stats.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/asm/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/scanpy/preprocessing/_normalization.py:207: UserWarning: Received a view of an AnnData. Making a copy.\n",
      "  view_to_actual(adata)\n"
     ]
    }
   ],
   "source": [
    "import scanpy as sc\n",
    "from pf2barcode.imports import import_CCLE\n",
    "import seaborn as sns\n",
    "\n",
    "X = import_CCLE()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'pca': {'params': {'zero_center': True,\n",
       "   'use_highly_variable': False,\n",
       "   'mask_var': None},\n",
       "  'variance': array([19.43747651, 10.21894986,  7.18932067,  4.84639238,  3.1443771 ,\n",
       "          2.98255997,  2.61459366,  2.23094505,  2.20021238,  2.07758423,\n",
       "          1.94217491,  1.86826072,  1.82087975,  1.78409634,  1.7299682 ,\n",
       "          1.70664204,  1.6500219 ,  1.62289631,  1.58015074,  1.57155409,\n",
       "          1.56140989,  1.53829656,  1.52403708,  1.5022633 ,  1.49598535,\n",
       "          1.49234706,  1.48736524,  1.4667707 ,  1.46519013,  1.4560538 ]),\n",
       "  'variance_ratio': array([0.01921387, 0.01010139, 0.00710662, 0.00479064, 0.00310821,\n",
       "         0.00294825, 0.00258452, 0.00220528, 0.0021749 , 0.00205368,\n",
       "         0.00191983, 0.00184677, 0.00179993, 0.00176357, 0.00171007,\n",
       "         0.00168701, 0.00163104, 0.00160423, 0.00156197, 0.00155348,\n",
       "         0.00154345, 0.0015206 , 0.0015065 , 0.00148498, 0.00147878,\n",
       "         0.00147518, 0.00147025, 0.0014499 , 0.00144833, 0.0014393 ])}}"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Xsel = X[:, X.var.index.str.contains('AXL')]\n",
    "Xsel.uns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1455.6x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc.pl.pca(X, color=\"SW\", components=['1,2', '3,4'], size=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, '-log10(p-value)')"
      ]
     },
     "execution_count": 4,
     "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": [
    "import numpy as np\n",
    "from scipy.stats import kruskal\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "idx_selected = 0\n",
    "cells = []\n",
    "pvalues = np.zeros(X.obsm[\"X_pca\"].shape[1])\n",
    "\n",
    "for jj in range(X.obsm[\"X_pca\"].shape[1]):\n",
    "    for barcodes in X.obs[\"SW\"].unique():\n",
    "        cells_selected = X.obsm[\"X_pca\"][X.obs[\"SW\"] == barcodes, idx_selected]\n",
    "        cells.append(cells_selected.flatten())\n",
    "\n",
    "    pvalues[jj] = kruskal(*cells).pvalue\n",
    "\n",
    "sns.barplot(x=np.arange(pvalues.shape[0]), y=-np.log10(pvalues))\n",
    "plt.xlabel(\"PC\")\n",
    "plt.ylabel(\"-log10(p-value)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/pdf": 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      ],
      "text/plain": [
       "<Figure size 1280x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc.pl.pca_loadings(X, components = '7,24')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING: dendrogram data not found (using key=dendrogram_SW). Running `sc.tl.dendrogram` with default parameters. For fine tuning it is recommended to run `sc.tl.dendrogram` independently.\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1500x400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import anndata\n",
    "\n",
    "pcann = anndata.AnnData(X.obsm[\"X_pca\"], var=[f\"PC {ii}\" for ii in range(X.obsm[\"X_pca\"].shape[1])], obs=X.obs)\n",
    "pcann.X /= np.linalg.norm(pcann.X, axis=0)\n",
    "\n",
    "sc.pl.heatmap(pcann, pcann.var_names, groupby=\"SW\", dendrogram=True, swap_axes=True, figsize=(15, 4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_3977833/2049082153.py:5: DeprecationWarning: `set_matplotlib_formats` is deprecated since IPython 7.23, directly use `matplotlib_inline.backend_inline.set_matplotlib_formats()`\n",
      "  set_matplotlib_formats('pdf', 'svg')\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[7], line 11\u001b[0m\n\u001b[1;32m      8\u001b[0m df[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSW\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m pcann\u001b[38;5;241m.\u001b[39mobs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSW\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[1;32m      9\u001b[0m df \u001b[38;5;241m=\u001b[39m df[df[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSW\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m!=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124munknown\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[0;32m---> 11\u001b[0m \u001b[43msns\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpairplot\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mhue\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mSW\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mheight\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1.25\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mplot_kws\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m{\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43ms\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m5\u001b[39;49m\u001b[43m}\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcorner\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m;\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/seaborn/axisgrid.py:2163\u001b[0m, in \u001b[0;36mpairplot\u001b[0;34m(data, hue, hue_order, palette, vars, x_vars, y_vars, kind, diag_kind, markers, height, aspect, corner, dropna, plot_kws, diag_kws, grid_kws, size)\u001b[0m\n\u001b[1;32m   2161\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m kind \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mscatter\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m   2162\u001b[0m     \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mrelational\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m