diff --git a/module2/exo4/electricite_conso_prod_renouvelable_france_2013_2020_042021.csv b/module2/exo4/electricite_conso_prod_renouvelable_france_2013_2020_042021.csv
new file mode 100644
index 0000000000000000000000000000000000000000..006c34db7314ebbeaf0b6f65d0c3e7425edf31eb
--- /dev/null
+++ b/module2/exo4/electricite_conso_prod_renouvelable_france_2013_2020_042021.csv
@@ -0,0 +1,2923 @@
+date,prod_totale,hydrau,solaire,eolien,bio,conso_elec,annee,mois,jour_sem
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+2013-04-15,2736.532,491.081,34.737,49.539,26.803,2401.201,2013,4,Monday
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+2018-02-08,3907.571,557.175,29.427,53.081,56.379,2299.011,2018,2,Thursday
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+2018-02-11,3665.599,361.443,27.156,333.223,51.348,2720.599,2018,2,Sunday
+2018-02-12,3919.665,483.257,56.652,147.521,51.15,2600.141,2018,2,Monday
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+2018-02-14,4013.358,489.763,30.242,212.078,55.18,3746.189,2018,2,Wednesday
+2018-02-15,3857.666,473.876,23.99,196.749,55.927,3450.655,2018,2,Thursday
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+2018-02-17,3483.462,465.211,24.915,96.82,60.458,3020.092,2018,2,Saturday
+2018-02-18,3381.516,437.674,33.778,92.622,60.544,2994.814,2018,2,Sunday
+2018-02-19,3628.058,570.82,31.327,52.668,59.106,3385.394,2018,2,Monday
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+2018-02-21,3795.45,519.873,60.782,240.61,58.018,3510.34,2018,2,Wednesday
+2018-02-22,3931.767,545.995,54.796,283.119,53.774,3691.978,2018,2,Thursday
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+2018-02-25,3649.057,399.959,67.382,357.785,56.041,3373.178,2018,2,Sunday
+2018-02-26,3963.082,538.098,75.826,387.61,52.781,3930.315,2018,2,Monday
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+2018-02-28,4072.461,590.32,29.516,352.097,47.876,4300.804,2018,2,Wednesday
+2018-03-01,4085.386,558.394,24.847,417.925,48.416,3060.541,2018,3,Thursday
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+2018-03-04,3295.164,412.731,33.907,202.711,48.71,2773.417,2018,3,Sunday
+2018-03-05,3452.292,456.158,40.865,156.437,48.69,2487.348,2018,3,Monday
+2018-03-06,3506.752,454.312,47.92,106.511,49.238,1847.46,2018,3,Tuesday
+2018-03-07,3692.103,478.781,54.547,250.371,48.51,2366.284,2018,3,Wednesday
+2018-03-08,3613.572,439.899,68.454,275.265,48.842,2288.119,2018,3,Thursday
+2018-03-09,3546.602,482.216,37.296,181.743,52.869,2188.546,2018,3,Friday
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+2018-03-11,2947.027,367.92,49.073,209.018,53.674,2683.592,2018,3,Sunday
+2018-03-12,3466.394,451.385,43.035,432.596,55.113,2823.815,2018,3,Monday
+2018-03-13,3376.37,449.114,55.792,213.79,54.822,2997.601,2018,3,Tuesday
+2018-03-14,3474.188,449.896,68.342,248.302,53.793,2996.323,2018,3,Wednesday
+2018-03-15,3338.637,470.136,43.447,223.202,52.219,2976.583,2018,3,Thursday
+2018-03-16,3201.794,473.901,54.831,79.679,52.875,2937.706,2018,3,Friday
+2018-03-17,3158.828,449.566,45.464,135.289,54.603,2868.524,2018,3,Saturday
+2018-03-18,3173.768,430.863,40.886,163.926,56.722,2963.056,2018,3,Sunday
+2018-03-19,3483.308,510.661,46.634,128.556,54.97,3474.695,2018,3,Monday
+2018-03-20,3681.786,491.518,55.966,316.066,53.796,3568.645,2018,3,Tuesday
+2018-03-21,3574.016,468.72,83.378,171.427,51.917,3520.83,2018,3,Wednesday
+2018-03-22,3503.111,463.255,73.013,175.326,49.257,3460.281,2018,3,Thursday
+2018-03-23,3477.005,451.827,51.939,156.472,48.095,3316.235,2018,3,Friday
+2018-03-24,3063.396,386.048,48.243,82.544,51.346,2894.868,2018,3,Saturday
+2018-03-25,2848.728,363.223,52.702,59.497,55.32,2676.64,2018,3,Sunday
+2018-03-26,3228.835,414.912,51.207,90.199,53.814,2979.718,2018,3,Monday
+2018-03-27,3383.837,415.253,31.629,252.91,54.391,3080.125,2018,3,Tuesday
+2018-03-28,3380.481,421.242,43.38,304.194,56.53,3011.409,2018,3,Wednesday
+2018-03-29,3241.767,455.9,63.373,161.108,57.254,3029.074,2018,3,Thursday
