.98,0.51,13.4596,partly cloudy,rain,test_sarima_hourly +2024-09-02 10:58:29.283695068+00:00,12.47777777777778,12.47777777777778,1015.09,0.55,3.4615,partly cloudy,rain,test_sarima_hourly +2024-09-02 11:58:32.517695068+00:00,9.588888888888889,9.588888888888889,1015.45,0.72,3.2683,partly cloudy,rain,test_sarima_hourly +2024-09-02 12:58:29.683695068+00:00,9.516666666666667,8.816666666666666,1015.75,0.67,6.423900000000001,partly cloudy,rain,test_sarima_hourly +2024-09-02 13:58:34.234695068+00:00,8.455555555555556,7.644444444444442,1015.86,0.75,6.230700000000001,partly cloudy,rain,test_sarima_hourly +2024-09-02 14:58:31.461695068+00:00,7.288888888888888,6.227777777777778,1015.84,0.8,6.488300000000001,partly cloudy,rain,test_sarima_hourly +2024-09-02 15:58:30.177695068+00:00,8.311111111111112,8.311111111111112,1015.76,0.75,3.4132,partly cloudy,rain,test_sarima_hourly +2024-09-02 16:58:30.613695068+00:00,7.372222222222224,6.422222222222223,1015.96,0.79,6.1341,partly cloudy,rain,test_sarima_hourly +2024-09-02 17:58:32.366695068+00:00,7.388888888888888,6.0555555555555545,1016.24,0.86,7.583100000000001,partly cloudy,rain,test_sarima_hourly +2024-09-02 18:58:29.670695068+00:00,10.072222222222225,10.072222222222225,1016.72,0.85,7.969500000000001,mostly cloudy,rain,test_sarima_hourly +2024-09-02 19:58:33.851695068+00:00,13.38888888888889,13.38888888888889,1016.92,0.69,9.338,mostly cloudy,rain,test_sarima_hourly +2024-09-02 20:58:28.311695068+00:00,15.050000000000002,15.050000000000002,1016.93,0.6,12.397,partly cloudy,rain,test_sarima_hourly +2024-09-02 21:58:29.265695068+00:00,16.183333333333334,16.183333333333334,1017.32,0.52,8.017800000000001,partly cloudy,rain,test_sarima_hourly +2024-09-02 22:58:34.201695068+00:00,17.327777777777776,17.327777777777776,1017.44,0.51,5.2003,partly cloudy,rain,test_sarima_hourly +2024-09-02 23:58:35.278695068+00:00,17.82777777777778,17.82777777777778,1017.25,0.44,8.6779,partly cloudy,rain,test_sarima_hourly +2024-09-03 00:58:28.961695068+00:00,18.86111111111111,18.86111111111111,1017.11,0.43,9.9659,partly cloudy,rain,test_sarima_hourly +2024-09-03 01:58:32.055695068+00:00,19.066666666666663,19.066666666666663,1017.01,0.45,10.851400000000002,mostly cloudy,rain,test_sarima_hourly +2024-09-03 02:58:30.596695068+00:00,19.93333333333333,19.93333333333333,1016.53,0.37,11.7852,mostly cloudy,rain,test_sarima_hourly +2024-09-03 03:58:30.080695068+00:00,20.022222222222226,20.022222222222226,1016.21,0.4,12.0589,mostly cloudy,rain,test_sarima_hourly +2024-09-03 04:58:35.787695068+00:00,19.050000000000004,19.050000000000004,1016.23,0.46,9.5151,mostly cloudy,rain,test_sarima_hourly +2024-09-03 05:58:34.610695068+00:00,18.911111111111115,18.911111111111115,1016.22,0.47,9.0965,partly cloudy,rain,test_sarima_hourly +2024-09-03 06:58:36.172695068+00:00,17.31111111111111,17.31111111111111,1016.31,0.44,14.1197,partly cloudy,rain,test_sarima_hourly +2024-09-03 07:58:37.809695068+00:00,16.227777777777778,16.227777777777778,1016.78,0.51,7.1645,partly cloudy,rain,test_sarima_hourly +2024-09-03 08:58:30.320695068+00:00,12.82777777777778,12.82777777777778,1017.51,0.65,0.3703,partly cloudy,rain,test_sarima_hourly +2024-09-03 09:58:32.747695068+00:00,12.155555555555557,12.155555555555557,1017.92,0.67,3.2039,partly cloudy,rain,test_sarima_hourly +2024-09-03 10:58:37.438695068+00:00,12.488888888888887,12.488888888888887,1018.17,0.7,3.2039,mostly cloudy,rain,test_sarima_hourly +2024-09-03 11:58:36.263695068+00:00,11.461111111111112,11.461111111111112,1018.25,0.78,3.22,partly cloudy,rain,test_sarima_hourly +2024-09-03 12:58:37.094695068+00:00,10.42222222222222,10.42222222222222,1018.36,0.83,3.22,partly cloudy,rain,test_sarima_hourly +2024-09-03 13:58:37.141695068+00:00,9.416666666666668,9.416666666666668,1018.43,0.84,4.1538,partly cloudy,rain,test_sarima_hourly +2024-09-03 14:58:36.992695068+00:00,9.31111111111111,8.488888888888889,1018.16,0.81,6.7942,partly cloudy,rain,test_sarima_hourly +2024-09-03 15:58:29.288695068+00:00,8.366666666666667,8.366666666666667,1018.33,0.89,2.8497000000000003,partly cloudy,rain,test_sarima_hourly +2024-09-03 16:58:37.170695068+00:00,8.333333333333334,7.5,1018.57,0.9,6.230700000000001,mostly cloudy,rain,test_sarima_hourly +2024-09-03 17:58:30.859695068+00:00,10.82222222222222,10.82222222222222,1018.64,0.81,3.22,mostly cloudy,rain,test_sarima_hourly +2024-09-03 18:58:30.537695068+00:00,10.916666666666666,10.916666666666666,1018.93,0.81,7.6797,mostly cloudy,rain,test_sarima_hourly +2024-09-03 19:58:35.467695068+00:00,13.45,13.45,1018.97,0.75,0.7084,mostly cloudy,rain,test_sarima_hourly +2024-09-03 20:58:30.712695068+00:00,17.083333333333332,17.083333333333332,1019.04,0.63,0.3703,partly cloudy,rain,test_sarima_hourly +2024-09-03 21:58:36.241695068+00:00,18.81666666666667,18.81666666666667,1019.24,0.52,1.3202,partly cloudy,rain,test_sarima_hourly +2024-09-03 22:58:30.686695068+00:00,19.66666666666667,19.66666666666667,1019.37,0.45,0.3542,partly cloudy,rain,test_sarima_hourly +2024-09-03 23:58:32.067695068+00:00,21.016666666666666,21.016666666666666,1019.32,0.41,0.1288,partly cloudy,rain,test_sarima_hourly +2024-09-04 00:58:34.186695068+00:00,19.977777777777774,19.977777777777774,1019.02,0.48,3.22,mostly cloudy,rain,test_sarima_hourly +2024-09-04 01:58:36.209695068+00:00,21.12777777777778,21.12777777777778,1018.85,0.37,10.7548,partly cloudy,rain,test_sarima_hourly +2024-09-04 02:58:32.989695068+00:00,20.155555555555555,20.155555555555555,1018.71,0.37,3.3488,mostly cloudy,rain,test_sarima_hourly +2024-09-04 03:58:28.894695068+00:00,22.194444444444443,22.194444444444443,1018.49,0.35,10.835300000000002,partly cloudy,rain,test_sarima_hourly +2024-09-04 04:58:33.424695068+00:00,21.988888888888887,21.988888888888887,1018.16,0.34,2.6404,partly cloudy,rain,test_sarima_hourly +2024-09-04 05:58:36.344695068+00:00,21.2,21.2,1018.01,0.35,11.27,partly cloudy,rain,test_sarima_hourly +2024-09-04 06:58:34.773695068+00:00,19.97222222222222,19.97222222222222,1018.11,0.4,9.4668,partly cloudy,rain,test_sarima_hourly +2024-09-04 07:58:32.685695068+00:00,17.816666666666663,17.816666666666663,1018.42,0.46,3.8962,partly cloudy,rain,test_sarima_hourly +2024-09-04 08:58:36.359695068+00:00,13.93888888888889,13.93888888888889,1019.21,0.67,8.05,partly cloudy,rain,test_sarima_hourly +2024-09-04 09:58:27.993695068+00:00,12.733333333333334,12.733333333333334,1019.7,0.77,8.05,partly cloudy,rain,test_sarima_hourly +2024-09-04 10:58:28.911695068+00:00,13.038888888888888,13.038888888888888,1019.45,0.69,3.2039,partly cloudy,rain,test_sarima_hourly +2025-02-26 12:58:30.836695068+00:00,6.205555555555557,4.527777777777777,1021.74,0.92,8.1466,mostly cloudy,,test_sarima_hourly +2025-02-26 13:58:34.764695068+00:00,5.827777777777779,4.17777777777778,1021.69,0.92,7.776300000000001,mostly cloudy,,test_sarima_hourly +2025-02-26 14:58:32.466695068+00:00,5.311111111111113,3.616666666666666,1021.61,0.93,7.615300000000001,partly cloudy,,test_sarima_hourly +2025-02-26 15:58:33.042695068+00:00,4.800000000000001,3.0888888888888903,1021.54,0.94,7.3738,partly cloudy,,test_sarima_hourly +2025-02-26 16:58:33.974695068+00:00,4.483333333333333,2.883333333333332,1021.54,0.95,6.810300000000001,clear,,test_sarima_hourly +2025-02-26 17:58:37.167695068+00:00,4.283333333333334,2.922222222222221,1021.67,0.96,5.9731000000000005,clear,,test_sarima_hourly +2025-02-26 18:58:31.008695068+00:00,4.21111111111111,3.177777777777777,1021.87,0.96,5.0715,clear,,test_sarima_hourly +2025-02-26 19:58:33.884695068+00:00,4.61111111111111,4.61111111111111,1022.07,0.95,4.347,clear,,test_sarima_hourly +2025-02-26 20:58:28.327695068+00:00,5.811111111111112,5.811111111111112,1022.25,0.9,3.6386,clear,,test_sarima_hourly +2025-02-26 21:58:29.737695068+00:00,7.527777777777776,7.527777777777776,1022.42,0.84,2.3506,clear,,test_sarima_hourly +2025-02-26 22:58:30.341695068+00:00,9.194444444444445,9.194444444444445,1022.45,0.77,1.4651,clear,,test_sarima_hourly +2025-02-26 23:58:36.455695068+00:00,10.716666666666663,10.716666666666663,1022.27,0.72,1.8676,clear,,test_sarima_hourly +2025-02-27 00:58:32.535695068+00:00,11.988888888888887,11.988888888888887,1021.96,0.68,2.6887,clear,,test_sarima_hourly +2025-02-27 01:58:36.331695068+00:00,12.633333333333336,12.633333333333336,1021.66,0.67,3.1717,clear,,test_sarima_hourly +2025-02-27 02:58:31.548695068+00:00,12.4,12.4,1021.38,0.68,2.9463000000000004,clear,,test_sarima_hourly +2025-02-27 03:58:31.142695068+00:00,11.622222222222224,11.622222222222224,1021.12,0.73,2.3184,clear,,test_sarima_hourly +2025-02-27 04:58:36.634695068+00:00,10.699999999999998,10.699999999999998,1020.87,0.77,1.8515,partly cloudy,,test_sarima_hourly +2025-02-27 05:58:33.047695068+00:00,9.72222222222222,9.72222222222222,1020.67,0.8,1.8032000000000004,partly cloudy,,test_sarima_hourly +2025-02-27 06:58:36.622695068+00:00,8.633333333333333,8.633333333333333,1020.49,0.83,1.9964,partly cloudy,,test_sarima_hourly +2025-02-27 07:58:36.288695068+00:00,7.783333333333331,7.783333333333331,1020.36,0.85,2.7531000000000003,partly cloudy,,test_sarima_hourly +2025-02-27 08:58:36.090695068+00:00,7.305555555555555,7.305555555555555,1020.28,0.86,4.250400000000001,partly cloudy,,test_sarima_hourly +2025-02-27 09:58:29.869695068+00:00,6.961111111111112,6.0555555555555545,1020.21,0.85,5.796,partly cloudy,,test_sarima_hourly +2025-02-27 10:58:33.581695068+00:00,6.627777777777777,5.322222222222221,1020.14,0.85,6.9874,partly cloudy,,test_sarima_hourly +2025-02-27 11:58:32.092695068+00:00,6.238888888888887,4.649999999999999,1020.05,0.86,7.824600000000001,partly cloudy,,test_sarima_hourly +2025-03-07 12:58:30.578695068+00:00,4.4555555555555575,2.2777777777777786,1019.49,0.91,8.903300000000002,partly cloudy,rain,test_sarima_hourly +2025-03-07 13:58:36.293695068+00:00,4.100000000000001,1.83888888888889,1019.41,0.93,8.9838,partly cloudy,rain,test_sarima_hourly +2025-03-07 14:58:36.469695068+00:00,3.761111111111113,1.4222222222222234,1019.3,0.93,9.032100000000002,partly cloudy,rain,test_sarima_hourly +2025-03-07 15:58:36.689695068+00:00,3.483333333333335,1.0833333333333348,1019.22,0.93,9.0804,partly cloudy,rain,test_sarima_hourly +2025-03-07 16:58:29.616695068+00:00,3.3333333333333335,0.8833333333333352,1019.21,0.92,9.160900000000002,partly cloudy,rain,test_sarima_hourly +2025-03-07 17:58:36.808695068+00:00,3.394444444444444,0.905555555555557,1019.27,0.91,9.3702,partly cloudy,rain,test_sarima_hourly +2025-03-07 18:58:28.940695068+00:00,3.7166666666666655,1.2055555555555566,1019.39,0.89,9.7244,partly cloudy,rain,test_sarima_hourly +2025-03-07 19:58:37.682695068+00:00,4.333333333333332,1.81111111111111,1019.55,0.87,10.304000000000002,partly cloudy,rain,test_sarima_hourly +2025-03-07 20:58:35.796695068+00:00,5.199999999999999,2.694444444444445,1019.7,0.85,11.0768,mostly cloudy,rain,test_sarima_hourly +2025-03-07 21:58:33.438695068+00:00,6.244444444444445,3.7944444444444434,1019.78,0.82,11.9462,mostly cloudy,rain,test_sarima_hourly +2025-03-07 22:58:37.134695068+00:00,7.344444444444444,4.9833333333333325,1019.75,0.8,12.783400000000002,mostly cloudy,rain,test_sarima_hourly +2025-03-07 23:58:32.989695068+00:00,8.350000000000001,6.105555555555557,1019.62,0.77,13.4435,mostly cloudy,rain,test_sarima_hourly +2025-03-08 00:58:37.153695068+00:00,9.127777777777778,7.011111111111109,1019.39,0.76,13.8138,mostly cloudy,rain,test_sarima_hourly +2025-03-08 01:58:34.157695068+00:00,9.588888888888889,7.583333333333333,1019.1,0.75,13.7816,mostly cloudy,rain,test_sarima_hourly +2025-03-08 02:58:32.879695068+00:00,9.688888888888888,7.76111111111111,1018.82,0.74,13.3308,mostly cloudy,rain,test_sarima_hourly +2025-03-08 03:58:30.924695068+00:00,9.43333333333333,7.566666666666666,1018.59,0.74,12.525800000000002,mostly cloudy,rain,test_sarima_hourly +2025-03-08 04:58:36.264695068+00:00,8.900000000000002,7.077777777777779,1018.47,0.75,11.4954,mostly cloudy,rain,test_sarima_hourly +2025-03-08 05:58:37.436695068+00:00,8.18888888888889,6.400000000000002,1018.47,0.76,10.465,mostly cloudy,rain,test_sarima_hourly +2025-03-08 06:58:31.256695068+00:00,7.416666666666667,5.627777777777779,1018.59,0.78,9.66,mostly cloudy,rain,test_sarima_hourly +2025-03-08 07:58:32.606695068+00:00,6.666666666666667,4.849999999999998,1018.8,0.8,9.1126,mostly cloudy,rain,test_sarima_hourly +2025-03-08 08:58:34.143695068+00:00,6.016666666666666,4.144444444444445,1019.04,0.83,8.8228,partly cloudy,rain,test_sarima_hourly +2025-03-08 09:58:30.579695068+00:00,5.477777777777778,3.5277777777777786,1019.26,0.85,8.7423,partly cloudy,rain,test_sarima_hourly +2025-03-08 10:58:30.648695068+00:00,5.038888888888889,2.994444444444445,1019.41,0.88,8.790600000000001,partly cloudy,rain,test_sarima_hourly +2025-03-08 11:58:30.503695068+00:00,4.655555555555557,2.5166666666666675,1019.48,0.9,8.919400000000001,partly cloudy,rain,test_sarima_hourly +2025-03-08 12:58:33.353695068+00:00,4.300000000000001,2.066666666666666,1019.45,0.92,9.032100000000002,partly cloudy,rain,test_sarima_hourly +2025-03-08 13:58:32.833695068+00:00,3.95,1.633333333333332,1019.37,0.93,9.0965,partly cloudy,rain,test_sarima_hourly +2025-03-08 14:58:34.237695068+00:00,3.611111111111111,1.222222222222224,1019.26,0.93,9.1287,partly cloudy,rain,test_sarima_hourly +2025-03-08 15:58:33.372695068+00:00,3.3333333333333335,0.8833333333333352,1019.18,0.93,9.160900000000002,partly cloudy,rain,test_sarima_hourly +2025-03-08 16:58:31.783695068+00:00,3.177777777777777,0.6833333333333316,1019.17,0.93,9.2414,partly cloudy,rain,test_sarima_hourly +2025-03-08 17:58:34.954695068+00:00,3.2333333333333334,0.7055555555555573,1019.23,0.91,9.4185,partly cloudy,rain,test_sarima_hourly +2025-03-08 18:58:33.795695068+00:00,3.555555555555555,0.9999999999999984,1019.36,0.89,9.7727,partly cloudy,rain,test_sarima_hourly +2025-03-08 19:58:34.606695068+00:00,4.161111111111112,1.594444444444443,1019.51,0.87,10.3523,partly cloudy,rain,test_sarima_hourly +2025-03-08 20:58:35.632695068+00:00,5.022222222222222,2.4722222222222237,1019.66,0.85,11.109000000000002,mostly cloudy,rain,test_sarima_hourly +2025-03-08 21:58:29.750695068+00:00,6.061111111111109,3.561111111111109,1019.74,0.82,11.9784,mostly cloudy,rain,test_sarima_hourly +2025-03-08 22:58:30.253695068+00:00,7.1499999999999995,4.744444444444444,1019.72,0.8,12.8156,mostly cloudy,rain,test_sarima_hourly +2025-03-08 23:58:37.690695068+00:00,8.15,5.86111111111111,1019.58,0.78,13.4757,mostly cloudy,rain,test_sarima_hourly +2025-03-09 00:58:29.776695068+00:00,8.927777777777777,6.761111111111112,1019.35,0.76,13.8299,mostly cloudy,rain,test_sarima_hourly +2025-03-09 01:58:32.966695068+00:00,9.383333333333333,7.327777777777777,1019.07,0.75,13.7977,mostly cloudy,rain,test_sarima_hourly +2025-03-09 02:58:30.638695068+00:00,9.483333333333333,7.505555555555554,1018.78,0.74,13.3469,mostly cloudy,rain,test_sarima_hourly +2025-03-09 03:58:34.253695068+00:00,9.227777777777778,7.316666666666667,1018.55,0.74,12.525800000000002,mostly cloudy,rain,test_sarima_hourly +2025-03-09 04:58:35.884695068+00:00,8.699999999999998,6.83888888888889,1018.43,0.75,11.4632,mostly cloudy,rain,test_sarima_hourly +2025-03-09 05:58:32.503695068+00:00,7.9944444444444445,6.172222222222222,1018.43,0.77,10.432800000000002,mostly cloudy,rain,test_sarima_hourly +2025-03-09 06:58:32.393695068+00:00,7.222222222222222,5.405555555555554,1018.56,0.78,9.6278,mostly cloudy,rain,test_sarima_hourly +2025-03-09 07:58:30.012695068+00:00,6.488888888888889,4.638888888888889,1018.76,0.81,9.0965,mostly cloudy,rain,test_sarima_hourly +2025-03-09 08:58:34.347695068+00:00,5.838888888888888,3.933333333333332,1019.0,0.83,8.8389,partly cloudy,rain,test_sarima_hourly +2025-03-09 09:58:33.526695068+00:00,5.311111111111113,3.316666666666666,1019.22,0.86,8.790600000000001,partly cloudy,rain,test_sarima_hourly +2025-03-09 10:58:31.043695068+00:00,4.877777777777778,2.7833333333333323,1019.38,0.88,8.8711,partly cloudy,rain,test_sarima_hourly +2025-03-09 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21:58:36.277695068+00:00,5.155555555555556,2.4722222222222237,1019.62,0.84,11.9301,mostly cloudy,rain,test_sarima_hourly +2025-03-13 22:58:27.916695068+00:00,6.211111111111111,3.611111111111111,1019.6,0.81,12.7351,mostly cloudy,rain,test_sarima_hourly +2025-03-13 23:58:29.748695068+00:00,7.183333333333334,4.7,1019.47,0.79,13.363,mostly cloudy,rain,test_sarima_hourly +2025-03-14 00:58:28.349695068+00:00,7.938888888888887,5.5777777777777775,1019.24,0.78,13.685,mostly cloudy,rain,test_sarima_hourly +2025-03-14 01:58:34.022695068+00:00,8.38888888888889,6.133333333333333,1018.96,0.77,13.6206,mostly cloudy,rain,test_sarima_hourly +2025-03-14 02:58:34.202695068+00:00,8.483333333333336,6.322222222222224,1018.67,0.76,13.1054,mostly cloudy,rain,test_sarima_hourly +2025-03-14 03:58:37.011695068+00:00,8.238888888888887,6.172222222222222,1018.45,0.76,12.1716,mostly cloudy,rain,test_sarima_hourly +2025-03-14 04:58:28.075695068+00:00,7.727777777777776,5.750000000000001,1018.32,0.77,10.996300000000002,mostly cloudy,rain,test_sarima_hourly +2025-03-14 05:58:29.924695068+00:00,7.044444444444444,5.133333333333335,1018.33,0.78,9.9337,mostly cloudy,rain,test_sarima_hourly +2025-03-14 06:58:35.328695068+00:00,6.305555555555556,4.41111111111111,1018.45,0.8,9.177,mostly cloudy,rain,test_sarima_hourly +2025-03-14 07:58:30.537695068+00:00,5.599999999999999,3.677777777777776,1018.66,0.82,8.7262,partly cloudy,rain,test_sarima_hourly +2025-03-14 08:58:28.908695068+00:00,4.994444444444445,2.966666666666669,1018.9,0.84,8.694,partly cloudy,rain,test_sarima_hourly +2025-03-14 09:58:31.829695068+00:00,4.500000000000001,2.3944444444444457,1019.12,0.87,8.645700000000001,partly cloudy,rain,test_sarima_hourly +2025-03-14 10:58:33.976695068+00:00,4.100000000000001,1.8944444444444424,1019.28,0.89,8.7423,partly cloudy,rain,test_sarima_hourly +2025-03-14 11:58:32.612695068+00:00,3.75,1.4388888888888909,1019.34,0.91,8.935500000000001,partly cloudy,rain,test_sarima_hourly +2025-03-14 12:58:29.677695068+00:00,3.4222222222222203,1.0055555555555569,1019.32,0.92,9.1126,partly cloudy,rain,test_sarima_hourly +2025-03-14 13:58:29.119695068+00:00,3.0833333333333317,0.5777777777777773,1019.23,0.94,9.2092,partly cloudy,rain,test_sarima_hourly +2025-03-14 14:58:28.575695068+00:00,2.744444444444443,0.166666666666665,1019.13,0.94,9.2575,partly cloudy,rain,test_sarima_hourly +2025-03-14 15:58:31.655695068+00:00,2.4555555555555566,-0.1888888888888888,1019.05,0.94,9.2897,partly cloudy,rain,test_sarima_hourly +2025-03-14 