doc/working_with_spiketools.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "78d343b3-4d10-461b-8cf4-afd9c002e5f1",
   "metadata": {},
   "source": [
    "### Using `pylabianca` with `spiketools`\n",
    "This short example demonstrates how one can use `pylabianca` in tandem with `spiketools`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c20330b5-be5f-4a61-b9af-cbcd1d2730e5",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pylabianca as pln"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "20f916c0-1998-488c-b050-e2ba73cbe36e",
   "metadata": {},
   "source": [
    "### Creating simulated data\n",
    "`spiketools` has multiple functions for simulating spike trains, we can use these functions and then turn the simulated spikes into `pylabianca` objects:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "864bf875-b7d7-4d26-a82f-573601d7c3ca",
   "metadata": {},
   "outputs": [],
   "source": [
    "from spiketools.sim.trials import sim_trials_poisson\n",
    "\n",
    "n_trials = 25\n",
    "rate_pre = 7.5\n",
    "rate_post = 15\n",
    "\n",
    "trial_spikes = sim_trials_poisson(n_trials, rate_pre, rate_post)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9678280d-bcef-44e9-887e-9613536b7436",
   "metadata": {},
   "source": [
    "`spiketools` uses numpy arrays (and lists of such arrays) for almost all operations:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3e3ce803-0435-4a68-947c-7080ed046d4a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'list'>\n",
      "<class 'numpy.ndarray'>\n"
     ]
    }
   ],
   "source": [
    "print(type(trial_spikes))\n",
    "print(type(trial_spikes[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3b9f4bdb-27ae-494b-b720-9c784394d06b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-0.77580685, -0.58236213, -0.43342559, -0.39446556, -0.17121901,\n",
       "        0.03090472,  0.09763637,  0.10404646,  0.32123901,  0.52747708])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trial_spikes[0][:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "85496e80-dbf5-4e04-b1f9-35d917356afd",
   "metadata": {},
   "source": [
    "We can use `pylabianca.io.from_spiketools()` to convert spiketools numpy data to pylabianca `SpikeEpochs`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c23e93d9-79bd-4be0-8fb7-c2b056da56be",
   "metadata": {},
   "outputs": [],
   "source": [
    "spk_epochs = pln.io.from_spiketools(trial_spikes, kind='trials')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fbed2953-27bd-4516-87e9-368bcfc34b4f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'cell = cell000'}, xlabel='Time (s)', ylabel='Firing density (Hz)'>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "frate = spk_epochs.spike_density(fwhm=0.2)\n",
    "pln.viz.plot_shaded(frate)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c1da728-9dc5-462e-ba75-427132e46b80",
   "metadata": {},
   "source": [
    "we can simulate another condition by simulating another set of trials with different `rate_post`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6a29059e-b473-4698-8554-006ff7b94fc0",
   "metadata": {},
   "outputs": [],
   "source": [
    "rate_post = 25\n",
    "trial_spikes2 = sim_trials_poisson(n_trials, rate_pre, rate_post)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b8309243-0b9d-4c93-adde-a528c5e1da74",
   "metadata": {},
   "outputs": [],
   "source": [
    "spk_epochs = pln.io.from_spiketools(trial_spikes + trial_spikes2, kind='trials')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e5c8c47-65ec-4a0e-a0e5-e1c6cc661477",
   "metadata": {},
   "source": [
    "now we can fill metadata and compare both conditions on one plot:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "837905c3-6e15-4844-8f70-beb5f7705ddb",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "conditions = [0] * 25 + [1] * 25\n",
    "spk_epochs.metadata = pd.DataFrame(dict(condition=conditions))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "603e4445-6f68-4f8b-aa3a-f6eb0b10e2b5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x13fcccbc690>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = pln.viz.plot_raster(spk_epochs, groupby='condition')\n",
    "ax.axvline(0., color='k', lw=2.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "7348f6c7-a9ca-4b8c-a95a-27ff3a003809",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'cell = cell000'}, xlabel='Time (s)', ylabel='Firing density (Hz)'>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "frate = spk_epochs.spike_density(fwhm=0.2)\n",
    "pln.viz.plot_shaded(frate, groupby='condition')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea235bd4-9c05-4aa2-b74d-0e3aa80d0e03",