scatterplot  \u001b[38;5;66;03m# Avoid circular import\u001b[39;00m\n\u001b[0;32m-> 2163\u001b[0m     \u001b[43mplotter\u001b[49m\u001b[43m(\u001b[49m\u001b[43mscatterplot\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mplot_kws\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   2164\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m kind \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mreg\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m   2165\u001b[0m     \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mregression\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m regplot  \u001b[38;5;66;03m# Avoid circular import\u001b[39;00m\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/seaborn/axisgrid.py:1425\u001b[0m, in \u001b[0;36mPairGrid.map_offdiag\u001b[0;34m(self, func, **kwargs)\u001b[0m\n\u001b[1;32m   1414\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"Plot with a bivariate function on the off-diagonal subplots.\u001b[39;00m\n\u001b[1;32m   1415\u001b[0m \n\u001b[1;32m   1416\u001b[0m \u001b[38;5;124;03mParameters\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   1422\u001b[0m \n\u001b[1;32m   1423\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m   1424\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msquare_grid:\n\u001b[0;32m-> 1425\u001b[0m     \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmap_lower\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfunc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1426\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_corner:\n\u001b[1;32m   1427\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmap_upper(func, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/seaborn/axisgrid.py:1395\u001b[0m, in \u001b[0;36mPairGrid.map_lower\u001b[0;34m(self, func, **kwargs)\u001b[0m\n\u001b[1;32m   1384\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"Plot with a bivariate function on the lower diagonal subplots.\u001b[39;00m\n\u001b[1;32m   1385\u001b[0m \n\u001b[1;32m   1386\u001b[0m \u001b[38;5;124;03mParameters\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   1392\u001b[0m \n\u001b[1;32m   1393\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m   1394\u001b[0m indices \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mzip\u001b[39m(\u001b[38;5;241m*\u001b[39mnp\u001b[38;5;241m.\u001b[39mtril_indices_from(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39maxes, \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m))\n\u001b[0;32m-> 1395\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_map_bivariate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfunc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindices\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1396\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/seaborn/axisgrid.py:1574\u001b[0m, in \u001b[0;36mPairGrid._map_bivariate\u001b[0;34m(self, func, indices, **kwargs)\u001b[0m\n\u001b[1;32m   1572\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m ax \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:  \u001b[38;5;66;03m# i.e. we are in corner mode\u001b[39;00m\n\u001b[1;32m   1573\u001b[0m         \u001b[38;5;28;01mcontinue\u001b[39;00m\n\u001b[0;32m-> 1574\u001b[0m     \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_plot_bivariate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx_var\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my_var\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43max\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfunc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkws\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1575\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_add_axis_labels()\n\u001b[1;32m   1577\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhue\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01min\u001b[39;00m signature(func)\u001b[38;5;241m.\u001b[39mparameters:\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/seaborn/axisgrid.py:1615\u001b[0m, in \u001b[0;36mPairGrid._plot_bivariate\u001b[0;34m(self, x_var, y_var, ax, func, **kwargs)\u001b[0m\n\u001b[1;32m   1611\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhue\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m kwargs:\n\u001b[1;32m   1612\u001b[0m     kwargs\u001b[38;5;241m.\u001b[39mupdate({\n\u001b[1;32m   1613\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhue\u001b[39m\u001b[38;5;124m\"\u001b[39m: hue, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhue_order\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_hue_order, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpalette\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_orig_palette,\n\u001b[1;32m   1614\u001b[0m     })\n\u001b[0;32m-> 1615\u001b[0m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43my\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1617\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_update_legend_data(ax)\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/seaborn/relational.py:636\u001b[0m, in \u001b[0;36mscatterplot\u001b[0;34m(data, x, y, hue, size, style, palette, hue_order, hue_norm, sizes, size_order, size_norm, markers, style_order, legend, ax, **kwargs)\u001b[0m\n\u001b[1;32m    633\u001b[0m color \u001b[38;5;241m=\u001b[39m kwargs\u001b[38;5;241m.\u001b[39mpop(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcolor\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m)\n\u001b[1;32m    634\u001b[0m kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcolor\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m _default_color(ax\u001b[38;5;241m.\u001b[39mscatter, hue, color, kwargs)\n\u001b[0;32m--> 636\u001b[0m \u001b[43mp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mplot\u001b[49m\u001b[43m(\u001b[49m\u001b[43max\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    638\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m ax\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/seaborn/relational.py:467\u001b[0m, in \u001b[0;36m_ScatterPlotter.plot\u001b[0;34m(self, ax, kws)\u001b[0m\n\u001b[1;32m    465\u001b[0m handles, _ \u001b[38;5;241m=\u001b[39m ax\u001b[38;5;241m.