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+2018-03-31,2967.653,445.954,61.632,148.898,57.383,2796.401,2018,3,Saturday
+2018-04-01,2794.998,411.926,74.762,153.858,55.492,3032.121,2018,4,Sunday
+2018-04-02,2803.295,392.722,43.903,232.865,53.022,3184.497,2018,4,Monday
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+2018-04-05,3141.864,485.731,80.68,197.579,52.356,2414.219,2018,4,Thursday
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+2018-04-08,2546.351,422.85,34.161,89.769,50.79,2073.277,2018,4,Sunday
+2018-04-09,2844.536,495.75,40.575,78.986,50.012,2262.911,2018,4,Monday
+2018-04-10,2947.027,476.63,52.088,158.738,50.126,2368.305,2018,4,Tuesday
+2018-04-11,2884.781,475.711,41.001,123.298,50.224,2548.067,2018,4,Wednesday
+2018-04-12,2887.549,476.343,48.821,76.649,50.673,2874.807,2018,4,Thursday
+2018-04-13,2941.204,482.736,59.165,62.654,53.211,2610.01,2018,4,Friday
+2018-04-14,2729.642,436.774,53.02,52.874,54.232,2329.724,2018,4,Saturday
+2018-04-15,2687.976,400.54,71.916,94.06,54.416,2172.188,2018,4,Sunday
+2018-04-16,2896.032,496.858,69.211,69.64,51.965,2462.922,2018,4,Monday
+2018-04-17,2905.992,466.933,101.22,79.012,52.226,2452.462,2018,4,Tuesday
+2018-04-18,2860.515,453.002,99.402,113.692,53.469,2327.709,2018,4,Wednesday
+2018-04-19,2814.167,475.382,98.501,92.7,54.547,2271.125,2018,4,Thursday
+2018-04-20,2762.579,491.611,98.49,33.163,55.735,2267.351,2018,4,Friday
+2018-04-21,2626.16,431.548,98.442,54.664,56.897,2007.838,2018,4,Saturday
+2018-04-22,2528.791,407.747,83.788,112.91,56.193,1872.591,2018,4,Sunday
+2018-04-23,2770.051,480.944,59.542,83.198,53.957,2180.495,2018,4,Monday
+2018-04-24,2811.798,462.009,91.744,68.361,52.622,2248.795,2018,4,Tuesday
+2018-04-25,2888.998,454.659,65.153,213.704,55.119,2290.694,2018,4,Wednesday
+2018-04-26,2921.997,479.718,92.688,166.007,55.804,2331.104,2018,4,Thursday
+2018-04-27,2999.875,479.774,83.919,198.452,53.523,2333.184,2018,4,Friday
+2018-04-28,2687.591,477.709,58.766,128.076,55.609,2091.811,2018,4,Saturday
+2018-04-29,2535.312,427.504,38.512,151.123,52.782,2057.134,2018,4,Sunday
+2018-04-30,2842.069,461.29,58.848,328.262,49.569,2428.31,2018,4,Monday
+2018-05-01,2444.939,445.026,70.719,99.3,52.576,2991.298,2018,5,Tuesday
+2018-05-02,2954.158,510.128,80.0,166.224,52.067,3707.089,2018,5,Wednesday
+2018-05-03,2960.628,496.546,62.438,139.261,51.254,3226.358,2018,5,Thursday
+2018-05-04,3057.326,486.073,81.023,205.599,52.599,2812.88,2018,5,Friday
+2018-05-05,2640.747,465.017,84.977,176.777,54.152,2099.639,2018,5,Saturday
+2018-05-06,2382.752,394.903,93.562,94.061,54.838,2260.211,2018,5,Sunday
+2018-05-07,2631.259,508.352,90.019,67.85,53.628,2317.005,2018,5,Monday
+2018-05-08,2586.789,436.947,73.627,75.699,54.013,1943.574,2018,5,Tuesday
+2018-05-09,2684.592,517.139,69.147,112.279,52.797,2280.288,2018,5,Wednesday
+2018-05-10,2652.69,458.705,74.274,141.636,54.162,2331.143,2018,5,Thursday
+2018-05-11,2740.459,529.413,101.701,69.717,52.89,2747.71,2018,5,Friday
+2018-05-12,2640.881,486.817,48.883,85.422,53.186,2966.326,2018,5,Saturday
+2018-05-13,2534.514,456.895,52.727,137.945,54.032,1995.054,2018,5,Sunday
+2018-05-14,2998.402,531.916,39.288,241.772,55.563,2423.001,2018,5,Monday
+2018-05-15,3064.458,541.855,65.355,150.593,54.034,2448.259,2018,5,Tuesday
+2018-05-16,3053.142,504.932,75.513,168.113,56.46,2380.265,2018,5,Wednesday
+2018-05-17,3029.138,514.837,73.529,172.05,58.49,2356.484,2018,5,Thursday
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+2018-05-19,2743.649,484.929,98.493,97.165,60.985,2033.18,2018,5,Saturday
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+2018-05-21,2426.402,454.293,85.551,56.633,50.427,1953.821,2018,5,Monday
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+2018-05-24,2842.806,509.584,85.256,23.58,50.55,2268.98,2018,5,Thursday
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+2018-05-27,2391.415,435.591,64.58,82.729,49.864,1866.612,2018,5,Sunday
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+2018-05-30,2840.715,534.513,60.163,32.549,47.633,2272.382,2018,5,Wednesday