   "metadata": {},
   "source": [
    "and perform cluster based test to see if the conditions differ:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "8560cb65-4f4a-4910-89f9-27c06fc1ba39",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:02<00:00, 436.48it/s]\n"
     ]
    }
   ],
   "source": [
    "n_permutations = 1_000\n",
    "stat, clusters, pvals = pln.stats.cluster_based_test(\n",
    "    frate[0], compare='condition', n_permutations=n_permutations)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "04da3c09-42a9-43ed-852b-aa36766f2e99",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'cell = cell000'}, xlabel='Time (s)', ylabel='Firing density (Hz)'>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pln.viz.plot_shaded(frate, groupby='condition')\n",
    "pln.viz.add_highlights(frate, clusters, pvals, min_pval=1/n_permutations)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e22cf169-76a8-49a0-a1dd-2611a516f409",
   "metadata": {},
   "source": [
    "### Using spiketools functions on SpikeEpochs object\n",
    "We can also use spiketools functions on pylabianca objects using the `.apply()` method:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "9a9c460d-46bc-4872-95a0-833503cb5180",
   "metadata": {},
   "outputs": [],
   "source": [
    "from spiketools.measures.spikes import compute_isis, compute_cv\n",
    "\n",
    "def compute_cv_from_spikes(data):\n",
    "    isi = compute_isis(data)\n",
    "    return compute_cv(isi)\n",
    "\n",
    "cvs = spk_epochs.apply(compute_cv_from_spikes)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "12d9d84b-496a-422a-9cf1-4d1d4f8338bb",
   "metadata": {},
   "source": [
    "the result will be an xarray:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "5f583506-c58b-4af1-b832-656ed0e33d5b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
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       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
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       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
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       "\n",
       "html[theme=dark],\n",
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       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
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       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
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       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
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       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
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       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
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       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
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       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
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       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
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       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
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       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (cell: 1, trial: 50)&gt;\n",
       "array([[0.87566858, 0.85873123, 0.83760299, 1.05557854, 1.11331804,\n",
       "        1.08289964, 0.98349395, 1.45333346, 0.91441272, 0.55268466,\n",
       "        1.04677084, 1.17615568, 0.80032242, 0.9122545 , 1.52804805,\n",
       "        1.07200417, 0.80282146, 0.99631529, 0.85432673, 1.4732719 ,\n",
       "        1.19037452, 1.29649776, 0.76205077, 0.94570606, 1.03327367,\n",
       "        1.2748918 , 1.1090416 , 1.21251431, 1.4166595 , 1.01259529,\n",
       "        1.1003769 , 1.09459907, 1.04437496, 1.08550496, 1.12456432,\n",
       "        1.06876419, 0.90968701, 1.27316426, 1.31754044, 1.17789211,\n",
       "        1.31396554, 1.64456159, 1.13927875, 1.07882943, 1.03890312,\n",
       "        1.58321094, 1.21194948, 0.88198091, 1.29926073, 0.98511463]])\n",
       "Coordinates:\n",
       "  * trial      (trial) int32 0 1 2 3 4 5 6 7 8 9 ... 41 42 43 44 45 46 47 48 49\n",
       "  * cell       (cell) &lt;U7 &#x27;cell000&#x27;\n",
       "    condition  (trial) int64 0 0 0 0 0 0 0 0 0 0 0 0 ... 1 1 1 1 1 1 1 1 1 1 1 1\n",
       "Attributes:\n",