16:58:29.189695068+00:00,2.2888888888888874,-0.4055555555555558,1019.04,0.93,9.3702,partly cloudy,rain,test_sarima_hourly +2025-03-14 17:58:32.900695068+00:00,2.311111111111109,-0.4166666666666667,1019.1,0.92,9.5151,partly cloudy,rain,test_sarima_hourly +2025-03-14 18:58:33.505695068+00:00,2.5944444444444454,-0.1555555555555562,1019.23,0.9,9.8371,partly cloudy,rain,test_sarima_hourly +2025-03-14 19:58:28.731695068+00:00,3.1611111111111097,0.3888888888888904,1019.39,0.88,10.3845,partly cloudy,rain,test_sarima_hourly +2025-03-14 20:58:28.147695068+00:00,3.9833333333333343,1.2166666666666657,1019.54,0.86,11.125100000000002,partly cloudy,rain,test_sarima_hourly +2025-03-14 21:58:37.798695068+00:00,4.977777777777778,2.255555555555557,1019.62,0.84,11.9623,mostly cloudy,rain,test_sarima_hourly +2025-03-14 22:58:30.950695068+00:00,6.027777777777779,3.383333333333335,1019.6,0.82,12.7673,mostly cloudy,rain,test_sarima_hourly +2025-03-14 23:58:32.149695068+00:00,6.994444444444446,4.461111111111112,1019.46,0.8,13.4113,mostly cloudy,rain,test_sarima_hourly +2025-03-15 00:58:35.107695068+00:00,7.750000000000002,5.333333333333334,1019.24,0.78,13.7333,mostly cloudy,rain,test_sarima_hourly +2025-03-15 01:58:32.875695068+00:00,8.194444444444445,5.888888888888889,1018.95,0.77,13.685,mostly cloudy,rain,test_sarima_hourly +2025-03-15 02:58:34.043695068+00:00,8.28888888888889,6.072222222222222,1018.67,0.76,13.202,mostly cloudy,rain,test_sarima_hourly +2025-03-15 03:58:34.581695068+00:00,8.050000000000002,5.911111111111111,1018.44,0.76,12.3326,mostly cloudy,rain,test_sarima_hourly +2025-03-15 04:58:27.961695068+00:00,7.538888888888888,5.477777777777778,1018.32,0.77,11.237800000000002,mostly cloudy,rain,test_sarima_hourly +2025-03-15 05:58:33.902695068+00:00,6.861111111111112,4.855555555555557,1018.32,0.78,10.2074,mostly cloudy,rain,test_sarima_hourly +2025-03-15 06:58:32.275695068+00:00,6.127777777777778,4.13888888888889,1018.45,0.8,9.4507,mostly cloudy,rain,test_sarima_hourly +2025-03-15 07:58:34.657695068+00:00,5.433333333333334,3.411111111111111,1018.65,0.82,8.9999,mostly cloudy,rain,test_sarima_hourly +2025-03-15 08:58:36.206695068+00:00,4.827777777777777,2.744444444444443,1018.9,0.84,8.8067,partly cloudy,rain,test_sarima_hourly +2025-03-15 09:58:31.208695068+00:00,4.33888888888889,2.1722222222222203,1019.12,0.87,8.790600000000001,partly cloudy,rain,test_sarima_hourly +2025-03-15 10:58:35.114695068+00:00,3.944444444444445,1.6777777777777796,1019.27,0.89,8.903300000000002,partly cloudy,rain,test_sarima_hourly +2025-03-15 11:58:29.243695068+00:00,3.605555555555557,1.2277777777777783,1019.34,0.91,9.0965,partly cloudy,rain,test_sarima_hourly +2025-03-15 12:58:30.797695068+00:00,3.277777777777777,0.7999999999999987,1019.32,0.93,9.2414,partly cloudy,rain,test_sarima_hourly +2025-03-15 13:58:33.584695068+00:00,2.938888888888888,0.3833333333333321,1019.23,0.94,9.3219,partly cloudy,rain,test_sarima_hourly +2025-03-15 14:58:29.628695068+00:00,2.6055555555555543,-0.0222222222222217,1019.13,0.94,9.3541,partly cloudy,rain,test_sarima_hourly +2025-03-15 15:58:30.960695068+00:00,2.316666666666668,-0.3722222222222232,1019.05,0.94,9.3702,partly cloudy,rain,test_sarima_hourly +2025-03-15 16:58:28.024695068+00:00,2.144444444444444,-0.5944444444444446,1019.04,0.93,9.4346,partly cloudy,rain,test_sarima_hourly +2025-03-15 17:58:36.163695068+00:00,2.166666666666666,-0.6055555555555555,1019.1,0.92,9.5795,partly cloudy,rain,test_sarima_hourly +2025-03-15 18:58:28.693695068+00:00,2.444444444444444,-0.3555555555555558,1019.23,0.91,9.9015,partly cloudy,rain,test_sarima_hourly +2025-03-15 19:58:37.409695068+00:00,2.999999999999999,0.1833333333333323,1019.39,0.89,10.448900000000002,partly cloudy,rain,test_sarima_hourly +2025-03-15 20:58:31.127695068+00:00,3.816666666666665,0.9999999999999984,1019.53,0.86,11.1895,mostly cloudy,rain,test_sarima_hourly +2025-03-15 21:58:28.751695068+00:00,4.8055555555555545,2.033333333333331,1019.61,0.84,12.0267,mostly cloudy,rain,test_sarima_hourly +2025-03-15 22:58:34.878695068+00:00,5.8500000000000005,3.155555555555555,1019.59,0.82,12.8317,mostly cloudy,rain,test_sarima_hourly +2025-03-15 23:58:34.893695068+00:00,6.81111111111111,4.227777777777778,1019.46,0.8,13.4596,mostly cloudy,rain,test_sarima_hourly +2025-03-16 00:58:35.878695068+00:00,7.561111111111111,5.094444444444445,1019.23,0.78,13.7816,mostly cloudy,rain,test_sarima_hourly +2025-03-16 01:58:37.279695068+00:00,8.005555555555553,5.650000000000001,1018.95,0.77,13.7333,mostly cloudy,rain,test_sarima_hourly +2025-03-16 02:58:36.684695068+00:00,8.1,5.827777777777779,1018.67,0.77,13.2664,mostly cloudy,rain,test_sarima_hourly +2025-03-16 03:58:28.344695068+00:00,7.861111111111111,5.666666666666668,1018.44,0.77,12.4453,mostly cloudy,rain,test_sarima_hourly +2025-03-16 04:58:28.912695068+00:00,7.355555555555558,5.227777777777776,1018.32,0.77,11.382700000000002,mostly cloudy,rain,test_sarima_hourly +2025-03-16 05:58:35.833695068+00:00,6.683333333333334,4.605555555555555,1018.32,0.79,10.3845,mostly cloudy,rain,test_sarima_hourly +2025-03-16 06:58:37.519695068+00:00,5.955555555555555,3.894444444444443,1018.45,0.8,9.6117,mostly cloudy,rain,test_sarima_hourly +2025-03-16 07:58:35.596695068+00:00,5.26111111111111,3.18888888888889,1018.65,0.82,9.1126,mostly cloudy,rain,test_sarima_hourly +2025-03-16 08:58:32.720695068+00:00,4.666666666666666,2.538888888888889,1018.9,0.85,8.8711,partly cloudy,rain,test_sarima_hourly +2025-03-16 09:58:31.773695068+00:00,4.183333333333334,1.966666666666666,1019.12,0.87,8.8711,partly cloudy,rain,test_sarima_hourly +2025-03-16 10:58:28.023695068+00:00,3.7944444444444434,1.4722222222222214,1019.27,0.89,8.9999,partly cloudy,rain,test_sarima_hourly +2025-03-16 11:58:29.965695068+00:00,3.4611111111111095,1.033333333333333,1019.34,0.91,9.1931,partly cloudy,rain,test_sarima_hourly +2025-03-16 12:58:37.320695068+00:00,3.138888888888888,0.6166666666666664,1019.32,0.93,9.3219,partly cloudy,rain,test_sarima_hourly +2025-03-16 13:58:28.253695068+00:00,2.805555555555554,0.1999999999999996,1019.23,0.94,9.3863,partly cloudy,rain,test_sarima_hourly +2025-03-16 14:58:35.762695068+00:00,2.4666666666666655,-0.1999999999999996,1019.13,0.94,9.3863,partly cloudy,rain,test_sarima_hourly +2025-03-16 15:58:35.504695068+00:00,2.177777777777779,-0.5499999999999992,1019.05,0.94,9.4024,partly cloudy,rain,test_sarima_hourly +2025-03-16 16:58:29.755695068+00:00,2.000000000000001,-0.7722222222222226,1019.04,0.94,9.4668,partly cloudy,rain,test_sarima_hourly +2025-03-16 17:58:35.458695068+00:00,2.016666666666668,-0.7944444444444443,1019.1,0.92,9.6278,partly cloudy,rain,test_sarima_hourly +2025-03-16 18:58:31.856695068+00:00,2.2888888888888874,-0.5499999999999992,1019.23,0.91,9.9659,partly cloudy,rain,test_sarima_hourly +2025-03-16 19:58:36.179695068+00:00,2.844444444444443,-0.0222222222222217,1019.39,0.89,10.5133,partly cloudy,rain,test_sarima_hourly +2025-03-16 20:58:29.148695068+00:00,3.65,0.7888888888888899,1019.54,0.87,11.253900000000002,mostly cloudy,rain,test_sarima_hourly +2025-03-16 21:58:36.205695068+00:00,4.6333333333333355,1.81111111111111,1019.62,0.84,12.0911,mostly cloudy,rain,test_sarima_hourly +2025-03-16 22:58:36.051695068+00:00,5.6722222222222225,2.9277777777777794,1019.6,0.82,12.9122,mostly cloudy,rain,test_sarima_hourly +2025-03-16 23:58:32.433695068+00:00,6.627777777777777,3.994444444444443,1019.47,0.8,13.5401,mostly cloudy,rain,test_sarima_hourly +2025-03-17 00:58:29.451695068+00:00,7.377777777777778,4.855555555555557,1019.24,0.79,13.8621,mostly cloudy,rain,test_sarima_hourly +2025-03-17 01:58:29.539695068+00:00,7.816666666666666,5.405555555555554,1018.96,0.78,13.7977,mostly cloudy,rain,test_sarima_hourly +2025-03-17 02:58:32.406695068+00:00,7.911111111111113,5.58888888888889,1018.67,0.77,13.3469,mostly cloudy,rain,test_sarima_hourly +2025-03-17 03:58:32.983695068+00:00,7.672222222222223,5.422222222222221,1018.45,0.77,12.5419,mostly cloudy,rain,test_sarima_hourly +2025-03-17 04:58:32.890695068+00:00,7.166666666666667,4.9833333333333325,1018.32,0.78,11.511500000000002,mostly cloudy,rain,test_sarima_hourly +2025-03-17 05:58:33.775695068+00:00,6.500000000000002,4.366666666666666,1018.33,0.79,10.5294,mostly cloudy,rain,test_sarima_hourly +2025-03-17 06:58:37.814695068+00:00,5.777777777777777,3.661111111111113,1018.45,0.81,9.7405,mostly cloudy,rain,test_sarima_hourly +2025-03-17 07:58:35.777695068+00:00,5.094444444444445,2.9611111111111104,1018.66,0.83,9.2253,mostly cloudy,rain,test_sarima_hourly +2025-03-17 08:58:29.089695068+00:00,4.5055555555555555,2.322222222222222,1018.9,0.85,8.9838,mostly cloudy,rain,test_sarima_hourly +2025-03-17 09:58:37.543695068+00:00,4.033333333333332,1.761111111111112,1019.13,0.87,8.9677,partly cloudy,rain,test_sarima_hourly +2025-03-17 10:58:28.030695068+00:00,3.65,1.277777777777776,1019.28,0.89,9.0965,partly cloudy,rain,test_sarima_hourly +2025-03-17 11:58:29.474695068+00:00,3.316666666666666,0.8500000000000006,1019.35,0.91,9.2414,partly cloudy,rain,test_sarima_hourly +2025-02-27 12:58:37.243695068+00:00,7.449999999999998,5.983333333333335,1019.92,0.88,8.1788,partly cloudy,,test_sarima_hourly +2025-02-27 13:58:31.081695068+00:00,7.327777777777777,5.666666666666668,1019.81,0.89,8.9677,partly cloudy,,test_sarima_hourly +2025-02-27 14:58:33.417695068+00:00,7.361111111111111,5.616666666666666,1019.66,0.9,9.3863,mostly cloudy,,test_sarima_hourly +2025-02-27 15:58:36.142695068+00:00,7.444444444444445,5.5777777777777775,1019.51,0.89,10.0786,mostly cloudy,,test_sarima_hourly +2025-02-27 16:58:28.557695068+00:00,7.477777777777779,5.42777777777778,1019.49,0.88,11.109000000000002,mostly cloudy,,test_sarima_hourly +2025-02-27 17:58:27.968695068+00:00,7.355555555555558,5.116666666666667,1019.73,0.86,12.075,mostly cloudy,,test_sarima_hourly +2025-02-27 18:58:33.735695068+00:00,7.311111111111109,4.716666666666668,1019.98,0.84,14.2485,mostly cloudy,,test_sarima_hourly +2025-02-27 19:58:30.915695068+00:00,7.344444444444444,4.372222222222221,1020.26,0.82,17.146500000000003,mostly cloudy,,test_sarima_hourly +2025-02-27 20:58:31.974695068+00:00,7.122222222222222,4.800000000000001,1020.52,0.83,12.2682,mostly cloudy,,test_sarima_hourly +2025-02-27 21:58:35.378695068+00:00,7.249999999999998,5.799999999999999,1020.71,0.82,7.969500000000001,mostly cloudy,,test_sarima_hourly +2025-02-27 22:58:34.220695068+00:00,7.905555555555553,7.233333333333336,1020.72,0.8,5.490100000000001,mostly cloudy,,test_sarima_hourly +2025-02-27 23:58:33.054695068+00:00,8.994444444444444,8.994444444444444,1020.53,0.76,4.7334000000000005,mostly cloudy,,test_sarima_hourly +2025-02-28 00:58:32.796695068+00:00,10.394444444444446,10.394444444444446,1020.37,0.73,4.5563,clear,rain,test_sarima_hourly +2025-02-28 01:58:31.011695068+00:00,11.11111111111111,11.11111111111111,1020.04,0.71,4.83,clear,rain,test_sarima_hourly +2025-02-28 02:58:29.237695068+00:00,10.46111111111111,10.46111111111111,1019.76,0.72,4.508,clear,rain,test_sarima_hourly +2025-02-28 03:58:33.146695068+00:00,9.816666666666668,9.816666666666668,1019.48,0.74,4.2021,clear,rain,test_sarima_hourly +2025-02-28 04:58:32.346695068+00:00,9.166666666666666,9.166666666666666,1019.23,0.76,3.912300000000001,clear,rain,test_sarima_hourly +2025-02-28 05:58:36.806695068+00:00,8.516666666666666,8.516666666666666,1019.01,0.78,3.6547,clear,rain,test_sarima_hourly +2025-02-28 06:58:34.099695068+00:00,7.872222222222224,7.872222222222224,1018.8,0.79,3.4132,clear,rain,test_sarima_hourly +2025-02-28 07:58:29.627695068+00:00,7.222222222222222,7.222222222222222,1018.62,0.81,3.22,clear,rain,test_sarima_hourly +2025-02-28 08:58:28.353695068+00:00,7.222222222222222,7.222222222222222,1018.66,0.81,3.22,clear,rain,test_sarima_hourly +2025-02-28 09:58:37.192695068+00:00,7.222222222222222,7.222222222222222,1018.69,0.81,3.22,clear,rain,test_sarima_hourly +2025-02-28 10:58:37.649695068+00:00,7.222222222222222,7.222222222222222,1018.71,0.81,3.22,clear,rain,test_sarima_hourly +2025-02-28 11:58:31.219695068+00:00,7.222222222222222,7.222222222222222,1018.72,0.81,3.22,clear,rain,test_sarima_hourly +2025-03-17 12:58:35.005695068+00:00,2.999999999999999,0.4444444444444428,1019.32,0.93,9.338,partly cloudy,rain,test_sarima_hourly +2025-03-17 13:58:36.332695068+00:00,2.666666666666665,0.0444444444444434,1019.24,0.94,9.3702,partly cloudy,rain,test_sarima_hourly +2025-03-17 14:58:28.435695068+00:00,2.333333333333335,-0.3555555555555558,1019.14,0.94,9.3702,partly cloudy,rain,test_sarima_hourly +2025-03-17 15:58:30.952695068+00:00,2.0388888888888896,-0.7055555555555553,1019.06,0.94,9.3863,partly cloudy,rain,test_sarima_hourly +2025-03-17 16:58:34.975695068+00:00,1.861111111111112,-0.9388888888888896,1019.05,0.94,9.4668,partly cloudy,rain,test_sarima_hourly +2025-03-17 17:58:32.967695068+00:00,1.872222222222221,-0.9722222222222222,1019.11,0.93,9.6439,partly cloudy,rain,test_sarima_hourly +2025-03-17 18:58:30.313695068+00:00,2.1388888888888897,-0.7388888888888879,1019.24,0.91,9.9981,partly cloudy,rain,test_sarima_hourly +2025-03-17 19:58:33.807695068+00:00,2.683333333333332,-0.2166666666666669,1019.4,0.89,10.5616,mostly cloudy,rain,test_sarima_hourly +2025-03-17 20:58:29.916695068+00:00,3.483333333333335,0.5777777777777773,1019.55,0.87,11.3022,mostly cloudy,rain,test_sarima_hourly +2025-03-17 21:58:37.164695068+00:00,4.461111111111112,1.5888888888888886,1019.63,0.85,12.1555,mostly cloudy,rain,test_sarima_hourly +2025-03-17 22:58:28.082695068+00:00,5.4944444444444445,2.6999999999999997,1019.61,0.82,12.9766,mostly cloudy,rain,test_sarima_hourly +2025-03-17 23:58:31.323695068+00:00,6.449999999999999,3.755555555555554,1019.48,0.8,13.6206,mostly cloudy,rain,test_sarima_hourly +2025-03-18 00:58:35.296695068+00:00,7.194444444444446,4.616666666666668,1019.25,0.79,13.9587,mostly cloudy,rain,test_sarima_hourly +2025-03-18 01:58:37.846695068+00:00,7.633333333333336,5.166666666666665,1018.97,0.78,13.9104,mostly cloudy,rain,test_sarima_hourly +2025-03-18 02:58:37.157695068+00:00,7.722222222222222,5.344444444444443,1018.68,0.77,13.4596,mostly cloudy,rain,test_sarima_hourly +2025-03-18 03:58:29.207695068+00:00,7.488888888888886,5.177777777777778,1018.46,0.77,12.654600000000002,mostly cloudy,rain,test_sarima_hourly +2025-03-18 04:58:37.273695068+00:00,6.988888888888888,4.73888888888889,1018.34,0.78,11.6564,mostly cloudy,rain,test_sarima_hourly +2025-03-18 05:58:36.935695068+00:00,6.322222222222224,4.122222222222224,1018.34,0.79,10.6743,mostly cloudy,rain,test_sarima_hourly +2025-03-18 06:58:30.101695068+00:00,5.611111111111112,3.427777777777779,1018.46,0.81,9.8854,mostly cloudy,rain,test_sarima_hourly +2025-03-18 07:58:33.779695068+00:00,4.927777777777776,2.7333333333333343,1018.67,0.83,9.3702,mostly cloudy,rain,test_sarima_hourly +2025-03-18 08:58:30.382695068+00:00,4.349999999999999,2.1000000000000005,1018.91,0.85,9.1287,mostly cloudy,rain,test_sarima_hourly +2025-03-18 09:58:35.302695068+00:00,3.877777777777776,1.5499999999999996,1019.14,0.87,9.0965,mostly cloudy,rain,test_sarima_hourly +2025-03-18 10:58:29.916695068+00:00,3.505555555555557,1.0888888888888897,1019.29,0.89,9.160900000000002,partly cloudy,rain,test_sarima_hourly +2025-03-18 11:58:31.616695068+00:00,3.177777777777777,0.6833333333333316,1019.36,0.91,9.2414,partly cloudy,rain,test_sarima_hourly +2025-03-18 12:58:32.946695068+00:00,2.8611111111111103,0.294444444444445,1019.34,0.93,9.2897,partly cloudy,rain,test_sarima_hourly +2025-03-18 13:58:37.387695068+00:00,2.5333333333333345,-0.1055555555555562,1019.25,0.94,9.3219,partly cloudy,rain,test_sarima_hourly +2025-03-18 14:58:32.477695068+00:00,2.194444444444446,-0.5055555555555556,1019.15,0.94,9.3219,partly cloudy,rain,test_sarima_hourly +2025-03-18 15:58:36.896695068+00:00,1.9055555555555552,-0.8555555555555551,1019.07,0.94,9.338,partly cloudy,rain,test_sarima_hourly +2025-03-18 16:58:36.227695068+00:00,1.722222222222223,-1.094444444444444,1019.06,0.94,9.4346,partly cloudy,rain,test_sarima_hourly +2025-03-18 17:58:28.001695068+00:00,1.7277777777777774,-1.1388888888888893,1019.12,0.93,9.6278,partly cloudy,rain,test_sarima_hourly +2025-03-18 18:58:36.414695068+00:00,1.988888888888888,-0.916666666666666,1019.25,0.91,9.982,partly cloudy,rain,test_sarima_hourly +2025-03-18 19:58:34.738695068+00:00,2.5333333333333345,-0.4055555555555558,1019.41,0.89,10.5616,mostly cloudy,rain,test_sarima_hourly +2025-03-18 20:58:36.484695068+00:00,3.3222222222222206,0.3833333333333321,1019.56,0.87,11.3183,mostly cloudy,rain,test_sarima_hourly +2025-03-18 21:58:30.333695068+00:00,4.2944444444444425,1.3833333333333344,1019.64,0.85,12.1877,mostly cloudy,rain,test_sarima_hourly +2025-03-18 22:58:36.738695068+00:00,5.322222222222221,2.4833333333333325,1019.62,0.83,13.0088,mostly cloudy,rain,test_sarima_hourly +2025-03-18 23:58:36.159695068+00:00,6.272222222222222,3.533333333333333,1019.49,0.81,13.6689,mostly cloudy,rain,test_sarima_hourly +2025-03-19 00:58:35.080695068+00:00,7.011111111111109,4.383333333333334,1019.26,0.79,14.0392,mostly cloudy,rain,test_sarima_hourly +2025-03-19 01:58:30.461695068+00:00,7.449999999999998,4.922222222222222,1018.98,0.78,14.007,mostly cloudy,rain,test_sarima_hourly +2025-03-19 02:58:31.479695068+00:00,7.538888888888888,5.1,1018.7,0.78,13.5723,mostly cloudy,rain,test_sarima_hourly +2025-03-19 03:58:28.437695068+00:00,7.305555555555555,4.9333333333333345,1018.47,0.78,12.799500000000002,mostly cloudy,rain,test_sarima_hourly +2025-03-19 04:58:33.240695068+00:00,6.805555555555555,4.494444444444446,1018.35,0.78,11.8174,mostly cloudy,rain,test_sarima_hourly +2025-03-19 05:58:31.776695068+00:00,6.15,3.877777777777776,1018.36,0.79,10.851400000000002,mostly cloudy,rain,test_sarima_hourly +2025-03-19 06:58:32.789695068+00:00,5.438888888888888,3.18888888888889,1018.48,0.81,10.0464,mostly cloudy,rain,test_sarima_hourly +2025-03-19 07:58:31.068695068+00:00,4.766666666666666,2.505555555555554,1018.69,0.83,9.5151,mostly cloudy,rain,test_sarima_hourly +2025-03-19 08:58:34.822695068+00:00,4.194444444444443,1.888888888888888,1018.93,0.85,9.2414,mostly cloudy,rain,test_sarima_hourly +2025-03-19 09:58:30.750695068+00:00,3.7277777777777783,1.3611111111111127,1019.15,0.87,9.1287,mostly cloudy,rain,test_sarima_hourly +2025-03-19 10:58:32.478695068+00:00,3.3611111111111094,0.9277777777777788,1019.31,0.9,9.1287,partly cloudy,rain,test_sarima_hourly +2025-03-19 11:58:35.069695068+00:00,3.0388888888888883,0.5333333333333338,1019.38,0.91,9.177,partly cloudy,rain,test_sarima_hourly +2025-03-19 