+2018-05-31,2825.319,521.522,65.124,38.665,47.823,2271.71,2018,5,Thursday
+2018-06-01,2825.616,557.136,82.556,40.77,48.757,2842.902,2018,6,Friday
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+2020-11-19,3063.013,277.341,41.6,343.39,48.666,2707.218,2020,11,Thursday
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+2020-12-16,3391.505,458.963,25.356,289.824,51.377,3070.073,2020,12,Wednesday
+2020-12-17,3149.226,483.834,20.757,222.906,51.686,3012.111,2020,12,Thursday
+2020-12-18,3421.303,375.032,27.443,331.483,52.64,2970.486,2020,12,Friday
+2020-12-19,3193.458,329.925,15.423,423.323,53.739,2708.185,2020,12,Saturday
+2020-12-20,3073.898,306.154,23.814,212.931,53.955,2602.909,2020,12,Sunday
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+2020-12-30,3195.184,336.056,26.195,163.771,51.349,3167.523,2020,12,Wednesday
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diff --git a/module2/exo4/logbook_exercise.ipynb b/module2/exo4/logbook_exercise.ipynb
index 8b7671b40c14bc4edafecbad5c4beb44f0b2cba9..5de1bd29a158f133c1bbb0d66e33de9f720fbad7 100644
--- a/module2/exo4/logbook_exercise.ipynb
+++ b/module2/exo4/logbook_exercise.ipynb
@@ -23,12 +23,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
     "import re\n",
-    "import unidecode\n",
     "import json\n",
     "\n",
     "import numpy as np\n",
@@ -48,7 +47,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -107,7 +106,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -118,9 +117,94 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "date          datetime64[ns]\n",
+      "heure                 object\n",
+      "conso_elec           float64\n",
+      "dtype: object\n"
+     ]
+    },
+    {
+     "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</th>\n",
+       "      <th>heure</th>\n",
+       "      <th>conso_elec</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>31626</th>\n",
+       "      <td>2021-12-02</td>\n",
+       "      <td>08:00</td>\n",
+       "      <td>5,647</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31625</th>\n",
+       "      <td>2021-12-02</td>\n",
+       "      <td>08:00</td>\n",
+       "      <td>5,641</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31624</th>\n",
+       "      <td>2021-12-02</td>\n",
+       "      <td>08:00</td>\n",
+       "      <td>13,486</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31532</th>\n",
+       "      <td>2021-12-02</td>\n",
+       "      <td>12:00</td>\n",
+       "      <td>6,090</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31818</th>\n",
+       "      <td>2021-12-02</td>\n",
+       "      <td>00:00</td>\n",
+       "      <td>12,020</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            date  heure  conso_elec\n",
+       "31626 2021-12-02  08:00       5,647\n",
+       "31625 2021-12-02  08:00       5,641\n",
+       "31624 2021-12-02  08:00      13,486\n",
+       "31532 2021-12-02  12:00       6,090\n",
+       "31818 2021-12-02  00:00      12,020"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# config & convert date to datetime\n",
     "elec_conso = conso_elec.rename(columns={'consommation_brute_electricite_rte':'conso_elec'}).dropna().copy()\n",
@@ -141,9 +225,417 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 6,
+   "metadata": {},
+   "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</th>\n",
+       "      <th>conso_elec</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2012-01-01</td>\n",
+       "      <td>2,473</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2012-01-02</td>\n",
+       "      <td>4,012</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2012-01-03</td>\n",
+       "      <td>3,012</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2012-01-04</td>\n",
+       "      <td>2,186</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2012-01-05</td>\n",
+       "      <td>2,114</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>2012-01-06</td>\n",
+       "      <td>2,287</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>2012-01-07</td>\n",
