add countme files

Author: antheas

.gitignore

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+*.csv*
+venv
+*.png

countme.py

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+import pandas as pd
+import numpy as np
+import matplotlib.pyplot as plt
+import datetime
+
+plt.style.use("default")
+plt.style.use("./cyberpunk.mplstyle")
+
+#
+# Load data
+#
+
+print("Loading data...")
+# https://data-analysis.fedoraproject.org/csv-reports/countme/totals.csv
+orig = pd.read_csv(
+    "totals.csv",
+    usecols=["week_end", "repo_tag", "os_variant", "hits"],
+    parse_dates=["week_end"],
+    # low_memory=False,
+    dtype={
+        "repo_tag": "object",
+        "os_variant": "category",
+    },
+)
+
+# # Detailed data
+# orig = pd.read_csv(
+#     "totals.csv",
+#     parse_dates=["week_start", "week_end"],
+#     # low_memory=False,
+#     dtype={
+#         "repo_tag": "object",
+#         "repo_arch": "object",
+#         "os_name": "category",
+#         "os_version": "category",
+#         "os_variant": "category",
+#         "os_arch": "category",
+#     },
+# )
+
+# Select repos and filter outages
+print("Plotting...")
+d = orig[
+    orig["repo_tag"].isin(
+        [
+            *[f"fedora-{v}" for v in range(30, 45)],
+            # *[f"fedora-cisco-openh264-{v}" for v in range(40, 41)],
+        ]
+    )
+]
+
+d = d[
+    # End of year partial week
+    (d["week_end"] != pd.to_datetime("2024-12-29"))
+    # & (d["week_end"] != pd.to_datetime("2023-10-23"))
+]
+
+START_DATE = "2024-07-01"  # "2021-3-1"
+END_DATE = datetime.datetime.now()  # "2025-02-02"
+
+for fig, oss in [
+    ("ublue", ["Bluefin", "Bazzite", "Aurora"]),
+    ("nonbazzite", ["Bluefin", "Aurora"]),
+]:
+    plt.figure()
+    for os in oss:
+        mask = d["os_variant"].str.lower().str.contains(os.lower(), na=False)
+        res = d[mask].groupby("week_end")["hits"].sum()
+        plt.plot(res.index, res.values, label=f"{os} ({res[res.index.max()] / 1000:.1f}k)")  # type: ignore
+        # print(res)
+
+    plt.title("Active Devices per Week")
+    plt.xlabel("Week")
+    plt.ylabel("Hits")
+
+    plt.xlim([pd.to_datetime(START_DATE), pd.to_datetime(END_DATE)])
+
+    plt.xticks(rotation=45)
+    plt.legend()
+    plt.tight_layout()
+
+    plt.savefig(f"growth_{fig}.png")

cyberpunk.mplstyle

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+# from seaborn dark
+legend.frameon: False
+legend.numpoints: 1
+legend.scatterpoints: 1
+xtick.direction: out
+ytick.direction: out
+#xtick.color: #2A3459
+#ytick.color: #2A3459
+axes.axisbelow: True
+axes.grid: True
+font.family: sans-serif
+font.sans-serif: Arial, Liberation Sans, DejaVu Sans, Bitstream Vera Sans, sans-serif
+grid.linestyle: -
+lines.solid_capstyle: round
+axes.linewidth: 0
+xtick.major.size: 0
+ytick.major.size: 0
+xtick.minor.size: 0
+ytick.minor.size: 0
+
+
+# neon colors: teal/cyan, pink, yellow, matrix green, red, violet
+axes.prop_cycle: cycler('color', ['08F7FE', 'FE53BB', 'F5D300', '00ff41', 'r', '9467bd', ])
+
+image.cmap: cool
+
+# font color: very light grey
+text.color: 0.9
+axes.labelcolor: 0.9
+xtick.color: 0.9
+ytick.color: 0.9
+
+# background: bluish dark grey
+figure.facecolor: 212946
+axes.facecolor: 212946
+savefig.facecolor: 212946
+
+# grid: bluish dark grey, slightly lighter than background
+grid.color: 2A3459

graph.sh

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+#!/bin/bash
+
+pip3 install -r requirements.txt
+
+wget https://data-analysis.fedoraproject.org/csv-reports/countme/totals.csv
+
+python3 countme.py

requirements.in

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+pandas
+numpy
+matplotlib

requirements.txt

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+#
+# This file is autogenerated by pip-compile with Python 3.13
+# by the following command:
+#
+#    pip-compile
+#
+contourpy==1.3.1
+    # via matplotlib
+cycler==0.12.1
+    # via matplotlib
+fonttools==4.55.8
+    # via matplotlib
+kiwisolver==1.4.8
+    # via matplotlib
+matplotlib==3.10.0
+    # via -r requirements.in
+numpy==2.2.2
+    # via
+    #   -r requirements.in
+    #   contourpy
+    #   matplotlib
+    #   pandas
+packaging==24.2
+    # via matplotlib
+pandas==2.2.3
+    # via -r requirements.in
+pillow==11.1.0
+    # via matplotlib
+pyparsing==3.2.1
+    # via matplotlib
+python-dateutil==2.9.0.post0
+    # via
+    #   matplotlib
+    #   pandas
+pytz==2025.1
+    # via pandas
+six==1.17.0
+    # via python-dateutil
+tzdata==2025.1
+    # via pandas