diff --git a/module3/exo3/exercice.ipynb b/module3/exo3/exercice.ipynb
index b566c6937500d1434b8138cfcdf0c69ad96db8f2..0abf85ca5915869309d2f3762eed7c23f05fb9bf 100644
--- a/module3/exo3/exercice.ipynb
+++ b/module3/exo3/exercice.ipynb
@@ -16,6 +16,7 @@
    "source": [
     "import pandas as pd\n",
     "import numpy as np\n",
+    "import datetime\n",
     "from matplotlib import pyplot as plt\n",
     "%matplotlib inline"
    ]
@@ -40,8 +41,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
+   "execution_count": 3,
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -125,15 +128,17 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Looks good so lets draw the \"graph showing the evolution of the cumulative number of cases over time for: Belgium, China (all provinces except Hong Kong), China, Hong-Kong, France except Dom/Tom, Germany, Iran, Italy, Japan, Korea South, Netherlands without the colonies, Portugal, Spain, United Kingdom without the colonies, US.\"\n",
+    "Looks good so lets draw the \"[...] *graph showing the evolution of the cumulative number of cases over time for: Belgium, China (all provinces except Hong Kong), China, Hong-Kong, France except Dom/Tom, Germany, Iran, Italy, Japan, Korea South, Netherlands without the colonies, Portugal, Spain, United Kingdom without the colonies, US.*\" as  proposed in the task\n",
     "\n",
     "Unfortunately we cannot take the data as is as there are some special cases:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
+   "execution_count": 4,
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
      "data": {
@@ -492,7 +497,7 @@
        "[11 rows x 123 columns]"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -503,7 +508,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -1457,7 +1462,7 @@
        "[33 rows x 123 columns]"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1468,7 +1473,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 6,
    "metadata": {
     "scrolled": true
    },
@@ -1814,7 +1819,7 @@
        "[119 rows x 1 columns]"
       ]
      },
-     "execution_count": 54,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1827,7 +1832,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -2032,7 +2037,7 @@
        "[5 rows x 123 columns]"
       ]
      },
-     "execution_count": 42,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2043,7 +2048,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -2072,12 +2077,13 @@
    "metadata": {},
    "source": [
     "Filtering like this leaves the question unanswered if line 116 contains the cases only for France except Dom/Tom or not.\n",
-    "As for other  countries there is no extra line for the country itself we assume for now The France line is France except Dom/Tom but we will check it later again."
+    "As for other  countries there is no extra line for the country itself we assume for now The France line is France except Dom/Tom This is the same assumption that is also propsed in the task:\n",
+    "\"*The data from China are organized by provinces and we have separated Hong-Kong, not in order the take a side in the tensions between the province and the Chinese state, but because this is how the data appear on the SCMP website. Overseas territories and other \"colonial residues\" are excluded from the data from France, the Netherlands, and the United Kingdom.*\""
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 169,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -2139,7 +2145,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 170,
+   "execution_count": 10,
    "metadata": {
     "scrolled": true
    },
@@ -2150,7 +2156,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 171,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -2190,7 +2196,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 172,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -3158,7 +3164,7 @@
        " [76 rows x 1 columns]}"
       ]
      },
-     "execution_count": 172,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3193,7 +3199,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 179,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -3243,7 +3249,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 191,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -3291,7 +3297,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 200,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -3438,7 +3444,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 201,
+   "execution_count": 16,
    "metadata": {
     "scrolled": true
    },
@@ -3784,7 +3790,7 @@
        "[78 rows x 1 columns]"
       ]
      },
-     "execution_count": 201,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3802,8 +3808,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 203,
-   "metadata": {},
+   "execution_count": 17,
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
      "data": {
@@ -4146,7 +4154,7 @@
        "[119 rows x 1 columns]"
       ]
      },
-     "execution_count": 203,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4169,6 +4177,2154 @@
     "## now lets do the same thing for the deaths:"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:18: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:30: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "/opt/conda/lib/python3.6/site-packages/ipykernel_launcher.py:15: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "  from ipykernel import kernelapp as app\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1080x540 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "\n",
+    "regions = ['Belgium', 'China (all provinces except Hong Kong)', 'China', 'Hong-Kong', 'France except Dom/Tom', 'Germany', 'Iran', 'Italy', 'Japan', 'Korea South', 'Netherlands without the colonies', 'Portugal', 'Spain', 'United Kingdom without the colonies', 'US']\n",
+    "to_plot = {}\n",
+    "for region in regions:\n",
+    "    region_name = region\n",
+    "    # Special cases:\n",
+    "    if \"France\" in region:\n",
+    "        region_name = \"France\" \n",
+    "    if \"Netherlands\" in region:\n",
+    "        region_name = \"Netherlands\" \n",
+    "    if \"United Kingdom\" in region:\n",
+    "        region_name = \"United Kingdom\"   \n",
+    "    if \"Korea South\" in region:\n",
+    "        region_name = \"Korea, South\"    \n",
+    "    if region == \"Hong-Kong\":\n",
+    "        d = deaths[deaths[\"Country/Region\"] == \"China\"][deaths['Province/State'] == \"Hong Kong\"]\n",
+    "        assert len(d) == 1\n",
+    "    else:\n",
+    "        d = deaths[deaths[\"Country/Region\"] == region_name][deaths['Province/State'].isnull()]\n",
+    "    \n",
+    "    if len(d) == 1:\n",
+    "        to_plot[region] = d.T[4:]\n",
+    "    else:\n",
+    "        # more special cases: China\n",
+    "        if region == \"China\":\n",
+    "            d = deaths[deaths[\"Country/Region\"] == \"China\"]\n",
+    "            agg_dict = {col: 'sum' for col in d.columns[4:]}\n",
+    "            to_plot[region] = d.groupby(['Country/Region'],as_index=False).agg(agg_dict).T[1:]\n",
+    "\n",
+    "        if region == \"China (all provinces except Hong Kong)\":\n",
+    "            d = deaths[deaths[\"Country/Region\"] == \"China\"][deaths['Province/State'] != \"Hong Kong\"]\n",
+    "            agg_dict = {col: 'sum' for col in d.columns[4:]}\n",
+    "            to_plot[region] = d.groupby(['Country/Region'],as_index=False).agg(agg_dict).T[1:]\n",
+    "            \n",
+    "    to_plot[region].index = pd.to_datetime(to_plot[region].index)\n",
+    "    col_name = to_plot[region].columns[0]\n",
+    "    to_plot[region] = to_plot[region].rename(columns={col_name: \"deaths cases\"})\n",
+    "    \n",
+    "      \n",
+    "    \n",
+    "assert len(to_plot) == len(regions)\n",
+    "\n",
+    "to_plot_cut = {}\n",
+    "# for region, data in to_plot.items():  # something is wrong here!\n",
+    "#     cutpoint = -1    \n",
+    "#     col = data.columns[0]    \n",
+    "#     for i, val in enumerate(data[\"deaths cases\"]):\n",
+    "#         #print(val)\n",
+    "#         if val >= 150:\n",
+    "#             cutpoint = i            \n",
+    "#             break\n",
+    "#     assert cutpoint != -1\n",
+    "#     to_plot_cut[region] = data.iloc[cutpoint:]  \n",
+    "# to_plot_cut\n",
+    "\n",
+    "fig = plt.figure(figsize=(15,7.5))\n",
+    "ax = plt.subplot(111)\n",
+    "\n",
+    "\n",
+    "for region, data in to_plot.items():\n",
+    "    xs = np.arange(0,len(data[\"deaths cases\"]),1)\n",
+    "    ys = data[\"deaths cases\"][:]\n",
+    "    p = ax.plot(xs, ys, label=region)\n",
+    "    annotation_text = region\n",
+    "    if \"except Hong Kong\" in region:\n",
+    "        annotation_text = \"\\n\"+annotation_text\n",
+    "    ax.annotate(annotation_text, xy=(xs[-1], ys[-1]),  xycoords='data',\n",
+    "            xytext=(xs[-1], ys[-1]), textcoords='data',\n",
+    "            arrowprops=dict(facecolor='black', shrink=-0.05),\n",
+    "            horizontalalignment='right', verticalalignment='top', color = p[0].get_color()\n",
+    "            )\n",
+    "\n",
+    "plt.grid()\n",
+    "plt.yscale(\"log\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### lets focus on france as proposed in the task:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# https://www.insee.fr/fr/statistiques/4487988?sommaire=4487854 :\n",
+    "deaths_france = pd.read_csv('2020-05-15_deces_quotidiens_departement_csv.csv', sep=\";\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Date_evenement</th>\n",
+       "      <th>Zone</th>\n",
+       "      <th>Communes_a_envoi_dematerialise_Deces2020</th>\n",
+       "      <th>Total_deces_2020</th>\n",
+       "      <th>Communes_a_envoi_dematerialise_Deces2019</th>\n",
+       "      <th>Total_deces_2019</th>\n",
+       "      <th>Communes_a_envoi_dematerialise_Deces2018</th>\n",
+       "      <th>Total_deces_2018</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>01/03/2020</td>\n",
+       "      <td>France</td>\n",
+       "      <td>1625.0</td>\n",
+       "      <td>1777.0</td>\n",
+       "      <td>1708</td>\n",
+       "      <td>1872</td>\n",
+       "      <td>1928</td>\n",
+       "      <td>2136</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>02/03/2020</td>\n",
+       "      <td>France</td>\n",
+       "      <td>3263.0</td>\n",
+       "      <td>3555.0</td>\n",
+       "      <td>3467</td>\n",
+       "      <td>3782</td>\n",
+       "      <td>3933</td>\n",
+       "      <td>4327</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>03/03/2020</td>\n",
+       "      <td>France</td>\n",
+       "      <td>4891.0</td>\n",
+       "      <td>5316.0</td>\n",
+       "      <td>5035</td>\n",
+       "      <td>5530</td>\n",