+       "      <td>1,874</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>2012-01-08</td>\n",
+       "      <td>2,192</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>2012-01-09</td>\n",
+       "      <td>1,973</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>2012-01-10</td>\n",
+       "      <td>2,375</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>2012-01-11</td>\n",
+       "      <td>2,622</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>2012-01-12</td>\n",
+       "      <td>3,279</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>2012-01-13</td>\n",
+       "      <td>3,414</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>2012-01-14</td>\n",
+       "      <td>3,254</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>2012-01-15</td>\n",
+       "      <td>3,265</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>2012-01-16</td>\n",
+       "      <td>3,668</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>2012-01-17</td>\n",
+       "      <td>3,777</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>2012-01-18</td>\n",
+       "      <td>3,771</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>2012-01-19</td>\n",
+       "      <td>3,505</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>2012-01-20</td>\n",
+       "      <td>3,346</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>2012-01-21</td>\n",
+       "      <td>2,959</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>2012-01-22</td>\n",
+       "      <td>2,765</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>2012-01-23</td>\n",
+       "      <td>3,184</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>2012-01-24</td>\n",
+       "      <td>3,309</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>2012-01-25</td>\n",
+       "      <td>3,275</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>2012-01-26</td>\n",
+       "      <td>3,285</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>2012-01-27</td>\n",
+       "      <td>3,321</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>2012-01-28</td>\n",
+       "      <td>3,129</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>2012-01-29</td>\n",
+       "      <td>3,151</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>2012-01-30</td>\n",
+       "      <td>3,700</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3317</th>\n",
+       "      <td>2021-02-19</td>\n",
+       "      <td>2,977</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3318</th>\n",
+       "      <td>2021-02-20</td>\n",
+       "      <td>2,584</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3319</th>\n",
+       "      <td>2021-02-21</td>\n",
+       "      <td>2,449</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3320</th>\n",
+       "      <td>2021-02-22</td>\n",
+       "      <td>2,767</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3321</th>\n",
+       "      <td>2021-02-23</td>\n",
+       "      <td>2,693</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3322</th>\n",
+       "      <td>2021-02-24</td>\n",
+       "      <td>2,627</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3323</th>\n",
+       "      <td>2021-02-25</td>\n",
+       "      <td>2,654</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3324</th>\n",
+       "      <td>2021-02-26</td>\n",
+       "      <td>2,718</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3325</th>\n",
+       "      <td>2021-02-27</td>\n",
+       "      <td>2,625</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3326</th>\n",
+       "      <td>2021-02-28</td>\n",
+       "      <td>2,571</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3327</th>\n",
+       "      <td>2021-03-01</td>\n",
+       "      <td>3,237</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3328</th>\n",
+       "      <td>2021-03-02</td>\n",
+       "      <td>2,938</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3329</th>\n",
