diff --git a/module3/exo3/exercice.ipynb b/module3/exo3/exercice.ipynb
index 1064564ff66ab6e3e16540024e0ea44da9d567f3..f7b109b8aab1ea0f3df0338a26b19556d03ed8e6 100644
--- a/module3/exo3/exercice.ipynb
+++ b/module3/exo3/exercice.ipynb
@@ -479,7 +479,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 176,
+   "execution_count": 216,
    "metadata": {
     "scrolled": true
    },
@@ -488,7 +488,12 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[0, 150, 725, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]\n"
+      "5\n",
+      "[[596, 473, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 150, 725, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 396, 249, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 147, 211, 1044, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [621, 36, 0, 238, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]\n",
+      "[[0, 0, 350, 0, 853, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 126, 159, 13, 186, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 21, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 281, 0, 116, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 520, 0, 0, 1234, 0, 0, 0, 0, 0, 0, 0, 0]]\n",
+      "[[247, 3, 74, 575, 0, 0, 0, 726, 22, 20, 0, 0, 0, 0, 0], [85, 0, 0, 0, 0, 0, 0, 173, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 18, 11, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 189, 0, 0, 0, 177, 0, 0, 0, 0], [0, 0, 0, 100, 0, 0, 22, 0, 0, 0, 0, 0, 0, 0, 0], [0, 16, 0, 68, 0, 0, 7, 0, 0, 0, 32, 0, 0, 0, 0], [5, 0, 551, 172, 0, 0, 40, 0, 0, 0, 221, 0, 0, 0, 0], [0, 0, 0, 20, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0], [6, 0, 38, 76, 0, 0, 0, 0, 27, 0, 0, 0, 0, 0, 0]]\n",
+      "[[0, 55, 231, 0, 0, 0, 405, 0, 0, 0, 223, 0, 0, 0, 0], [0, 3, 12, 50, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 397, 369, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 162, 130, 0, 0, 0, 131, 0, 0, 0, 0, 0, 0, 0], [0, 0, 159, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 15, 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 11, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]\n",
+      "[[0, 0, 0, 87, 0, 0, 0, 0, 0, 0, 0, 104, 0, 0, 0], [0, 0, 0, 172, 0, 0, 0, 323, 0, 0, 0, 154, 0, 0, 0], [611, 0, 0, 434, 0, 0, 0, 11, 0, 0, 0, 0, 0, 0, 0], [20, 140, 0, 124, 0, 0, 4, 7, 0, 0, 0, 0, 0, 0, 0], [368, 0, 0, 245, 0, 0, 0, 7, 0, 0, 190, 0, 383, 0, 0], [0, 0, 126, 87, 0, 0, 0, 25, 0, 0, 35, 23, 105, 0, 0]]\n"