+       "      <td>5881</td>\n",
+       "      <td>6455</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>04/03/2020</td>\n",
+       "      <td>France</td>\n",
+       "      <td>6571.0</td>\n",
+       "      <td>7121.0</td>\n",
+       "      <td>6747</td>\n",
+       "      <td>7410</td>\n",
+       "      <td>7768</td>\n",
+       "      <td>8545</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>05/03/2020</td>\n",
+       "      <td>France</td>\n",
+       "      <td>8197.0</td>\n",
+       "      <td>8891.0</td>\n",
+       "      <td>8455</td>\n",
+       "      <td>9278</td>\n",
+       "      <td>9769</td>\n",
+       "      <td>10746</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>06/03/2020</td>\n",
+       "      <td>France</td>\n",
+       "      <td>9896.0</td>\n",
+       "      <td>10731.0</td>\n",
+       "      <td>10178</td>\n",
+       "      <td>11148</td>\n",
+       "      <td>11731</td>\n",
+       "      <td>12904</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>07/03/2020</td>\n",
+       "      <td>France</td>\n",
+       "      <td>11435.0</td>\n",
+       "      <td>12416.0</td>\n",
+       "      <td>11857</td>\n",
+       "      <td>13007</td>\n",
+       "      <td>13615</td>\n",
+       "      <td>14959</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>08/03/2020</td>\n",
+       "      <td>France</td>\n",
+       "      <td>13005.0</td>\n",
+       "      <td>14122.0</td>\n",
+       "      <td>13513</td>\n",
+       "      <td>14808</td>\n",
+       "      <td>15542</td>\n",
+       "      <td>17066</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>09/03/2020</td>\n",
+       "      <td>France</td>\n",
+       "      <td>14674.0</td>\n",
+       "      <td>15939.0</td>\n",
+       "      <td>15131</td>\n",
+       "      <td>16581</td>\n",
+       "      <td>17429</td>\n",
+       "      <td>19115</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>10/03/2020</td>\n",
+       "      <td>France</td>\n",
+       "      <td>16328.0</td>\n",
+       "      <td>17761.0</td>\n",
+       "      <td>16653</td>\n",
+       "      <td>18248</td>\n",
+       "      <td>19324</td>\n",
+       "      <td>21201</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>11/03/2020</td>\n",
+       "      <td>France</td>\n",
+       "      <td>18079.0</td>\n",
+       "      <td>19655.0</td>\n",
+       "      <td>18276</td>\n",
+       "      <td>20014</td>\n",
+       "      <td>21082</td>\n",
+       "      <td>23143</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>12/03/2020</td>\n",
+       "      <td>France</td>\n",
+       "      <td>19721.0</td>\n",
+       "      <td>21448.0</td>\n",
+       "      <td>19863</td>\n",
+       "      <td>21720</td>\n",
+       "      <td>22937</td>\n",
+       "      <td>25190</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>13/03/2020</td>\n",
+       "      <td>France</td>\n",
+       "      <td>21366.0</td>\n",
+       "      <td>23225.0</td>\n",
+       "      <td>21392</td>\n",
+       "      <td>23411</td>\n",
+       "      <td>24732</td>\n",
+       "      <td>27170</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>14/03/2020</td>\n",
+       "      <td>France</td>\n",
+       "      <td>22998.0</td>\n",
+       "      <td>25001.0</td>\n",
+       "      <td>22950</td>\n",
+       "      <td>25129</td>\n",
+       "      <td>26482</td>\n",
+       "      <td>29097</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>15/03/2020</td>\n",
+       "      <td>France</td>\n",
+       "      <td>24680.0</td>\n",
+       "      <td>26845.0</td>\n",
+       "      <td>24540</td>\n",
+       "      <td>26875</td>\n",
+       "      <td>28213</td>\n",
+       "      <td>30995</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>16/03/2020</td>\n",
+       "      <td>France</td>\n",
+       "      <td>26494.0</td>\n",
+       "      <td>28830.0</td>\n",
+       "      <td>26100</td>\n",
+       "      <td>28595</td>\n",
+       "      <td>29960</td>\n",
+       "      <td>32902</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>17/03/2020</td>\n",
+       "      <td>France</td>\n",
+       "      <td>28380.0</td>\n",
+       "      <td>30870.0</td>\n",
+       "      <td>27583</td>\n",
+       "      <td>30230</td>\n",
+       "      <td>31630</td>\n",
+       "      <td>34742</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>18/03/2020</td>\n",
+       "      <td>France</td>\n",
+       "      <td>30216.0</td>\n",
+       "      <td>32874.0</td>\n",
+       "      <td>29195</td>\n",
+       "      <td>31987</td>\n",
+       "      <td>33235</td>\n",
+       "      <td>36533</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>19/03/2020</td>\n",
+       "      <td>France</td>\n",
+       "      <td>32163.0</td>\n",
+       "      <td>34985.0</td>\n",
+       "      <td>30727</td>\n",
+       "      <td>33671</td>\n",
+       "      <td>34895</td>\n",
+       "      <td>38356</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>20/03/2020</td>\n",
+       "      <td>France</td>\n",
+       "      <td>34051.0</td>\n",
+       "      <td>37019.0</td>\n",
+       "      <td>32230</td>\n",
+       "      <td>35332</td>\n",
+       "      <td>36528</td>\n",
+       "      <td>40147</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>21/03/2020</td>\n",
+       "      <td>France</td>\n",
+       "      <td>35845.0</td>\n",
+       "      <td>38948.0</td>\n",
+       "      <td>33787</td>\n",
+       "      <td>37033</td>\n",
+       "      <td>38268</td>\n",
+       "      <td>42049</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>22/03/2020</td>\n",
+       "      <td>France</td>\n",
+       "      <td>37689.0</td>\n",
+       "      <td>40953.0</td>\n",
+       "      <td>35336</td>\n",
+       "      <td>38721</td>\n",
+       "      <td>40020</td>\n",
+       "      <td>43941</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>23/03/2020</td>\n",
+       "      <td>France</td>\n",
+       "      <td>39673.0</td>\n",
+       "      <td>43110.0</td>\n",
+       "      <td>36900</td>\n",
+       "      <td>40419</td>\n",
+       "      <td>41678</td>\n",
+       "      <td>45767</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>24/03/2020</td>\n",
+       "      <td>France</td>\n",
+       "      <td>41700.0</td>\n",
+       "      <td>45270.0</td>\n",
+       "      <td>38403</td>\n",
+       "      <td>42047</td>\n",
+       "      <td>43386</td>\n",
+       "      <td>47652</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>25/03/2020</td>\n",
+       "      <td>France</td>\n",
+       "      <td>43845.0</td>\n",
+       "      <td>47593.0</td>\n",
+       "      <td>39927</td>\n",
+       "      <td>43712</td>\n",
+       "      <td>45036</td>\n",
+       "      <td>49469</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>26/03/2020</td>\n",
+       "      <td>France</td>\n",
+       "      <td>46063.0</td>\n",
+       "      <td>49967.0</td>\n",
+       "      <td>41419</td>\n",
+       "      <td>45337</td>\n",
+       "      <td>46729</td>\n",
+       "      <td>51322</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>27/03/2020</td>\n",
+       "      <td>France</td>\n",
+       "      <td>48294.0</td>\n",
+       "      <td>52378.0</td>\n",
+       "      <td>42964</td>\n",
+       "      <td>47023</td>\n",
+       "      <td>48440</td>\n",
+       "      <td>53182</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>28/03/2020</td>\n",
+       "      <td>France</td>\n",
+       "      <td>50599.0</td>\n",
+       "      <td>54891.0</td>\n",
+       "      <td>44512</td>\n",
+       "      <td>48713</td>\n",
+       "      <td>50090</td>\n",
+       "      <td>55009</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>29/03/2020</td>\n",
+       "      <td>France</td>\n",
+       "      <td>52790.0</td>\n",
+       "      <td>57263.0</td>\n",
+       "      <td>46010</td>\n",
+       "      <td>50376</td>\n",
+       "      <td>51727</td>\n",
+       "      <td>56836</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>30/03/2020</td>\n",
+       "      <td>France</td>\n",
+       "      <td>55268.0</td>\n",
+       "      <td>59933.0</td>\n",
+       "      <td>47485</td>\n",
+       "      <td>52013</td>\n",
+       "      <td>53364</td>\n",
+       "      <td>58641</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9354</th>\n",
+       "      <td>02/05/2020</td>\n",
+       "      <td>Dept_976</td>\n",
+       "      <td>186.0</td>\n",
+       "      <td>186.0</td>\n",
+       "      <td>150</td>\n",
+       "      <td>150</td>\n",
+       "      <td>115</td>\n",
+       "      <td>115</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9355</th>\n",
+       "      <td>03/05/2020</td>\n",
+       "      <td>Dept_976</td>\n",
+       "      <td>192.0</td>\n",
+       "      <td>192.0</td>\n",
+       "      <td>153</td>\n",
+       "      <td>153</td>\n",
+       "      <td>116</td>\n",
+       "      <td>116</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9356</th>\n",
+       "      <td>04/05/2020</td>\n",
+       "      <td>Dept_976</td>\n",
+       "      <td>196.0</td>\n",
+       "      <td>196.0</td>\n",
+       "      <td>158</td>\n",
+       "      <td>158</td>\n",
+       "      <td>118</td>\n",
+       "      <td>118</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9357</th>\n",
+       "      <td>05/05/2020</td>\n",
+       "      <td>Dept_976</td>\n",
+       "      <td>199.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>163</td>\n",
+       "      <td>163</td>\n",
+       "      <td>121</td>\n",
+       "      <td>121</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9358</th>\n",
+       "      <td>06/05/2020</td>\n",
+       "      <td>Dept_976</td>\n",
+       "      <td>199.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>163</td>\n",
+       "      <td>163</td>\n",
+       "      <td>123</td>\n",
+       "      <td>123</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9359</th>\n",
+       "      <td>07/05/2020</td>\n",
+       "      <td>Dept_976</td>\n",
+       "      <td>201.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>167</td>\n",
+       "      <td>167</td>\n",
+       "      <td>124</td>\n",
+       "      <td>124</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9360</th>\n",
+       "      <td>08/05/2020</td>\n",
+       "      <td>Dept_976</td>\n",
+       "      <td>202.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>168</td>\n",
+       "      <td>168</td>\n",
+       "      <td>125</td>\n",
+       "      <td>125</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9361</th>\n",
+       "      <td>09/05/2020</td>\n",
+       "      <td>Dept_976</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>173</td>\n",