\u001b[39mget_legend_handles_labels()\n\u001b[1;32m    466\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m handles:\n\u001b[0;32m--> 467\u001b[0m     legend \u001b[38;5;241m=\u001b[39m \u001b[43max\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlegend\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtitle\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlegend_title\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    468\u001b[0m     adjust_legend_subtitles(legend)\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/matplotlib/axes/_axes.py:342\u001b[0m, in \u001b[0;36mAxes.legend\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    225\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    226\u001b[0m \u001b[38;5;124;03mPlace a legend on the Axes.\u001b[39;00m\n\u001b[1;32m    227\u001b[0m \n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    339\u001b[0m \u001b[38;5;124;03m.. plot:: gallery/text_labels_and_annotations/legend.py\u001b[39;00m\n\u001b[1;32m    340\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    341\u001b[0m handles, labels, kwargs \u001b[38;5;241m=\u001b[39m mlegend\u001b[38;5;241m.\u001b[39m_parse_legend_args([\u001b[38;5;28mself\u001b[39m], \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m--> 342\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlegend_ \u001b[38;5;241m=\u001b[39m \u001b[43mmlegend\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mLegend\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mhandles\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlabels\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    343\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlegend_\u001b[38;5;241m.\u001b[39m_remove_method \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_remove_legend\n\u001b[1;32m    344\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlegend_\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/matplotlib/legend.py:563\u001b[0m, in \u001b[0;36mLegend.__init__\u001b[0;34m(self, parent, handles, labels, loc, numpoints, markerscale, markerfirst, reverse, scatterpoints, scatteryoffsets, prop, fontsize, labelcolor, borderpad, labelspacing, handlelength, handleheight, handletextpad, borderaxespad, columnspacing, ncols, mode, fancybox, shadow, title, title_fontsize, framealpha, edgecolor, facecolor, bbox_to_anchor, bbox_transform, frameon, handler_map, title_fontproperties, alignment, ncol, draggable)\u001b[0m\n\u001b[1;32m    560\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_alignment \u001b[38;5;241m=\u001b[39m alignment\n\u001b[1;32m    562\u001b[0m \u001b[38;5;66;03m# init with null renderer\u001b[39;00m\n\u001b[0;32m--> 563\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_init_legend_box\u001b[49m\u001b[43m(\u001b[49m\u001b[43mhandles\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlabels\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmarkerfirst\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    565\u001b[0m \u001b[38;5;66;03m# Set legend location\u001b[39;00m\n\u001b[1;32m    566\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mset_loc(loc)\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/matplotlib/legend.py:910\u001b[0m, in \u001b[0;36mLegend._init_legend_box\u001b[0;34m(self, handles, labels, markerfirst)\u001b[0m\n\u001b[1;32m    907\u001b[0m         text_list\u001b[38;5;241m.\u001b[39mappend(textbox\u001b[38;5;241m.\u001b[39m_text)\n\u001b[1;32m    908\u001b[0m         \u001b[38;5;66;03m# Create the artist for the legend which represents the\u001b[39;00m\n\u001b[1;32m    909\u001b[0m         \u001b[38;5;66;03m# original artist/handle.\u001b[39;00m\n\u001b[0;32m--> 910\u001b[0m         handle_list\u001b[38;5;241m.\u001b[39mappend(\u001b[43mhandler\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlegend_artist\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43morig_handle\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    911\u001b[0m \u001b[43m                                                 \u001b[49m\u001b[43mfontsize\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mhandlebox\u001b[49m\u001b[43m)\u001b[49m)\n\u001b[1;32m    912\u001b[0m         handles_and_labels\u001b[38;5;241m.\u001b[39mappend((handlebox, textbox))\n\u001b[1;32m    914\u001b[0m columnbox \u001b[38;5;241m=\u001b[39m []\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/matplotlib/legend_handler.py:129\u001b[0m, in \u001b[0;36mHandlerBase.legend_artist\u001b[0;34m(self, legend, orig_handle, fontsize, handlebox)\u001b[0m\n\u001b[1;32m    105\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    106\u001b[0m \u001b[38;5;124;03mReturn the artist that this HandlerBase generates for the given\u001b[39;00m\n\u001b[1;32m    107\u001b[0m \u001b[38;5;124;03moriginal artist/handle.\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    122\u001b[0m \n\u001b[1;32m    123\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    124\u001b[0m xdescent, ydescent, width, height \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39madjust_drawing_area(\n\u001b[1;32m    125\u001b[0m          legend, orig_handle,\n\u001b[1;32m    126\u001b[0m          handlebox\u001b[38;5;241m.\u001b[39mxdescent, handlebox\u001b[38;5;241m.\u001b[39mydescent,\n\u001b[1;32m    127\u001b[0m          handlebox\u001b[38;5;241m.\u001b[39mwidth, handlebox\u001b[38;5;241m.