      ]
     }
    ],
@@ -497,18 +502,21 @@
     "nbscene=0\n",
     "nbacte=0\n",
     "nbmots=0\n",
-    "listemotspersonnages=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]\n",
+    "nbscenetotal=0\n",
+    "listeacte=[]\n",
     "listescene=[]\n",
-    "listacte=[]\n",
-    "\n",
+    "listemotspersonnages=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]\n",
     "with open(texte_file,'r') as file:  \n",
     "    for ligne in file:\n",
     "                nbligne+=1\n",
     "                if ligne[0]==\"#\" and ligne[1]==\"#\" and ligne[2]!=\"#\":\n",
     "                    nbacte+=1\n",
     "                    listeacte.append(0)\n",
+    "                    listescene=[]\n",
+    "                    nbscene=0\n",
     "                if scene in ligne:\n",
     "                    nbscene+=1\n",
+    "                    nbscenetotal+=1\n",
     "                    listescene.append(0)\n",
     "                    listemotspersonnages=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]\n",
     "                if \"VALÈRE\" in ligne:\n",
@@ -646,7 +654,9 @@
     "                        listescene[nbscene-1]=listemotspersonnages\n",
     "                        listeacte[nbacte-1]=listescene\n",
     "                        nbmots=0\n",
-    "    print(listeacte[0][1])"
+    "print(len(listeacte))\n",
+    "for i in range(len(listeacte)):\n",
+    "    print(listeacte[i])"
    ]
   },
   {
@@ -656,42 +666,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 145,
+   "execution_count": 224,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "<matplotlib.legend.Legend at 0x7f76f3ffa6a0>"
-      ]
-     },
-     "execution_count": 145,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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60/LKPTUvi4TDvkHjlg91Av8Lkj5B79r9O4BvAp/MW1YZxq0zrSy+E1a7jWM+1Hnj1Z9L+jXgUeBE4NKIuCF7ZWNuHDvTyuGwb7dxzYc60zKpAr7zIf+0ce1MK4PDvt3GOR/mDHxJj3HgDVfP+BEQEfGcbFWNsdydOcqFlGz0HPbtNs5hD30CPyI8E2cWucN+lAsp2Wg57Ntt3MMeBlhLR9KRkn7p6Y+cRY2z3GGfbbaGNcph324lhD3Ue+PVBZJ+AGwHbgLuAb6aua6xlTvsx3mw2MI47NutpN/fOkf4lwNnAP8vIo4Dzga+nbWqDilpsNjgRtK/OcM+Zdhmi5T2+1sn8J+IiD3AQZIOiohvAadmrqsTShssNpiR9W/OsPclxjmV+PtbZ1rmI5KeDfwd8DlJu+itmmmLUOJgsfpG