+       "      <td>173</td>\n",
+       "      <td>129</td>\n",
+       "      <td>129</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9362</th>\n",
+       "      <td>10/05/2020</td>\n",
+       "      <td>Dept_976</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>177</td>\n",
+       "      <td>177</td>\n",
+       "      <td>132</td>\n",
+       "      <td>132</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9363</th>\n",
+       "      <td>11/05/2020</td>\n",
+       "      <td>Dept_976</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>178</td>\n",
+       "      <td>178</td>\n",
+       "      <td>134</td>\n",
+       "      <td>134</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9364</th>\n",
+       "      <td>12/05/2020</td>\n",
+       "      <td>Dept_976</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>182</td>\n",
+       "      <td>182</td>\n",
+       "      <td>136</td>\n",
+       "      <td>136</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9365</th>\n",
+       "      <td>13/05/2020</td>\n",
+       "      <td>Dept_976</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>183</td>\n",
+       "      <td>183</td>\n",
+       "      <td>138</td>\n",
+       "      <td>138</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9366</th>\n",
+       "      <td>14/05/2020</td>\n",
+       "      <td>Dept_976</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>184</td>\n",
+       "      <td>184</td>\n",
+       "      <td>140</td>\n",
+       "      <td>140</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9367</th>\n",
+       "      <td>15/05/2020</td>\n",
+       "      <td>Dept_976</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>184</td>\n",
+       "      <td>184</td>\n",
+       "      <td>141</td>\n",
+       "      <td>141</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9368</th>\n",
+       "      <td>16/05/2020</td>\n",
+       "      <td>Dept_976</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>187</td>\n",
+       "      <td>187</td>\n",
+       "      <td>142</td>\n",
+       "      <td>142</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9369</th>\n",
+       "      <td>17/05/2020</td>\n",
+       "      <td>Dept_976</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>188</td>\n",
+       "      <td>188</td>\n",
+       "      <td>143</td>\n",
+       "      <td>143</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9370</th>\n",
+       "      <td>18/05/2020</td>\n",
+       "      <td>Dept_976</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>190</td>\n",
+       "      <td>190</td>\n",
+       "      <td>143</td>\n",
+       "      <td>143</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9371</th>\n",
+       "      <td>19/05/2020</td>\n",
+       "      <td>Dept_976</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>190</td>\n",
+       "      <td>190</td>\n",
+       "      <td>145</td>\n",
+       "      <td>145</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9372</th>\n",
+       "      <td>20/05/2020</td>\n",
+       "      <td>Dept_976</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>191</td>\n",
+       "      <td>191</td>\n",
+       "      <td>145</td>\n",
+       "      <td>145</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9373</th>\n",
+       "      <td>21/05/2020</td>\n",
+       "      <td>Dept_976</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>193</td>\n",
+       "      <td>193</td>\n",
+       "      <td>147</td>\n",
+       "      <td>147</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9374</th>\n",
+       "      <td>22/05/2020</td>\n",
+       "      <td>Dept_976</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>195</td>\n",
+       "      <td>195</td>\n",
+       "      <td>149</td>\n",
+       "      <td>149</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9375</th>\n",
+       "      <td>23/05/2020</td>\n",
+       "      <td>Dept_976</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>196</td>\n",
+       "      <td>196</td>\n",
+       "      <td>152</td>\n",
+       "      <td>152</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9376</th>\n",
+       "      <td>24/05/2020</td>\n",
+       "      <td>Dept_976</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>199</td>\n",
+       "      <td>199</td>\n",
+       "      <td>154</td>\n",
+       "      <td>154</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9377</th>\n",
+       "      <td>25/05/2020</td>\n",
+       "      <td>Dept_976</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>202</td>\n",
+       "      <td>202</td>\n",
+       "      <td>158</td>\n",
+       "      <td>158</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9378</th>\n",
+       "      <td>26/05/2020</td>\n",
+       "      <td>Dept_976</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>202</td>\n",
+       "      <td>202</td>\n",
+       "      <td>160</td>\n",
+       "      <td>160</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9379</th>\n",
+       "      <td>27/05/2020</td>\n",
+       "      <td>Dept_976</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>203</td>\n",
+       "      <td>203</td>\n",
+       "      <td>160</td>\n",
+       "      <td>160</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9380</th>\n",
+       "      <td>28/05/2020</td>\n",
+       "      <td>Dept_976</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>207</td>\n",
+       "      <td>207</td>\n",
+       "      <td>164</td>\n",
+       "      <td>164</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9381</th>\n",
+       "      <td>29/05/2020</td>\n",
+       "      <td>Dept_976</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>208</td>\n",
+       "      <td>208</td>\n",
+       "      <td>166</td>\n",
+       "      <td>166</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9382</th>\n",
+       "      <td>30/05/2020</td>\n",
+       "      <td>Dept_976</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>208</td>\n",
+       "      <td>208</td>\n",
+       "      <td>167</td>\n",
+       "      <td>167</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9383</th>\n",
+       "      <td>31/05/2020</td>\n",
+       "      <td>Dept_976</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>209</td>\n",
+       "      <td>209</td>\n",
+       "      <td>168</td>\n",
+       "      <td>168</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>9384 rows × 8 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     Date_evenement      Zone  Communes_a_envoi_dematerialise_Deces2020  \\\n",
+       "0        01/03/2020    France                                    1625.0   \n",
+       "1        02/03/2020    France                                    3263.0   \n",
+       "2        03/03/2020    France                                    4891.0   \n",
+       "3        04/03/2020    France                                    6571.0   \n",
+       "4        05/03/2020    France                                    8197.0   \n",
+       "5        06/03/2020    France                                    9896.0   \n",
+       "6        07/03/2020    France                                   11435.0   \n",
+       "7        08/03/2020    France                                   13005.0   \n",
+       "8        09/03/2020    France                                   14674.0   \n",
+       "9        10/03/2020    France                                   16328.0   \n",
+       "10       11/03/2020    France                                   18079.0   \n",
+       "11       12/03/2020    France                                   19721.0   \n",
+       "12       13/03/2020    France                                   21366.0   \n",
+       "13       14/03/2020    France                                   22998.0   \n",
+       "14       15/03/2020    France                                   24680.0   \n",
+       "15       16/03/2020    France                                   26494.0   \n",
+       "16       17/03/2020    France                                   28380.0   \n",
+       "17       18/03/2020    France                                   30216.0   \n",
+       "18       19/03/2020    France                                   32163.0   \n",
+       "19       20/03/2020    France                                   34051.0   \n",
+       "20       21/03/2020    France                                   35845.0   \n",
+       "21       22/03/2020    France                                   37689.0   \n",
+       "22       23/03/2020    France                                   39673.0   \n",
+       "23       24/03/2020    France                                   41700.0   \n",
+       "24       25/03/2020    France                                   43845.0   \n",
+       "25       26/03/2020    France                                   46063.0   \n",
+       "26       27/03/2020    France                                   48294.0   \n",
+       "27       28/03/2020    France                                   50599.0   \n",
+       "28       29/03/2020    France                                   52790.0   \n",
+       "29       30/03/2020    France                                   55268.0   \n",
+       "...             ...       ...                                       ...   \n",
+       "9354     02/05/2020  Dept_976                                     186.0   \n",
+       "9355     03/05/2020  Dept_976                                     192.0   \n",
+       "9356     04/05/2020  Dept_976                                     196.0   \n",
+       "9357     05/05/2020  Dept_976                                     199.0   \n",
+       "9358     06/05/2020  Dept_976                                     199.0   \n",
+       "9359     07/05/2020  Dept_976                                     201.0   \n",
+       "9360     08/05/2020  Dept_976                                     202.0   \n",
+       "9361     09/05/2020  Dept_976                                       NaN   \n",
+       "9362     10/05/2020  Dept_976                                       NaN   \n",
+       "9363     11/05/2020  Dept_976                                       NaN   \n",
+       "9364     12/05/2020  Dept_976                                       NaN   \n",
+       "9365     13/05/2020  Dept_976                                       NaN   \n",
+       "9366     14/05/2020  Dept_976                                       NaN   \n",
+       "9367     15/05/2020  Dept_976                                       NaN   \n",
+       "9368     16/05/2020  Dept_976                                       NaN   \n",
+       "9369     17/05/2020  Dept_976                                       NaN   \n",