+       "      <td>2021-04-01</td>\n",
+       "      <td>3,654</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3330</th>\n",
+       "      <td>2021-04-02</td>\n",
+       "      <td>3,009</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3331</th>\n",
+       "      <td>2021-05-01</td>\n",
+       "      <td>3,772</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3332</th>\n",
+       "      <td>2021-05-02</td>\n",
+       "      <td>2,937</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3333</th>\n",
+       "      <td>2021-06-01</td>\n",
+       "      <td>3,778</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3334</th>\n",
+       "      <td>2021-06-02</td>\n",
+       "      <td>2,740</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3335</th>\n",
+       "      <td>2021-07-01</td>\n",
+       "      <td>3,821</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3336</th>\n",
+       "      <td>2021-07-02</td>\n",
+       "      <td>2,829</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3337</th>\n",
+       "      <td>2021-08-01</td>\n",
+       "      <td>3,824</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3338</th>\n",
+       "      <td>2021-08-02</td>\n",
+       "      <td>3,403</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3339</th>\n",
+       "      <td>2021-09-01</td>\n",
+       "      <td>3,614</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3340</th>\n",
+       "      <td>2021-09-02</td>\n",
+       "      <td>3,589</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3341</th>\n",
+       "      <td>2021-10-01</td>\n",
+       "      <td>3,509</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3342</th>\n",
+       "      <td>2021-10-02</td>\n",
+       "      <td>3,639</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3343</th>\n",
+       "      <td>2021-11-01</td>\n",
+       "      <td>3,863</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3344</th>\n",
+       "      <td>2021-11-02</td>\n",
+       "      <td>3,764</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3345</th>\n",
+       "      <td>2021-12-01</td>\n",
+       "      <td>3,711</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3346</th>\n",
+       "      <td>2021-12-02</td>\n",
+       "      <td>3,787</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>3347 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           date  conso_elec\n",
+       "0    2012-01-01       2,473\n",
+       "1    2012-01-02       4,012\n",
+       "2    2012-01-03       3,012\n",
+       "3    2012-01-04       2,186\n",
+       "4    2012-01-05       2,114\n",
+       "5    2012-01-06       2,287\n",
+       "6    2012-01-07       1,874\n",
+       "7    2012-01-08       2,192\n",
+       "8    2012-01-09       1,973\n",
+       "9    2012-01-10       2,375\n",
+       "10   2012-01-11       2,622\n",
+       "11   2012-01-12       3,279\n",
+       "12   2012-01-13       3,414\n",
+       "13   2012-01-14       3,254\n",
+       "14   2012-01-15       3,265\n",
+       "15   2012-01-16       3,668\n",
+       "16   2012-01-17       3,777\n",
+       "17   2012-01-18       3,771\n",
+       "18   2012-01-19       3,505\n",
+       "19   2012-01-20       3,346\n",
+       "20   2012-01-21       2,959\n",
+       "21   2012-01-22       2,765\n",
+       "22   2012-01-23       3,184\n",
+       "23   2012-01-24       3,309\n",
+       "24   2012-01-25       3,275\n",
+       "25   2012-01-26       3,285\n",
+       "26   2012-01-27       3,321\n",
+       "27   2012-01-28       3,129\n",
+       "28   2012-01-29       3,151\n",
+       "29   2012-01-30       3,700\n",
+       "...         ...         ...\n",
+       "3317 2021-02-19       2,977\n",
+       "3318 2021-02-20       2,584\n",
+       "3319 2021-02-21       2,449\n",
+       "3320 2021-02-22       2,767\n",
+       "3321 2021-02-23       2,693\n",
+       "3322 2021-02-24       2,627\n",
+       "3323 2021-02-25       2,654\n",