12:58:36.002695068+00:00,2.727777777777776,0.1500000000000017,1019.35,0.93,9.2414,partly cloudy,rain,test_sarima_hourly +2025-03-19 13:58:29.126695068+00:00,2.4000000000000004,-0.2499999999999996,1019.27,0.94,9.2575,partly cloudy,rain,test_sarima_hourly +2025-03-19 14:58:29.300695068+00:00,2.061111111111112,-0.6500000000000009,1019.17,0.95,9.2736,partly cloudy,rain,test_sarima_hourly +2025-03-19 15:58:29.021695068+00:00,1.7666666666666666,-1.0055555555555549,1019.09,0.95,9.2897,partly cloudy,rain,test_sarima_hourly +2025-03-19 16:58:35.160695068+00:00,1.583333333333334,-1.25,1019.08,0.94,9.3863,partly cloudy,rain,test_sarima_hourly +2025-03-19 17:58:29.886695068+00:00,1.5888888888888886,-1.2999999999999998,1019.14,0.93,9.5956,partly cloudy,rain,test_sarima_hourly +2025-03-19 18:58:30.339695068+00:00,1.8444444444444448,-1.0888888888888897,1019.27,0.91,9.9659,mostly cloudy,rain,test_sarima_hourly +2025-03-19 19:58:35.044695068+00:00,2.377777777777778,-0.5833333333333337,1019.43,0.89,10.5455,mostly cloudy,rain,test_sarima_hourly +2025-03-19 20:58:34.593695068+00:00,3.1666666666666683,0.1944444444444452,1019.58,0.87,11.3022,mostly cloudy,rain,test_sarima_hourly +2025-03-19 21:58:32.649695068+00:00,4.127777777777777,1.183333333333335,1019.66,0.85,12.1716,mostly cloudy,rain,test_sarima_hourly +2025-03-19 22:58:36.178695068+00:00,5.150000000000002,2.272222222222224,1019.64,0.83,13.0088,mostly cloudy,rain,test_sarima_hourly +2025-03-19 23:58:34.176695068+00:00,6.094444444444444,3.316666666666666,1019.51,0.81,13.685,mostly cloudy,rain,test_sarima_hourly +2025-03-20 00:58:36.614695068+00:00,6.833333333333332,4.161111111111112,1019.28,0.79,14.0714,mostly cloudy,rain,test_sarima_hourly +2025-03-20 01:58:36.244695068+00:00,7.266666666666666,4.694444444444446,1019.0,0.78,14.0714,mostly cloudy,rain,test_sarima_hourly +2025-03-20 02:58:37.869695068+00:00,7.361111111111111,4.866666666666665,1018.72,0.78,13.6689,mostly cloudy,rain,test_sarima_hourly +2025-03-20 03:58:32.393695068+00:00,7.127777777777776,4.694444444444446,1018.49,0.78,12.9283,mostly cloudy,rain,test_sarima_hourly +2025-03-20 04:58:29.012695068+00:00,6.633333333333332,4.255555555555554,1018.37,0.79,11.9623,mostly cloudy,rain,test_sarima_hourly +2025-03-20 05:58:33.535695068+00:00,5.977777777777777,3.6444444444444457,1018.38,0.8,10.996300000000002,mostly cloudy,rain,test_sarima_hourly +2025-03-20 06:58:34.159695068+00:00,5.272222222222223,2.9611111111111104,1018.5,0.81,10.1913,mostly cloudy,rain,test_sarima_hourly +2025-03-20 07:58:34.383695068+00:00,4.605555555555555,2.2888888888888874,1018.71,0.83,9.6278,mostly cloudy,rain,test_sarima_hourly +2025-03-20 08:58:35.060695068+00:00,4.0388888888888905,1.6944444444444429,1018.95,0.85,9.2897,mostly cloudy,rain,test_sarima_hourly +2025-03-20 09:58:34.876695068+00:00,3.583333333333335,1.188888888888889,1019.17,0.88,9.1287,mostly cloudy,rain,test_sarima_hourly +2025-03-20 10:58:32.082695068+00:00,3.2166666666666663,0.7611111111111097,1019.33,0.9,9.0965,mostly cloudy,rain,test_sarima_hourly +2025-03-20 11:58:37.308695068+00:00,2.8999999999999995,0.3777777777777776,1019.4,0.92,9.1448,partly cloudy,rain,test_sarima_hourly +2025-03-20 12:58:33.730695068+00:00,2.5944444444444454,-0.0055555555555564,1019.37,0.93,9.2092,partly cloudy,rain,test_sarima_hourly +2025-03-20 13:58:36.154695068+00:00,2.2666666666666657,-0.3999999999999993,1019.29,0.94,9.2414,partly cloudy,rain,test_sarima_hourly +2025-03-20 14:58:31.352695068+00:00,1.9333333333333316,-0.8000000000000007,1019.19,0.95,9.2575,partly cloudy,rain,test_sarima_hourly +2025-03-20 15:58:29.604695068+00:00,1.633333333333332,-1.161111111111111,1019.11,0.95,9.2897,partly cloudy,rain,test_sarima_hourly +2025-03-20 16:58:29.763695068+00:00,1.4499999999999995,-1.4111111111111103,1019.1,0.94,9.3863,partly cloudy,rain,test_sarima_hourly +2025-03-20 17:58:35.672695068+00:00,1.4499999999999995,-1.466666666666667,1019.16,0.93,9.5956,mostly cloudy,rain,test_sarima_hourly +2025-03-20 18:58:28.940695068+00:00,1.7000000000000013,-1.2611111111111108,1019.29,0.91,9.9659,mostly cloudy,rain,test_sarima_hourly +2025-03-20 19:58:29.011695068+00:00,2.2277777777777765,-0.7666666666666662,1019.45,0.89,10.5455,mostly cloudy,rain,test_sarima_hourly +2025-03-20 20:58:32.122695068+00:00,3.0055555555555538,0.0,1019.6,0.87,11.3183,mostly cloudy,rain,test_sarima_hourly +2025-03-20 21:58:29.231695068+00:00,3.966666666666667,0.9833333333333352,1019.68,0.85,12.1877,mostly cloudy,rain,test_sarima_hourly +2025-03-20 22:58:37.122695068+00:00,4.9833333333333325,2.066666666666666,1019.66,0.83,13.0249,mostly cloudy,rain,test_sarima_hourly +2025-03-20 23:58:37.134695068+00:00,5.922222222222221,3.099999999999999,1019.53,0.81,13.7011,mostly cloudy,rain,test_sarima_hourly +2025-03-21 00:58:36.289695068+00:00,6.655555555555554,3.938888888888891,1019.31,0.8,14.1036,mostly cloudy,rain,test_sarima_hourly +2025-03-21 01:58:36.238695068+00:00,7.088888888888888,4.466666666666666,1019.02,0.79,14.1197,mostly cloudy,rain,test_sarima_hourly +2025-03-21 02:58:33.316695068+00:00,7.183333333333334,4.638888888888889,1018.74,0.78,13.7333,mostly cloudy,rain,test_sarima_hourly +2025-03-21 03:58:28.652695068+00:00,6.949999999999999,4.466666666666666,1018.51,0.78,13.0088,mostly cloudy,rain,test_sarima_hourly +2025-03-21 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11:58:37.001695068+00:00,2.766666666666665,0.2055555555555541,1019.42,0.92,9.1931,mostly cloudy,rain,test_sarima_hourly +2025-03-21 12:58:35.321695068+00:00,2.461111111111111,-0.1722222222222215,1019.4,0.93,9.2575,partly cloudy,rain,test_sarima_hourly +2025-03-21 13:58:35.385695068+00:00,2.133333333333335,-0.5666666666666664,1019.32,0.94,9.2897,partly cloudy,rain,test_sarima_hourly +2025-03-21 14:58:28.753695068+00:00,1.8000000000000012,-0.9666666666666658,1019.21,0.95,9.2897,partly cloudy,rain,test_sarima_hourly +2025-03-21 15:58:31.730695068+00:00,1.505555555555556,-1.3277777777777782,1019.14,0.95,9.3219,partly cloudy,rain,test_sarima_hourly +2025-03-21 16:58:27.991695068+00:00,1.316666666666665,-1.5777777777777775,1019.13,0.94,9.4346,mostly cloudy,rain,test_sarima_hourly +2025-03-21 17:58:37.791695068+00:00,1.311111111111111,-1.6388888888888884,1019.19,0.93,9.6439,mostly cloudy,rain,test_sarima_hourly +2025-03-21 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21:58:32.887695068+00:00,7.200000000000001,5.005555555555555,1020.02,0.81,11.6242,mostly cloudy,rain,test_sarima_hourly +2025-03-02 22:58:28.763695068+00:00,8.333333333333334,6.244444444444445,1019.99,0.78,12.4292,mostly cloudy,rain,test_sarima_hourly +2025-03-02 23:58:30.994695068+00:00,9.366666666666667,7.405555555555555,1019.86,0.76,13.041,mostly cloudy,rain,test_sarima_hourly +2025-03-03 00:58:31.114695068+00:00,10.172222222222224,10.172222222222224,1019.63,0.74,13.363,mostly cloudy,rain,test_sarima_hourly +2025-03-03 01:58:37.607695068+00:00,10.644444444444442,10.644444444444442,1019.34,0.73,13.2825,mostly cloudy,rain,test_sarima_hourly +2025-03-03 02:58:30.717695068+00:00,10.738888888888887,10.738888888888887,1019.06,0.72,12.783400000000002,mostly cloudy,rain,test_sarima_hourly +2025-03-03 03:58:29.586695068+00:00,10.477777777777778,10.477777777777778,1018.83,0.72,11.9301,mostly cloudy,rain,test_sarima_hourly +2025-03-03 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16:58:34.369695068+00:00,3.800000000000002,1.4833333333333345,1019.34,0.92,8.9999,partly cloudy,rain,test_sarima_hourly +2025-03-04 17:58:27.921695068+00:00,3.877777777777776,1.5222222222222233,1019.4,0.91,9.1931,partly cloudy,rain,test_sarima_hourly +2025-03-04 18:58:30.655695068+00:00,4.222222222222223,1.8444444444444448,1019.53,0.89,9.5634,partly cloudy,rain,test_sarima_hourly +2025-03-04 19:58:34.180695068+00:00,4.855555555555557,2.4722222222222237,1019.69,0.86,10.143,partly cloudy,rain,test_sarima_hourly +2025-03-04 20:58:37.861695068+00:00,5.750000000000001,3.383333333333335,1019.83,0.84,10.9158,mostly cloudy,rain,test_sarima_hourly +2025-03-04 21:58:29.035695068+00:00,6.816666666666668,4.511111111111109,1019.91,0.81,11.7691,mostly cloudy,rain,test_sarima_hourly +2025-03-04 22:58:28.732695068+00:00,7.933333333333334,5.727777777777779,1019.89,0.79,12.6063,mostly cloudy,rain,test_sarima_hourly +2025-03-04 23:58:32.732695068+00:00,8.955555555555556,6.877777777777779,1019.76,0.76,13.2503,mostly cloudy,rain,test_sarima_hourly +2025-03-05 00:58:32.511695068+00:00,9.749999999999998,7.799999999999999,1019.53,0.75,13.5723,mostly cloudy,rain,test_sarima_hourly +2025-03-05 01:58:31.433695068+00:00,10.216666666666669,10.216666666666669,1019.24,0.73,13.5079,mostly cloudy,rain,test_sarima_hourly +2025-03-05 02:58:34.988695068+00:00,10.316666666666666,10.316666666666666,1018.95,0.73,13.0249,mostly cloudy,rain,test_sarima_hourly +2025-03-05 03:58:31.239695068+00:00,10.055555555555555,10.055555555555555,1018.73,0.73,12.1716,mostly cloudy,rain,test_sarima_hourly +2025-03-05 04:58:36.605695068+00:00,9.511111111111113,7.877777777777778,1018.6,0.74,11.125100000000002,mostly cloudy,rain,test_sarima_hourly +2025-03-05 05:58:28.890695068+00:00,8.788888888888888,7.177777777777779,1018.6,0.75,10.0947,mostly cloudy,rain,test_sarima_hourly +2025-03-05 06:58:33.402695068+00:00,7.98888888888889,6.377777777777776,1018.72,0.77,9.3219,mostly cloudy,rain,test_sarima_hourly +2025-03-05 07:58:29.417695068+00:00,7.222222222222222,5.58888888888889,1018.93,0.79,8.758400000000002,mostly cloudy,rain,test_sarima_hourly +2025-03-05 08:58:32.085695068+00:00,6.55,4.8888888888888875,1019.17,0.82,8.3398,partly cloudy,rain,test_sarima_hourly +2025-03-05 09:58:30.165695068+00:00,5.98888888888889,4.2444444444444445,1019.39,0.85,8.2593,partly cloudy,rain,test_sarima_hourly +2025-03-05 10:58:30.337695068+00:00,5.5277777777777795,3.677777777777776,1019.54,0.87,8.372000000000002,partly cloudy,rain,test_sarima_hourly +2025-03-05 11:58:33.033695068+00:00,5.127777777777776,3.1666666666666683,1019.61,0.89,8.533,partly cloudy,rain,test_sarima_hourly +2025-03-05 12:58:29.144695068+00:00,4.761111111111111,2.688888888888891,1019.58,0.91,8.694,partly cloudy,rain,test_sarima_hourly +2025-03-05 13:58:34.442695068+00:00,4.400000000000001,2.23888888888889,1019.5,0.92,8.8067,partly cloudy,rain,test_sarima_hourly +2025-03-05 14:58:34.222695068+00:00,4.061111111111113,1.8222222222222229,1019.39,0.93,8.8711,partly cloudy,rain,test_sarima_hourly +2025-03-05 15:58:35.578695068+00:00,3.7833333333333345,1.4833333333333345,1019.31,0.93,8.919400000000001,partly cloudy,rain,test_sarima_hourly +2025-03-05 16:58:32.047695068+00:00,3.6444444444444457,1.2944444444444434,1019.3,0.92,9.016,partly cloudy,rain,test_sarima_hourly +2025-03-05 17:58:31.628695068+00:00,3.7166666666666655,1.3277777777777782,1019.36,0.91,9.2092,partly cloudy,rain,test_sarima_hourly +2025-03-05 18:58:33.390695068+00:00,4.05,1.6388888888888904,1019.48,0.89,9.5956,partly cloudy,rain,test_sarima_hourly +2025-03-05 19:58:32.532695068+00:00,4.677777777777779,2.255555555555557,1019.64,0.87,10.1752,partly cloudy,rain,test_sarima_hourly +2025-03-05 20:58:29.712695068+00:00,5.566666666666668,3.155555555555555,1019.78,0.84,10.948,mostly cloudy,rain,test_sarima_hourly +2025-03-05 21:58:28.380695068+00:00,6.622222222222224,4.272222222222221,1019.86,0.81,11.8174,mostly cloudy,rain,test_sarima_hourly +2025-03-05 22:58:31.317695068+00:00,7.733333333333334,5.477777777777778,1019.84,0.79,12.654600000000002,mostly cloudy,rain,test_sarima_hourly +2025-03-05 23:58:33.412695068+00:00,8.75,6.6166666666666645,1019.71,0.77,13.3147,mostly cloudy,rain,test_sarima_hourly +2025-03-06 00:58:29.973695068+00:00,9.53888888888889,7.533333333333335,1019.48,0.75,13.6689,mostly cloudy,rain,test_sarima_hourly +2025-03-06 01:58:33.554695068+00:00,10.005555555555553,10.005555555555553,1019.19,0.74,13.6206,mostly cloudy,rain,test_sarima_hourly +2025-03-06 02:58:36.294695068+00:00,10.105555555555554,10.105555555555554,1018.9,0.73,13.1698,mostly cloudy,rain,test_sarima_hourly +2025-03-06 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16:58:37.244695068+00:00,8.083333333333332,5.966666666666668,1009.01,0.94,12.236,drizzle,rain,test_sarima_hourly +2025-02-06 17:58:30.928695068+00:00,8.266666666666667,6.1388888888888875,1008.69,0.93,12.558,drizzle,rain,test_sarima_hourly +2025-02-06 18:58:34.704695068+00:00,8.25,5.7055555555555575,1008.4,0.93,15.520400000000002,drizzle,rain,test_sarima_hourly +2025-02-06 19:58:29.624695068+00:00,8.233333333333333,5.477777777777778,1008.2,0.93,17.2109,light rain,rain,test_sarima_hourly +2025-02-06 20:58:28.541695068+00:00,8.38888888888889,5.811111111111112,1008.19,0.92,16.0034,light rain,rain,test_sarima_hourly +2025-02-06 21:58:33.999695068+00:00,8.538888888888888,5.8500000000000005,1008.2,0.91,17.2753,light rain,rain,test_sarima_hourly +2025-02-06 22:58:29.053695068+00:00,8.694444444444445,5.972222222222222,1008.35,0.9,17.838800000000003,light rain,rain,test_sarima_hourly +2025-02-06 23:58:29.755695068+00:00,8.816666666666666,6.238888888888887,1008.48,0.9,16.888900000000003,light rain,rain,test_sarima_hourly +2025-02-07 00:58:29.545695068+00:00,8.877777777777775,6.038888888888888,1008.79,0.93,19.4005,light rain,rain,test_sarima_hourly +2025-02-07 01:58:33.213695068+00:00,8.966666666666667,6.044444444444446,1009.06,0.93,20.4309,light rain,rain,test_sarima_hourly +2025-02-07 02:58:32.154695068+00:00,9.555555555555555,6.772222222222221,1009.47,0.91,20.6563,light rain,rain,test_sarima_hourly +2025-02-07 03:58:28.064695068+00:00,9.633333333333336,6.788888888888888,1009.87,0.91,21.4291,light rain,rain,test_sarima_hourly +2025-02-07 04:58:34.368695068+00:00,9.627777777777776,6.833333333333332,1010.35,0.91,20.9461,light rain,rain,test_sarima_hourly +2025-02-07 05:58:35.330695068+00:00,9.7,6.961111111111112,1010.86,0.9,20.5275,light rain,rain,test_sarima_hourly +2025-02-07 06:58:31.044695068+00:00,9.205555555555556,6.522222222222223,1011.5,0.9,18.724300000000003,light rain,rain,test_sarima_hourly +2025-02-07 07:58:32.859695068+00:00,9.094444444444443,6.3166666666666655,1012.21,0.9,19.3361,light rain,rain,test_sarima_hourly +2025-02-07 08:58:31.228695068+00:00,8.838888888888887,5.922222222222221,1012.83,0.87,20.0606,light rain,rain,test_sarima_hourly +2025-02-07 09:58:30.975695068+00:00,8.333333333333334,5.3,1013.51,0.87,19.8835,light rain,rain,test_sarima_hourly +2025-02-07 10:58:34.975695068+00:00,7.844444444444444,4.938888888888889,1014.2,0.88,17.6295,drizzle,rain,test_sarima_hourly +2025-02-07 11:58:30.059695068+00:00,7.416666666666667,4.43888888888889,1014.84,0.88,17.3236,mostly cloudy,rain,test_sarima_hourly +2025-02-07 12:58:34.012695068+00:00,7.494444444444446,4.566666666666666,1015.29,0.89,17.1304,mostly cloudy,rain,test_sarima_hourly +2025-02-07 13:58:36.660695068+00:00,7.083333333333333,4.583333333333333,1015.94,0.92,13.3308,mostly cloudy,,test_sarima_hourly +2025-02-07 14:58:36.430695068+00:00,7.1000000000000005,4.200000000000001,1016.3,0.91,16.1322,partly cloudy,,test_sarima_hourly +2025-02-07 15:58:34.594695068+00:00,6.977777777777779,4.205555555555556,1016.65,0.92,14.973000000000004,partly cloudy,,test_sarima_hourly +2025-02-07 16:58:31.045695068+00:00,6.855555555555558,4.100000000000001,1017.03,0.92,14.6832,partly cloudy,,test_sarima_hourly +2025-02-07 17:58:30.332695068+00:00,6.672222222222221,3.9833333333333343,1017.49,0.94,13.9587,partly cloudy,,test_sarima_hourly +2025-02-07 18:58:28.904695068+00:00,6.872222222222221,4.305555555555555,1017.86,0.93,13.4435,partly cloudy,,test_sarima_hourly +2025-02-07 19:58:29.255695068+00:00,7.011111111111109,4.622222222222223,1018.26,0.94,12.4936,partly cloudy,,test_sarima_hourly +2025-02-07 20:58:30.103695068+00:00,8.28888888888889,5.994444444444444,1018.75,0.86,13.7333,clear,,test_sarima_hourly +2025-02-07 21:58:32.454695068+00:00,9.2,7.077777777777779,1019.2,0.82,13.9426,clear,,test_sarima_hourly +2025-02-07 22:58:28.971695068+00:00,10.488888888888887,10.488888888888887,1019.68,0.75,13.2503,partly cloudy,,test_sarima_hourly +2025-02-07 23:58:35.546695068+00:00,11.35,11.35,1019.95,0.71,13.1698,partly cloudy,,test_sarima_hourly +2025-02-08 00:58:32.940695068+00:00,11.927777777777775,11.927777777777775,1019.87,0.67,11.7691,partly cloudy,,test_sarima_hourly +2025-02-08 01:58:32.519695068+00:00,12.244444444444444,12.244444444444444,1020.08,0.64,10.4167,partly cloudy,,test_sarima_hourly +2025-02-08 02:58:36.212695068+00:00,12.233333333333336,12.233333333333336,1020.24,0.65,8.4042,mostly cloudy,,test_sarima_hourly +2025-02-08 03:58:32.853695068+00:00,11.983333333333333,11.983333333333333,1020.32,0.68,5.2486,mostly cloudy,,test_sarima_hourly +2025-02-08 04:58:30.555695068+00:00,11.57222222222222,11.57222222222222,1020.65,0.66,3.0751,mostly cloudy,,test_sarima_hourly +2025-02-08 05:58:36.408695068+00:00,9.944444444444445,9.944444444444445,1020.95,0.77,4.186000000000001,mostly cloudy,,test_sarima_hourly +2025-02-08 06:58:32.650695068+00:00,9.005555555555556,8.305555555555557,1021.32,0.82,6.1341,mostly cloudy,,test_sarima_hourly +2025-02-08 07:58:34.693695068+00:00,8.083333333333332,6.949999999999999,1021.57,0.82,7.228900000000001,mostly cloudy,,test_sarima_hourly +2025-02-08 08:58:35.615695068+00:00,7.477777777777779,6.3166666666666655,1021.67,0.84,6.9552000000000005,foggy,,test_sarima_hourly +2025-02-08 09:58:33.914695068+00:00,6.666666666666667,5.466666666666669,1021.9,0.86,6.6332,foggy,,test_sarima_hourly +2025-02-08 10:58:29.269695068+00:00,5.999999999999998,4.922222222222222,1022.19,0.86,5.892600000000001,foggy,,test_sarima_hourly +2025-02-08 11:58:35.704695068+00:00,5.372222222222224,4.094444444444443,1022.24,0.88,6.2146,foggy,,test_sarima_hourly +2025-02-08 12:58:32.597695068+00:00,4.811111111111109,3.4777777777777765,1022.55,0.91,6.1502,foggy,,test_sarima_hourly +2025-02-08 13:58:28.515695068+00:00,4.366666666666666,3.0277777777777795,1022.71,0.9,5.957000000000001,foggy,,test_sarima_hourly +2025-02-08 14:58:34.088695068+00:00,4.122222222222224,2.9111111111111123,1022.79,0.91,5.490100000000001,foggy,,test_sarima_hourly +2025-02-08 15:58:36.543695068+00:00,4.194444444444443,2.7999999999999994,1022.69,0.93,6.0375000000000005,foggy,,test_sarima_hourly +2025-02-08 16:58:32.771695068+00:00,4.349999999999999,2.9777777777777774,1022.78,0.93,6.0375000000000005,mostly cloudy,,test_sarima_hourly +2025-02-08 17:58:33.660695068+00:00,4.749999999999998,3.011111111111112,1022.86,0.9,7.438200000000001,mostly cloudy,,test_sarima_hourly +2025-02-08 18:58:34.031695068+00:00,4.916666666666668,3.433333333333333,1022.88,0.93,6.6654,foggy,,test_sarima_hourly +2025-02-08 19:58:28.887695068+00:00,5.872222222222223,4.355555555555558,1023.09,0.92,7.293300000000001,foggy,,test_sarima_hourly +2025-02-08 20:58:28.230695068+00:00,7.122222222222222,5.5777777777777775,1023.25,0.88,8.2754,foggy,,test_sarima_hourly +2025-02-08 21:58:30.856695068+00:00,8.81111111111111,7.088888888888888,1023.28,0.83,10.8031,mostly cloudy,,test_sarima_hourly +2025-02-08 22:58:29.937695068+00:00,10.711111111111112,10.711111111111112,1023.17,0.73,11.2861,mostly cloudy,,test_sarima_hourly +2025-02-08 23:58:30.483695068+00:00,12.383333333333333,12.383333333333333,1023.22,0.68,12.2521,mostly cloudy,,test_sarima_hourly +2025-02-09 00:58:29.839695068+00:00,13.594444444444443,13.594444444444443,1022.95,0.57,13.685,mostly cloudy,,test_sarima_hourly +2025-02-09 01:58:30.373695068+00:00,14.22777777777778,14.22777777777778,1022.54,0.55,14.5222,mostly cloudy,,test_sarima_hourly +2025-02-09 02:58:34.371695068+00:00,13.883333333333336,13.883333333333336,1022.13,0.59,14.2324,mostly cloudy,,test_sarima_hourly +2025-02-09 03:58:32.210695068+00:00,13.616666666666664,13.616666666666664,1021.55,0.6,16.8245,mostly cloudy,,test_sarima_hourly +2025-02-09 04:58:37.227695068+00:00,12.82222222222222,12.82222222222222,1020.92,0.63,14.860300000000002,mostly cloudy,,test_sarima_hourly +2025-02-09 05:58:32.029695068+00:00,11.988888888888887,11.988888888888887,1020.79,0.67,12.558,mostly cloudy,,test_sarima_hourly +2025-02-09 06:58:34.487695068+00:00,10.883333333333336,10.883333333333336,1020.97,0.72,12.1716,mostly cloudy,,test_sarima_hourly +2025-02-09 07:58:28.931695068+00:00,10.0,8.338888888888887,1020.81,0.76,11.914,mostly cloudy,,test_sarima_hourly +2025-02-09 08:58:31.057695068+00:00,9.761111111111113,8.077777777777776,1020.57,0.77,11.753,mostly cloudy,,test_sarima_hourly +2025-02-09 09:58:30.984695068+00:00,9.67222222222222,7.944444444444443,1020.42,0.75,11.8979,mostly cloudy,,test_sarima_hourly +2025-02-09 10:58:31.018695068+00:00,9.4,7.466666666666665,1020.09,0.77,12.9605,mostly cloudy,,test_sarima_hourly +2025-02-09 11:58:28.670695068+00:00,9.355555555555558,7.427777777777777,1019.89,0.77,12.8478,mostly cloudy,,test_sarima_hourly +2025-02-09 12:58:36.621695068+00:00,9.055555555555554,7.23888888888889,1019.69,0.77,11.640300000000002,mostly cloudy,,test_sarima_hourly +2025-02-09 13:58:29.019695068+00:00,8.72777777777778,7.055555555555557,1019.43,0.78,10.3845,overcast,,test_sarima_hourly +2025-02-09 14:58:30.193695068+00:00,8.333333333333334,6.405555555555556,1019.13,0.79,11.3988,overcast,,test_sarima_hourly +2025-02-09 15:58:33.567695068+00:00,8.299999999999999,6.105555555555557,1018.71,0.8,13.0571,mostly cloudy,,test_sarima_hourly +2025-02-09 16:58:31.405695068+00:00,8.555555555555555,6.527777777777778,1018.78,0.79,12.3165,mostly cloudy,,test_sarima_hourly +2025-02-09 17:58:31.684695068+00:00,8.244444444444447,5.9611111111111095,1018.59,0.8,13.5562,mostly cloudy,,test_sarima_hourly +2025-02-09 18:58:31.928695068+00:00,7.938888888888887,5.844444444444446,1018.83,0.83,11.9462,mostly cloudy,,test_sarima_hourly +2025-02-09 19:58:33.864695068+00:00,8.68888888888889,6.705555555555556,1019.13,0.8,12.2038,mostly cloudy,,test_sarima_hourly +2025-02-09 20:58:28.011695068+00:00,10.050000000000002,10.050000000000002,1019.17,0.75,13.524,mostly cloudy,,test_sarima_hourly +2025-02-09 21:58:37.003695068+00:00,11.122222222222224,11.122222222222224,1019.03,0.71,17.919300000000003,mostly cloudy,,test_sarima_hourly +2025-02-09 22:58:31.552695068+00:00,12.355555555555558,12.355555555555558,1018.71,0.67,18.1447,overcast,,test_sarima_hourly +2025-02-09 23:58:28.189695068+00:00,14.016666666666664,14.016666666666664,1018.32,0.62,18.0159,overcast,,test_sarima_hourly +2025-02-10 00:58:36.591695068+00:00,15.261111111111113,15.261111111111113,1018.22,0.58,15.8907,overcast,,test_sarima_hourly +2025-02-10 01:58:37.066695068+00:00,16.13888888888889,16.13888888888889,1018.06,0.57,12.9766,overcast,,test_sarima_hourly +2025-02-10 02:58:31.459695068+00:00,16.288888888888888,16.288888888888888,1018.13,0.58,10.6582,overcast,rain,test_sarima_hourly +2025-02-10 03:58:31.778695068+00:00,16.08888888888889,16.08888888888889,1017.5,0.6,8.211,mostly cloudy,rain,test_sarima_hourly +2025-02-10 04:58:32.128695068+00:00,15.344444444444443,15.344444444444443,1017.74,0.66,5.8604,mostly cloudy,rain,test_sarima_hourly +2025-02-10 05:58:29.555695068+00:00,14.166666666666666,14.166666666666666,1018.37,0.76,7.7441,mostly cloudy,rain,test_sarima_hourly +2025-02-10 06:58:36.316695068+00:00,13.244444444444447,13.244444444444447,1018.63,0.8,8.1788,drizzle,rain,test_sarima_hourly +2025-02-10 07:58:30.107695068+00:00,12.683333333333332,12.683333333333332,1018.28,0.82,9.9498,drizzle,rain,test_sarima_hourly +2025-02-10 08:58:34.435695068+00:00,12.205555555555556,12.205555555555556,1018.57,0.85,10.7387,drizzle,rain,test_sarima_hourly +2025-02-10 09:58:36.852695068+00:00,12.005555555555556,12.005555555555556,1018.44,0.86,10.8836,drizzle,rain,test_sarima_hourly +2025-02-10 10:58:35.873695068+00:00,11.761111111111113,11.761111111111113,1018.1,0.86,10.8836,drizzle,rain,test_sarima_hourly +2025-02-10 11:58:29.204695068+00:00,11.544444444444444,11.544444444444444,1018.53,0.86,7.357700000000001,drizzle,rain,test_sarima_hourly +2025-02-10 12:58:36.660695068+00:00,11.416666666666664,11.416666666666664,1018.73,0.89,4.4114,drizzle,rain,test_sarima_hourly +2025-02-10 13:58:34.987695068+00:00,11.394444444444442,11.394444444444442,1018.81,0.89,5.6028,drizzle,rain,test_sarima_hourly +2025-02-10 14:58:28.548695068+00:00,11.283333333333337,11.283333333333337,1018.67,0.9,3.4132,drizzle,rain,test_sarima_hourly +2025-02-10 15:58:28.594695068+00:00,10.911111111111111,10.911111111111111,1018.83,0.91,3.5420000000000007,drizzle,rain,test_sarima_hourly +2025-02-10 16:58:37.448695068+00:00,10.816666666666666,10.816666666666666,1018.92,0.91,4.5724,drizzle,rain,test_sarima_hourly +2025-02-10 17:58:35.839695068+00:00,10.994444444444444,10.994444444444444,1019.14,0.91,2.0286,drizzle,rain,test_sarima_hourly +2025-02-10 18:58:34.636695068+00:00,10.97222222222222,10.97222222222222,1019.26,0.91,2.2701,drizzle,rain,test_sarima_hourly +2025-02-10 19:58:36.727695068+00:00,11.099999999999998,11.099999999999998,1019.61,0.93,1.7388,drizzle,rain,test_sarima_hourly +2025-02-10 20:58:34.703695068+00:00,11.41111111111111,11.41111111111111,1019.95,0.93,2.4633000000000003,drizzle,rain,test_sarima_hourly +2025-02-10 21:58:34.710695068+00:00,12.349999999999998,12.349999999999998,1020.29,0.88,3.4937,drizzle,rain,test_sarima_hourly +2025-02-10 22:58:28.243695068+00:00,12.97222222222222,12.97222222222222,1020.68,0.87,5.216400000000001,drizzle,rain,test_sarima_hourly +2025-02-10 23:58:33.259695068+00:00,13.605555555555558,13.605555555555558,1020.96,0.88,6.6493,foggy,rain,test_sarima_hourly +2025-02-11 00:58:32.875695068+00:00,14.1,14.1,1021.51,0.88,6.923,overcast,rain,test_sarima_hourly +2025-02-11 01:58:37.302695068+00:00,14.688888888888888,14.688888888888888,1021.37,0.83,8.6618,overcast,rain,test_sarima_hourly +2025-02-11 02:58:30.330695068+00:00,14.81111111111111,14.81111111111111,1021.51,0.81,10.787,overcast,rain,test_sarima_hourly +2025-02-11 03:58:30.269695068+00:00,14.305555555555555,14.305555555555555,1021.72,0.83,8.9999,mostly cloudy,rain,test_sarima_hourly +2025-02-11 04:58:35.280695068+00:00,14.000000000000002,14.000000000000002,1021.98,0.84,8.5652,mostly cloudy,rain,test_sarima_hourly +2025-02-11 05:58:31.550695068+00:00,13.166666666666668,13.166666666666668,1022.37,0.88,4.5563,mostly cloudy,rain,test_sarima_hourly +2025-02-11 06:58:31.533695068+00:00,12.683333333333332,12.683333333333332,1022.85,0.91,4.1699,mostly cloudy,rain,test_sarima_hourly +2025-02-11 07:58:30.693695068+00:00,12.283333333333331,12.283333333333331,1023.36,0.93,4.1055,mostly cloudy,rain,test_sarima_hourly +2025-02-11 08:58:35.253695068+00:00,12.011111111111113,12.011111111111113,1023.82,0.94,5.0232,mostly cloudy,rain,test_sarima_hourly +2025-02-11 09:58:29.905695068+00:00,11.755555555555553,11.755555555555553,1024.24,0.93,8.903300000000002,mostly cloudy,rain,test_sarima_hourly +2025-02-11 10:58:37.819695068+00:00,11.433333333333332,11.433333333333332,1024.66,0.95,7.1967,foggy,rain,test_sarima_hourly +2025-02-11 11:58:34.485695068+00:00,11.27222222222222,11.27222222222222,1025.02,0.95,6.166300000000001,foggy,rain,test_sarima_hourly +2025-02-11 12:58:35.373695068+00:00,11.155555555555557,11.155555555555557,1025.52,0.95,5.8604,foggy,rain,test_sarima_hourly +2025-02-11 13:58:37.396695068+00:00,11.033333333333331,11.033333333333331,1025.91,0.94,6.1985,overcast,rain,test_sarima_hourly +2025-02-11 14:58:34.671695068+00:00,10.983333333333336,10.983333333333336,1026.15,0.93,6.6654,overcast,rain,test_sarima_hourly +2025-02-11 15:58:28.342695068+00:00,10.85,10.85,1026.28,0.94,6.4078,overcast,rain,test_sarima_hourly +2025-02-11 16:58:30.961695068+00:00,10.838888888888889,10.838888888888889,1026.59,0.94,6.5688,overcast,rain,test_sarima_hourly +2025-02-11 17:58:34.294695068+00:00,10.761111111111113,10.761111111111113,1026.89,0.9,9.2092,overcast,rain,test_sarima_hourly +2025-02-11 18:58:35.618695068+00:00,10.438888888888888,10.438888888888888,1027.32,0.9,11.7208,overcast,rain,test_sarima_hourly +2025-02-11 19:58:32.347695068+00:00,10.494444444444444,10.494444444444444,1027.73,0.89,13.2664,overcast,rain,test_sarima_hourly +2025-02-11 20:58:30.246695068+00:00,10.605555555555558,10.605555555555558,1028.24,0.88,16.4864,overcast,rain,test_sarima_hourly +2025-02-11 21:58:36.214695068+00:00,11.038888888888888,11.038888888888888,1028.72,0.82,17.2753,overcast,rain,test_sarima_hourly +2025-02-11 22:58:28.591695068+00:00,11.144444444444446,11.144444444444446,1029.2,0.79,18.724300000000003,overcast,rain,test_sarima_hourly +2025-02-11 23:58:28.574695068+00:00,11.794444444444444,11.794444444444444,1029.43,0.75,20.2538,mostly cloudy,rain,test_sarima_hourly +2025-02-12 00:58:33.957695068+00:00,12.011111111111113,12.011111111111113,1029.41,0.73,19.964,mostly cloudy,rain,test_sarima_hourly +2025-02-12 01:58:29.105695068+00:00,12.349999999999998,12.349999999999998,1029.36,0.71,20.752900000000004,mostly cloudy,rain,test_sarima_hourly +2025-02-12 02:58:34.181695068+00:00,12.444444444444445,12.444444444444445,1029.32,0.69,20.3987,mostly cloudy,rain,test_sarima_hourly +2025-02-12 03:58:36.502695068+00:00,12.233333333333336,12.233333333333336,1029.12,0.7,20.1089,mostly cloudy,,test_sarima_hourly +2025-02-12 04:58:28.082695068+00:00,12.088888888888889,12.088888888888889,1028.96,0.7,19.159,mostly cloudy,,test_sarima_hourly +2025-02-12 05:58:34.833695068+00:00,11.466666666666669,11.466666666666669,1029.04,0.69,19.1912,mostly cloudy,,test_sarima_hourly +2025-02-12 06:58:35.186695068+00:00,10.894444444444444,10.894444444444444,1029.29,0.72,20.2538,mostly cloudy,,test_sarima_hourly +2025-02-12 07:58:32.783695068+00:00,10.483333333333333,10.483333333333333,1029.37,0.69,19.9479,mostly cloudy,,test_sarima_hourly +2025-02-12 08:58:30.467695068+00:00,9.855555555555558,7.177777777777779,1029.29,0.72,20.2699,mostly cloudy,,test_sarima_hourly +2025-02-12 09:58:29.558695068+00:00,9.394444444444442,6.527777777777778,1029.23,0.72,20.9944,mostly cloudy,,test_sarima_hourly +2025-02-12 10:58:28.262695068+00:00,8.872222222222222,6.066666666666667,1029.05,0.74,19.0302,mostly cloudy,,test_sarima_hourly +2025-02-12 11:58:32.796695068+00:00,8.461111111111109,5.727777777777779,1028.79,0.76,17.4685,mostly cloudy,,test_sarima_hourly +2025-02-12 12:58:37.503695068+00:00,8.127777777777778,5.211111111111112,1028.48,0.75,18.354000000000003,mostly cloudy,,test_sarima_hourly +2025-02-12 13:58:37.710695068+00:00,7.677777777777777,5.005555555555555,1028.28,0.79,15.439900000000002,overcast,,test_sarima_hourly +2025-02-12 14:58:34.160695068+00:00,7.366666666666664,4.627777777777776,1027.99,0.79,15.3594,overcast,,test_sarima_hourly +2025-02-12 15:58:30.245695068+00:00,7.172222222222221,4.527777777777777,1027.59,0.8,14.3934,overcast,,test_sarima_hourly +2025-02-12 16:58:29.397695068+00:00,7.083333333333333,4.272222222222221,1027.18,0.8,15.439900000000002,overcast,,test_sarima_hourly +2025-02-12 17:58:29.841695068+00:00,7.227777777777776,4.522222222222222,1026.97,0.78,14.9247,overcast,,test_sarima_hourly +2025-02-12 18:58:30.992695068+00:00,7.311111111111109,4.938888888888889,1026.72,0.78,12.799500000000002,overcast,,test_sarima_hourly +2025-02-12 19:58:35.517695068+00:00,7.527777777777776,5.150000000000002,1026.56,0.8,13.1537,overcast,,test_sarima_hourly +2025-02-12 20:58:31.461695068+00:00,8.177777777777777,5.827777777777779,1026.61,0.76,13.9748,overcast,,test_sarima_hourly +2025-02-12 21:58:29.320695068+00:00,8.88888888888889,6.461111111111112,1026.52,0.73,15.778000000000002,overcast,,test_sarima_hourly +2025-02-12 22:58:35.112695068+00:00,9.961111111111112,7.650000000000002,1026.32,0.69,16.9694,overcast,,test_sarima_hourly +2025-02-12 23:58:32.147695068+00:00,11.216666666666663,11.216666666666663,1025.93,0.63,19.0302,mostly cloudy,,test_sarima_hourly +2025-02-13 00:58:28.185695068+00:00,12.105555555555554,12.105555555555554,1025.36,0.58,20.2055,mostly cloudy,,test_sarima_hourly +2025-02-13 01:58:30.972695068+00:00,12.63888888888889,12.63888888888889,1024.89,0.58,19.5937,mostly cloudy,,test_sarima_hourly +2025-02-13 02:58:34.164695068+00:00,12.677777777777775,12.677777777777775,1024.49,0.57,18.869200000000003,mostly cloudy,,test_sarima_hourly +2025-02-13 03:58:37.175695068+00:00,12.322222222222225,12.322222222222225,1024.08,0.58,17.1626,mostly cloudy,,test_sarima_hourly +2025-02-13 04:58:37.612695068+00:00,12.05,12.05,1023.71,0.62,12.1877,mostly cloudy,,test_sarima_hourly +2025-02-13 05:58:28.873695068+00:00,11.127777777777778,11.127777777777778,1023.62,0.64,9.982,mostly cloudy,,test_sarima_hourly +2025-02-13 06:58:29.529695068+00:00,10.52777777777778,10.52777777777778,1023.64,0.66,10.6743,mostly cloudy,,test_sarima_hourly +2025-02-13 07:58:37.291695068+00:00,10.066666666666666,10.066666666666666,1023.75,0.67,10.5616,mostly cloudy,,test_sarima_hourly +2025-02-13 08:58:32.682695068+00:00,9.57222222222222,8.055555555555555,1023.57,0.66,10.4811,mostly cloudy,,test_sarima_hourly +2025-02-13 09:58:34.029695068+00:00,9.41111111111111,7.650000000000002,1023.73,0.65,11.7852,overcast,,test_sarima_hourly +2025-02-13 10:58:33.371695068+00:00,9.07777777777778,7.605555555555554,1023.64,0.67,9.66,overcast,,test_sarima_hourly +2025-02-13 11:58:31.296695068+00:00,7.855555555555556,6.199999999999998,1023.5,0.7,9.3863,overcast,,test_sarima_hourly +2025-02-13 12:58:35.140695068+00:00,7.472222222222224,6.3611111111111125,1023.29,0.7,6.7620000000000005,overcast,,test_sarima_hourly +2025-02-13 13:58:36.505695068+00:00,6.966666666666666,6.205555555555557,1023.26,0.75,5.3452,overcast,rain,test_sarima_hourly +2025-02-13 14:58:30.988695068+00:00,6.9222222222222225,6.194444444444444,1023.06,0.72,5.2325,overcast,rain,test_sarima_hourly +2025-02-13 15:58:33.597695068+00:00,6.961111111111112,6.194444444444444,1022.88,0.73,5.361300000000001,overcast,,test_sarima_hourly +2025-02-13 16:58:37.772695068+00:00,6.944444444444445,6.205555555555557,1022.71,0.76,5.2808,overcast,,test_sarima_hourly +2025-02-13 17:58:28.281695068+00:00,7.161111111111111,6.5388888888888905,1022.54,0.74,5.0232,overcast,,test_sarima_hourly +2025-02-13 18:58:29.467695068+00:00,7.23888888888889,7.23888888888889,1022.6,0.79,4.7656,overcast,,test_sarima_hourly +2025-02-13 19:58:34.106695068+00:00,7.844444444444444,6.627777777777777,1022.56,0.75,7.422100000000001,overcast,,test_sarima_hourly +2025-02-13 20:58:34.101695068+00:00,8.383333333333335,6.91111111111111,1022.77,0.77,8.9838,overcast,,test_sarima_hourly +2025-02-13 21:58:28.318695068+00:00,8.894444444444442,7.550000000000002,1022.74,0.76,8.8067,overcast,,test_sarima_hourly +2025-02-13 22:58:36.737695068+00:00,9.405555555555557,7.916666666666667,1022.87,0.75,10.0786,overcast,,test_sarima_hourly +2025-02-13 23:58:31.194695068+00:00,10.4,10.4,1022.81,0.74,11.253900000000002,overcast,,test_sarima_hourly +2025-02-14 00:58:28.456695068+00:00,11.355555555555554,11.355555555555554,1022.39,0.71,12.075,overcast,,test_sarima_hourly +2025-02-14 01:58:35.303695068+00:00,11.683333333333334,11.683333333333334,1022.09,0.7,12.9927,overcast,,test_sarima_hourly +2025-02-14 02:58:31.256695068+00:00,11.86111111111111,11.86111111111111,1021.73,0.7,12.6385,overcast,,test_sarima_hourly +2025-02-14 03:58:28.963695068+00:00,11.833333333333332,11.833333333333332,1021.47,0.67,12.1877,mostly cloudy,,test_sarima_hourly +2025-02-14 04:58:28.850695068+00:00,11.583333333333334,11.583333333333334,1021.26,0.71,9.9337,overcast,,test_sarima_hourly +2025-02-14 05:58:29.774695068+00:00,11.133333333333333,11.133333333333333,1021.23,0.72,11.8174,mostly cloudy,,test_sarima_hourly +2025-02-14 06:58:31.189695068+00:00,10.194444444444445,10.194444444444445,1021.24,0.74,10.722600000000002,mostly cloudy,,test_sarima_hourly +2025-02-14 07:58:29.387695068+00:00,9.83888888888889,8.438888888888888,1021.16,0.76,10.0786,mostly cloudy,,test_sarima_hourly +2025-02-14 08:58:34.789695068+00:00,9.05,7.233333333333336,1021.07,0.79,11.640300000000002,overcast,,test_sarima_hourly +2025-02-14 09:58:36.680695068+00:00,9.066666666666666,7.211111111111109,1021.1,0.76,11.914,overcast,,test_sarima_hourly +2025-02-14 10:58:36.852695068+00:00,8.505555555555556,6.388888888888889,1020.89,0.77,12.8478,overcast,,test_sarima_hourly +2025-01-27 11:58:30.766695068+00:00,13.85,13.85,1015.3,0.78,6.118,partly cloudy,rain,test_sarima_hourly +2025-01-27 12:58:28.844695068+00:00,13.22222222222222,13.22222222222222,1015.29,0.81,6.279,clear,rain,test_sarima_hourly +2025-01-27 13:58:30.222695068+00:00,12.344444444444443,12.344444444444443,1015.55,0.86,5.2486,clear,rain,test_sarima_hourly +2025-01-27 14:58:37.622695068+00:00,11.65,11.65,1015.76,0.86,6.295100000000001,clear,rain,test_sarima_hourly +2025-01-27 15:58:28.209695068+00:00,12.066666666666666,12.066666666666666,1015.38,0.84,10.8997,clear,rain,test_sarima_hourly +2025-01-27 16:58:31.630695068+00:00,11.066666666666668,11.066666666666668,1015.07,0.87,9.66,clear,rain,test_sarima_hourly +2025-01-27 17:58:34.194695068+00:00,9.97777777777778,8.777777777777777,1015.16,0.93,9.1126,partly cloudy,rain,test_sarima_hourly +2025-01-27 18:58:31.374695068+00:00,10.994444444444444,10.994444444444444,1015.3,0.86,10.7709,partly cloudy,rain,test_sarima_hourly +2025-01-27 19:58:28.051695068+00:00,12.622222222222222,12.622222222222222,1015.76,0.85,7.711900000000001,partly