+       "9370     18/05/2020  Dept_976                                       NaN   \n",
+       "9371     19/05/2020  Dept_976                                       NaN   \n",
+       "9372     20/05/2020  Dept_976                                       NaN   \n",
+       "9373     21/05/2020  Dept_976                                       NaN   \n",
+       "9374     22/05/2020  Dept_976                                       NaN   \n",
+       "9375     23/05/2020  Dept_976                                       NaN   \n",
+       "9376     24/05/2020  Dept_976                                       NaN   \n",
+       "9377     25/05/2020  Dept_976                                       NaN   \n",
+       "9378     26/05/2020  Dept_976                                       NaN   \n",
+       "9379     27/05/2020  Dept_976                                       NaN   \n",
+       "9380     28/05/2020  Dept_976                                       NaN   \n",
+       "9381     29/05/2020  Dept_976                                       NaN   \n",
+       "9382     30/05/2020  Dept_976                                       NaN   \n",
+       "9383     31/05/2020  Dept_976                                       NaN   \n",
+       "\n",
+       "      Total_deces_2020  Communes_a_envoi_dematerialise_Deces2019  \\\n",
+       "0               1777.0                                      1708   \n",
+       "1               3555.0                                      3467   \n",
+       "2               5316.0                                      5035   \n",
+       "3               7121.0                                      6747   \n",
+       "4               8891.0                                      8455   \n",
+       "5              10731.0                                     10178   \n",
+       "6              12416.0                                     11857   \n",
+       "7              14122.0                                     13513   \n",
+       "8              15939.0                                     15131   \n",
+       "9              17761.0                                     16653   \n",
+       "10             19655.0                                     18276   \n",
+       "11             21448.0                                     19863   \n",
+       "12             23225.0                                     21392   \n",
+       "13             25001.0                                     22950   \n",
+       "14             26845.0                                     24540   \n",
+       "15             28830.0                                     26100   \n",
+       "16             30870.0                                     27583   \n",
+       "17             32874.0                                     29195   \n",
+       "18             34985.0                                     30727   \n",
+       "19             37019.0                                     32230   \n",
+       "20             38948.0                                     33787   \n",
+       "21             40953.0                                     35336   \n",
+       "22             43110.0                                     36900   \n",
+       "23             45270.0                                     38403   \n",
+       "24             47593.0                                     39927   \n",
+       "25             49967.0                                     41419   \n",
+       "26             52378.0                                     42964   \n",
+       "27             54891.0                                     44512   \n",
+       "28             57263.0                                     46010   \n",
+       "29             59933.0                                     47485   \n",
+       "...                ...                                       ...   \n",
+       "9354             186.0                                       150   \n",
+       "9355             192.0                                       153   \n",
+       "9356             196.0                                       158   \n",
+       "9357               NaN                                       163   \n",
+       "9358               NaN                                       163   \n",
+       "9359               NaN                                       167   \n",
+       "9360               NaN                                       168   \n",
+       "9361               NaN                                       173   \n",
+       "9362               NaN                                       177   \n",
+       "9363               NaN                                       178   \n",
+       "9364               NaN                                       182   \n",
+       "9365               NaN                                       183   \n",
+       "9366               NaN                                       184   \n",
+       "9367               NaN                                       184   \n",
+       "9368               NaN                                       187   \n",
+       "9369               NaN                                       188   \n",
+       "9370               NaN                                       190   \n",
+       "9371               NaN                                       190   \n",
+       "9372               NaN                                       191   \n",
+       "9373               NaN                                       193   \n",
+       "9374               NaN                                       195   \n",
+       "9375               NaN                                       196   \n",
+       "9376               NaN                                       199   \n",
+       "9377               NaN                                       202   \n",
+       "9378               NaN                                       202   \n",
+       "9379               NaN                                       203   \n",
+       "9380               NaN                                       207   \n",
+       "9381               NaN                                       208   \n",
+       "9382               NaN                                       208   \n",
+       "9383               NaN                                       209   \n",
+       "\n",
+       "      Total_deces_2019  Communes_a_envoi_dematerialise_Deces2018  \\\n",
+       "0                 1872                                      1928   \n",
+       "1                 3782                                      3933   \n",
+       "2                 5530                                      5881   \n",
+       "3                 7410                                      7768   \n",
+       "4                 9278                                      9769   \n",
+       "5                11148                                     11731   \n",
+       "6                13007                                     13615   \n",
+       "7                14808                                     15542   \n",
+       "8                16581                                     17429   \n",
+       "9                18248                                     19324   \n",
+       "10               20014                                     21082   \n",
+       "11               21720                                     22937   \n",
+       "12               23411                                     24732   \n",
+       "13               25129                                     26482   \n",
+       "14               26875                                     28213   \n",
+       "15               28595                                     29960   \n",
+       "16               30230                                     31630   \n",
+       "17               31987                                     33235   \n",
+       "18               33671                                     34895   \n",
+       "19               35332                                     36528   \n",
+       "20               37033                                     38268   \n",
+       "21               38721                                     40020   \n",
+       "22               40419                                     41678   \n",
+       "23               42047                                     43386   \n",
+       "24               43712                                     45036   \n",
+       "25               45337                                     46729   \n",
+       "26               47023                                     48440   \n",
+       "27               48713                                     50090   \n",
+       "28               50376                                     51727   \n",
+       "29               52013                                     53364   \n",
+       "...                ...                                       ...   \n",
+       "9354               150                                       115   \n",
+       "9355               153                                       116   \n",
+       "9356               158                                       118   \n",
+       "9357               163                                       121   \n",
+       "9358               163                                       123   \n",
+       "9359               167                                       124   \n",
+       "9360               168                                       125   \n",
+       "9361               173                                       129   \n",
+       "9362               177                                       132   \n",
+       "9363               178                                       134   \n",
+       "9364               182                                       136   \n",
+       "9365               183                                       138   \n",
+       "9366               184                                       140   \n",
+       "9367               184                                       141   \n",
+       "9368               187                                       142   \n",
+       "9369               188                                       143   \n",
+       "9370               190                                       143   \n",
+       "9371               190                                       145   \n",
+       "9372               191                                       145   \n",
+       "9373               193                                       147   \n",
+       "9374               195                                       149   \n",
+       "9375               196                                       152   \n",
+       "9376               199                                       154   \n",
+       "9377               202                                       158   \n",