\u001b[39mheight,\n\u001b[1;32m    128\u001b[0m          fontsize)\n\u001b[0;32m--> 129\u001b[0m artists \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcreate_artists\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlegend\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43morig_handle\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    130\u001b[0m \u001b[43m                              \u001b[49m\u001b[43mxdescent\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mydescent\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mwidth\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mheight\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    131\u001b[0m \u001b[43m                              \u001b[49m\u001b[43mfontsize\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mhandlebox\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_transform\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    133\u001b[0m \u001b[38;5;66;03m# create_artists will return a list of artists.\u001b[39;00m\n\u001b[1;32m    134\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m a \u001b[38;5;129;01min\u001b[39;00m artists:\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/matplotlib/legend_handler.py:303\u001b[0m, in \u001b[0;36mHandlerLine2D.create_artists\u001b[0;34m(self, legend, orig_handle, xdescent, ydescent, width, height, fontsize, trans)\u001b[0m\n\u001b[1;32m    300\u001b[0m ydata \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mfull_like(xdata, (height \u001b[38;5;241m-\u001b[39m ydescent) \u001b[38;5;241m/\u001b[39m \u001b[38;5;241m2\u001b[39m)\n\u001b[1;32m    301\u001b[0m legline \u001b[38;5;241m=\u001b[39m Line2D(xdata, ydata, markevery\u001b[38;5;241m=\u001b[39mmarkevery)\n\u001b[0;32m--> 303\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mupdate_prop\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlegline\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43morig_handle\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlegend\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    305\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m legend\u001b[38;5;241m.\u001b[39mmarkerscale \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[1;32m    306\u001b[0m     newsz \u001b[38;5;241m=\u001b[39m legline\u001b[38;5;241m.\u001b[39mget_markersize() \u001b[38;5;241m*\u001b[39m legend\u001b[38;5;241m.\u001b[39mmarkerscale\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/matplotlib/legend_handler.py:88\u001b[0m, in \u001b[0;36mHandlerBase.update_prop\u001b[0;34m(self, legend_handle, orig_handle, legend)\u001b[0m\n\u001b[1;32m     86\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mupdate_prop\u001b[39m(\u001b[38;5;28mself\u001b[39m, legend_handle, orig_handle, legend):\n\u001b[0;32m---> 88\u001b[0m     \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_update_prop\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlegend_handle\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43morig_handle\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     90\u001b[0m     legend\u001b[38;5;241m.\u001b[39m_set_artist_props(legend_handle)\n\u001b[1;32m     91\u001b[0m     legend_handle\u001b[38;5;241m.\u001b[39mset_clip_box(\u001b[38;5;28;01mNone\u001b[39;00m)\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/matplotlib/legend_handler.py:79\u001b[0m, in \u001b[0;36mHandlerBase._update_prop\u001b[0;34m(self, legend_handle, orig_handle)\u001b[0m\n\u001b[1;32m     77\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_update_prop\u001b[39m(\u001b[38;5;28mself\u001b[39m, legend_handle, orig_handle):\n\u001b[1;32m     78\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_update_prop_func \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m---> 79\u001b[0m         \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_default_update_prop\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlegend_handle\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43morig_handle\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     80\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m     81\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_update_prop_func(legend_handle, orig_handle)\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/matplotlib/legend_handler.py:84\u001b[0m, in \u001b[0;36mHandlerBase._default_update_prop\u001b[0;34m(self, legend_handle, orig_handle)\u001b[0m\n\u001b[1;32m     83\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_default_update_prop\u001b[39m(\u001b[38;5;28mself\u001b[39m, legend_handle, orig_handle):\n\u001b[0;32m---> 84\u001b[0m     \u001b[43mlegend_handle\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mupdate_from\u001b[49m\u001b[43m(\u001b[49m\u001b[43morig_handle\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/matplotlib/lines.py:1357\u001b[0m, in \u001b[0;36mLine2D.update_from\u001b[0;34m(self, other)\u001b[0m\n\u001b[1;32m   1354\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_solidjoinstyle \u001b[38;5;241m=\u001b[39m other\u001b[38;5;241m.\u001b[39m_solidjoinstyle\n\u001b[1;32m   1356\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_linestyle \u001b[38;5;241m=\u001b[39m other\u001b[38;5;241m.\u001b[39m_linestyle\n\u001b[0;32m-> 1357\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_marker \u001b[38;5;241m=\u001b[39m \u001b[43mMarkerStyle\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmarker\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mother\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_marker\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1358\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_drawstyle \u001b[38;5;241m=\u001b[39m other\u001b[38;5;241m.\u001b[39m_drawstyle\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/matplotlib/markers.py:248\u001b[0m, in \u001b[0;36mMarkerStyle.