       "    timewindow:  None</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>cell</span>: 1</li><li><span class='xr-has-index'>trial</span>: 50</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5725e61e-18fd-4d21-a577-2486f6c0e2cd' class='xr-array-in' type='checkbox' checked><label for='section-5725e61e-18fd-4d21-a577-2486f6c0e2cd' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.8757 0.8587 0.8376 1.056 1.113 ... 1.583 1.212 0.882 1.299 0.9851</span></div><div class='xr-array-data'><pre>array([[0.87566858, 0.85873123, 0.83760299, 1.05557854, 1.11331804,\n",
       "        1.08289964, 0.98349395, 1.45333346, 0.91441272, 0.55268466,\n",
       "        1.04677084, 1.17615568, 0.80032242, 0.9122545 , 1.52804805,\n",
       "        1.07200417, 0.80282146, 0.99631529, 0.85432673, 1.4732719 ,\n",
       "        1.19037452, 1.29649776, 0.76205077, 0.94570606, 1.03327367,\n",
       "        1.2748918 , 1.1090416 , 1.21251431, 1.4166595 , 1.01259529,\n",
       "        1.1003769 , 1.09459907, 1.04437496, 1.08550496, 1.12456432,\n",
       "        1.06876419, 0.90968701, 1.27316426, 1.31754044, 1.17789211,\n",
       "        1.31396554, 1.64456159, 1.13927875, 1.07882943, 1.03890312,\n",
       "        1.58321094, 1.21194948, 0.88198091, 1.29926073, 0.98511463]])</pre></div></div></li><li class='xr-section-item'><input id='section-e9a066c6-402b-45a6-b927-7bd3de16458e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e9a066c6-402b-45a6-b927-7bd3de16458e' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>trial</span></div><div class='xr-var-dims'>(trial)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 44 45 46 47 48 49</div><input id='attrs-c44dd1d9-362a-49b8-927a-536a7eac1f39' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c44dd1d9-362a-49b8-927a-536a7eac1f39' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-894114ee-6a20-4cbd-bb28-fbbcf5dd1098' class='xr-var-data-in' type='checkbox'><label for='data-894114ee-6a20-4cbd-bb28-fbbcf5dd1098' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>cell</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>&lt;U7</div><div class='xr-var-preview xr-preview'>&#x27;cell000&#x27;</div><input id='attrs-720112e5-302d-4702-a9cb-64c679e2c52f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-720112e5-302d-4702-a9cb-64c679e2c52f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b097006-244f-46b4-8277-7bac5b498c0d' class='xr-var-data-in' type='checkbox'><label for='data-7b097006-244f-46b4-8277-7bac5b498c0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;cell000&#x27;], dtype=&#x27;&lt;U7&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>condition</span></div><div class='xr-var-dims'>(trial)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 1 1 1 1 1 1 1 1</div><input id='attrs-9c71e7db-64ed-4343-ab5f-3bed09fc25a4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9c71e7db-64ed-4343-ab5f-3bed09fc25a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-546481a6-0652-416f-a3a6-5a193ac85a8a' class='xr-var-data-in' type='checkbox'><label for='data-546481a6-0652-416f-a3a6-5a193ac85a8a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
       "       1, 1, 1, 1, 1, 1], dtype=int64)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d8c28565-8a6f-4b12-a4a8-426d578adfb0' class='xr-section-summary-in' type='checkbox'  ><label for='section-d8c28565-8a6f-4b12-a4a8-426d578adfb0' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>trial</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-50e4be3e-f23d-4fd0-9cf7-e2ed4c4c55ab' class='xr-index-data-in' type='checkbox'/><label for='index-50e4be3e-f23d-4fd0-9cf7-e2ed4c4c55ab' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49],\n",
       "      dtype=&#x27;int32&#x27;, name=&#x27;trial&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>cell</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e0af1e04-825c-4482-b2f5-dcf7f1a7b7e2' class='xr-index-data-in' type='checkbox'/><label for='index-e0af1e04-825c-4482-b2f5-dcf7f1a7b7e2' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;cell000&#x27;], dtype=&#x27;object&#x27;, name=&#x27;cell&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6a0248c2-1f3a-4807-926f-be119c3f124c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6a0248c2-1f3a-4807-926f-be119c3f124c' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>timewindow :</span></dt><dd>None</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (cell: 1, trial: 50)>\n",
       "array([[0.87566858, 0.85873123, 0.83760299, 1.05557854, 1.11331804,\n",
       "        1.08289964, 0.98349395, 1.45333346, 0.91441272, 0.55268466,\n",
       "        1.04677084, 1.17615568, 0.80032242, 0.9122545 , 1.52804805,\n",
       "        1.07200417, 0.80282146, 0.99631529, 0.85432673, 1.4732719 ,\n",
       "        1.19037452, 1.29649776, 0.76205077, 0.94570606, 1.03327367,\n",
       "        1.2748918 , 1.1090416 , 1.21251431, 1.4166595 , 1.01259529,\n",