cloudy,rain,test_sarima_hourly +2025-01-27 20:58:35.832695068+00:00,16.13888888888889,16.13888888888889,1015.78,0.72,7.953400000000001,partly cloudy,rain,test_sarima_hourly +2025-01-27 21:58:31.404695068+00:00,17.922222222222224,17.922222222222224,1015.68,0.69,9.6117,mostly cloudy,rain,test_sarima_hourly +2025-01-27 22:58:36.297695068+00:00,21.988888888888887,21.988888888888887,1015.63,0.53,7.728,mostly cloudy,rain,test_sarima_hourly +2025-01-27 23:58:36.132695068+00:00,23.727777777777774,23.727777777777774,1015.31,0.46,8.903300000000002,mostly cloudy,rain,test_sarima_hourly +2025-01-28 00:58:35.049695068+00:00,24.88333333333334,24.88333333333334,1014.72,0.42,10.8031,mostly cloudy,rain,test_sarima_hourly +2025-01-28 01:58:29.862695068+00:00,24.86111111111111,24.86111111111111,1014.16,0.39,9.5634,mostly cloudy,rain,test_sarima_hourly +2025-01-28 02:58:28.783695068+00:00,24.822222222222223,24.822222222222223,1013.74,0.37,12.4775,mostly cloudy,rain,test_sarima_hourly +2025-01-28 03:58:32.478695068+00:00,24.75,24.75,1013.07,0.4,3.1556,mostly cloudy,rain,test_sarima_hourly +2025-01-28 04:58:31.010695068+00:00,24.48333333333333,24.48333333333333,1012.84,0.43,1.3524,mostly cloudy,rain,test_sarima_hourly +2025-01-28 05:58:30.760695068+00:00,21.811111111111114,21.811111111111114,1012.92,0.55,12.236,mostly cloudy,rain,test_sarima_hourly +2025-01-28 06:58:32.105695068+00:00,19.633333333333336,19.633333333333336,1013.51,0.64,21.2198,mostly cloudy,rain,test_sarima_hourly +2025-01-28 07:58:33.500695068+00:00,17.25,17.25,1014.49,0.81,15.423800000000002,overcast,rain,test_sarima_hourly +2025-01-28 08:58:37.085695068+00:00,16.06666666666667,16.06666666666667,1015.13,0.88,14.2002,overcast,rain,test_sarima_hourly +2025-01-28 09:58:28.458695068+00:00,15.511111111111113,15.511111111111113,1015.22,0.93,11.125100000000002,overcast,rain,test_sarima_hourly +2025-01-28 10:58:28.689695068+00:00,15.5,15.5,1015.13,0.93,6.2146,overcast,rain,test_sarima_hourly +2025-02-14 11:58:30.177695068+00:00,7.9944444444444445,5.505555555555554,1020.55,0.75,14.651,overcast,,test_sarima_hourly +2025-02-14 12:58:33.801695068+00:00,7.105555555555555,4.349999999999999,1020.21,0.78,15.0535,mostly cloudy,,test_sarima_hourly +2025-02-14 13:58:37.141695068+00:00,6.333333333333332,3.4999999999999982,1019.86,0.79,14.425600000000005,mostly cloudy,,test_sarima_hourly +2025-02-14 14:58:37.062695068+00:00,5.855555555555555,2.794444444444445,1019.5,0.8,15.166200000000002,mostly cloudy,,test_sarima_hourly +2025-02-14 15:58:30.091695068+00:00,5.350000000000001,2.6999999999999997,1019.19,0.81,11.9945,mostly cloudy,,test_sarima_hourly +2025-02-14 16:58:35.764695068+00:00,5.344444444444443,2.6111111111111125,1018.7,0.83,12.4453,mostly cloudy,,test_sarima_hourly +2025-02-14 17:58:32.695695068+00:00,5.238888888888889,2.894444444444445,1018.38,0.86,10.304000000000002,mostly cloudy,,test_sarima_hourly +2025-02-14 18:58:37.408695068+00:00,5.2888888888888905,2.361111111111111,1018.09,0.85,13.4918,mostly cloudy,,test_sarima_hourly +2025-02-14 19:58:37.179695068+00:00,5.933333333333334,3.138888888888888,1018.0,0.82,13.5562,mostly cloudy,,test_sarima_hourly +2025-02-14 20:58:29.123695068+00:00,7.388888888888888,4.7,1017.93,0.78,15.0857,partly cloudy,,test_sarima_hourly +2025-02-14 21:58:32.859695068+00:00,9.377777777777778,6.494444444444444,1017.65,0.69,21.1715,partly cloudy,,test_sarima_hourly +2025-02-14 22:58:30.637695068+00:00,11.255555555555553,11.255555555555553,1017.14,0.65,24.3593,partly cloudy,,test_sarima_hourly +2025-02-14 23:58:37.159695068+00:00,13.15,13.15,1016.45,0.63,25.5024,partly cloudy,,test_sarima_hourly +2025-02-15 00:58:29.971695068+00:00,14.644444444444446,14.644444444444446,1015.66,0.6,24.5042,partly cloudy,,test_sarima_hourly +2025-02-15 01:58:29.105695068+00:00,15.650000000000002,15.650000000000002,1015.06,0.59,22.7332,mostly cloudy,,test_sarima_hourly +2025-02-15 02:58:35.745695068+00:00,15.738888888888887,15.738888888888887,1014.59,0.59,23.4416,mostly cloudy,,test_sarima_hourly +2025-02-15 03:58:30.749695068+00:00,15.177777777777775,15.177777777777775,1014.52,0.61,21.7833,mostly cloudy,,test_sarima_hourly +2025-02-15 04:58:33.561695068+00:00,14.266666666666667,14.266666666666667,1014.53,0.65,17.4524,mostly cloudy,,test_sarima_hourly +2025-02-15 05:58:36.885695068+00:00,13.22222222222222,13.22222222222222,1014.72,0.7,16.5669,mostly cloudy,,test_sarima_hourly +2025-02-15 06:58:32.032695068+00:00,12.366666666666664,12.366666666666664,1014.96,0.72,15.939000000000002,mostly cloudy,,test_sarima_hourly +2025-02-15 07:58:33.484695068+00:00,11.433333333333332,11.433333333333332,1015.23,0.77,15.150100000000002,mostly cloudy,rain,test_sarima_hourly +2025-02-15 08:58:32.404695068+00:00,10.58888888888889,10.58888888888889,1015.43,0.81,14.2485,mostly cloudy,rain,test_sarima_hourly +2025-02-15 09:58:37.747695068+00:00,10.32777777777778,10.32777777777778,1015.66,0.81,18.064200000000003,overcast,rain,test_sarima_hourly +2025-02-15 10:58:36.310695068+00:00,10.02222222222222,10.02222222222222,1015.83,0.82,19.2556,drizzle,rain,test_sarima_hourly +2025-02-15 11:58:32.907695068+00:00,9.494444444444447,7.216666666666669,1015.75,0.84,15.7458,drizzle,rain,test_sarima_hourly +2025-02-15 12:58:36.867695068+00:00,9.122222222222224,7.000000000000001,1015.79,0.84,13.8782,drizzle,rain,test_sarima_hourly +2025-02-15 13:58:28.996695068+00:00,8.72777777777778,6.916666666666668,1015.7,0.87,11.1734,light rain,rain,test_sarima_hourly +2025-02-15 14:58:28.146695068+00:00,8.338888888888887,6.588888888888889,1015.52,0.89,10.4006,drizzle,rain,test_sarima_hourly +2025-02-15 15:58:29.370695068+00:00,8.050000000000002,6.061111111111109,1015.03,0.92,11.4149,drizzle,rain,test_sarima_hourly +2025-02-15 16:58:28.395695068+00:00,8.038888888888888,6.199999999999998,1014.86,0.93,10.5616,drizzle,rain,test_sarima_hourly +2025-02-15 17:58:29.809695068+00:00,8.333333333333334,6.133333333333333,1014.46,0.91,13.1537,drizzle,rain,test_sarima_hourly +2025-02-15 18:58:32.823695068+00:00,8.555555555555555,6.400000000000002,1014.38,0.91,13.1859,drizzle,rain,test_sarima_hourly +2025-02-15 19:58:34.644695068+00:00,8.872222222222222,7.027777777777777,1014.38,0.9,11.6081,light rain,rain,test_sarima_hourly +2025-02-15 20:58:35.185695068+00:00,9.666666666666666,7.438888888888889,1014.46,0.86,15.665300000000002,light rain,rain,test_sarima_hourly +2025-02-15 21:58:30.224695068+00:00,10.36111111111111,10.36111111111111,1014.43,0.85,18.4345,light rain,rain,test_sarima_hourly +2025-02-15 22:58:36.054695068+00:00,11.25,11.25,1014.36,0.85,16.744000000000003,light rain,rain,test_sarima_hourly +2025-02-15 23:58:32.289695068+00:00,11.155555555555557,11.155555555555557,1014.23,0.88,16.3898,light rain,rain,test_sarima_hourly +2025-02-16 00:58:36.126695068+00:00,11.855555555555558,11.855555555555558,1013.81,0.86,18.998,light rain,rain,test_sarima_hourly +2025-02-16 01:58:36.466695068+00:00,11.583333333333334,11.583333333333334,1013.53,0.9,16.1,light rain,rain,test_sarima_hourly +2025-02-16 02:58:29.930695068+00:00,11.644444444444446,11.644444444444446,1013.4,0.9,14.296800000000005,light rain,rain,test_sarima_hourly +2025-02-16 03:58:33.614695068+00:00,12.0,12.0,1013.34,0.87,13.8299,light rain,rain,test_sarima_hourly +2025-02-16 04:58:33.991695068+00:00,11.894444444444442,11.894444444444442,1013.45,0.87,10.8675,light rain,rain,test_sarima_hourly +2025-02-16 05:58:35.331695068+00:00,11.244444444444447,11.244444444444447,1013.61,0.9,8.0983,light rain,rain,test_sarima_hourly +2025-02-16 06:58:32.752695068+00:00,11.511111111111113,11.511111111111113,1013.66,0.89,7.760200000000001,light rain,rain,test_sarima_hourly +2025-02-16 07:58:30.061695068+00:00,10.844444444444449,10.844444444444449,1013.85,0.93,5.9409,light rain,rain,test_sarima_hourly +2025-02-16 08:58:30.230695068+00:00,10.56111111111111,10.56111111111111,1013.92,0.94,2.8497000000000003,light rain,rain,test_sarima_hourly +2025-02-16 09:58:31.873695068+00:00,10.233333333333334,10.233333333333334,1014.03,0.96,1.8998,light rain,rain,test_sarima_hourly +2025-02-16 10:58:37.753695068+00:00,9.738888888888887,9.738888888888887,1014.1,0.96,4.2826,rain,rain,test_sarima_hourly +2025-02-16 11:58:33.231695068+00:00,9.288888888888888,8.244444444444447,1014.09,0.95,7.728,rain,rain,test_sarima_hourly +2025-02-16 12:58:34.810695068+00:00,8.738888888888887,6.994444444444446,1014.12,0.95,10.8192,rain,rain,test_sarima_hourly +2025-02-16 13:58:32.513695068+00:00,8.205555555555557,6.105555555555557,1014.19,0.95,12.2843,rain,rain,test_sarima_hourly +2025-02-16 14:58:31.278695068+00:00,7.88888888888889,5.727777777777779,1014.37,0.94,12.2521,light rain,rain,test_sarima_hourly +2025-02-16 15:58:34.482695068+00:00,7.449999999999998,5.044444444444443,1014.51,0.94,13.2664,light rain,rain,test_sarima_hourly +2025-02-16 16:58:28.639695068+00:00,7.233333333333336,4.988888888888887,1014.8,0.94,11.9462,light rain,rain,test_sarima_hourly +2025-02-16 17:58:37.631695068+00:00,7.088888888888888,4.588888888888888,1015.07,0.92,13.3308,light rain,rain,test_sarima_hourly +2025-02-16 18:58:30.340695068+00:00,6.81111111111111,4.266666666666667,1015.45,0.93,13.202,light rain,rain,test_sarima_hourly +2025-02-16 19:58:37.577695068+00:00,7.055555555555557,4.605555555555555,1015.97,0.91,12.9444,light rain,rain,test_sarima_hourly +2025-02-16 20:58:35.515695068+00:00,8.033333333333335,5.766666666666668,1016.63,0.88,13.1698,drizzle,rain,test_sarima_hourly +2025-02-16 21:58:35.656695068+00:00,9.661111111111111,7.772222222222224,1016.96,0.8,13.0249,partly cloudy,rain,test_sarima_hourly +2025-02-16 22:58:35.913695068+00:00,11.077777777777776,11.077777777777776,1017.3,0.73,12.397,clear,rain,test_sarima_hourly +2025-02-16 23:58:31.103695068+00:00,12.650000000000002,12.650000000000002,1017.52,0.67,11.2217,clear,,test_sarima_hourly +2025-02-17 00:58:32.302695068+00:00,13.511111111111113,13.511111111111113,1017.69,0.59,10.6099,clear,,test_sarima_hourly +2025-02-17 01:58:30.945695068+00:00,14.194444444444445,14.194444444444445,1017.81,0.54,8.2432,clear,,test_sarima_hourly +2025-02-17 02:58:31.374695068+00:00,14.000000000000002,14.000000000000002,1017.87,0.56,8.0983,clear,,test_sarima_hourly +2025-02-17 03:58:35.598695068+00:00,13.344444444444449,13.344444444444449,1018.1,0.56,5.184200000000001,clear,,test_sarima_hourly +2025-02-17 04:58:36.760695068+00:00,12.183333333333334,12.183333333333334,1018.28,0.64,2.9946,clear,,test_sarima_hourly +2025-02-17 05:58:33.073695068+00:00,10.016666666666667,10.016666666666667,1018.53,0.7,1.4168,clear,,test_sarima_hourly +2025-02-17 06:58:31.579695068+00:00,8.22777777777778,8.22777777777778,1018.97,0.77,1.0787000000000002,clear,,test_sarima_hourly +2025-02-17 07:58:34.798695068+00:00,7.194444444444446,7.194444444444446,1019.3,0.8,3.1395,clear,,test_sarima_hourly +2025-02-17 08:58:33.244695068+00:00,6.93888888888889,6.93888888888889,1019.51,0.81,4.4758,clear,,test_sarima_hourly +2025-02-17 09:58:32.232695068+00:00,6.544444444444445,5.555555555555555,1019.78,0.82,5.8604,clear,,test_sarima_hourly +2025-02-17 10:58:35.780695068+00:00,5.972222222222222,5.072222222222224,1020.01,0.83,5.3452,clear,,test_sarima_hourly +2025-02-17 11:58:27.992695068+00:00,5.3999999999999995,4.288888888888888,1019.97,0.81,5.7316,clear,,test_sarima_hourly +2025-02-17 12:58:31.774695068+00:00,4.783333333333333,3.3999999999999986,1020.02,0.84,6.279,clear,,test_sarima_hourly +2025-02-17 13:58:31.348695068+00:00,4.194444444444443,2.5333333333333345,1020.1,0.87,6.8586,foggy,,test_sarima_hourly +2025-02-17 14:58:30.143695068+00:00,3.927777777777778,2.1499999999999986,1020.07,0.9,7.1001,foggy,,test_sarima_hourly +2025-02-17 15:58:29.831695068+00:00,3.4722222222222223,1.6111111111111105,1020.0,0.92,7.1323,foggy,,test_sarima_hourly +2025-02-17 16:58:32.650695068+00:00,3.5277777777777786,1.683333333333334,1020.0,0.94,7.1001,foggy,,test_sarima_hourly +2025-02-17 17:58:34.751695068+00:00,3.7277777777777783,2.005555555555555,1020.13,0.95,6.810300000000001,foggy,,test_sarima_hourly +2025-02-17 18:58:31.670695068+00:00,4.088888888888889,2.566666666666665,1020.35,0.96,6.3756,foggy,,test_sarima_hourly +2025-02-17 19:58:31.436695068+00:00,4.8055555555555545,3.4666666666666677,1020.57,0.94,6.1502,foggy,,test_sarima_hourly +2025-02-17 20:58:35.065695068+00:00,6.199999999999998,4.977777777777778,1020.75,0.9,6.4561,foggy,,test_sarima_hourly +2025-02-17 21:58:34.335695068+00:00,8.094444444444443,7.011111111111109,1020.91,0.84,7.0357,foggy,,test_sarima_hourly +2025-02-17 22:58:36.244695068+00:00,9.888888888888888,8.983333333333334,1021.02,0.79,7.550900000000001,mostly cloudy,,test_sarima_hourly +2025-02-17 23:58:33.847695068+00:00,11.416666666666664,11.416666666666664,1021.06,0.75,7.824600000000001,mostly cloudy,,test_sarima_hourly +2025-02-18 00:58:34.643695068+00:00,12.738888888888887,12.738888888888887,1021.05,0.72,7.969500000000001,mostly cloudy,,test_sarima_hourly +2025-02-18 01:58:32.253695068+00:00,13.505555555555556,13.505555555555556,1021.01,0.71,7.969500000000001,mostly cloudy,,test_sarima_hourly +2025-02-18 02:58:30.344695068+00:00,13.533333333333331,13.533333333333331,1020.93,0.72,7.695800000000001,partly cloudy,,test_sarima_hourly +2025-02-18 03:58:30.930695068+00:00,13.105555555555558,13.105555555555558,1020.82,0.76,7.228900000000001,clear,,test_sarima_hourly +2025-02-18 04:58:30.993695068+00:00,12.538888888888888,12.538888888888888,1020.79,0.79,6.810300000000001,clear,,test_sarima_hourly +2025-02-18 05:58:37.848695068+00:00,11.694444444444445,11.694444444444445,1020.92,0.83,6.5366,clear,,test_sarima_hourly +2025-02-18 06:58:33.857695068+00:00,10.68333333333333,10.68333333333333,1021.14,0.87,6.4078,clear,,test_sarima_hourly +2025-02-18 07:58:33.850695068+00:00,9.783333333333331,9.1,1021.38,0.9,6.5366,clear,,test_sarima_hourly +2025-02-18 08:58:28.080695068+00:00,9.1,8.155555555555557,1021.64,0.91,7.1323,clear,,test_sarima_hourly +2025-02-18 09:58:36.730695068+00:00,8.522222222222224,7.327777777777777,1021.91,0.92,7.792400000000001,foggy,,test_sarima_hourly +2025-02-18 10:58:28.984695068+00:00,7.9944444444444445,6.588888888888889,1022.16,0.92,8.3398,foggy,,test_sarima_hourly +2025-02-18 11:58:31.666695068+00:00,7.4,5.82222222222222,1022.32,0.93,8.645700000000001,foggy,,test_sarima_hourly +2025-02-18 12:58:29.089695068+00:00,6.816666666666668,5.0666666666666655,1022.52,0.94,8.9516,foggy,,test_sarima_hourly +2025-02-18 13:58:36.312695068+00:00,6.244444444444445,4.3277777777777775,1022.71,0.94,9.2092,foggy,,test_sarima_hourly +2025-02-18 14:58:28.141695068+00:00,6.111111111111111,4.072222222222221,1022.74,0.95,9.66,foggy,,test_sarima_hourly +2025-02-18 15:58:30.013695068+00:00,6.144444444444446,3.988888888888889,1022.7,0.95,10.2557,foggy,,test_sarima_hourly +2025-02-18 16:58:35.662695068+00:00,6.366666666666667,4.122222222222224,1022.74,0.95,10.9319,foggy,,test_sarima_hourly +2025-02-18 17:58:36.506695068+00:00,6.700000000000001,4.461111111111112,1022.93,0.96,11.27,foggy,,test_sarima_hourly +2025-02-18 18:58:32.468695068+00:00,6.9555555555555575,4.733333333333335,1023.19,0.96,11.4632,foggy,,test_sarima_hourly +2025-02-18 19:58:36.890695068+00:00,7.76111111111111,5.583333333333332,1023.41,0.94,12.2038,foggy,,test_sarima_hourly +2025-02-18 20:58:31.455695068+00:00,9.300000000000002,7.183333333333334,1023.6,0.89,14.0875,mostly cloudy,,test_sarima_hourly +2025-02-18 21:58:28.774695068+00:00,11.466666666666669,11.466666666666669,1023.74,0.83,15.7297,overcast,,test_sarima_hourly +2025-02-18 22:58:33.986695068+00:00,13.366666666666667,13.366666666666667,1023.8,0.77,16.309300000000004,mostly cloudy,,test_sarima_hourly +2025-02-18 23:58:32.791695068+00:00,15.005555555555553,15.005555555555553,1023.74,0.72,16.438100000000002,mostly cloudy,,test_sarima_hourly +2025-02-19 00:58:29.972695068+00:00,16.400000000000002,16.400000000000002,1023.59,0.69,16.0517,partly cloudy,,test_sarima_hourly +2025-02-19 01:58:32.061695068+00:00,17.21666666666667,17.21666666666667,1023.41,0.67,15.5848,partly cloudy,,test_sarima_hourly +2025-02-19 02:58:30.705695068+00:00,17.25,17.25,1023.18,0.68,14.860300000000002,clear,,test_sarima_hourly +2025-02-19 03:58:33.948695068+00:00,16.71111111111111,16.71111111111111,1022.91,0.72,13.6206,clear,,test_sarima_hourly +2025-02-19 04:58:31.919695068+00:00,15.95,15.95,1022.74,0.75,13.0571,clear,,test_sarima_hourly +2025-02-19 05:58:32.617695068+00:00,15.077777777777776,15.077777777777776,1022.75,0.79,13.6528,partly cloudy,,test_sarima_hourly +2025-02-19 06:58:33.270695068+00:00,14.127777777777778,14.127777777777778,1022.88,0.82,14.7637,partly cloudy,,test_sarima_hourly +2025-02-19 07:58:29.437695068+00:00,13.3,13.3,1023.0,0.84,15.568700000000002,mostly cloudy,,test_sarima_hourly +2025-02-19 08:58:34.456695068+00:00,12.66111111111111,12.66111111111111,1023.12,0.85,16.4864,mostly cloudy,,test_sarima_hourly +2025-02-19 09:58:32.389695068+00:00,12.083333333333334,12.083333333333334,1023.24,0.85,17.3075,mostly cloudy,,test_sarima_hourly +2025-02-19 10:58:34.014695068+00:00,11.52777777777778,11.52777777777778,1023.32,0.85,18.032,mostly cloudy,,test_sarima_hourly +2025-02-19 11:58:36.227695068+00:00,11.05,11.05,1023.28,0.85,18.724300000000003,mostly cloudy,,test_sarima_hourly +2025-02-19 12:58:31.123695068+00:00,10.605555555555558,10.605555555555558,1023.24,0.85,19.416600000000003,mostly cloudy,,test_sarima_hourly +2025-02-19 13:58:28.006695068+00:00,10.16111111111111,10.16111111111111,1023.2,0.86,20.125,clear,,test_sarima_hourly +2025-02-19 14:58:28.489695068+00:00,9.855555555555558,7.200000000000001,1023.06,0.86,20.1089,overcast,,test_sarima_hourly +2025-02-19 15:58:28.334695068+00:00,9.877777777777778,7.277777777777778,1022.94,0.88,19.5937,overcast,,test_sarima_hourly +2025-02-19 16:58:34.621695068+00:00,9.988888888888887,7.4833333333333325,1022.86,0.89,18.8853,overcast,,test_sarima_hourly +2025-02-19 17:58:31.001695068+00:00,9.961111111111112,7.494444444444446,1022.86,0.9,18.4345,overcast,,test_sarima_hourly +2025-02-19 18:58:29.301695068+00:00,9.794444444444444,7.311111111111109,1022.91,0.91,18.241300000000003,overcast,,test_sarima_hourly +2025-02-19 19:58:32.986695068+00:00,10.18888888888889,10.18888888888889,1023.0,0.9,18.498900000000003,overcast,,test_sarima_hourly +2025-02-19 20:58:31.324695068+00:00,11.627777777777778,11.627777777777778,1023.15,0.85,19.271700000000003,mostly cloudy,,test_sarima_hourly +2025-02-19 21:58:35.125695068+00:00,13.666666666666666,13.666666666666666,1023.29,0.78,19.4971,mostly