__init__\u001b[0;34m(self, marker, fillstyle, transform, capstyle, joinstyle)\u001b[0m\n\u001b[1;32m    246\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_user_joinstyle \u001b[38;5;241m=\u001b[39m JoinStyle(joinstyle) \u001b[38;5;28;01mif\u001b[39;00m joinstyle \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m    247\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_set_fillstyle(fillstyle)\n\u001b[0;32m--> 248\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_set_marker\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmarker\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/matplotlib/markers.py:323\u001b[0m, in \u001b[0;36mMarkerStyle._set_marker\u001b[0;34m(self, marker)\u001b[0m\n\u001b[1;32m    321\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_marker_function \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_set_tuple_marker\n\u001b[1;32m    322\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(marker, MarkerStyle):\n\u001b[0;32m--> 323\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__dict__\u001b[39m \u001b[38;5;241m=\u001b[39m \u001b[43mcopy\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdeepcopy\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmarker\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;18;43m__dict__\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m    324\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    325\u001b[0m     \u001b[38;5;28;01mtry\u001b[39;00m:\n",
      "File \u001b[0;32m/usr/lib/python3.12/copy.py:136\u001b[0m, in \u001b[0;36mdeepcopy\u001b[0;34m(x, memo, _nil)\u001b[0m\n\u001b[1;32m    134\u001b[0m copier \u001b[38;5;241m=\u001b[39m _deepcopy_dispatch\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;28mcls\u001b[39m)\n\u001b[1;32m    135\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m copier \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 136\u001b[0m     y \u001b[38;5;241m=\u001b[39m \u001b[43mcopier\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmemo\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    137\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    138\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28missubclass\u001b[39m(\u001b[38;5;28mcls\u001b[39m, \u001b[38;5;28mtype\u001b[39m):\n",
      "File \u001b[0;32m/usr/lib/python3.12/copy.py:221\u001b[0m, in \u001b[0;36m_deepcopy_dict\u001b[0;34m(x, memo, deepcopy)\u001b[0m\n\u001b[1;32m    219\u001b[0m memo[\u001b[38;5;28mid\u001b[39m(x)] \u001b[38;5;241m=\u001b[39m y\n\u001b[1;32m    220\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m key, value \u001b[38;5;129;01min\u001b[39;00m x\u001b[38;5;241m.\u001b[39mitems():\n\u001b[0;32m--> 221\u001b[0m     y[deepcopy(key, memo)] \u001b[38;5;241m=\u001b[39m \u001b[43mdeepcopy\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvalue\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmemo\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    222\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m y\n",
      "File \u001b[0;32m/usr/lib/python3.12/copy.py:162\u001b[0m, in \u001b[0;36mdeepcopy\u001b[0;34m(x, memo, _nil)\u001b[0m\n\u001b[1;32m    160\u001b[0m                 y \u001b[38;5;241m=\u001b[39m x\n\u001b[1;32m    161\u001b[0m             \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 162\u001b[0m                 y \u001b[38;5;241m=\u001b[39m \u001b[43m_reconstruct\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmemo\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mrv\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    164\u001b[0m \u001b[38;5;66;03m# If is its own copy, don't memoize.\u001b[39;00m\n\u001b[1;32m    165\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m y \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m x:\n",
      "File \u001b[0;32m/usr/lib/python3.12/copy.py:253\u001b[0m, in \u001b[0;36m_reconstruct\u001b[0;34m(x, memo, func, args, state, listiter, dictiter, deepcopy)\u001b[0m\n\u001b[1;32m    251\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m deep \u001b[38;5;129;01mand\u001b[39;00m args:\n\u001b[1;32m    252\u001b[0m     args \u001b[38;5;241m=\u001b[39m (deepcopy(arg, memo) \u001b[38;5;28;01mfor\u001b[39;00m arg \u001b[38;5;129;01min\u001b[39;00m args)\n\u001b[0;32m--> 253\u001b[0m y \u001b[38;5;241m=\u001b[39m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    254\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m deep:\n\u001b[1;32m    255\u001b[0m     memo[\u001b[38;5;28mid\u001b[39m(x)] \u001b[38;5;241m=\u001b[39m y\n",
      "File \u001b[0;32m/usr/lib/python3.12/copyreg.py:99\u001b[0m, in \u001b[0;36m__newobj__\u001b[0;34m(cls, *args)\u001b[0m\n\u001b[1;32m     98\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__newobj__\u001b[39m(\u001b[38;5;28mcls\u001b[39m, \u001b[38;5;241m*\u001b[39margs):\n\u001b[0;32m---> 99\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mcls\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;21;43m__new__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mcls\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Error in callback <function flush_figures at 0x7ce2f405f1a0> (for post_execute), with arguments args (),kwargs {}:\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/matplotlib_inline/backend_inline.py:126\u001b[0m, in \u001b[0;36mflush_figures\u001b[0;34m()\u001b[0m\n\u001b[1;32m    123\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m InlineBackend\u001b[38;5;241m.\u001b[39minstance()\u001b[38;5;241m.\u001b[39mclose_figures:\n\u001b[1;32m    124\u001b[0m     \u001b[38;5;66;03m# ignore the tracking, just draw and close all figures\u001b[39;00m\n\u001b[1;32m    125\u001b[0m     \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 126\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mshow\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[1;32m    127\u001b[0m     \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m    128\u001b[0m         \u001b[38;5;66;03m# safely show traceback if in IPython, else raise\u001b[39;00m\n\u001b[1;32m    129\u001b[0m         ip \u001b[38;5;241m=\u001b[39m get_ipython()\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/matplotlib_inline/backend_inline.py:90\u001b[0m, in \u001b[0;36mshow\u001b[0;34m(close, block)\u001b[0m\n\u001b[1;32m     88\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m     89\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m figure_manager \u001b[38;5;129;01min\u001b[39;00m Gcf\u001b[38;5;241m.