Set a color for each piece personnage

module3/exo3/exercice_fr.ipynb

@@ -1325,7 +1325,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -1441,7 +1441,7 @@
        "5753                 Harpagon"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1486,10 +1486,96 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 19,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from matplotlib import cm\n",
+    "\n",
+    "# On affiche une sélection automatique de couleur dans une colormap\n",
+    "# matplotlib\n",
+    "nbPersos = len(persoList)\n",
+    "color = iter(cm.rainbow(np.linspace(0, 1, nbPersos)))\n",
+    "for i in range(nbPersos):\n",
+    "   c = next(color)\n",
+    "   plt.plot(i, i, 'o', c=c)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Cette sélection nous convient, on va affecter ces couleurs aux personnages."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'Harpagon': {'links': [\"Père de Cléante et d'Élise\", 'Amoureux de Mariane'],\n",
+       "  'color': array([1.0000000e+00, 1.2246468e-16, 6.1232340e-17, 1.0000000e+00])},\n",
+       " 'Cléante': {'links': [\"Fils d'Harpagon\", 'Amant de Mariane'],\n",
+       "  'color': array([1.        , 0.21994636, 0.11065268, 1.        ])},\n",
+       " 'Élise': {'links': [\"Fille d'Harpagon\", 'Amante de Valère'],\n",
+       "  'color': array([0.64509804, 0.9741386 , 0.62211282, 1.        ])},\n",
+       " 'Valère': {'links': [\"Fils d'Anselme\", \"Amant d'Élise\"],\n",
+       "  'color': array([1.        , 0.42912061, 0.21994636, 1.        ])},\n",
+       " 'Mariane': {'links': ['Amante de Cléante', \"aimée d'Harpagon\"],\n",
+       "  'color': array([0.50392157, 0.99998103, 0.70492555, 1.        ])},\n",
+       " 'Anselme': {'links': ['Père de Valère et de Mariane'],\n",
+       "  'color': array([0.35490196, 0.9741386 , 0.78292761, 1.        ])},\n",
+       " 'Frosine': {'links': [\"Femme d'Intrigue\"],\n",
+       "  'color': array([1.        , 0.61727822, 0.32653871, 1.        ])},\n",
+       " 'Maitre Simon': {'links': ['Courtier'],\n",
+       "  'color': array([0.07254902, 0.78292761, 0.9005867 , 1.        ])},\n",
+       " 'Maitre Jacques': {'links': [\"Cuisinier et Cocher d'Harpagon\"],\n",
+       "  'color': array([0.92745098, 0.78292761, 0.43467642, 1.        ])},\n",
+       " 'La Flèche': {'links': ['Valet de Cléante'],\n",
+       "  'color': array([0.78627451, 0.9005867 , 0.53165947, 1.        ])},\n",
+       " 'Dame Claude': {'links': [\"Servante d'Harpagon\"],\n",
+       "  'color': array([0.5, 0. , 1. , 1. ])},\n",
+       " 'Brindavoine': {'links': [\"laquais d'Harpagon\"],\n",
+       "  'color': array([0.21764706, 0.42912061, 0.97551197, 1.        ])},\n",
+       " 'La Merluche': {'links': [\"laquais d'Harpagon\"],\n",
+       "  'color': array([0.07647059, 0.61727822, 0.94518383, 1.        ])},\n",
+       " 'Le commissaire': {'links': [],\n",
+       "  'color': array([0.21372549, 0.9005867 , 0.84695821, 1.        ])},\n",
+       " 'son clerc': {'links': ['assistant du commissaire'],\n",
+       "  'color': array([0.35882353, 0.21994636, 0.99385914, 1.        ])}}"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "color = iter(cm.rainbow(np.linspace(0, 1, nbPersos)))\n",
+    "for i in range(nbPersos):\n",
+    "  c = next(color)\n",
+    "  perso = sortedData[\"perso\"].iloc[i]\n",
+    "  #print(perso)\n",
+    "  avarePersoDict[perso][\"color\"] = c\n",
+    "\n",
+    "avarePersoDict"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -1507,15 +1593,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "5\n"
+     "ename": "TypeError",
+     "evalue": "Argument 'obj' has incorrect type (expected list, got DataFrame)",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-15-49d3f95199b9>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     25\u001b[0m     \u001b[0mactDict\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"scene\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msceneNum\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     26\u001b[0m     \u001b[0msceneDf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mactDf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mactDf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"scene\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m==\u001b[0m\u001b[0msceneNum\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 27\u001b[0;31m     \u001b[0mscenePersos\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munique\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msceneDf\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     28\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mperso\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mactPersos\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     29\u001b[0m       \u001b[0mtmpDf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msceneDf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0msceneDf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"author\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m==\u001b[0m\u001b[0mperso\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/core/algorithms.py\u001b[0m in \u001b[0;36munique\u001b[0;34m(values)\u001b[0m\n\u001b[1;32m    349\u001b[0m     \"\"\"\n\u001b[1;32m    350\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 351\u001b[0;31m     \u001b[0mvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_ensure_arraylike\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    352\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    353\u001b[0m     \u001b[0;31m# categorical is a fast-path\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/core/algorithms.py\u001b[0m in \u001b[0;36m_ensure_arraylike\u001b[0;34m(values)\u001b[0m\n\u001b[1;32m    172\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    173\u001b[0m                 \u001b[0mvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 174\u001b[0;31m             \u001b[0mvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlist_to_object_array\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    175\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    176\u001b[0m             \u001b[0mvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0masarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mTypeError\u001b[0m: Argument 'obj' has incorrect type (expected list, got DataFrame)"
      ]
+    },
+    {
+     "data": {
+      "image/png": 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6PpP8AvAscKKq/mePattrLb1YBl7YCvFDwP1JLlXVX+9NiXum9c/Ixar6HvC9JGeBzwPzFuQtvXgEeLKGieKNJP8NLAL/tjclXjdG5ebYqZWWbftngIe2/hX2XuC9qnpn5Oddz6b2Islnga8BvzOHT1vbTe1FVd1ZVZ+rqs8Bfwn87hyGOLT9Gfkb4FeSHEzyowxvFf32Hte5F1p68R2G/zMhyU8zvAnwjT2t8vowKjdHPZHXJ2zbT/LY1q9/hWFFwv3ABvABw9+4c6exF38I/CTwF1tPopdqDt/41tiLG0JLL6rq20n+Hvgm8APg2aqau9c/N/6++GPgq0m+xTC98OWqmrvX2yZ5HvgicCjJJvBHwA/DteWmW/QlqXPu7JSkzhnkktQ5g1ySOmeQS1LnDHJJ6pxBLkmdM8glqXP/D4dbPsnmLi8hAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 432x288 with 5 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
     }
    ],
    "source": [