2r9rMmwzceDMwXe1/jml/v7WOcLfBKwALga+Bvwz8Bs5i2q7UgeL1VN8/yb8N4E+Su7fOoEv4Ov0hsGzgWurSzy2ACUPFptf8f2bcNj3UXr/1lkP/wMRcRLwTuBo4CZJ38xeWQuVPlisv+L7N+Gw76P4/mWwe9ruAh4E9gBH5imnvdowWGxuxfdvwmHfR/H9W6kzD/8/SkrA/wUOB94REafkLqxN2jJYbHbF92/CYT+PtiynUmeWzrHAuyNia+5i2qj4MLC+iu/fhMO+hrYsp1LnGv4fOewXpvgwsL6K79+Ew76mtiynMsg1fBtA8WFgfRXfvwmHfYOaGj8O/AyKDwPrq/j+TTjsG9Tk+MkW+JKOkfQtSdsk3SXp4lz7GifFh4H1VXz/Jhz2DWp6/NS649UCPQn8YUTcLmk5sEXSDRHxTxn32aimO9PyKr5/Ew77Bo3D+Ml2hB8RD0TE7dXnjwHbgBfk2l/TxqEzLa+ip+YlHPYNGpd8GMk1fEmrgJcAt8zys3WSNkvavHv37lGUM3SNd+aqlSBl/5g6eEn+fUyubKAB6yl2al6inWE/onG/WI3nwzQ5L+kAUK20+UV6c/kfnfnziNgAbABYvXr1bPfQHWtj0Zn37pz97sN1JGqHwYSeQusH2/yg7RPrdw62gxHKPTUvbRz+9lsb9rC4cf+0xPzts4jMH4t8mCbrEb6kZfTC/nMR8aWc+2rCuHXmwBJZw6D49snMd8JqWKJz4z/nLB0BVwLbIuIjufbTlHHszIEkOjfYx4nDvmGJTo7/nEf4ZwIXAWdJ2lp9vCHj/kZmXDuztkQnB/u4cNg3LNHZ8Z/tGn5E3Myirn6Np9ydWfpsjXEe7OPAYd+wRKfHv99pO6DcYV/ybI1xH+xNc9g3LNH58e/AH1DusM+2kFKi84O9SQ77hiU8/nHgDyx32JcYBqUM9qaU3r/FS3j8Vxz4DSs9DEoa7E0YSfvkDPuUYZujlPD4n8aB3yCHfbuNrH1yhv0I12ofuoTH/wwO/IY47NttpO2zJsM2EwfGT4kSHv+zcOA3wGHfbsW3T6LsvwkkPP7n4MAfMYd9uxXfPgmHfR+l968Df4RKD3so/E1nmZUeBg77/orvXxz4I1N82KfeP8W+6Syz4sMg4bDvo/j+rTjwR6AVU/Oq2RpFvukss+LDIOGwn0dbzmwd+Jm1ZmpepqPv0sOy9Pod9jW2T3vObB34GbVqal6G7ZcelqXXX3zYg89sB+TAz8Rh0F/p7VN6/a0Ie/CZ7YAc+Bk4DPorvX1Kr781YQ8+sx2QA3/IHAb9ld4+pdffqrDPIdHq8e/AH6KmO3PREq0e7ItVev0O+3kkWj/+HfhDMg6duSiJ1g/2xSp6al7CYd9PohPj34E/BOPSmQuW6MRgX6xip+YlHPb9JDoz/h34izROnbkgic4M9sUqcmpewmHfT6JT49+Bvwjj1pkDS3RqsI+b4pfbKF2ic+Pfgb9A49iZA0l0brCPE4d9wxKdHP8O/AUY186sLdHJwT4uHPYNS3R2/DvwB5S7M0ufrTHOg30cOOwbluj0+HfgDyh32Jc8W2PcB3vTHPYNS3R+/DvwB5Q77EudrVHCYG+Sw75hCY9/HPgDyx32JYZBKYO9KaX3b/ESHv8VB37DSg+DkgZ7E1px85uSJTz+p3HgN8hh326tuflNqRIe/zM48BvisG+3Vt38pkQJj/9ZOPAb4LBvt+LbJ1H23wQSHv9zcOCPmMO+3Ypvn4TDvo/S+zdb4Ev6lKRdku7MtY/SlB72UPibzjIrPQwc9v0V37/kPcK/Cjg34/aLUnzYp94/xb7pLLPiwyDhsO+j+P6tZAv8iNgEPJxr+yVpxdS8arZGkW86y6z4MEg47OfRljPbxq/hS1onabOkzbt37174hlatBCnvxwK0ZmpepqPvobRPg33fhbCfWkL+9pWYmlyZpf5FSb1/2nJmu3R0u5pdRGwANgCsXr06Fryhe3fCoM9ODDZYBsz8Vk3Ny7D9obXPXH2fGF79s/R9F8IeYGI/aP3gmx+0fWL9zsF30pIz27Rx+NufTeNH+I1JlBFmTUmU3T6JsuvPLdGO9unyme0CdDPwE+0Y7Lkkym6fRNn155ZoT/usybDNRHvaZ4ac0zL/BvgH4ERJOyS9Pde+BpJobWcORaLs9kmUXX9uCbdPP4lWt0+2a/gR8eZc216wRKs7c9ESZbdPouz6c0u4ffpJtL59unNJJ9H6zlyURNntk/DUvH4SZfdvbolOtE83Aj/Ric5csET57eOpeXNLlN+/OSU60z7tD/xEZzpzQRLtaJ8WTM3LItGO/s0l0an2aXfgJzrVmQNLtKd91mTYZqLsqXmJ9