       "        1.1003769 , 1.09459907, 1.04437496, 1.08550496, 1.12456432,\n",
       "        1.06876419, 0.90968701, 1.27316426, 1.31754044, 1.17789211,\n",
       "        1.31396554, 1.64456159, 1.13927875, 1.07882943, 1.03890312,\n",
       "        1.58321094, 1.21194948, 0.88198091, 1.29926073, 0.98511463]])\n",
       "Coordinates:\n",
       "  * trial      (trial) int32 0 1 2 3 4 5 6 7 8 9 ... 41 42 43 44 45 46 47 48 49\n",
       "  * cell       (cell) <U7 'cell000'\n",
       "    condition  (trial) int64 0 0 0 0 0 0 0 0 0 0 0 0 ... 1 1 1 1 1 1 1 1 1 1 1 1\n",
       "Attributes:\n",
       "    timewindow:  None"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cvs"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a0601a05-adc8-4677-9ed6-6429a70a6785",
   "metadata": {},
   "source": [
    "because the resulting xarray inherited the condition information, we can now average coefficient of variation by condition:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "2bbae85c-18c9-4d90-8a31-68e66e8993f3",
   "metadata": {},
   "outputs": [
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       "  * condition  (condition) int64 0 1\n",
       "Attributes:\n",
       "    timewindow:  None</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>cell</span>: 1</li><li><span class='xr-has-index'>condition</span>: 2</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a2af0898-2efc-4864-a0e4-adb7ac6e1c79' class='xr-array-in' type='checkbox' checked><label for='section-a2af0898-2efc-4864-a0e4-adb7ac6e1c79' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.025 1.176</span></div><div class='xr-array-data'><pre>array([[1.02471671, 1.17596903]])</pre></div></div></li><li class='xr-section-item'><input id='section-0f4dc7af-0138-44eb-aad3-41f825032cc6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0f4dc7af-0138-44eb-aad3-41f825032cc6' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>cell</span></div><div class='xr-var-dims'>(cell)</div><div class='xr-var-dtype'>&lt;U7</div><div class='xr-var-preview xr-preview'>&#x27;cell000&#x27;</div><input id='attrs-c013934b-9ca5-40d4-a843-3419f2e946fa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c013934b-9ca5-40d4-a843-3419f2e946fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50dc11a5-0f57-499b-a868-d9e3ac879ebb' class='xr-var-data-in' type='checkbox'><label for='data-50dc11a5-0f57-499b-a868-d9e3ac879ebb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;cell000&#x27;], dtype=&#x27;&lt;U7&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>condition</span></div><div class='xr-var-dims'>(condition)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1</div><input id='attrs-085eb3bf-ad87-4e75-8100-679a438b4da7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-085eb3bf-ad87-4e75-8100-679a438b4da7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e8d3a7d-9200-4f86-94b1-fcb3852b12c1' class='xr-var-data-in' type='checkbox'><label for='data-9e8d3a7d-9200-4f86-94b1-fcb3852b12c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1], dtype=int64)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d640a9ba-1a46-4cd6-a0fd-ec8a4d07d25f' class='xr-section-summary-in' type='checkbox'  ><label for='section-d640a9ba-1a46-4cd6-a0fd-ec8a4d07d25f' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>cell</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4355ff3f-17b5-4ef5-903d-1039e4ae3acb' class='xr-index-data-in' type='checkbox'/><label for='index-4355ff3f-17b5-4ef5-903d-1039e4ae3acb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([&#x27;cell000&#x27;], dtype=&#x27;object&#x27;, name=&#x27;cell&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>condition</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6cbb5816-9512-43c3-ba9b-657cf6edf770' class='xr-index-data-in' type='checkbox'/><label for='index-6cbb5816-9512-43c3-ba9b-657cf6edf770' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1], dtype=&#x27;int64&#x27;, name=&#x27;condition&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-029d893c-d599-4883-9665-86d00d8ffdb3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-029d893c-d599-4883-9665-86d00d8ffdb3' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>timewindow :</span></dt><dd>None</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (cell: 1, condition: 2)>\n",
       "array([[1.02471671, 1.17596903]])\n",
       "Coordinates:\n",
       "  * cell       (cell) <U7 'cell000'\n",
       "  * condition  (condition) int64 0 1\n",
       "Attributes:\n",
       "    timewindow:  None"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cvs.groupby('condition').mean()"
   ]
  }
 ],
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