+       "9378               202                                       160   \n",
+       "9379               203                                       160   \n",
+       "9380               207                                       164   \n",
+       "9381               208                                       166   \n",
+       "9382               208                                       167   \n",
+       "9383               209                                       168   \n",
+       "\n",
+       "      Total_deces_2018  \n",
+       "0                 2136  \n",
+       "1                 4327  \n",
+       "2                 6455  \n",
+       "3                 8545  \n",
+       "4                10746  \n",
+       "5                12904  \n",
+       "6                14959  \n",
+       "7                17066  \n",
+       "8                19115  \n",
+       "9                21201  \n",
+       "10               23143  \n",
+       "11               25190  \n",
+       "12               27170  \n",
+       "13               29097  \n",
+       "14               30995  \n",
+       "15               32902  \n",
+       "16               34742  \n",
+       "17               36533  \n",
+       "18               38356  \n",
+       "19               40147  \n",
+       "20               42049  \n",
+       "21               43941  \n",
+       "22               45767  \n",
+       "23               47652  \n",
+       "24               49469  \n",
+       "25               51322  \n",
+       "26               53182  \n",
+       "27               55009  \n",
+       "28               56836  \n",
+       "29               58641  \n",
+       "...                ...  \n",
+       "9354               115  \n",
+       "9355               116  \n",
+       "9356               118  \n",
+       "9357               121  \n",
+       "9358               123  \n",
+       "9359               124  \n",
+       "9360               125  \n",
+       "9361               129  \n",
+       "9362               132  \n",
+       "9363               134  \n",
+       "9364               136  \n",
+       "9365               138  \n",
+       "9366               140  \n",
+       "9367               141  \n",
+       "9368               142  \n",
+       "9369               143  \n",
+       "9370               143  \n",
+       "9371               145  \n",
+       "9372               145  \n",
+       "9373               147  \n",
+       "9374               149  \n",
+       "9375               152  \n",
+       "9376               154  \n",
+       "9377               158  \n",
+       "9378               160  \n",
+       "9379               160  \n",
+       "9380               164  \n",
+       "9381               166  \n",
+       "9382               167  \n",
+       "9383               168  \n",
+       "\n",
+       "[9384 rows x 8 columns]"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "deaths_france"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Zone</th>\n",
+       "      <th>Communes_a_envoi_dematerialise_Deces2020</th>\n",
+       "      <th>Total_deces_2020</th>\n",
+       "      <th>Communes_a_envoi_dematerialise_Deces2019</th>\n",
+       "      <th>Total_deces_2019</th>\n",
+       "      <th>Communes_a_envoi_dematerialise_Deces2018</th>\n",
+       "      <th>Total_deces_2018</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Date_evenement</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2020-03-01</th>\n",
+       "      <td>France</td>\n",
+       "      <td>1625.0</td>\n",
+       "      <td>1777.0</td>\n",
+       "      <td>1708</td>\n",
+       "      <td>1872</td>\n",
+       "      <td>1928</td>\n",
+       "      <td>2136</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-03-02</th>\n",
+       "      <td>France</td>\n",
+       "      <td>3263.0</td>\n",
+       "      <td>3555.0</td>\n",
+       "      <td>3467</td>\n",
+       "      <td>3782</td>\n",
+       "      <td>3933</td>\n",
+       "      <td>4327</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-03-03</th>\n",
+       "      <td>France</td>\n",
+       "      <td>4891.0</td>\n",
+       "      <td>5316.0</td>\n",
+       "      <td>5035</td>\n",
+       "      <td>5530</td>\n",
+       "      <td>5881</td>\n",
+       "      <td>6455</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-03-04</th>\n",
+       "      <td>France</td>\n",
+       "      <td>6571.0</td>\n",
+       "      <td>7121.0</td>\n",
+       "      <td>6747</td>\n",
+       "      <td>7410</td>\n",
+       "      <td>7768</td>\n",
+       "      <td>8545</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-03-05</th>\n",
+       "      <td>France</td>\n",
+       "      <td>8197.0</td>\n",
+       "      <td>8891.0</td>\n",
+       "      <td>8455</td>\n",
+       "      <td>9278</td>\n",
+       "      <td>9769</td>\n",
+       "      <td>10746</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-03-06</th>\n",
+       "      <td>France</td>\n",
+       "      <td>9896.0</td>\n",
+       "      <td>10731.0</td>\n",
+       "      <td>10178</td>\n",
+       "      <td>11148</td>\n",
+       "      <td>11731</td>\n",
+       "      <td>12904</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-03-07</th>\n",
+       "      <td>France</td>\n",
+       "      <td>11435.0</td>\n",
+       "      <td>12416.0</td>\n",
+       "      <td>11857</td>\n",
+       "      <td>13007</td>\n",
+       "      <td>13615</td>\n",
+       "      <td>14959</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-03-08</th>\n",
+       "      <td>France</td>\n",
+       "      <td>13005.0</td>\n",
+       "      <td>14122.0</td>\n",
+       "      <td>13513</td>\n",
+       "      <td>14808</td>\n",
+       "      <td>15542</td>\n",
+       "      <td>17066</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-03-09</th>\n",
+       "      <td>France</td>\n",
+       "      <td>14674.0</td>\n",
+       "      <td>15939.0</td>\n",
+       "      <td>15131</td>\n",
+       "      <td>16581</td>\n",
+       "      <td>17429</td>\n",
+       "      <td>19115</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-03-10</th>\n",
+       "      <td>France</td>\n",
+       "      <td>16328.0</td>\n",
+       "      <td>17761.0</td>\n",
+       "      <td>16653</td>\n",
+       "      <td>18248</td>\n",
+       "      <td>19324</td>\n",
+       "      <td>21201</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-03-11</th>\n",
+       "      <td>France</td>\n",
+       "      <td>18079.0</td>\n",
+       "      <td>19655.0</td>\n",
+       "      <td>18276</td>\n",
+       "      <td>20014</td>\n",
+       "      <td>21082</td>\n",
+       "      <td>23143</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-03-12</th>\n",
+       "      <td>France</td>\n",
+       "      <td>19721.0</td>\n",
+       "      <td>21448.0</td>\n",
+       "      <td>19863</td>\n",
+       "      <td>21720</td>\n",
+       "      <td>22937</td>\n",
+       "      <td>25190</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-03-13</th>\n",
+       "      <td>France</td>\n",
+       "      <td>21366.0</td>\n",
+       "      <td>23225.0</td>\n",
+       "      <td>21392</td>\n",
+       "      <td>23411</td>\n",
+       "      <td>24732</td>\n",
+       "      <td>27170</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-03-14</th>\n",
+       "      <td>France</td>\n",
+       "      <td>22998.0</td>\n",
+       "      <td>25001.0</td>\n",
+       "      <td>22950</td>\n",
+       "      <td>25129</td>\n",
+       "      <td>26482</td>\n",
+       "      <td>29097</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-03-15</th>\n",
+       "      <td>France</td>\n",
+       "      <td>24680.0</td>\n",
+       "      <td>26845.0</td>\n",
+       "      <td>24540</td>\n",
+       "      <td>26875</td>\n",
+       "      <td>28213</td>\n",
+       "      <td>30995</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-03-16</th>\n",
+       "      <td>France</td>\n",
+       "      <td>26494.0</td>\n",
+       "      <td>28830.0</td>\n",
+       "      <td>26100</td>\n",
+       "      <td>28595</td>\n",
+       "      <td>29960</td>\n",
+       "      <td>32902</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-03-17</th>\n",
+       "      <td>France</td>\n",
+       "      <td>28380.0</td>\n",
+       "      <td>30870.0</td>\n",
+       "      <td>27583</td>\n",
+       "      <td>30230</td>\n",
+       "      <td>31630</td>\n",
+       "      <td>34742</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-03-18</th>\n",
+       "      <td>France</td>\n",
+       "      <td>30216.0</td>\n",
+       "      <td>32874.0</td>\n",
+       "      <td>29195</td>\n",
+       "      <td>31987</td>\n",
+       "      <td>33235</td>\n",
+       "      <td>36533</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-03-19</th>\n",
+       "      <td>France</td>\n",
+       "      <td>32163.0</td>\n",
+       "      <td>34985.0</td>\n",
+       "      <td>30727</td>\n",
+       "      <td>33671</td>\n",
+       "      <td>34895</td>\n",
+       "      <td>38356</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-03-20</th>\n",
+       "      <td>France</td>\n",
+       "      <td>34051.0</td>\n",
+       "      <td>37019.0</td>\n",
+       "      <td>32230</td>\n",
+       "      <td>35332</td>\n",
+       "      <td>36528</td>\n",
+       "      <td>40147</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-03-21</th>\n",
+       "      <td>France</td>\n",
+       "      <td>35845.0</td>\n",
+       "      <td>38948.0</td>\n",
+       "      <td>33787</td>\n",
+       "      <td>37033</td>\n",
+       "      <td>38268</td>\n",
+       "      <td>42049</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-03-22</th>\n",
+       "      <td>France</td>\n",
+       "      <td>37689.0</td>\n",
+       "      <td>40953.0</td>\n",
+       "      <td>35336</td>\n",
+       "      <td>38721</td>\n",
+       "      <td>40020</td>\n",
+       "      <td>43941</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-03-23</th>\n",
+       "      <td>France</td>\n",
+       "      <td>39673.0</td>\n",
+       "      <td>43110.0</td>\n",
+       "      <td>36900</td>\n",
+       "      <td>40419</td>\n",
+       "      <td>41678</td>\n",
+       "      <td>45767</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-03-24</th>\n",
+       "      <td>France</td>\n",
+       "      <td>41700.0</td>\n",
+       "      <td>45270.0</td>\n",
+       "      <td>38403</td>\n",
+       "      <td>42047</td>\n",
+       "      <td>43386</td>\n",
+       "      <td>47652</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-03-25</th>\n",
+       "      <td>France</td>\n",
+       "      <td>43845.0</td>\n",