\u001b[39mget_all_fig_managers():\n\u001b[0;32m---> 90\u001b[0m         \u001b[43mdisplay\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m     91\u001b[0m \u001b[43m            \u001b[49m\u001b[43mfigure_manager\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcanvas\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfigure\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     92\u001b[0m \u001b[43m            \u001b[49m\u001b[43mmetadata\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m_fetch_figure_metadata\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfigure_manager\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcanvas\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfigure\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     93\u001b[0m \u001b[43m        \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     94\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[1;32m     95\u001b[0m     show\u001b[38;5;241m.\u001b[39m_to_draw \u001b[38;5;241m=\u001b[39m []\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/IPython/core/display_functions.py:298\u001b[0m, in \u001b[0;36mdisplay\u001b[0;34m(include, exclude, metadata, transient, display_id, raw, clear, *objs, **kwargs)\u001b[0m\n\u001b[1;32m    296\u001b[0m     publish_display_data(data\u001b[38;5;241m=\u001b[39mobj, metadata\u001b[38;5;241m=\u001b[39mmetadata, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m    297\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 298\u001b[0m     format_dict, md_dict \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mformat\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minclude\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43minclude\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexclude\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mexclude\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    299\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m format_dict:\n\u001b[1;32m    300\u001b[0m         \u001b[38;5;66;03m# nothing to display (e.g. _ipython_display_ took over)\u001b[39;00m\n\u001b[1;32m    301\u001b[0m         \u001b[38;5;28;01mcontinue\u001b[39;00m\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/IPython/core/formatters.py:182\u001b[0m, in \u001b[0;36mDisplayFormatter.format\u001b[0;34m(self, obj, include, exclude)\u001b[0m\n\u001b[1;32m    180\u001b[0m md \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m    181\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 182\u001b[0m     data \u001b[38;5;241m=\u001b[39m \u001b[43mformatter\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    183\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m:\n\u001b[1;32m    184\u001b[0m     \u001b[38;5;66;03m# FIXME: log the exception\u001b[39;00m\n\u001b[1;32m    185\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/decorator.py:232\u001b[0m, in \u001b[0;36mdecorate.<locals>.fun\u001b[0;34m(*args, **kw)\u001b[0m\n\u001b[1;32m    230\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m kwsyntax:\n\u001b[1;32m    231\u001b[0m     args, kw \u001b[38;5;241m=\u001b[39m fix(args, kw, sig)\n\u001b[0;32m--> 232\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mcaller\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfunc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mextras\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkw\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/IPython/core/formatters.py:226\u001b[0m, in \u001b[0;36mcatch_format_error\u001b[0;34m(method, self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    224\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"show traceback on failed format call\"\"\"\u001b[39;00m\n\u001b[1;32m    225\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 226\u001b[0m     r \u001b[38;5;241m=\u001b[39m \u001b[43mmethod\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    227\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mNotImplementedError\u001b[39;00m:\n\u001b[1;32m    228\u001b[0m     \u001b[38;5;66;03m# don't warn on NotImplementedErrors\u001b[39;00m\n\u001b[1;32m    229\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_check_return(\u001b[38;5;28;01mNone\u001b[39;00m, args[\u001b[38;5;241m0\u001b[39m])\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/IPython/core/formatters.py:343\u001b[0m, in \u001b[0;36mBaseFormatter.__call__\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    341\u001b[0m     \u001b[38;5;28;01mpass\u001b[39;00m\n\u001b[1;32m    342\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 343\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mprinter\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    344\u001b[0m \u001b[38;5;66;03m# Finally look for special method names\u001b[39;00m\n\u001b[1;32m    345\u001b[0m method \u001b[38;5;241m=\u001b[39m get_real_method(obj, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprint_method)\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/IPython/core/pylabtools.py:170\u001b[0m, in \u001b[0;36mprint_figure\u001b[0;34m(fig, fmt, bbox_inches, base64, **kwargs)\u001b[0m\n\u001b[1;32m    167\u001b[0m     \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mbackend_bases\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m FigureCanvasBase\n\u001b[1;32m    168\u001b[0m     FigureCanvasBase(fig)\n\u001b[0;32m--> 170\u001b[0m \u001b[43mfig\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcanvas\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mprint_figure\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbytes_io\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkw\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    171\u001b[0m data \u001b[38;5;241m=\u001b[39m bytes_io\u001b[38;5;241m.