cloudy,,test_sarima_hourly +2025-02-19 22:58:28.718695068+00:00,15.616666666666667,15.616666666666667,1023.32,0.72,19.2073,mostly cloudy,,test_sarima_hourly +2025-02-19 23:58:31.981695068+00:00,17.394444444444446,17.394444444444446,1023.13,0.68,18.8531,mostly cloudy,,test_sarima_hourly +2025-02-20 00:58:37.562695068+00:00,18.977777777777774,18.977777777777774,1022.84,0.64,18.515,mostly cloudy,,test_sarima_hourly +2025-02-20 01:58:36.200695068+00:00,19.844444444444445,19.844444444444445,1022.55,0.63,17.871000000000002,mostly cloudy,,test_sarima_hourly +2025-02-20 02:58:35.181695068+00:00,19.78888888888889,19.78888888888889,1022.3,0.64,16.7601,mostly cloudy,,test_sarima_hourly +2025-02-20 03:58:35.485695068+00:00,19.08888888888889,19.08888888888889,1022.05,0.67,15.0535,mostly cloudy,,test_sarima_hourly +2025-02-20 04:58:34.090695068+00:00,18.005555555555553,18.005555555555553,1021.84,0.71,13.6689,mostly cloudy,,test_sarima_hourly +2025-02-20 05:58:33.578695068+00:00,16.71111111111111,16.71111111111111,1021.68,0.74,12.7351,mostly cloudy,,test_sarima_hourly +2025-02-20 06:58:30.544695068+00:00,15.438888888888888,15.438888888888888,1021.57,0.77,12.4936,mostly cloudy,,test_sarima_hourly +2025-02-20 07:58:35.625695068+00:00,14.505555555555556,14.505555555555556,1021.49,0.8,12.042800000000002,mostly cloudy,,test_sarima_hourly +2025-02-20 08:58:31.279695068+00:00,13.883333333333336,13.883333333333336,1021.5,0.82,11.8657,mostly cloudy,rain,test_sarima_hourly +2025-02-20 09:58:34.537695068+00:00,13.261111111111113,13.261111111111113,1021.56,0.84,11.253900000000002,light rain,rain,test_sarima_hourly +2025-02-20 10:58:30.615695068+00:00,12.633333333333336,12.633333333333336,1021.49,0.86,10.4167,light rain,rain,test_sarima_hourly +2025-02-20 11:58:37.543695068+00:00,13.0,13.0,1021.08,0.87,10.448900000000002,light rain,rain,test_sarima_hourly +2025-02-20 12:58:31.538695068+00:00,12.388888888888888,12.388888888888888,1020.68,0.88,10.6582,light rain,rain,test_sarima_hourly +2025-02-20 13:58:36.731695068+00:00,11.683333333333334,11.683333333333334,1020.3,0.9,10.8836,light rain,rain,test_sarima_hourly +2025-02-20 14:58:36.984695068+00:00,11.238888888888887,11.238888888888887,1019.79,0.91,9.5795,light rain,rain,test_sarima_hourly +2025-02-20 15:58:32.598695068+00:00,10.844444444444449,10.844444444444449,1019.3,0.93,7.3899,rain,rain,test_sarima_hourly +2025-02-20 16:58:35.189695068+00:00,10.56111111111111,10.56111111111111,1019.04,0.94,5.2647,rain,rain,test_sarima_hourly +2025-02-20 17:58:28.218695068+00:00,10.488888888888887,10.488888888888887,1019.06,0.95,3.0912,rain,rain,test_sarima_hourly +2025-02-20 18:58:29.810695068+00:00,10.633333333333333,10.633333333333333,1019.32,0.95,0.9821,rain,rain,test_sarima_hourly +2025-02-20 19:58:34.064695068+00:00,10.961111111111109,10.961111111111109,1019.72,0.95,1.932,rain,rain,test_sarima_hourly +2025-02-20 20:58:30.926695068+00:00,11.500000000000002,11.500000000000002,1020.24,0.94,4.2021,rain,rain,test_sarima_hourly +2025-02-20 21:58:32.547695068+00:00,12.288888888888888,12.288888888888888,1020.9,0.92,7.406,light rain,rain,test_sarima_hourly +2025-02-20 22:58:32.300695068+00:00,13.255555555555556,13.255555555555556,1021.49,0.9,11.6564,light rain,rain,test_sarima_hourly +2025-02-20 23:58:31.963695068+00:00,14.183333333333334,14.183333333333334,1021.88,0.86,15.134000000000002,light rain,rain,test_sarima_hourly +2025-02-21 00:58:28.837695068+00:00,14.9,14.9,1022.19,0.83,17.5329,drizzle,rain,test_sarima_hourly +2025-02-21 01:58:28.573695068+00:00,15.194444444444445,15.194444444444445,1022.49,0.8,18.724300000000003,drizzle,rain,test_sarima_hourly +2025-02-21 02:58:35.954695068+00:00,14.755555555555556,14.755555555555556,1022.79,0.79,18.611600000000003,overcast,rain,test_sarima_hourly +2025-02-21 03:58:30.165695068+00:00,13.85,13.85,1023.09,0.78,17.4846,overcast,rain,test_sarima_hourly +2025-02-21 04:58:28.884695068+00:00,12.716666666666669,12.716666666666669,1023.5,0.79,16.067800000000002,mostly cloudy,,test_sarima_hourly +2025-02-21 05:58:29.620695068+00:00,11.583333333333334,11.583333333333334,1023.98,0.8,14.812,mostly cloudy,,test_sarima_hourly +2025-02-21 06:58:37.291695068+00:00,10.555555555555555,10.555555555555555,1024.48,0.82,13.7494,mostly cloudy,,test_sarima_hourly +2025-02-21 07:58:33.228695068+00:00,9.733333333333336,7.838888888888889,1024.96,0.83,13.1537,mostly cloudy,,test_sarima_hourly +2025-02-21 08:58:34.576695068+00:00,9.005555555555556,6.900000000000001,1025.41,0.83,13.5562,partly cloudy,,test_sarima_hourly +2025-02-21 09:58:35.347695068+00:00,8.205555555555557,5.855555555555555,1025.85,0.83,13.9748,clear,,test_sarima_hourly +2025-02-21 10:58:29.493695068+00:00,7.300000000000001,4.694444444444446,1026.25,0.84,14.3451,clear,,test_sarima_hourly +2025-02-21 11:58:31.372695068+00:00,7.022222222222222,4.322222222222223,1026.57,0.84,14.5222,clear,,test_sarima_hourly +2025-02-21 12:58:35.443695068+00:00,6.083333333333335,3.155555555555555,1026.91,0.84,14.6349,clear,,test_sarima_hourly +2025-02-21 13:58:29.852695068+00:00,5.072222222222224,1.9055555555555552,1027.25,0.84,14.6832,clear,,test_sarima_hourly +2025-02-21 14:58:35.165695068+00:00,4.522222222222222,1.288888888888889,1027.41,0.84,14.312900000000004,clear,,test_sarima_hourly +2025-02-21 15:58:35.846695068+00:00,3.916666666666665,0.6277777777777792,1027.5,0.84,13.8138,clear,,test_sarima_hourly +2025-02-21 16:58:28.794695068+00:00,3.4500000000000006,0.1166666666666671,1027.66,0.85,13.4757,clear,,test_sarima_hourly +2025-02-21 17:58:36.888695068+00:00,3.0555555555555554,-0.3555555555555558,1028.02,0.85,13.4274,clear,,test_sarima_hourly +2025-02-21 18:58:34.709695068+00:00,2.7888888888888905,-0.7000000000000008,1028.46,0.86,13.5401,clear,,test_sarima_hourly +2025-02-21 19:58:36.174695068+00:00,3.433333333333333,0.0277777777777761,1028.88,0.85,13.8782,clear,,test_sarima_hourly +2025-02-21 20:58:30.592695068+00:00,4.666666666666666,1.4111111111111103,1029.27,0.8,14.6349,clear,,test_sarima_hourly +2025-02-21 21:58:33.756695068+00:00,6.277777777777776,3.255555555555555,1029.63,0.74,15.6009,clear,,test_sarima_hourly +2025-02-21 22:58:27.939695068+00:00,7.9944444444444445,5.2888888888888905,1029.86,0.68,16.261,partly cloudy,,test_sarima_hourly +2025-02-21 23:58:29.134695068+00:00,9.994444444444447,7.73888888888889,1029.89,0.65,16.5347,partly cloudy,,test_sarima_hourly +2025-02-22 00:58:33.154695068+00:00,11.85,11.85,1029.79,0.62,16.6152,partly cloudy,,test_sarima_hourly +2025-02-22 01:58:30.587695068+00:00,13.033333333333337,13.033333333333337,1029.72,0.62,15.9712,partly cloudy,,test_sarima_hourly +2025-02-22 02:58:31.079695068+00:00,12.8,12.8,1029.7,0.64,13.846,partly cloudy,,test_sarima_hourly +2025-02-22 03:58:37.580695068+00:00,11.97777777777778,11.97777777777778,1029.71,0.68,10.706500000000002,clear,,test_sarima_hourly +2025-02-22 04:58:35.552695068+00:00,10.911111111111111,10.911111111111111,1029.86,0.71,8.0822,clear,,test_sarima_hourly +2025-02-22 05:58:28.747695068+00:00,9.72222222222222,8.927777777777777,1030.24,0.73,6.9391,clear,,test_sarima_hourly +2025-02-22 06:58:34.095695068+00:00,8.411111111111111,7.455555555555557,1030.76,0.75,6.745900000000001,clear,,test_sarima_hourly +2025-02-22 07:58:33.216695068+00:00,7.266666666666666,6.116666666666665,1031.22,0.76,6.7942,clear,,test_sarima_hourly +2025-02-22 08:58:34.008695068+00:00,6.344444444444445,5.1,1031.59,0.77,6.601,clear,,test_sarima_hourly +2025-02-22 09:58:32.492695068+00:00,5.56111111111111,4.205555555555556,1031.93,0.78,6.552700000000001,clear,,test_sarima_hourly +2025-02-22 10:58:37.419695068+00:00,4.9,3.366666666666668,1032.22,0.79,6.810300000000001,clear,,test_sarima_hourly +2025-02-22 11:58:36.199695068+00:00,4.655555555555557,2.9166666666666665,1032.4,0.8,7.3899,clear,,test_sarima_hourly +2025-02-22 12:58:29.465695068+00:00,3.805555555555556,1.8000000000000012,1032.58,0.81,7.8085,clear,,test_sarima_hourly +2025-02-22 13:58:28.578695068+00:00,2.944444444444443,0.7111111111111117,1032.75,0.81,8.1144,clear,,test_sarima_hourly +2025-02-22 14:58:29.655695068+00:00,2.3388888888888895,0.038888888888889,1032.77,0.83,7.969500000000001,clear,,test_sarima_hourly +2025-02-22 15:58:33.726695068+00:00,1.8666666666666665,-0.4166666666666667,1032.73,0.84,7.631400000000001,clear,,test_sarima_hourly +2025-02-22 16:58:31.365695068+00:00,1.5277777777777777,-0.6777777777777771,1032.82,0.85,7.212800000000001,clear,,test_sarima_hourly +2025-02-22 17:58:34.091695068+00:00,1.2555555555555544,-0.8222222222222224,1033.16,0.86,6.7137,clear,,test_sarima_hourly +2025-02-22 18:58:37.726695068+00:00,1.5111111111111104,-0.344444444444445,1033.62,0.86,6.1985,clear,,test_sarima_hourly +2025-02-22 19:58:29.208695068+00:00,2.1499999999999986,0.5888888888888901,1034.0,0.84,5.6672,clear,,test_sarima_hourly +2025-02-22 20:58:31.679695068+00:00,3.494444444444444,2.366666666666666,1034.29,0.78,5.0715,clear,,test_sarima_hourly +2025-02-22 21:58:35.849695068+00:00,5.42777777777778,5.42777777777778,1034.49,0.7,4.347,clear,,test_sarima_hourly +2025-02-22 22:58:32.776695068+00:00,7.627777777777776,7.627777777777776,1034.5,0.64,3.3971,clear,,test_sarima_hourly +2025-02-22 23:58:28.994695068+00:00,9.866666666666664,9.866666666666664,1034.23,0.59,2.254,clear,,test_sarima_hourly +2025-02-23 00:58:36.392695068+00:00,11.783333333333337,11.783333333333337,1033.77,0.55,2.0608,clear,,test_sarima_hourly +2025-02-23 01:58:37.415695068+00:00,12.96111111111111,12.96111111111111,1033.33,0.54,3.2039,clear,,test_sarima_hourly +2025-02-23 02:58:35.979695068+00:00,12.677777777777775,12.677777777777775,1032.94,0.56,4.4919,clear,,test_sarima_hourly +2025-02-23 03:58:36.538695068+00:00,11.705555555555556,11.705555555555556,1032.57,0.6,5.6672,clear,,test_sarima_hourly +2025-02-23 04:58:32.722695068+00:00,10.52777777777778,10.52777777777778,1032.28,0.65,6.6493,clear,,test_sarima_hourly +2025-02-23 05:58:31.310695068+00:00,9.36111111111111,8.383333333333335,1032.16,0.67,7.486500000000001,clear,,test_sarima_hourly +2025-02-23 06:58:36.817695068+00:00,8.11111111111111,6.7444444444444445,1032.14,0.7,8.2593,clear,,test_sarima_hourly +2025-02-23 07:58:29.979695068+00:00,7.233333333333336,5.58888888888889,1032.1,0.72,8.790600000000001,clear,,test_sarima_hourly +2025-02-23 08:58:31.933695068+00:00,6.816666666666668,5.038888888888889,1032.04,0.75,9.0804,clear,,test_sarima_hourly +2025-02-23 09:58:29.902695068+00:00,6.683333333333334,4.855555555555557,1031.96,0.77,9.1931,clear,,test_sarima_hourly +2025-02-23 10:58:31.699695068+00:00,6.594444444444443,4.6333333333333355,1031.75,0.8,9.7405,partly cloudy,,test_sarima_hourly +2025-02-23 11:58:31.481695068+00:00,6.477777777777776,4.222222222222223,1031.23,0.83,11.125100000000002,partly cloudy,,test_sarima_hourly +2025-02-23 12:58:33.104695068+00:00,6.011111111111111,3.377777777777777,1030.7,0.86,12.6707,partly cloudy,,test_sarima_hourly +2025-02-23 13:58:31.782695068+00:00,6.1388888888888875,3.2888888888888896,1030.14,0.89,14.2002,partly cloudy,,test_sarima_hourly +2025-02-23 14:58:35.469695068+00:00,6.272222222222222,3.483333333333335,1029.55,0.9,14.007,partly cloudy,,test_sarima_hourly +2025-02-23 15:58:32.087695068+00:00,6.449999999999999,3.8555555555555543,1028.97,0.91,13.0571,mostly cloudy,,test_sarima_hourly +2025-02-23 16:58:34.872695068+00:00,6.577777777777779,3.9611111111111126,1028.52,0.92,13.363,mostly cloudy,rain,test_sarima_hourly +2025-02-23 17:58:37.783695068+00:00,6.5388888888888905,3.811111111111111,1028.32,0.93,14.023100000000005,mostly cloudy,rain,test_sarima_hourly +2025-02-23 18:58:37.495695068+00:00,6.55,3.816666666666665,1028.27,0.94,14.023100000000005,mostly cloudy,rain,test_sarima_hourly +2025-02-23 19:58:31.347695068+00:00,6.988888888888888,4.3277777777777775,1028.22,0.92,14.2163,mostly cloudy,rain,test_sarima_hourly +2025-02-23 20:58:29.590695068+00:00,8.199999999999998,5.683333333333332,1028.17,0.87,15.1984,mostly cloudy,rain,test_sarima_hourly +2025-02-23 21:58:31.672695068+00:00,9.894444444444446,7.577777777777778,1028.11,0.8,16.905,mostly cloudy,rain,test_sarima_hourly +2025-02-23 22:58:30.820695068+00:00,11.511111111111113,11.511111111111113,1027.91,0.73,18.4184,overcast,,test_sarima_hourly +2025-02-23 23:58:36.470695068+00:00,13.055555555555555,13.055555555555555,1027.4,0.67,20.3826,overcast,,test_sarima_hourly +2025-02-24 00:58:32.180695068+00:00,14.033333333333331,14.033333333333331,1026.75,0.61,22.2663,overcast,,test_sarima_hourly +2025-02-24 01:58:33.231695068+00:00,14.366666666666667,14.366666666666667,1026.33,0.58,23.1518,overcast,,test_sarima_hourly +2025-02-24 02:58:34.433695068+00:00,13.900000000000002,13.900000000000002,1026.1,0.58,22.2985,mostly cloudy,,test_sarima_hourly +2025-02-24 03:58:32.723695068+00:00,12.911111111111111,12.911111111111111,1026.01,0.61,20.0123,mostly cloudy,,test_sarima_hourly +2025-02-24 04:58:29.508695068+00:00,11.805555555555555,11.805555555555555,1026.05,0.63,18.1447,mostly cloudy,,test_sarima_hourly +2025-02-24 05:58:34.278695068+00:00,10.738888888888887,10.738888888888887,1026.34,0.64,18.1447,mostly cloudy,,test_sarima_hourly +2025-02-24 06:58:36.341695068+00:00,9.661111111111111,7.061111111111112,1026.82,0.66,19.0463,mostly cloudy,,test_sarima_hourly +2025-02-24 07:58:33.974695068+00:00,8.705555555555556,5.811111111111112,1027.19,0.67,19.4649,mostly cloudy,,test_sarima_hourly +2025-02-24 08:58:30.126695068+00:00,7.933333333333334,4.9,1027.43,0.69,18.9336,partly cloudy,,test_sarima_hourly +2025-02-24 09:58:36.643695068+00:00,7.266666666666666,4.183333333333334,1027.59,0.71,17.9354,clear,,test_sarima_hourly +2025-02-24 10:58:29.964695068+00:00,6.605555555555556,3.48888888888889,1027.68,0.74,16.888900000000003,clear,,test_sarima_hourly +2025-01-28 11:58:34.511695068+00:00,15.511111111111113,15.511111111111113,1015.33,0.96,6.1824,overcast,rain,test_sarima_hourly +2025-01-28 12:58:35.617695068+00:00,15.0,15.0,1015.34,1.0,3.22,overcast,rain,test_sarima_hourly +2025-01-28 13:58:29.849695068+00:00,15.033333333333337,15.033333333333337,1015.85,1.0,4.1216,overcast,rain,test_sarima_hourly +2025-01-28 14:58:35.427695068+00:00,15.511111111111113,15.511111111111113,1015.82,0.96,3.0268,foggy,rain,test_sarima_hourly +2025-01-28 15:58:28.166695068+00:00,15.511111111111113,15.511111111111113,1015.72,0.96,0.0,foggy,rain,test_sarima_hourly +2025-01-28 16:58:36.681695068+00:00,15.516666666666667,15.516666666666667,1015.86,0.96,2.3506,overcast,rain,test_sarima_hourly +2025-01-28 17:58:35.395695068+00:00,15.0,15.0,1016.04,1.0,0.3542,foggy,rain,test_sarima_hourly +2025-01-28 18:58:34.821695068+00:00,14.883333333333333,14.883333333333333,1016.35,1.0,5.425700000000001,foggy,rain,test_sarima_hourly +2025-01-28 19:58:29.340695068+00:00,14.983333333333333,14.983333333333333,1016.65,0.99,7.8729,overcast,rain,test_sarima_hourly +2025-01-28 20:58:32.086695068+00:00,13.794444444444444,13.794444444444444,1017.39,0.93,21.8638,overcast,rain,test_sarima_hourly +2025-01-28 21:58:36.952695068+00:00,14.883333333333333,14.883333333333333,1017.77,0.87,23.023000000000003,mostly cloudy,rain,test_sarima_hourly +2025-01-28 22:58:36.765695068+00:00,15.85,15.85,1018.21,0.81,15.617,mostly cloudy,rain,test_sarima_hourly +2025-01-28 23:58:34.653695068+00:00,17.127777777777776,17.127777777777776,1018.06,0.72,21.896,mostly cloudy,rain,test_sarima_hourly +2025-01-29 00:58:32.972695068+00:00,17.805555555555557,17.805555555555557,1017.93,0.72,20.7368,partly cloudy,rain,test_sarima_hourly +2025-01-29 01:58:34.891695068+00:00,18.727777777777774,18.727777777777774,1017.95,0.6,24.5203,mostly cloudy,rain,test_sarima_hourly +2025-01-29 02:58:36.112695068+00:00,17.755555555555556,17.755555555555556,1017.95,0.56,26.404,mostly cloudy,rain,test_sarima_hourly +2025-01-29 03:58:30.780695068+00:00,17.127777777777776,17.127777777777776,1018.37,0.54,23.5221,mostly cloudy,rain,test_sarima_hourly +2025-01-29 04:58:34.451695068+00:00,15.894444444444446,15.894444444444446,1018.89,0.62,15.262800000000002,mostly cloudy,rain,test_sarima_hourly +2025-01-29 05:58:30.393695068+00:00,13.794444444444444,13.794444444444444,1018.96,0.84,21.3969,mostly cloudy,rain,test_sarima_hourly +2025-01-29 06:58:34.716695068+00:00,12.244444444444444,12.244444444444444,1019.72,0.86,12.1716,mostly cloudy,rain,test_sarima_hourly +2025-01-29 07:58:31.703695068+00:00,12.272222222222224,12.272222222222224,1020.07,0.87,9.0482,overcast,rain,test_sarima_hourly +2025-01-29 08:58:36.929695068+00:00,12.22222222222222,12.22222222222222,1020.2,0.86,11.1895,overcast,rain,test_sarima_hourly +2025-01-29 09:58:29.601695068+00:00,12.17777777777778,12.17777777777778,1020.03,0.9,14.0875,overcast,rain,test_sarima_hourly +2025-01-29 10:58:35.188695068+00:00,12.216666666666669,12.216666666666669,1020.06,0.91,13.9909,partly cloudy,rain,test_sarima_hourly +2025-02-24 11:58:30.335695068+00:00,6.333333333333332,3.277777777777777,1027.62,0.75,15.939000000000002,clear,,test_sarima_hourly +2025-02-24 12:58:33.815695068+00:00,5.438888888888888,2.316666666666668,1027.55,0.77,14.9569,clear,,test_sarima_hourly +2025-02-24 13:58:30.774695068+00:00,4.383333333333334,1.188888888888889,1027.48,0.79,13.8782,clear,,test_sarima_hourly +2025-02-24 14:58:36.612695068+00:00,3.861111111111113,0.6611111111111099,1027.36,0.81,13.2503,clear,,test_sarima_hourly +2025-02-24 15:58:29.011695068+00:00,3.688888888888889,0.5222222222222209,1027.23,0.83,12.8317,clear,,test_sarima_hourly +2025-02-24 16:58:28.281695068+00:00,3.694444444444444,0.5833333333333317,1027.15,0.84,12.558,clear,,test_sarima_hourly +2025-02-24 17:58:33.161695068+00:00,3.5999999999999983,0.5277777777777793,1027.18,0.86,12.2682,clear,,test_sarima_hourly +2025-02-24 18:58:31.759695068+00:00,3.672222222222222,0.6333333333333336,1027.25,0.86,12.1394,clear,,test_sarima_hourly +2025-02-24 19:58:30.525695068+00:00,4.066666666666666,1.0444444444444458,1027.25,0.84,12.525800000000002,clear,,test_sarima_hourly +2025-02-24 20:58:33.901695068+00:00,5.211111111111112,2.2166666666666677,1027.16,0.79,13.7977,clear,,test_sarima_hourly +2025-02-24 21:58:32.073695068+00:00,6.9555555555555575,4.094444444444443,1027.01,0.71,15.5848,clear,,test_sarima_hourly +2025-02-24 22:58:30.120695068+00:00,8.711111111111112,6.083333333333335,1026.77,0.64,17.0982,clear,,test_sarima_hourly +2025-02-24 23:58:36.131695068+00:00,10.13888888888889,10.13888888888889,1026.35,0.59,18.209100000000003,clear,,test_sarima_hourly +2025-02-25 00:58:29.322695068+00:00,11.266666666666667,11.266666666666667,1025.79,0.56,18.9336,clear,,test_sarima_hourly +2025-02-25 01:58:32.522695068+00:00,11.83888888888889,11.83888888888889,1025.26,0.55,18.9175,clear,,test_sarima_hourly +2025-02-25 02:58:34.110695068+00:00,11.688888888888888,11.688888888888888,1024.9,0.57,17.5973,clear,,test_sarima_hourly +2025-02-25 03:58:37.295695068+00:00,11.06111111111111,11.06111111111111,1024.66,0.61,15.649200000000002,clear,,test_sarima_hourly +2025-02-25 04:58:28.767695068+00:00,10.227777777777776,10.227777777777776,1024.55,0.65,13.8782,clear,,test_sarima_hourly +2025-02-25 05:58:29.867695068+00:00,9.27777777777778,7.355555555555558,1024.65,0.69,12.6224,clear,,test_sarima_hourly +2025-02-25 06:58:37.530695068+00:00,8.222222222222221,6.238888888888887,1024.91,0.73,11.640300000000002,clear,,test_sarima_hourly +2025-02-25 07:58:32.573695068+00:00,7.23888888888889,5.172222222222223,1025.14,0.76,10.9158,clear,,test_sarima_hourly +2025-02-25 08:58:37.338695068+00:00,6.35,4.105555555555556,1025.33,0.78,10.9158,clear,,test_sarima_hourly +2025-02-25 09:58:28.065695068+00:00,5.522222222222221,3.06111111111111,1025.51,0.8,11.1734,clear,,test_sarima_hourly +2025-02-25 10:58:35.005695068+00:00,4.755555555555556,2.2000000000000006,1025.62,0.82,10.8675,clear,,test_sarima_hourly +2025-02-25 11:58:29.253695068+00:00,3.9000000000000017,1.5111111111111104,1025.66,0.84,9.338,clear,,test_sarima_hourly +2025-02-25 12:58:32.779695068+00:00,3.6444444444444457,1.7388888888888905,1025.59,0.85,7.3738,clear,,test_sarima_hourly +2025-02-25 13:58:29.012695068+00:00,2.7833333333333323,1.033333333333333,1025.55,0.86,6.44,clear,,test_sarima_hourly +2025-02-25 14:58:32.853695068+00:00,2.205555555555555,2.205555555555555,1025.39,0.87,3.0912,clear,,test_sarima_hourly +2025-02-25 15:58:29.726695068+00:00,1.91111111111111,1.91111111111111,1025.17,0.87,2.5438,clear,,test_sarima_hourly +2025-02-25 16:58:29.402695068+00:00,1.9055555555555552,1.9055555555555552,1024.98,0.88,4.7656,clear,,test_sarima_hourly +2025-02-25 17:58:31.474695068+00:00,1.8944444444444424,0.0888888888888869,1024.84,0.89,6.2146,clear,,test_sarima_hourly +2025-02-25 18:58:33.988695068+00:00,1.9833333333333336,-0.1333333333333324,1024.81,0.91,7.1645,clear,,test_sarima_hourly +2025-02-25 19:58:28.434695068+00:00,2.494444444444446,0.2277777777777758,1024.76,0.9,7.9373,clear,,test_sarima_hourly +2025-02-25 20:58:33.974695068+00:00,3.766666666666667,1.5611111111111124,1024.65,0.86,8.5169,clear,,test_sarima_hourly +2025-02-25 21:58:29.187695068+00:00,5.68888888888889,3.7833333333333345,1024.48,0.8,8.7262,clear,,test_sarima_hourly +2025-02-25 22:58:35.961695068+00:00,7.688888888888891,6.177777777777776,1024.2,0.75,8.5813,clear,,test_sarima_hourly +2025-02-25 23:58:37.311695068+00:00,9.594444444444449,7.972222222222222,1023.7,0.71,11.125100000000002,clear,,test_sarima_hourly +2025-02-26 00:58:35.919695068+00:00,11.494444444444444,11.494444444444444,1023.06,0.69,14.0553,clear,,test_sarima_hourly +2025-02-26 01:58:30.667695068+00:00,12.766666666666664,12.766666666666664,1022.49,0.67,22.540000000000003,clear,,test_sarima_hourly +2025-02-26 02:58:34.957695068+00:00,13.02222222222222,13.02222222222222,1022.12,0.68,14.168000000000005,partly cloudy,,test_sarima_hourly +2025-02-26 03:58:35.236695068+00:00,12.538888888888888,12.538888888888888,1021.9,0.71,10.9641,partly cloudy,,test_sarima_hourly +2025-02-26 04:58:32.540695068+00:00,11.755555555555553,11.755555555555553,1021.75,0.74,8.3237,mostly cloudy,,test_sarima_hourly +2025-02-26 05:58:29.729695068+00:00,10.68888888888889,10.68888888888889,1021.69,0.78,7.5187,mostly cloudy,,test_sarima_hourly +2025-02-26 06:58:34.434695068+00:00,9.394444444444442,8.377777777777776,1021.7,0.82,7.6797,mostly cloudy,,test_sarima_hourly +2025-02-26 07:58:28.230695068+00:00,8.32222222222222,7.044444444444444,1021.73,0.85,8.033900000000001,mostly cloudy,,test_sarima_hourly +2025-02-26 08:58:31.289695068+00:00,7.627777777777776,6.1833333333333345,1021.76,0.87,8.227100000000002,mostly cloudy,,test_sarima_hourly +2025-02-26 09:58:28.955695068+00:00,7.11111111111111,5.511111111111112,1021.81,0.89,8.500800000000002,mostly cloudy,,test_sarima_hourly +2025-02-26 10:58:36.832695068+00:00,6.672222222222221,4.961111111111111,1021.83,0.9,8.645700000000001,partly cloudy,,test_sarima_hourly +2025-02-26 11:58:37.302695068+00:00,6.322222222222224,4.588888888888888,1021.8,0.91,8.4686,mostly cloudy,,test_sarima_hourly +2025-01-29 11:58:33.199695068+00:00,12.17777777777778,12.17777777777778,1019.84,0.9,17.1304,mostly cloudy,rain,test_sarima_hourly +2025-01-29 12:58:32.593695068+00:00,12.066666666666666,12.066666666666666,1019.54,0.86,14.168000000000005,mostly cloudy,rain,test_sarima_hourly +2025-01-29 13:58:36.299695068+00:00,11.994444444444447,11.994444444444447,1019.57,0.85,16.6152,partly cloudy,rain,test_sarima_hourly +2025-01-29 14:58:35.810695068+00:00,11.044444444444444,11.044444444444444,1019.43,0.86,16.985500000000002,partly cloudy,rain,test_sarima_hourly +2025-01-29 15:58:30.114695068+00:00,10.511111111111113,10.511111111111113,1019.23,0.89,14.0392,partly cloudy,rain,test_sarima_hourly +2025-01-29 16:58:36.438695068+00:00,11.127777777777778,11.127777777777778,1019.13,0.87,13.7172,mostly cloudy,rain,test_sarima_hourly +2025-01-29 17:58:36.308695068+00:00,10.050000000000002,10.050000000000002,1018.72,0.86,14.168000000000005,mostly cloudy,rain,test_sarima_hourly +2025-01-29 18:58:32.645695068+00:00,11.044444444444444,11.044444444444444,1018.6,0.86,12.654600000000002,mostly cloudy,rain,test_sarima_hourly +2025-01-29 19:58:28.750695068+00:00,11.038888888888888,11.038888888888888,1018.53,0.87,12.5419,mostly cloudy,rain,test_sarima_hourly +2025-01-29 20:58:29.248695068+00:00,12.15,12.15,1018.31,0.81,20.5597,overcast,rain,test_sarima_hourly +2025-01-29 21:58:34.305695068+00:00,12.15,12.15,1018.1,0.86,17.2109,overcast,rain,test_sarima_hourly +2025-01-29 22:58:29.332695068+00:00,12.31111111111111,12.31111111111111,1017.86,0.86,16.985500000000002,overcast,rain,test_sarima_hourly +2025-01-29 23:58:30.234695068+00:00,12.244444444444444,12.244444444444444,1017.41,0.86,14.0875,overcast,rain,test_sarima_hourly +2025-01-30 00:58:33.098695068+00:00,12.266666666666666,12.266666666666666,1016.82,0.86,27.5954,overcast,rain,test_sarima_hourly +2025-01-30 01:58:28.574695068+00:00,11.483333333333334,11.483333333333334,1016.68,0.91,22.3307,overcast,rain,test_sarima_hourly +2025-01-30 02:58:37.838695068+00:00,11.22777777777778,11.22777777777778,1016.2,0.92,24.6169,overcast,rain,test_sarima_hourly +2025-01-30 03:58:30.499695068+00:00,11.205555555555556,11.205555555555556,1015.72,0.92,17.2109,overcast,rain,test_sarima_hourly +2025-01-30 04:58:34.819695068+00:00,11.316666666666666,11.316666666666666,1015.55,0.93,16.5025,overcast,rain,test_sarima_hourly +2025-01-30 05:58:34.196695068+00:00,11.183333333333334,11.183333333333334,1015.45,0.93,13.9587,overcast,rain,test_sarima_hourly +2025-01-30 06:58:31.721695068+00:00,11.161111111111111,11.161111111111111,1015.48,1.0,14.1358,overcast,rain,test_sarima_hourly +2025-01-30 07:58:33.898695068+00:00,12.033333333333331,12.033333333333331,1015.48,0.94,13.4113,overcast,rain,test_sarima_hourly +2025-01-30 08:58:37.809695068+00:00,12.127777777777776,12.127777777777776,1015.63,0.93,23.1196,overcast,rain,test_sarima_hourly +2025-01-30 09:58:32.364695068+00:00,11.605555555555556,11.605555555555556,1016.25,0.87,25.8727,overcast,rain,test_sarima_hourly +2025-01-30 10:58:34.001695068+00:00,10.077777777777778,10.077777777777778,1017.13,0.81,29.1249,breezy and overcast,rain,test_sarima_hourly +2025-01-30 11:58:32.623695068+00:00,9.972222222222223,6.977777777777779,1017.73,0.81,24.311,overcast,rain,test_sarima_hourly +2025-01-30 12:58:36.350695068+00:00,9.97777777777778,7.66111111111111,1018.11,0.86,17.0821,overcast,rain,test_sarima_hourly +2025-01-30 13:58:36.854695068+00:00,9.38888888888889,7.372222222222224,1018.25,0.87,13.4918,mostly cloudy,rain,test_sarima_hourly +2025-01-30 14:58:29.723695068+00:00,9.86111111111111,7.5166666666666675,1018.25,0.8,17.114300000000004,mostly cloudy,rain,test_sarima_hourly +2025-01-30 15:58:28.158695068+00:00,9.283333333333337,6.766666666666667,1018.81,0.78,17.3075,mostly cloudy,rain,test_sarima_hourly +2025-01-30 16:58:31.282695068+00:00,9.116666666666664,6.67777777777778,1019.07,0.73,16.3415,mostly cloudy,rain,test_sarima_hourly +2025-01-30 17:58:31.347695068+00:00,7.611111111111112,4.233333333333332,1019.42,0.76,21.413000000000004,mostly cloudy,rain,test_sarima_hourly +2025-01-30 18:58:32.889695068+00:00,7.061111111111112,3.377777777777777,1019.51,0.79,22.8942,mostly cloudy,rain,test_sarima_hourly +2025-01-30 19:58:31.161695068+00:00,7.538888888888888,4.394444444444442,1019.93,0.73,18.998,mostly cloudy,rain,test_sarima_hourly +2025-01-30 20:58:36.945695068+00:00,7.827777777777779,4.583333333333333,1019.87,0.75,20.5919,partly cloudy,rain,test_sarima_hourly +2025-01-30 21:58:37.212695068+00:00,8.93888888888889,6.461111111111112,1020.05,0.7,16.261,partly cloudy,rain,test_sarima_hourly +2025-01-30 22:58:37.201695068+00:00,11.011111111111113,11.011111111111113,1019.93,0.6,19.803,partly cloudy,rain,test_sarima_hourly +2025-01-30 23:58:30.779695068+00:00,12.155555555555557,12.155555555555557,1019.85,0.56,16.309300000000004,partly cloudy,rain,test_sarima_hourly +2025-01-31 00:58:32.402695068+00:00,11.11111111111111,11.11111111111111,1019.73,0.53,17.7905,mostly cloudy,rain,test_sarima_hourly +2025-01-31 01:58:36.384695068+00:00,12.111111111111107,12.111111111111107,1019.34,0.49,20.865600000000004,partly cloudy,rain,test_sarima_hourly +2025-01-31 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a/ml_adapter/sarima_weather/weather/sensors-GetWeatherAdjusted-1.0.3.json b/ml_adapter/sarima_weather/weather/sensors-GetWeatherAdjusted-1.0.3.json new file mode 100644 index 0000000..9619358 --- /dev/null +++ b/ml_adapter/sarima_weather/weather/sensors-GetWeatherAdjusted-1.0.3.json @@ -0,0 +1,109 @@ +{ + "name": "GetWeatherAdjusted", + "version": "1.0.3", + "type": "sensor", + "script": "const axios = require('axios')\n\nconst { OPENWEATHER_KEY: API_KEY, city } = options.requiredProperties\n\nasync function execute () {\n if (!API_KEY || !city) {\n return send(new Error('Required properties missing'))\n }\n\n try {\n const url = 'http://api.openweathermap.org/data/2.5/weather?q=' + city + '&units=metric' + '&appid=' + API_KEY\n const response = await axios.get(url)\n const { data } = response\n if (data.cod && data.cod !== '200' && data.message) {\n throw new Error(data.message)\n }\n const state = data.weather[0].main\n\n const value = {\n observedState: 'Collected',\n rawData: {\n temperature: data.main.temp,\n temp_feel: data.main.feels_like,\n pressure: data.main.pressure,\n humidity: data.main.humidity,\n wind_speed: data.wind.speed,\n description: data.weather[0].description,\n type: data.weather[0].main.toLowerCase()\n }\n }\n\n send(null, value)\n } catch (error) {\n send(new Error('Failed to fetch current weather' + error))\n }\n}\n\nexecute()\n\n", + "metadata": { + "tags": [], + "author": "Simon Schoonjans", + "description": "", + "category": "General", + "iconURL": "", + "configuration": [ + { + "mandatory": true, + "type": "string", + "name": "city" + }, + { + "mandatory": true, + "type": "string", + "name": "OPENWEATHER_KEY" + } + ], + "documentation": { + "input": [ + { + "name": "city", + "dataType": "string", + "mandatory": true + }, + { + "name": "OPENWEATHER_KEY", + "dataType": "string", + "mandatory": true + } + ], + "output": [ + { + "name": "temperature" + }, + { + "name": "temp_feel" + }, + { + "name": "pressure" + }, + { + "name": "humidity" + }, + { + "name": "wind_speed" + }, + { + "name": "description" + }, + { + "name": "type" + } + ], + "states": [ + { + "name": "Collected" + }, + { + "name": "Not Collected" + } + ] + }, + "requiredProperties": [ + "city", + "OPENWEATHER_KEY" + ], + "rawData": [ + { + "parameter": "temperature", + "dataType": "double" + }, + { + "parameter": "temp_feel", + "dataType": "double" + }, + { + "parameter": "pressure", + "dataType": "double" + }, + { + "parameter": "humidity", + "dataType": "double" + }, + { + "parameter": "wind_speed", + "dataType": "double" + }, + { + "parameter": "description", + "dataType": "string" + }, + { + "parameter": "type", + "dataType": "string" + } + ], + "supportedStates": [ + "Collected", + "Not Collected" + ] + }, + "dependencies": {} +} \ No newline at end of file diff --git a/ml_adapter/sarima_weather/weather/template-HourlyWeather.json b/ml_adapter/sarima_weather/weather/template-HourlyWeather.json new file mode 100644 index 0000000..a920c16 --- /dev/null +++ b/ml_adapter/sarima_weather/weather/template-HourlyWeather.json @@ -0,0 +1,93 @@ +{ + "sensors": [ + { + "label": "checkOrCreateResource_1", + "name": "checkOrCreateResource", + "version": "1.0.1", + "properties": { + "metadata": "{\n \"name\": $${variables.resourceName},\n \"description\": \"Hourly updated weather data\"\n}", + "resourceId": "${task.RESOURCE}" + }, + "position": [ + 522, + 413 + ], + "dataTrigger": false, + "tickTrigger": true, + "timeout": "PT50S" + }, + { + "label": "getWeather", + "name": "GetWeatherAdjusted", + "version": "1.0.3", + "properties": { + "city": "${variables.location}", + "OPENWEATHER_KEY": "${vault.OPENWEATHER_KEY}" + }, + "position": [ + 208, + 295 + ], + "dataTrigger": false, + "tickTrigger": true, + "timeout": "PT50S" + }, + { + "label": "storeWeather", + "name": "storeMessage", + "version": "1.0.1", + "properties": { + "payload": "${nodes.getWeather.rawData}", + "resource": "${task.RESOURCE}" + }, + "position": [ + 526, + 247 + ], + "dataTrigger": false, + "tickTrigger": true, + "timeout": "PT50S" + } + ], + "triggers": [ + { + "sourceLabel": "getWeather", + "destinationLabel": "checkOrCreateResource_1", + "statesTrigger": [ + "Collected" + ] + }, + { + "sourceLabel": "getWeather", + "destinationLabel": "storeWeather", + "statesTrigger": [ + "Collected" + ] + } + ], + "name": "HourlyWeather", + "user": "simon.schoonjans@waylay.io", + "createTime": 1664878243158, + "lastUpdateTime": 1664893628494, + "discoveryTemplate": false, + "variables": [ + { + "name": "location", + "displayName": "location", + "type": "string", + "mandatory": true, + "defaultValue": "Ghent" + }, + { + "name": "resourceName", + "displayName": "resourceName", + "type": "string", + "mandatory": true, + "defaultValue": "Hourly Weather Ghent" + } + ], + "taskDefaults": { + "type": "periodic", + "frequency": 3600000 + } +} \ No newline at end of file diff --git a/ml_adapter/sarima_weather/weather/weatherHistory.ipynb b/ml_adapter/sarima_weather/weather/weatherHistory.ipynb new file mode 100644 index 0000000..4a0a619 --- /dev/null +++ b/ml_adapter/sarima_weather/weather/weatherHistory.ipynb @@ -0,0 +1,1194 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "9c7da58a", + "metadata": {}, + "source": [ + "## Historical weather data " + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "8f8e7633", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import time\n", + "from datetime import datetime\n", + "import random\n", + "import pytz\n", + "\n", + "######## PARAMS TO BE SET ###############################\n", + "\n", + "HOURLY_RESOURCE_ID = 'test_sarima_hourly'\n", + "DAILY_RESOURCE_ID = 'test_sarima_daily'\n", + "WAYLAY_PROFILE = 'aws-dev'\n", + "#########################################################\n", + "\n", + "## download csv file from kaggle as `weatherHistory.csv`:\n", + "# https://www.kaggle.com/datasets/muthuj7/weather-dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "id": "f794bccd", + "metadata": {}, + "outputs": [], + "source": [ + "from waylay.sdk import WaylayClient\n", + "client = WaylayClient.from_profile(WAYLAY_PROFILE)" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "6e9847d3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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timestamptemperaturetemp_feelpressurehumiditywind_speeddescriptiontype
02006-03-31 22:00:00+00:009.4722227.3888891015.130.8914.1197partly cloudyrain
12006-03-31 23:00:00+00:009.3555567.2277781015.630.8614.2646partly cloudyrain
22006-04-01 00:00:00+00:009.3777789.3777781015.940.893.9284mostly cloudyrain
32006-04-01 01:00:00+00:008.2888895.9444441016.410.8314.1036partly cloudyrain
42006-04-01 02:00:00+00:008.7555566.9777781016.510.8311.0446mostly cloudyrain
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964482016-09-09 17:00:00+00:0026.01666726.0166671014.360.4310.9963partly cloudyrain
964492016-09-09 18:00:00+00:0024.58333324.5833331015.160.4810.0947partly cloudyrain
964502016-09-09 19:00:00+00:0022.03888922.0388891015.660.568.9838partly cloudyrain
964512016-09-09 20:00:00+00:0021.52222221.5222221015.950.6010.5294partly cloudyrain
964522016-09-09 21:00:00+00:0020.43888920.4388891016.160.615.8765partly cloudyrain
\n", + "

96453 rows × 8 columns

\n", + "