+       "      <td>47593.0</td>\n",
+       "      <td>39927</td>\n",
+       "      <td>43712</td>\n",
+       "      <td>45036</td>\n",
+       "      <td>49469</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-03-26</th>\n",
+       "      <td>France</td>\n",
+       "      <td>46063.0</td>\n",
+       "      <td>49967.0</td>\n",
+       "      <td>41419</td>\n",
+       "      <td>45337</td>\n",
+       "      <td>46729</td>\n",
+       "      <td>51322</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-03-27</th>\n",
+       "      <td>France</td>\n",
+       "      <td>48294.0</td>\n",
+       "      <td>52378.0</td>\n",
+       "      <td>42964</td>\n",
+       "      <td>47023</td>\n",
+       "      <td>48440</td>\n",
+       "      <td>53182</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-03-28</th>\n",
+       "      <td>France</td>\n",
+       "      <td>50599.0</td>\n",
+       "      <td>54891.0</td>\n",
+       "      <td>44512</td>\n",
+       "      <td>48713</td>\n",
+       "      <td>50090</td>\n",
+       "      <td>55009</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-03-29</th>\n",
+       "      <td>France</td>\n",
+       "      <td>52790.0</td>\n",
+       "      <td>57263.0</td>\n",
+       "      <td>46010</td>\n",
+       "      <td>50376</td>\n",
+       "      <td>51727</td>\n",
+       "      <td>56836</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-03-30</th>\n",
+       "      <td>France</td>\n",
+       "      <td>55268.0</td>\n",
+       "      <td>59933.0</td>\n",
+       "      <td>47485</td>\n",
+       "      <td>52013</td>\n",
+       "      <td>53364</td>\n",
+       "      <td>58641</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-02</th>\n",
+       "      <td>France</td>\n",
+       "      <td>120794.0</td>\n",
+       "      <td>130783.0</td>\n",
+       "      <td>96946</td>\n",
+       "      <td>106086</td>\n",
+       "      <td>103680</td>\n",
+       "      <td>113907</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-03</th>\n",
+       "      <td>France</td>\n",
+       "      <td>122155.0</td>\n",
+       "      <td>132190.0</td>\n",
+       "      <td>98387</td>\n",
+       "      <td>107678</td>\n",
+       "      <td>105018</td>\n",
+       "      <td>115377</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-04</th>\n",
+       "      <td>France</td>\n",
+       "      <td>123581.0</td>\n",
+       "      <td>133678.0</td>\n",
+       "      <td>99839</td>\n",
+       "      <td>109265</td>\n",
+       "      <td>106529</td>\n",
+       "      <td>117018</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-05</th>\n",
+       "      <td>France</td>\n",
+       "      <td>124956.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>101228</td>\n",
+       "      <td>110774</td>\n",
+       "      <td>107994</td>\n",
+       "      <td>118621</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-06</th>\n",
+       "      <td>France</td>\n",
+       "      <td>126284.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>102760</td>\n",
+       "      <td>112457</td>\n",
+       "      <td>109425</td>\n",
+       "      <td>120200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-07</th>\n",
+       "      <td>France</td>\n",
+       "      <td>127529.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>104247</td>\n",
+       "      <td>114095</td>\n",
+       "      <td>110894</td>\n",
+       "      <td>121789</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-08</th>\n",
+       "      <td>France</td>\n",
+       "      <td>128694.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>105725</td>\n",
+       "      <td>115692</td>\n",
+       "      <td>112306</td>\n",
+       "      <td>123341</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-09</th>\n",
+       "      <td>France</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>107189</td>\n",
+       "      <td>117285</td>\n",
+       "      <td>113723</td>\n",
+       "      <td>124871</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-10</th>\n",
+       "      <td>France</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>108697</td>\n",
+       "      <td>118953</td>\n",
+       "      <td>115044</td>\n",
+       "      <td>126306</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-11</th>\n",
+       "      <td>France</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>110081</td>\n",
+       "      <td>120476</td>\n",
+       "      <td>116489</td>\n",
+       "      <td>127877</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-12</th>\n",
+       "      <td>France</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>111530</td>\n",
+       "      <td>122044</td>\n",
+       "      <td>117858</td>\n",
+       "      <td>129389</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-13</th>\n",
+       "      <td>France</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>112947</td>\n",
+       "      <td>123581</td>\n",
+       "      <td>119141</td>\n",
+       "      <td>130783</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-14</th>\n",
+       "      <td>France</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>114413</td>\n",
+       "      <td>125187</td>\n",
+       "      <td>120483</td>\n",
+       "      <td>132258</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-15</th>\n",
+       "      <td>France</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>115893</td>\n",
+       "      <td>126805</td>\n",
+       "      <td>121839</td>\n",
+       "      <td>133745</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-16</th>\n",
+       "      <td>France</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>117350</td>\n",
+       "      <td>128418</td>\n",
+       "      <td>123248</td>\n",
+       "      <td>135285</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-17</th>\n",
+       "      <td>France</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>118840</td>\n",
+       "      <td>130046</td>\n",
+       "      <td>124681</td>\n",
+       "      <td>136836</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-18</th>\n",
+       "      <td>France</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>120350</td>\n",
+       "      <td>131677</td>\n",
+       "      <td>126118</td>\n",
+       "      <td>138411</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-19</th>\n",
+       "      <td>France</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>121778</td>\n",
+       "      <td>133247</td>\n",
+       "      <td>127492</td>\n",
+       "      <td>139930</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-20</th>\n",
+       "      <td>France</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>123275</td>\n",
+       "      <td>134892</td>\n",
+       "      <td>128880</td>\n",
+       "      <td>141463</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-21</th>\n",
+       "      <td>France</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>124722</td>\n",
+       "      <td>136475</td>\n",
+       "      <td>130294</td>\n",
+       "      <td>143016</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-22</th>\n",
+       "      <td>France</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>126155</td>\n",
+       "      <td>138031</td>\n",
+       "      <td>131689</td>\n",
+       "      <td>144555</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-23</th>\n",
+       "      <td>France</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>127666</td>\n",
+       "      <td>139689</td>\n",
+       "      <td>133175</td>\n",
+       "      <td>146163</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-24</th>\n",
+       "      <td>France</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>129195</td>\n",
+       "      <td>141337</td>\n",
+       "      <td>134646</td>\n",
+       "      <td>147752</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-25</th>\n",
+       "      <td>France</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>130585</td>\n",
+       "      <td>142844</td>\n",
+       "      <td>136063</td>\n",
+       "      <td>149316</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-26</th>\n",
+       "      <td>France</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>131921</td>\n",
+       "      <td>144307</td>\n",
+       "      <td>137515</td>\n",
+       "      <td>150918</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-27</th>\n",
+       "      <td>France</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>133331</td>\n",
+       "      <td>145851</td>\n",
+       "      <td>138955</td>\n",
+       "      <td>152488</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-28</th>\n",
+       "      <td>France</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>134754</td>\n",
+       "      <td>147385</td>\n",
+       "      <td>140414</td>\n",
+       "      <td>154090</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-29</th>\n",
+       "      <td>France</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>136128</td>\n",
+       "      <td>148877</td>\n",
+       "      <td>141859</td>\n",
+       "      <td>155663</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-30</th>\n",
+       "      <td>France</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>137459</td>\n",
+       "      <td>150329</td>\n",
+       "      <td>143276</td>\n",
+       "      <td>157215</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-05-31</th>\n",
+       "      <td>France</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>138883</td>\n",
+       "      <td>151885</td>\n",
+       "      <td>144638</td>\n",
+       "      <td>158700</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>92 rows × 7 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  Zone  Communes_a_envoi_dematerialise_Deces2020  \\\n",
+       "Date_evenement                                                     \n",
+       "2020-03-01      France                                    1625.0   \n",
+       "2020-03-02      France                                    3263.0   \n",
+       "2020-03-03      France                                    4891.0   \n",
+       "2020-03-04      France                                    6571.0   \n",
+       "2020-03-05      France                                    8197.0   \n",
+       "2020-03-06      France                                    9896.0   \n",
+       "2020-03-07      France                                   11435.0   \n",
+       "2020-03-08      France                                   13005.0   \n",
+       "2020-03-09      France                                   14674.0   \n",
+       "2020-03-10      France                                   16328.0   \n",