\u001b[39mgetvalue()\n\u001b[1;32m    172\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m fmt \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124msvg\u001b[39m\u001b[38;5;124m'\u001b[39m:\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/matplotlib/backend_bases.py:2189\u001b[0m, in \u001b[0;36mFigureCanvasBase.print_figure\u001b[0;34m(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, pad_inches, bbox_extra_artists, backend, **kwargs)\u001b[0m\n\u001b[1;32m   2186\u001b[0m     \u001b[38;5;66;03m# we do this instead of `self.figure.draw_without_rendering`\u001b[39;00m\n\u001b[1;32m   2187\u001b[0m     \u001b[38;5;66;03m# so that we can inject the orientation\u001b[39;00m\n\u001b[1;32m   2188\u001b[0m     \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mgetattr\u001b[39m(renderer, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m_draw_disabled\u001b[39m\u001b[38;5;124m\"\u001b[39m, nullcontext)():\n\u001b[0;32m-> 2189\u001b[0m         \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfigure\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdraw\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   2190\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m bbox_inches:\n\u001b[1;32m   2191\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m bbox_inches \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtight\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/matplotlib/artist.py:95\u001b[0m, in \u001b[0;36m_finalize_rasterization.<locals>.draw_wrapper\u001b[0;34m(artist, renderer, *args, **kwargs)\u001b[0m\n\u001b[1;32m     93\u001b[0m \u001b[38;5;129m@wraps\u001b[39m(draw)\n\u001b[1;32m     94\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mdraw_wrapper\u001b[39m(artist, renderer, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m---> 95\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[43mdraw\u001b[49m\u001b[43m(\u001b[49m\u001b[43martist\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     96\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m renderer\u001b[38;5;241m.\u001b[39m_rasterizing:\n\u001b[1;32m     97\u001b[0m         renderer\u001b[38;5;241m.\u001b[39mstop_rasterizing()\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/matplotlib/artist.py:72\u001b[0m, in \u001b[0;36mallow_rasterization.<locals>.draw_wrapper\u001b[0;34m(artist, renderer)\u001b[0m\n\u001b[1;32m     69\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m artist\u001b[38;5;241m.\u001b[39mget_agg_filter() \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m     70\u001b[0m         renderer\u001b[38;5;241m.\u001b[39mstart_filter()\n\u001b[0;32m---> 72\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mdraw\u001b[49m\u001b[43m(\u001b[49m\u001b[43martist\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     73\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[1;32m     74\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m artist\u001b[38;5;241m.\u001b[39mget_agg_filter() \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/matplotlib/figure.py:3155\u001b[0m, in \u001b[0;36mFigure.draw\u001b[0;34m(self, renderer)\u001b[0m\n\u001b[1;32m   3152\u001b[0m             \u001b[38;5;66;03m# ValueError can occur when resizing a window.\u001b[39;00m\n\u001b[1;32m   3154\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpatch\u001b[38;5;241m.\u001b[39mdraw(renderer)\n\u001b[0;32m-> 3155\u001b[0m     \u001b[43mmimage\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_draw_list_compositing_images\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   3156\u001b[0m \u001b[43m        \u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43martists\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msuppressComposite\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   3158\u001b[0m     renderer\u001b[38;5;241m.\u001b[39mclose_group(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mfigure\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m   3159\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/matplotlib/image.py:132\u001b[0m, in \u001b[0;36m_draw_list_compositing_images\u001b[0;34m(renderer, parent, artists, suppress_composite)\u001b[0m\n\u001b[1;32m    130\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m not_composite \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m has_images:\n\u001b[1;32m    131\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m a \u001b[38;5;129;01min\u001b[39;00m artists:\n\u001b[0;32m--> 132\u001b[0m         \u001b[43ma\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdraw\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    133\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    134\u001b[0m     \u001b[38;5;66;03m# Composite any adjacent images together\u001b[39;00m\n\u001b[1;32m    135\u001b[0m     image_group \u001b[38;5;241m=\u001b[39m []\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/matplotlib/artist.py:72\u001b[0m, in \u001b[0;36mallow_rasterization.<locals>.draw_wrapper\u001b[0;34m(artist, renderer)\u001b[0m\n\u001b[1;32m     69\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m artist\u001b[38;5;241m.\u001b[39mget_agg_filter() \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m     70\u001b[0m         renderer\u001b[38;5;241m.\u001b[39mstart_filter()\n\u001b[0;32m---> 72\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mdraw\u001b[49m\u001b[43m(\u001b[49m\u001b[43martist\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     73\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[1;32m     74\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m artist\u001b[38;5;241m.\u001b[39mget_agg_filter() \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/matplotlib/axes/_base.py:3073\u001b[0m, in \u001b[0;36m_AxesBase.draw\u001b[0;34m(self, renderer)\u001b[0m\n\u001b[1;32m   3070\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m spine \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mspines\u001b[38;5;241m.\u001b[39mvalues():\n\u001b[1;32m   3071\u001b[0m         artists\u001b[38;5;241m.