" + ], + "text/plain": [ + " timestamp temperature temp_feel pressure humidity \\\n", + "0 2006-03-31 22:00:00+00:00 9.472222 7.388889 1015.13 0.89 \n", + "1 2006-03-31 23:00:00+00:00 9.355556 7.227778 1015.63 0.86 \n", + "2 2006-04-01 00:00:00+00:00 9.377778 9.377778 1015.94 0.89 \n", + "3 2006-04-01 01:00:00+00:00 8.288889 5.944444 1016.41 0.83 \n", + "4 2006-04-01 02:00:00+00:00 8.755556 6.977778 1016.51 0.83 \n", + "... ... ... ... ... ... \n", + "96448 2016-09-09 17:00:00+00:00 26.016667 26.016667 1014.36 0.43 \n", + "96449 2016-09-09 18:00:00+00:00 24.583333 24.583333 1015.16 0.48 \n", + "96450 2016-09-09 19:00:00+00:00 22.038889 22.038889 1015.66 0.56 \n", + "96451 2016-09-09 20:00:00+00:00 21.522222 21.522222 1015.95 0.60 \n", + "96452 2016-09-09 21:00:00+00:00 20.438889 20.438889 1016.16 0.61 \n", + "\n", + " wind_speed description type \n", + "0 14.1197 partly cloudy rain \n", + "1 14.2646 partly cloudy rain \n", + "2 3.9284 mostly cloudy rain \n", + "3 14.1036 partly cloudy rain \n", + "4 11.0446 mostly cloudy rain \n", + "... ... ... ... \n", + "96448 10.9963 partly cloudy rain \n", + "96449 10.0947 partly cloudy rain \n", + "96450 8.9838 partly cloudy rain \n", + "96451 10.5294 partly cloudy rain \n", + "96452 5.8765 partly cloudy rain \n", + "\n", + "[96453 rows x 8 columns]" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "## read csv file and keep relevant columns\n", + "df = pd.read_csv('weatherHistory.csv')\n", + "\n", + "rename_cols = {\"Formatted Date\":\"timestamp\",\n", + " \"Temperature (C)\": \"temperature\", \n", + " \"Apparent Temperature (C)\": \"temp_feel\",\n", + " \"Pressure (millibars)\": \"pressure\",\n", + " \"Humidity\": \"humidity\",\n", + " \"Wind Speed (km/h)\": \"wind_speed\",\n", + " \"Summary\": \"description\",\n", + " \"Precip Type\": \"type\"\n", + " }\n", + "\n", + "df = df.rename(columns=rename_cols)\n", + "df = df[list(rename_cols.values())]\n", + "df[\"timestamp\"] = pd.to_datetime(df[\"timestamp\"], format='ISO8601', utc=True)\n", + "# # change description to lowercase only, as in OpenWeatherAPI\n", + "df[\"description\"] = df[\"description\"].apply(lambda x: x.lower())\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "id": "1dc8c21e", + "metadata": {}, + "outputs": [], + "source": [ + "## we'll move timestamps up to today\n", + "last_time = time.time()*1000\n", + "last_time = pd.Timestamp(last_time, unit='ms',tz='utc')" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "71813e59", + "metadata": {}, + "outputs": [ + { + "ename": "StopIteration", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mStopIteration\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[53]\u001b[39m\u001b[32m, line 7\u001b[39m\n\u001b[32m 1\u001b[39m \u001b[38;5;66;03m# ... or alternatively to the first timestamp that is currently available on waylay\u001b[39;00m\n\u001b[32m 2\u001b[39m loaded = \u001b[38;5;28;01mawait\u001b[39;00m client.data.series.get_metric_series(\n\u001b[32m 3\u001b[39m HOURLY_RESOURCE_ID, \u001b[33m'\u001b[39m\u001b[33mtemperature\u001b[39m\u001b[33m'\u001b[39m,\n\u001b[32m 4\u001b[39m query={\u001b[33m'\u001b[39m\u001b[33mfrom\u001b[39m\u001b[33m'\u001b[39m:\u001b[33m'\u001b[39m\u001b[33m2020-08-01T00:00:00Z\u001b[39m\u001b[33m'\u001b[39m,\u001b[33m'\u001b[39m\u001b[33mgrouping\u001b[39m\u001b[33m'\u001b[39m:\u001b[33m'\u001b[39m\u001b[33mP1D\u001b[39m\u001b[33m'\u001b[39m,\u001b[33m'\u001b[39m\u001b[33maggregate\u001b[39m\u001b[33m'\u001b[39m:\u001b[33m'\u001b[39m\u001b[33mcount\u001b[39m\u001b[33m'\u001b[39m}\n\u001b[32m 5\u001b[39m )\n\u001b[32m 6\u001b[39m last_time = pd.to_datetime(\n\u001b[32m----> \u001b[39m\u001b[32m7\u001b[39m \u001b[38;5;28;43mnext\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mts\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43m[\u001b[49m\u001b[43mts\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcount\u001b[49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mloaded\u001b[49m\u001b[43m.\u001b[49m\u001b[43mseries\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mcount\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mis\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m,\n\u001b[32m 8\u001b[39m unit=\u001b[33m'\u001b[39m\u001b[33mms\u001b[39m\u001b[33m'\u001b[39m, utc=\u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[32m 9\u001b[39m )\n\u001b[32m 10\u001b[39m last_time\n", + "\u001b[31mStopIteration\u001b[39m: " + ] + } + ], + "source": [ + "# ... or alternatively to the first timestamp that is currently available on waylay\n", + "loaded = await client.data.series.get_metric_series(\n", + " HOURLY_RESOURCE_ID, 'temperature',\n", + " query={'from':'2020-08-01T00:00:00Z','grouping':'P1D','aggregate':'count'}\n", + ")\n", + "last_time = pd.to_datetime(\n", + " next(ts for [ts, count] in loaded.series if count is not None),\n", + " unit='ms', utc=True\n", + ")\n", + "last_time" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "id": "194ce82c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "last_data_time: 2016-12-31 22:00:00+00:00 (2016-12-31 22:00:00+00:00)\n", + " last_time: 2025-04-28 11:58:32.911695068+00:00 (2025-04-28 11:58:32.911695068+00:00)\n", + "updated last_data_time: 2025-04-28 11:58:35.047695068+00:00 (2025-04-28 11:58:35.047695068+00:00)\n" + ] + }, + { + "data": { + "text/html": [ + "
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timestamptemperaturetemp_feelpressurehumiditywind_speeddescriptiontype
02014-07-27 11:58:35.449695068+00:009.4722227.3888891015.130.8914.1197partly cloudyrain
12014-07-27 12:58:37.144695068+00:009.3555567.2277781015.630.8614.2646partly cloudyrain
22014-07-27 13:58:30.186695068+00:009.3777789.3777781015.940.893.9284mostly cloudyrain
32014-07-27 14:58:37.629695068+00:008.2888895.9444441016.410.8314.1036partly cloudyrain
42014-07-27 15:58:37.141695068+00:008.7555566.9777781016.510.8311.0446mostly cloudyrain
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964482025-01-05 06:58:37.241695068+00:0026.01666726.0166671014.360.4310.9963partly cloudyrain
964492025-01-05 07:58:31.115695068+00:0024.58333324.5833331015.160.4810.0947partly cloudyrain
964502025-01-05 08:58:34.482695068+00:0022.03888922.0388891015.660.568.9838partly cloudyrain
964512025-01-05 09:58:33.522695068+00:0021.52222221.5222221015.950.6010.5294partly cloudyrain
964522025-01-05 10:58:31.497695068+00:0020.43888920.4388891016.160.615.8765partly cloudyrain
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96453 rows × 8 columns

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" + ], + "text/plain": [ + " timestamp temperature temp_feel pressure \\\n", + "0 2014-07-27 11:58:35.449695068+00:00 9.472222 7.388889 1015.13 \n", + "1 2014-07-27 12:58:37.144695068+00:00 9.355556 7.227778 1015.63 \n", + "2 2014-07-27 13:58:30.186695068+00:00 9.377778 9.377778 1015.94 \n", + "3 2014-07-27 14:58:37.629695068+00:00 8.288889 5.944444 1016.41 \n", + "4 2014-07-27 15:58:37.141695068+00:00 8.755556 6.977778 1016.51 \n", + "... ... ... ... ... \n", + "96448 2025-01-05 06:58:37.241695068+00:00 26.016667 26.016667 1014.36 \n", + "96449 2025-01-05 07:58:31.115695068+00:00 24.583333 24.583333 1015.16 \n", + "96450 2025-01-05 08:58:34.482695068+00:00 22.038889 22.038889 1015.66 \n", + "96451 2025-01-05 09:58:33.522695068+00:00 21.522222 21.522222 1015.95 \n", + "96452 2025-01-05 10:58:31.497695068+00:00 20.438889 20.438889 1016.16 \n", + "\n", + " humidity wind_speed description type \n", + "0 0.89 14.1197 partly cloudy rain \n", + "1 0.86 14.2646 partly cloudy rain \n", + "2 0.89 3.9284 mostly cloudy rain \n", + "3 0.83 14.1036 partly cloudy rain \n", + "4 0.83 11.0446 mostly cloudy rain \n", + "... ... ... ... ... \n", + "96448 0.43 10.9963 partly cloudy rain \n", + "96449 0.48 10.0947 partly cloudy rain \n", + "96450 0.56 8.9838 partly cloudy rain \n", + "96451 0.60 10.5294 partly cloudy rain \n", + "96452 0.61 5.8765 partly cloudy rain \n", + "\n", + "[96453 rows x 8 columns]" + ] + }, + "execution_count": 78, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "## change timestamps to window up until current time\n", + "## also add some noise to the timestamps\n", + "\n", + "last_data_time = df[\"timestamp\"].max()\n", + "print(f\"last_data_time: {last_data_time} ({pd.Timestamp(last_data_time, unit='ms')})\")\n", + "print(f\" last_time: {last_time} ({pd.Timestamp(last_time, unit='ms')})\")\n", + "TIME_SHIFT = last_time - last_data_time\n", + "\n", + "tz = pytz.timezone('Europe/Brussels')\n", + "\n", + "df[\"timestamp\"] = df[\"timestamp\"].apply(\n", + " lambda x: x + TIME_SHIFT + pd.Timedelta(int(random.uniform(-5000, +5000)),unit='ms')\n", + ")\n", + "\n", + "last_data_time = df[\"timestamp\"].max()\n", + "print(f\"updated last_data_time: {last_data_time} ({pd.Timestamp(last_data_time, unit='ms')})\")\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "id": "746b7f10", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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temperaturetemp_feelpressurehumiditywind_speeddescriptiontyperesource
timestamp
2014-07-27 11:58:35.449695068+00:009.4722227.3888891015.130.8914.1197partly cloudyraintest_sarima_hourly
2014-07-27 12:58:37.144695068+00:009.3555567.2277781015.630.8614.2646partly cloudyraintest_sarima_hourly
2014-07-27 13:58:30.186695068+00:009.3777789.3777781015.940.893.9284mostly cloudyraintest_sarima_hourly
2014-07-27 14:58:37.629695068+00:008.2888895.9444441016.410.8314.1036partly cloudyraintest_sarima_hourly
2014-07-27 15:58:37.141695068+00:008.7555566.9777781016.510.8311.0446mostly cloudyraintest_sarima_hourly
...........................
2025-01-05 06:58:37.241695068+00:0026.01666726.0166671014.360.4310.9963partly cloudyraintest_sarima_hourly
2025-01-05 07:58:31.115695068+00:0024.58333324.5833331015.160.4810.0947partly cloudyraintest_sarima_hourly
2025-01-05 08:58:34.482695068+00:0022.03888922.0388891015.660.568.9838partly cloudyraintest_sarima_hourly
2025-01-05 09:58:33.522695068+00:0021.52222221.5222221015.950.6010.5294partly cloudyraintest_sarima_hourly
2025-01-05 10:58:31.497695068+00:0020.43888920.4388891016.160.615.8765partly cloudyraintest_sarima_hourly
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96453 rows × 8 columns

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" + ], + "text/plain": [ + " temperature temp_feel pressure \\\n", + "timestamp \n", + "2014-07-27 11:58:35.449695068+00:00 9.472222 7.388889 1015.13 \n", + "2014-07-27 12:58:37.144695068+00:00 9.355556 7.227778 1015.63 \n", + "2014-07-27 13:58:30.186695068+00:00 9.377778 9.377778 1015.94 \n", + "2014-07-27 14:58:37.629695068+00:00 8.288889 5.944444 1016.41 \n", + "2014-07-27 15:58:37.141695068+00:00 8.755556 6.977778 1016.51 \n", + "... ... ... ... \n", + "2025-01-05 06:58:37.241695068+00:00 26.016667 26.016667 1014.36 \n", + "2025-01-05 07:58:31.115695068+00:00 24.583333 24.583333 1015.16 \n", + "2025-01-05 08:58:34.482695068+00:00 22.038889 22.038889 1015.66 \n", + "2025-01-05 09:58:33.522695068+00:00 21.522222 21.522222 1015.95 \n", + "2025-01-05 10:58:31.497695068+00:00 20.438889 20.438889 1016.16 \n", + "\n", + " humidity wind_speed description \\\n", + "timestamp \n", + "2014-07-27 11:58:35.449695068+00:00 0.89 14.1197 partly cloudy \n", + "2014-07-27 12:58:37.144695068+00:00 0.86 14.2646 partly cloudy \n", + "2014-07-27 13:58:30.186695068+00:00 0.89 3.9284 mostly cloudy \n", + "2014-07-27 14:58:37.629695068+00:00 0.83 14.1036 partly cloudy \n", + "2014-07-27 15:58:37.141695068+00:00 0.83 11.0446 mostly cloudy \n", + "... ... ... ... \n", + "2025-01-05 06:58:37.241695068+00:00 0.43 10.9963 partly cloudy \n", + "2025-01-05 07:58:31.115695068+00:00 0.48 10.0947 partly cloudy \n", + "2025-01-05 08:58:34.482695068+00:00 0.56 8.9838 partly cloudy \n", + "2025-01-05 09:58:33.522695068+00:00 0.60 10.5294 partly cloudy \n", + "2025-01-05 10:58:31.497695068+00:00 0.61 5.8765 partly cloudy \n", + "\n", + " type resource \n", + "timestamp \n", + "2014-07-27 11:58:35.449695068+00:00 rain test_sarima_hourly \n", + "2014-07-27 12:58:37.144695068+00:00 rain test_sarima_hourly \n", + "2014-07-27 13:58:30.186695068+00:00 rain test_sarima_hourly \n", + "2014-07-27 14:58:37.629695068+00:00 rain test_sarima_hourly \n", + "2014-07-27 15:58:37.141695068+00:00 rain test_sarima_hourly \n", + "... ... ... \n", + "2025-01-05 06:58:37.241695068+00:00 rain test_sarima_hourly \n", + "2025-01-05 07:58:31.115695068+00:00 rain test_sarima_hourly \n", + "2025-01-05 08:58:34.482695068+00:00 rain test_sarima_hourly \n", + "2025-01-05 09:58:33.522695068+00:00 rain test_sarima_hourly \n", + "2025-01-05 10:58:31.497695068+00:00 rain test_sarima_hourly \n", + "\n", + "[96453 rows x 8 columns]" + ] + }, + "execution_count": 79, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "## add resource column and\n", + "df_hourly = df.copy().set_index('timestamp')\n", + "df_hourly['resource'] = HOURLY_RESOURCE_ID\n", + "df_hourly" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "id": "fd8aa636", + "metadata": {}, + "outputs": [], + "source": [ + "## save dataframe to csv file\n", + "df_hourly.to_csv(\"recentWeatherHistoryHourly.csv\")\n", + "\n", + "\n", + "## upload for import with https://console-aws.dev.waylay.io/storage/buckets/etl-import/upload " + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "id": "63e76db0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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temperaturetemp_feelpressurehumiditywind_speeddescriptiontyperesource
timestamp
2014-07-27 11:58:35.449695068+00:009.4722227.3888891015.130.8914.1197partly cloudyraintest_sarima_daily
2014-08-05 11:58:37.680695068+00:0010.42222210.4222221014.400.6216.9855partly cloudyraintest_sarima_daily
2014-08-06 11:58:37.321695068+00:0013.77222213.7722221007.360.6017.0982overcastraintest_sarima_daily
2014-08-07 11:58:36.254695068+00:008.2000005.0722221004.800.9620.4470foggyraintest_sarima_daily
2014-08-08 11:58:28.982695068+00:007.3166676.2111111007.070.756.6654mostly cloudyraintest_sarima_daily
...........................
2024-12-31 14:58:35.142695068+00:0016.77222216.7722221012.620.816.3434mostly cloudyraintest_sarima_daily
2025-01-01 14:58:33.568695068+00:0012.80000012.8000001014.160.966.5205partly cloudyraintest_sarima_daily
2025-01-02 14:58:28.045695068+00:0017.20000017.2000001021.690.9314.0231mostly cloudyraintest_sarima_daily
2025-01-03 14:58:29.491695068+00:0015.48888915.4888891018.630.933.0268partly cloudyraintest_sarima_daily
2025-01-04 14:58:32.705695068+00:0015.59444415.5944441014.520.873.2844clearraintest_sarima_daily
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4019 rows × 8 columns

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" + ], + "text/plain": [ + " temperature temp_feel pressure \\\n", + "timestamp \n", + "2014-07-27 11:58:35.449695068+00:00 9.472222 7.388889 1015.13 \n", + "2014-08-05 11:58:37.680695068+00:00 10.422222 10.422222 1014.40 \n", + "2014-08-06 11:58:37.321695068+00:00 13.772222 13.772222 1007.36 \n", + "2014-08-07 11:58:36.254695068+00:00 8.200000 5.072222 1004.80 \n", + "2014-08-08 11:58:28.982695068+00:00 7.316667 6.211111 1007.07 \n", + "... ... ... ... \n", + "2024-12-31 14:58:35.142695068+00:00 16.772222 16.772222 1012.62 \n", + "2025-01-01 14:58:33.568695068+00:00 12.800000 12.800000 1014.16 \n", + "2025-01-02 14:58:28.045695068+00:00 17.200000 17.200000 1021.69 \n", + "2025-01-03 14:58:29.491695068+00:00 15.488889 15.488889 1018.63 \n", + "2025-01-04 14:58:32.705695068+00:00 15.594444 15.594444 1014.52 \n", + "\n", + " humidity wind_speed description \\\n", + "timestamp \n", + "2014-07-27 11:58:35.449695068+00:00 0.89 14.1197 partly cloudy \n", + "2014-08-05 11:58:37.680695068+00:00 0.62 16.9855 partly cloudy \n", + "2014-08-06 11:58:37.321695068+00:00 0.60 17.0982 overcast \n", + "2014-08-07 11:58:36.254695068+00:00 0.96 20.4470 foggy \n", + "2014-08-08 11:58:28.982695068+00:00 0.75 6.6654 mostly cloudy \n", + "... ... ... ... \n", + "2024-12-31 14:58:35.142695068+00:00 0.81 6.3434 mostly cloudy \n", + "2025-01-01 14:58:33.568695068+00:00 0.96 6.5205 partly cloudy \n", + "2025-01-02 14:58:28.045695068+00:00 0.93 14.0231 mostly cloudy \n", + "2025-01-03 14:58:29.491695068+00:00 0.93 3.0268 partly cloudy \n", + "2025-01-04 14:58:32.705695068+00:00 0.87 3.2844 clear \n", + "\n", + " type resource \n", + "timestamp \n", + "2014-07-27 11:58:35.449695068+00:00 rain test_sarima_daily \n", + "2014-08-05 11:58:37.680695068+00:00 rain test_sarima_daily \n", + "2014-08-06 11:58:37.321695068+00:00 rain test_sarima_daily \n", + "2014-08-07 11:58:36.254695068+00:00 rain test_sarima_daily \n", + "2014-08-08 11:58:28.982695068+00:00 rain test_sarima_daily \n", + "... ... ... \n", + "2024-12-31 14:58:35.142695068+00:00 rain test_sarima_daily \n", + "2025-01-01 14:58:33.568695068+00:00 rain test_sarima_daily \n", + "2025-01-02 14:58:28.045695068+00:00 rain test_sarima_daily \n", + "2025-01-03 14:58:29.491695068+00:00 rain test_sarima_daily \n", + "2025-01-04 14:58:32.705695068+00:00 rain test_sarima_daily \n", + "\n", + "[4019 rows x 8 columns]" + ] + }, + "execution_count": 81, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_daily = df_hourly.iloc[::24, :].copy()\n", + "df_daily['resource'] = DAILY_RESOURCE_ID\n", + "df_daily" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "id": "0ca499cc", + "metadata": {}, + "outputs": [], + "source": [ + "df_daily.to_csv(\"recentWeatherHistoryDaily.csv\")\n", + "\n", + "## upload for import with https://console-aws.dev.waylay.io/storage/buckets/etl-import/upload " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "aa37b25b", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "NM_RES = [\n", + " [\"sarimaWeatherHistoryHourly\", HOURLY_RESOURCE_ID],\n", + " [\"sarimaWeatherHistoryDaily\", DAILY_RESOURCE_ID]\n", + "]\n", + "for [name, resource] in NM_RES:\n", + " query_def = {\n", + " \"name\": name,\n", + " \"query\": {\n", + " \"resource\": resource,\n", + " \"until\": \"now\",\n", + " \"from\": \"-P5D\",\n", + " \"data\": [\n", + " {\n", + " \"metric\": \"temperature\",\n", + " \"aggregation\": \"mean\"\n", + " },\n", + " {\n", + " \"metric\": \"temp_feel\",\n", + " \"aggregation\": \"mean\"\n", + " },\n", + " {\n", + " \"metric\": \"pressure\",\n", + " \"aggregation\": \"mean\"\n", + " },\n", + " {\n", + " \"metric\": \"wind_speed\",\n", + " \"aggregation\": \"mean\"\n", + " },\n", + " {\n", + " \"metric\": \"humidity\",\n", + " \"aggregation\": \"mean\"\n", + " }\n", + " ]\n", + " }\n", + " }\n", + " res = await client.queries.manage.create(json=query_def)\n", + " print(f'{name} query:\\n\\t{res.query}\\n')\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "id": "c1ad3e10", + "metadata": {}, + "outputs": [], + "source": [ + "[ data_set ] = await client.queries.execute.execute_by_name(\n", + " 'sarimaWeatherHistoryHourly', query={ 'from':'-P14D' }, select_path='data', response_type=list, timeout=10.0\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 126, + "id": "2ccddef1-d565-4e79-be31-3949f6e54551", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 126, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df = pd.DataFrame(data_set['data']).set_index(0)\n", + "df.index=pd.to_datetime(df.index, unit='ms', utc=True)\n", + "df.index.name=data_set['columns'][0]\n", + "col_attrs = data_set['columns'][1:]\n", + "col_names=['metric']\n", + "col_tuples=[ [ col[n] for n in col_names] for col in col_attrs ]\n", + "df.columns=pd.MultiIndex.from_tuples(col_tuples, names=col_names )\n", + "df[['humidity','temperature','wind_speed']].plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 133, + "id": "0eb41566-cdfb-46b3-a63e-06b11e87e3a6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 133, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "fig, ax1 = plt.subplots(1,1, figsize=(15,5))\n", + "df[['humidity','temperature','wind_speed', 'temp_feel']].plot(ax=ax1)\n", + "ax2 = ax1.twinx()\n", + "df[['pressure']].plot(ax=ax2)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cf65dd67-407a-4216-8697-b2627ec98a43", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}