+       "2020-03-11      France                                   18079.0   \n",
+       "2020-03-12      France                                   19721.0   \n",
+       "2020-03-13      France                                   21366.0   \n",
+       "2020-03-14      France                                   22998.0   \n",
+       "2020-03-15      France                                   24680.0   \n",
+       "2020-03-16      France                                   26494.0   \n",
+       "2020-03-17      France                                   28380.0   \n",
+       "2020-03-18      France                                   30216.0   \n",
+       "2020-03-19      France                                   32163.0   \n",
+       "2020-03-20      France                                   34051.0   \n",
+       "2020-03-21      France                                   35845.0   \n",
+       "2020-03-22      France                                   37689.0   \n",
+       "2020-03-23      France                                   39673.0   \n",
+       "2020-03-24      France                                   41700.0   \n",
+       "2020-03-25      France                                   43845.0   \n",
+       "2020-03-26      France                                   46063.0   \n",
+       "2020-03-27      France                                   48294.0   \n",
+       "2020-03-28      France                                   50599.0   \n",
+       "2020-03-29      France                                   52790.0   \n",
+       "2020-03-30      France                                   55268.0   \n",
+       "...                ...                                       ...   \n",
+       "2020-05-02      France                                  120794.0   \n",
+       "2020-05-03      France                                  122155.0   \n",
+       "2020-05-04      France                                  123581.0   \n",
+       "2020-05-05      France                                  124956.0   \n",
+       "2020-05-06      France                                  126284.0   \n",
+       "2020-05-07      France                                  127529.0   \n",
+       "2020-05-08      France                                  128694.0   \n",
+       "2020-05-09      France                                       NaN   \n",
+       "2020-05-10      France                                       NaN   \n",
+       "2020-05-11      France                                       NaN   \n",
+       "2020-05-12      France                                       NaN   \n",
+       "2020-05-13      France                                       NaN   \n",
+       "2020-05-14      France                                       NaN   \n",
+       "2020-05-15      France                                       NaN   \n",
+       "2020-05-16      France                                       NaN   \n",
+       "2020-05-17      France                                       NaN   \n",
+       "2020-05-18      France                                       NaN   \n",
+       "2020-05-19      France                                       NaN   \n",
+       "2020-05-20      France                                       NaN   \n",
+       "2020-05-21      France                                       NaN   \n",
+       "2020-05-22      France                                       NaN   \n",
+       "2020-05-23      France                                       NaN   \n",
+       "2020-05-24      France                                       NaN   \n",
+       "2020-05-25      France                                       NaN   \n",
+       "2020-05-26      France                                       NaN   \n",
+       "2020-05-27      France                                       NaN   \n",
+       "2020-05-28      France                                       NaN   \n",
+       "2020-05-29      France                                       NaN   \n",
+       "2020-05-30      France                                       NaN   \n",
+       "2020-05-31      France                                       NaN   \n",
+       "\n",
+       "                Total_deces_2020  Communes_a_envoi_dematerialise_Deces2019  \\\n",
+       "Date_evenement                                                               \n",
+       "2020-03-01                1777.0                                      1708   \n",
+       "2020-03-02                3555.0                                      3467   \n",
+       "2020-03-03                5316.0                                      5035   \n",
+       "2020-03-04                7121.0                                      6747   \n",
+       "2020-03-05                8891.0                                      8455   \n",
+       "2020-03-06               10731.0                                     10178   \n",
+       "2020-03-07               12416.0                                     11857   \n",
+       "2020-03-08               14122.0                                     13513   \n",
+       "2020-03-09               15939.0                                     15131   \n",
+       "2020-03-10               17761.0                                     16653   \n",
+       "2020-03-11               19655.0                                     18276   \n",
+       "2020-03-12               21448.0                                     19863   \n",
+       "2020-03-13               23225.0                                     21392   \n",
+       "2020-03-14               25001.0                                     22950   \n",
+       "2020-03-15               26845.0                                     24540   \n",
+       "2020-03-16               28830.0                                     26100   \n",
+       "2020-03-17               30870.0                                     27583   \n",
+       "2020-03-18               32874.0                                     29195   \n",
+       "2020-03-19               34985.0                                     30727   \n",
+       "2020-03-20               37019.0                                     32230   \n",
+       "2020-03-21               38948.0                                     33787   \n",
+       "2020-03-22               40953.0                                     35336   \n",
+       "2020-03-23               43110.0                                     36900   \n",
+       "2020-03-24               45270.0                                     38403   \n",
+       "2020-03-25               47593.0                                     39927   \n",
+       "2020-03-26               49967.0                                     41419   \n",
+       "2020-03-27               52378.0                                     42964   \n",
+       "2020-03-28               54891.0                                     44512   \n",
+       "2020-03-29               57263.0                                     46010   \n",
+       "2020-03-30               59933.0                                     47485   \n",
+       "...                          ...                                       ...   \n",
+       "2020-05-02              130783.0                                     96946   \n",
+       "2020-05-03              132190.0                                     98387   \n",
+       "2020-05-04              133678.0                                     99839   \n",
+       "2020-05-05                   NaN                                    101228   \n",
+       "2020-05-06                   NaN                                    102760   \n",
+       "2020-05-07                   NaN                                    104247   \n",
+       "2020-05-08                   NaN                                    105725   \n",
+       "2020-05-09                   NaN                                    107189   \n",
+       "2020-05-10                   NaN                                    108697   \n",
+       "2020-05-11                   NaN                                    110081   \n",
+       "2020-05-12                   NaN                                    111530   \n",
+       "2020-05-13                   NaN                                    112947   \n",
+       "2020-05-14                   NaN                                    114413   \n",
+       "2020-05-15                   NaN                                    115893   \n",
+       "2020-05-16                   NaN                                    117350   \n",
+       "2020-05-17                   NaN                                    118840   \n",
+       "2020-05-18                   NaN                                    120350   \n",
+       "2020-05-19                   NaN                                    121778   \n",
+       "2020-05-20                   NaN                                    123275   \n",
+       "2020-05-21                   NaN                                    124722   \n",
+       "2020-05-22                   NaN                                    126155   \n",
+       "2020-05-23                   NaN                                    127666   \n",
+       "2020-05-24                   NaN                                    129195   \n",
+       "2020-05-25                   NaN                                    130585   \n",
+       "2020-05-26                   NaN                                    131921   \n",
+       "2020-05-27                   NaN                                    133331   \n",
+       "2020-05-28                   NaN                                    134754   \n",
+       "2020-05-29                   NaN                                    136128   \n",
+       "2020-05-30                   NaN                                    137459   \n",
+       "2020-05-31                   NaN                                    138883   \n",
+       "\n",
+       "                Total_deces_2019  Communes_a_envoi_dematerialise_Deces2018  \\\n",
+       "Date_evenement                                                               \n",
+       "2020-03-01                  1872                                      1928   \n",
+       "2020-03-02                  3782                                      3933   \n",
+       "2020-03-03                  5530                                      5881   \n",
+       "2020-03-04                  7410                                      7768   \n",
+       "2020-03-05                  9278                                      9769   \n",
+       "2020-03-06                 11148                                     11731   \n",
+       "2020-03-07                 13007                                     13615   \n",
+       "2020-03-08                 14808                                     15542   \n",
+       "2020-03-09                 16581                                     17429   \n",