\u001b[39mremove(spine)\n\u001b[0;32m-> 3073\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_update_title_position\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   3075\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39maxison:\n\u001b[1;32m   3076\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m _axis \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_axis_map\u001b[38;5;241m.\u001b[39mvalues():\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/matplotlib/axes/_base.py:3008\u001b[0m, in \u001b[0;36m_AxesBase._update_title_position\u001b[0;34m(self, renderer)\u001b[0m\n\u001b[1;32m   3005\u001b[0m bb \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m   3006\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m (ax\u001b[38;5;241m.\u001b[39mxaxis\u001b[38;5;241m.\u001b[39mget_ticks_position() \u001b[38;5;129;01min\u001b[39;00m [\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtop\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124munknown\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[1;32m   3007\u001b[0m         \u001b[38;5;129;01mor\u001b[39;00m ax\u001b[38;5;241m.\u001b[39mxaxis\u001b[38;5;241m.\u001b[39mget_label_position() \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtop\u001b[39m\u001b[38;5;124m'\u001b[39m):\n\u001b[0;32m-> 3008\u001b[0m     bb \u001b[38;5;241m=\u001b[39m \u001b[43max\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mxaxis\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_tightbbox\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   3009\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m bb \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m   3010\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124moutline\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;129;01min\u001b[39;00m ax\u001b[38;5;241m.\u001b[39mspines:\n\u001b[1;32m   3011\u001b[0m         \u001b[38;5;66;03m# Special case for colorbars:\u001b[39;00m\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/matplotlib/axis.py:1369\u001b[0m, in \u001b[0;36mAxis.get_tightbbox\u001b[0;34m(self, renderer, for_layout_only)\u001b[0m\n\u001b[1;32m   1367\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m renderer \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m   1368\u001b[0m     renderer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfigure\u001b[38;5;241m.\u001b[39m_get_renderer()\n\u001b[0;32m-> 1369\u001b[0m ticks_to_draw \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_update_ticks\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1371\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_update_label_position(renderer)\n\u001b[1;32m   1373\u001b[0m \u001b[38;5;66;03m# go back to just this axis's tick labels\u001b[39;00m\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/matplotlib/axis.py:1303\u001b[0m, in \u001b[0;36mAxis._update_ticks\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1301\u001b[0m major_ticks \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mget_major_ticks(\u001b[38;5;28mlen\u001b[39m(major_locs))\n\u001b[1;32m   1302\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m tick, loc, label \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(major_ticks, major_locs, major_labels):\n\u001b[0;32m-> 1303\u001b[0m     \u001b[43mtick\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mupdate_position\u001b[49m\u001b[43m(\u001b[49m\u001b[43mloc\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1304\u001b[0m     tick\u001b[38;5;241m.\u001b[39mlabel1\u001b[38;5;241m.\u001b[39mset_text(label)\n\u001b[1;32m   1305\u001b[0m     tick\u001b[38;5;241m.\u001b[39mlabel2\u001b[38;5;241m.\u001b[39mset_text(label)\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/matplotlib/axis.py:438\u001b[0m, in \u001b[0;36mXTick.update_position\u001b[0;34m(self, loc)\u001b[0m\n\u001b[1;32m    436\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mgridline\u001b[38;5;241m.\u001b[39mset_xdata((loc,))\n\u001b[1;32m    437\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlabel1\u001b[38;5;241m.\u001b[39mset_x(loc)\n\u001b[0;32m--> 438\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlabel2\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mset_x\u001b[49m\u001b[43m(\u001b[49m\u001b[43mloc\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    439\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_loc \u001b[38;5;241m=\u001b[39m loc\n\u001b[1;32m    440\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstale \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n",
      "File \u001b[0;32m~/.cache/pypoetry/virtualenvs/pf2barcode-Hbu_9TGN-py3.12/lib/python3.12/site-packages/matplotlib/text.py:1192\u001b[0m, in \u001b[0;36mText.set_x\u001b[0;34m(self, x)\u001b[0m\n\u001b[1;32m   1189\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mset_x(xy[\u001b[38;5;241m0\u001b[39m])\n\u001b[1;32m   1190\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mset_y(xy[\u001b[38;5;241m1\u001b[39m])\n\u001b[0;32m-> 1192\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mset_x\u001b[39m(\u001b[38;5;28mself\u001b[39m, x):\n\u001b[1;32m   1193\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m   1194\u001b[0m \u001b[38;5;124;03m    Set the *x* position of the text.\u001b[39;00m\n\u001b[1;32m   1195\u001b[0m \n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   1198\u001b[0m \u001b[38;5;124;03m    x : float\u001b[39;00m\n\u001b[1;32m   1199\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[1;32m   1200\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_x \u001b[38;5;241m=\u001b[39m x\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "\n",
    "from IPython.display import set_matplotlib_formats\n",
    "set_matplotlib_formats('pdf', 'svg')\n",
    "\n",
    "df = pd.DataFrame(pcann.X, columns=pcann.var_names, index=pcann.obs_names)\n",
    "df[\"SW\"] = pcann.obs[\"SW\"]\n",
    "df = df[df[\"SW\"] != \"unknown\"]\n",
    "\n",
    "sns.pairplot(df, hue=\"SW\", height=1.25, plot_kws={\"s\": 5}, corner=True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "pf2barcode-Hbu_9TGN-py3.12",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}