vRvDonOtU97Az/Ruc4cSMLt00+i7PZJlF1/bolOtk87Az/Ryc6sLeH26SdRdvskyq4/t0Rn26d9gZ8oujM9W6NhibLbJ1F2/bklOt0+7Qr8RPFT8zxbo0GJstsnUXb9uSU63z7tCvwWTM3zbI2GJMpun0TR9fvMdjTaFfgtmJrnMGhAouz2SfjMtp9E2f07RO0K/DUZtpnw1Lw+Shrss0qU3z4+s51bovz+HaJ2Bf6wJcoeLImy688t0Y728Znt7BLt6N8hcuDPJVH2YEmUXX9uifa0z5oM20z4zLaPUse/A382ibIHS6Ls+nNLuH36SZTdPomy68/IgT9TouzBkii7/twSbp9+EmW3T6Ls+jNz4E+XKHuwJIqfrZFVouz+zS1Rdvskyq5/BBz4T0uUPVgSrZitkU2i7P7NLVF2+yTKrn9EHPjQjsGSO+xHNFsji0T5/ZtTouz2SfjMtiYHfqLswf603GHv2Rqzctj3V3r/Fn9mO0O3Az9R9mCfbk2GbSbKbp9E2fXnlii/fXxmO5DuBn6i/MGeU6Ls9kmUXX9uiXa0j89sB9LNwE+0Y7Dnkii7fRJl159boj3tsybDNhPtaZ8Zuhf4idZ25lAkym6fRNn155Zw+/STaHX7dCvwE63uzEVLlN0+ibLrzy3h9ukn0fr26U7gJ1rfmYuSKLt9Ep6a10+i7P7NLdGJ9ulG4Cc60ZkLlii/fTw1b26J8vs3p0Rn2qf9gZ/oTGcuSKId7eOpebNLtKN/c0l0qn3aHfiJTnXmwBLtaZ81GbaZKHtqXqI9/ZtDonPt097AT3SuMweScPv0kyi7fRJl159bopPt087AT3SyM2tLuH36SZTdPomy688t0dn2aV/gJ4ruTM/WaFii7PZJlF1/bolOt0+7Aj9R/NQ8z9ZoUKLs9kmUXX9uic63T7sCvwVT8zxboyGJstsnUXT9PrMdjayBL+lcSd+X9ENJf5RzX0ArpuY5DBqQKLt9Ej6z7SdRdv8OUbbAl7QE+Evg14EXAW+W9KJc+wM8NW82CQ/2fhLlt4/PbOeWKL9/hyjnEf7LgB9GxI8iYh9wDfCbGfc3fImyB0ui7PpzS7SjfXxmO7tEO/p3iBQReTYs/TZwbkT8fvX1RcDLI+JdMx63DlhXfXki8P0sBQ3H4cBDTRfRoC6/fr/27hr3139sRBxR54FLMxahWb73c/+7RMQGYEPGOoZG0uaIWN10HU3p8uv3a+/ma4d2vf6cl3R2AMdM+3oSuD/j/szMrI+cgX8bcIKk4yT9AvAm4PqM+zMzsz6yXdKJiCclvQv4OrAE+FRE3JVrfyNSxKWnjLr8+v3au6s1rz/bH23NzGy8tOudtmZmNicHvplZRzjwa5D0KUm7JN3ZdC2jJukYSd+StE3SXZIubrqmUZI0IelWSXdUr/8DTdc0apKWSPpHSV9pupZRknSPpO9J2ippc9P1DIOv4dcg6dXAXuDqiDi56XpGSdLzgedHxO2SlgNbgH8XEf/UcGkjIUnAoRGxV9Iy4Gbg4oj4TsOljYyk/wKsBp4TEec3Xc+oSLoHWB0R4/ymq4H4CL+GiNgEPNx0HU2IiAci4vbq88eAbcALmq1qdKJnb/XlsuqjM0dJkiaB84C/broWWzwHvtUmaRXwEuCWZisZreqSxlZgF3BDRHTp9f8F8F7gqaYLaUAA35C0pVoCpngOfKtF0rOBLwLvjohHm65nlCJif0ScSu/d4i+T1InLepLOB3ZFxJama2nImRHxUnor/r6zurRbNAe+zau6dv1F4HMR8aWm62lKRDxCbw3GcxsuZVTOBC6ormVfA5wl6bPNljQ6EXF/9e8u4Mv0VgAumgPf+qr+aHklsC0iPtJ0PaMm6QhJK6rPnwW8Dri72apGIyLeFxGTEbGK3tIoN0bEWxsuayQkHVpNUkDSocDrgeJn6Tnwa5D0N8A/ACdK2iHp7U3XNEJnAhfRO7rbWn28oemiRuj5wLckfZfe+lA3RESnpid21FHAzZLuAG4F/ndEfK3hmhbN0zLNzDrCR/hmZh3hwDcz6wgHvplZRzjwzcw6woFvZtYRDnyzGiSt6uJqqdYuDnyzIZK0pOkazObiwLfWqY7Gt0n6ZLWG/TckPUvSqZK+I+m7kr4s6bnV45Ok/yFpU/W80yV9SdIPJH1o2qaXStpYPf9/STqkev49ki6VdDOwVtLxkr5WLbr1d5J+tXrcWkl3Vmvrbxp9y1jXOfCtrU4A/jIiTgIeAX4LuBq4JCJOAb4HXDbt8fsi4tXAXwF/C7wTOBn4PUmHVY85EdhQPf9R4D9Ne/5URLwqIq6hd9Pr/xwRpwH/FfhY9ZhLgXMi4sXABUN/xWbzcOBbW22PiK3V51uA44EVEXFT9b2NwPTVD6+v/v0ecFd1H4CfAj8Cjql+9uOI+Hb1+WeBV017/rXws1VFXwlcVy2p/Al6yzMAfBu4StI7AF/6sZFb2nQBZpn8dNrn+4EVNR//1IznPsWB35OZ65BM//rx6t+DgEeq5ZSf+eCIP5D0cno3FNkq6dSI2DNPXWZD4yN864p/Bf5F0r+tvr4IuKnP42fzS5JeUX3+Znq3O3yG6l4B2yWthd5qo5JeXH1+fETcEhGXAg9x4MzBbCQc+NYlvwv8WbXy5anABwd8/jbgd6vnPw/4+ByPuxB4e7XS4l3Ab1bf/7Pqpth3ApuAOwZ9AWaL4dUyzcw6wkf4ZmYd4cA3M+sIB76ZWUc48M3MOsKBb2bWEQ58M7OOcOCbmXXE/wfN0cKS1EXy8wAAAABJRU5ErkJggg==\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
+     "ename": "SyntaxError",
+     "evalue": "invalid syntax (<ipython-input-224-7da3e5ddfcac>, line 5)",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-224-7da3e5ddfcac>\"\u001b[0;36m, line \u001b[0;32m5\u001b[0m\n\u001b[0;31m    plt.hist(x2, bins = bins, color = 'green',edgecolor = 'blue', hatch = '\\', label = 'x2')\u001b[0m\n\u001b[0m                                                                                         ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
+     ]
     }
    ],
    "source": [
-    "nbmots = [1, 2, 2, 3, 4, 4, 4, 4, 4, 5, 5]\n",
+    "x1 = [1, 2, 2, 3, 4, 4, 4, 4, 4, 5, 5]\n",
     "x2 = [1, 1, 1, 2, 2, 3, 3, 3, 3, 4, 5, 5, 5]\n",
-    "bins = [x + 0.5 for x in range(0, 6)]\n",
-    "plt.hist([x1, x2], bins = bins, color = ['yellow', 'green'],\n",
-    "            edgecolor = 'red', hatch = '/', label = ['x1', 'x2'],\n",
-    "            histtype = 'bar') # bar est le defaut\n",
+    "bins = nbscenetotal\n",
+    "plt.hist(x1, bins = bins, color = 'yellow',edgecolor = 'red', hatch = '/', label = 'x1')\n",
+    "plt.hist(x2, bins = bins, color = 'green', alpha = 0.5 ,edgecolor = 'blue', hatch = '\\', label = 'x2')\n",
     "plt.ylabel('valeurs')\n",
     "plt.xlabel('nombres')\n",
-    "plt.title('2 series')\n",
+    "plt.title('superpose')\n",
     "plt.legend()"
    ]
   },
@@ -708,20 +703,7 @@
      ]
     }
    ],
-   "source": [
-    "listeacte=[0,0]\n",
-    "listescene=[0,0]\n",
-    "listepersonnagescene=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]\n",
-    "valeremots=18\n",
-    "elisemots=5\n",
-    "\n",
-    "\n",
-    "listepersonnagescene[0]=valeremots\n",
-    "listepersonnagescene[1]=elisemots\n",
-    "listescene[0]=listepersonnagescene\n",
-    "listeacte[0]=listescene\n",
-    "print(listeacte[0])"
-   ]
+   "source": []
   },
   {
    "cell_type": "code",