+       "2020-03-10                 18248                                     19324   \n",
+       "2020-03-11                 20014                                     21082   \n",
+       "2020-03-12                 21720                                     22937   \n",
+       "2020-03-13                 23411                                     24732   \n",
+       "2020-03-14                 25129                                     26482   \n",
+       "2020-03-15                 26875                                     28213   \n",
+       "2020-03-16                 28595                                     29960   \n",
+       "2020-03-17                 30230                                     31630   \n",
+       "2020-03-18                 31987                                     33235   \n",
+       "2020-03-19                 33671                                     34895   \n",
+       "2020-03-20                 35332                                     36528   \n",
+       "2020-03-21                 37033                                     38268   \n",
+       "2020-03-22                 38721                                     40020   \n",
+       "2020-03-23                 40419                                     41678   \n",
+       "2020-03-24                 42047                                     43386   \n",
+       "2020-03-25                 43712                                     45036   \n",
+       "2020-03-26                 45337                                     46729   \n",
+       "2020-03-27                 47023                                     48440   \n",
+       "2020-03-28                 48713                                     50090   \n",
+       "2020-03-29                 50376                                     51727   \n",
+       "2020-03-30                 52013                                     53364   \n",
+       "...                          ...                                       ...   \n",
+       "2020-05-02                106086                                    103680   \n",
+       "2020-05-03                107678                                    105018   \n",
+       "2020-05-04                109265                                    106529   \n",
+       "2020-05-05                110774                                    107994   \n",
+       "2020-05-06                112457                                    109425   \n",
+       "2020-05-07                114095                                    110894   \n",
+       "2020-05-08                115692                                    112306   \n",
+       "2020-05-09                117285                                    113723   \n",
+       "2020-05-10                118953                                    115044   \n",
+       "2020-05-11                120476                                    116489   \n",
+       "2020-05-12                122044                                    117858   \n",
+       "2020-05-13                123581                                    119141   \n",
+       "2020-05-14                125187                                    120483   \n",
+       "2020-05-15                126805                                    121839   \n",
+       "2020-05-16                128418                                    123248   \n",
+       "2020-05-17                130046                                    124681   \n",
+       "2020-05-18                131677                                    126118   \n",
+       "2020-05-19                133247                                    127492   \n",
+       "2020-05-20                134892                                    128880   \n",
+       "2020-05-21                136475                                    130294   \n",
+       "2020-05-22                138031                                    131689   \n",
+       "2020-05-23                139689                                    133175   \n",
+       "2020-05-24                141337                                    134646   \n",
+       "2020-05-25                142844                                    136063   \n",
+       "2020-05-26                144307                                    137515   \n",
+       "2020-05-27                145851                                    138955   \n",
+       "2020-05-28                147385                                    140414   \n",
+       "2020-05-29                148877                                    141859   \n",
+       "2020-05-30                150329                                    143276   \n",
+       "2020-05-31                151885                                    144638   \n",
+       "\n",
+       "                Total_deces_2018  \n",
+       "Date_evenement                    \n",
+       "2020-03-01                  2136  \n",
+       "2020-03-02                  4327  \n",
+       "2020-03-03                  6455  \n",
+       "2020-03-04                  8545  \n",
+       "2020-03-05                 10746  \n",
+       "2020-03-06                 12904  \n",
+       "2020-03-07                 14959  \n",
+       "2020-03-08                 17066  \n",
+       "2020-03-09                 19115  \n",
+       "2020-03-10                 21201  \n",
+       "2020-03-11                 23143  \n",
+       "2020-03-12                 25190  \n",
+       "2020-03-13                 27170  \n",
+       "2020-03-14                 29097  \n",
+       "2020-03-15                 30995  \n",
+       "2020-03-16                 32902  \n",
+       "2020-03-17                 34742  \n",
+       "2020-03-18                 36533  \n",
+       "2020-03-19                 38356  \n",
+       "2020-03-20                 40147  \n",
+       "2020-03-21                 42049  \n",
+       "2020-03-22                 43941  \n",
+       "2020-03-23                 45767  \n",
+       "2020-03-24                 47652  \n",
+       "2020-03-25                 49469  \n",
+       "2020-03-26                 51322  \n",
+       "2020-03-27                 53182  \n",
+       "2020-03-28                 55009  \n",
+       "2020-03-29                 56836  \n",
+       "2020-03-30                 58641  \n",
+       "...                          ...  \n",
+       "2020-05-02                113907  \n",
+       "2020-05-03                115377  \n",
+       "2020-05-04                117018  \n",
+       "2020-05-05                118621  \n",
+       "2020-05-06                120200  \n",
+       "2020-05-07                121789  \n",
+       "2020-05-08                123341  \n",
+       "2020-05-09                124871  \n",
+       "2020-05-10                126306  \n",
+       "2020-05-11                127877  \n",
+       "2020-05-12                129389  \n",
+       "2020-05-13                130783  \n",
+       "2020-05-14                132258  \n",
+       "2020-05-15                133745  \n",
+       "2020-05-16                135285  \n",
+       "2020-05-17                136836  \n",
+       "2020-05-18                138411  \n",
+       "2020-05-19                139930  \n",
+       "2020-05-20                141463  \n",
+       "2020-05-21                143016  \n",
+       "2020-05-22                144555  \n",
+       "2020-05-23                146163  \n",
+       "2020-05-24                147752  \n",
+       "2020-05-25                149316  \n",
+       "2020-05-26                150918  \n",
+       "2020-05-27                152488  \n",
+       "2020-05-28                154090  \n",
+       "2020-05-29                155663  \n",
+       "2020-05-30                157215  \n",
+       "2020-05-31                158700  \n",
+       "\n",
+       "[92 rows x 7 columns]"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "deaths_france[\"Date_evenement\"] = pd.to_datetime(deaths_france[\"Date_evenement\"], dayfirst=True)\n",
+    "deaths_france = deaths_france[deaths_france[\"Zone\"] == \"France\"]\n",
+    "deaths_france = deaths_france.set_index(\"Date_evenement\")\n",
+    "deaths_france"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1080x540 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize = (15,7.5))\n",
+    "plt.plot(deaths_france[\"Total_deces_2020\"], label=\"deaths 2020\")\n",
+    "plt.plot(deaths_france[\"Total_deces_2019\"], label=\"deaths 2019\")\n",
+    "plt.plot(deaths_france[\"Total_deces_2018\"], label=\"deaths 2018\")\n",
+    "\n",
+    "plt.plot(to_plot[\"France except Dom/Tom\"][\"deaths cases\"], label=\"corona deaths\")\n",
+    "plt.legend()\n",
+    "plt.xlim([datetime.date(2020, 2, 29), datetime.date(2020, 5, 15)])\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Those are the cumulative deathnumbers. How does the daily death numbers develop?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/conda/lib/python3.6/site-packages/pandas/core/indexing.py:194: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
+      "  self._setitem_with_indexer(indexer, value)\n"
+     ]
+    }
+   ],
+   "source": [
+    "#for simplicity we put all in one:\n",
+    "deaths_france[\"corona deaths\"] = to_plot[\"France except Dom/Tom\"][\"deaths cases\"]\n",
+    "# plt.figure(figsize = (15,7.5))\n",
+    "# plt.plot(deaths_france[\"Total_deces_2020\"], label=\"deaths 2020\")\n",
+    "# plt.plot(deaths_france[\"Total_deces_2019\"], label=\"deaths 2019\")\n",
+    "# plt.plot(deaths_france[\"Total_deces_2018\"], label=\"deaths 2018\")\n",
+    "# plt.plot(deaths_france[\"corona deaths\"], label=\"corona deaths\")\n",
+    "\n",
+    "\n",
+    "deaths_france\n",
+    "for k in [\"Total_deces_2020\", \"Total_deces_2019\", \"Total_deces_2018\", \"corona deaths\"]:\n",
+    "    col = 'daily ' + k\n",
+    "    deaths_france[col] = np.zeros(len(deaths_france))\n",
+    "    i = 0\n",
+    "    for row1, row2 in zip(deaths_france[k].iloc[:-1], deaths_france[k].iloc[1:]):\n",
+    "        #print(row1, row2)\n",
+    "        deaths_france[col].iloc[i] = row2-row1\n",
+    "        i += 1\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1080x540 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize = (15,7.5))\n",
+    "plt.plot(deaths_france[\"daily Total_deces_2020\"], label=\"daily deaths 2020\")\n",
+    "plt.plot(deaths_france[\"daily Total_deces_2019\"], label=\"daily deaths 2019\")\n",
+    "plt.plot(deaths_france[\"daily Total_deces_2018\"], label=\"daily deaths 2018\")\n",
+    "plt.plot(deaths_france[\"daily corona deaths\"], label=\"daily corona deaths\")\n",
+    "plt.legend()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We see that there are more deaths but they are not all registered as corona deaths!"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,