+       "3324 2021-02-26       2,718\n",
+       "3325 2021-02-27       2,625\n",
+       "3326 2021-02-28       2,571\n",
+       "3327 2021-03-01       3,237\n",
+       "3328 2021-03-02       2,938\n",
+       "3329 2021-04-01       3,654\n",
+       "3330 2021-04-02       3,009\n",
+       "3331 2021-05-01       3,772\n",
+       "3332 2021-05-02       2,937\n",
+       "3333 2021-06-01       3,778\n",
+       "3334 2021-06-02       2,740\n",
+       "3335 2021-07-01       3,821\n",
+       "3336 2021-07-02       2,829\n",
+       "3337 2021-08-01       3,824\n",
+       "3338 2021-08-02       3,403\n",
+       "3339 2021-09-01       3,614\n",
+       "3340 2021-09-02       3,589\n",
+       "3341 2021-10-01       3,509\n",
+       "3342 2021-10-02       3,639\n",
+       "3343 2021-11-01       3,863\n",
+       "3344 2021-11-02       3,764\n",
+       "3345 2021-12-01       3,711\n",
+       "3346 2021-12-02       3,787\n",
+       "\n",
+       "[3347 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "#daily consumption & convert to GW\n",
     "elec_conso_ = elec_conso.groupby('date')['conso_elec'].sum().reset_index()\n",
@@ -157,7 +649,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**NB:** On peut s'étonner de retrouver des consommations électriques futuristes"
+    "**NB:** On peut s'étonner de retrouver des consommations électriques futuristes !!"
    ]
   },
   {
@@ -169,7 +661,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -180,9 +672,122 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "date           datetime64[ns]\n",
+      "heure                  object\n",
+      "prod_totale             int64\n",
+      "hydrau                  int64\n",
+      "solaire                 int64\n",
+      "eolien                  int64\n",
+      "bio                     int64\n",
+      "dtype: object\n"
+     ]
+    },
+    {
+     "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</th>\n",
+       "      <th>heure</th>\n",
+       "      <th>prod_totale</th>\n",
+       "      <th>hydrau</th>\n",
+       "      <th>solaire</th>\n",
+       "      <th>eolien</th>\n",
+       "      <th>bio</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>65163</th>\n",
+       "      <td>2021-02-28</td>\n",
+       "      <td>23:00</td>\n",
+       "      <td>61588</td>\n",
+       "      <td>10180</td>\n",
+       "      <td>1</td>\n",
+       "      <td>6252</td>\n",
+       "      <td>1171</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>104255</th>\n",
+       "      <td>2021-02-28</td>\n",
+       "      <td>00:00</td>\n",
+       "      <td>62371</td>\n",
+       "      <td>7763</td>\n",
+       "      <td>2</td>\n",
+       "      <td>7973</td>\n",
+       "      <td>1190</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>104256</th>\n",
+       "      <td>2021-02-28</td>\n",
+       "      <td>01:00</td>\n",
+       "      <td>60730</td>\n",
+       "      <td>8398</td>\n",
+       "      <td>1</td>\n",
+       "      <td>7782</td>\n",
+       "      <td>1190</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>78653</th>\n",
+       "      <td>2021-02-28</td>\n",
+       "      <td>13:00</td>\n",
+       "      <td>59903</td>\n",
+       "      <td>5641</td>\n",
+       "      <td>6283</td>\n",
+       "      <td>5105</td>\n",
+       "      <td>1192</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35779</th>\n",
+       "      <td>2021-02-28</td>\n",
+       "      <td>22:00</td>\n",
+       "      <td>60979</td>\n",
+       "      <td>9767</td>\n",
+       "      <td>1</td>\n",
+       "      <td>6546</td>\n",
+       "      <td>1171</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             date  heure  prod_totale  hydrau  solaire  eolien   bio\n",
+       "65163  2021-02-28  23:00        61588   10180        1    6252  1171\n",
+       "104255 2021-02-28  00:00        62371    7763        2    7973  1190\n",
+       "104256 2021-02-28  01:00        60730    8398        1    7782  1190\n",
+       "78653  2021-02-28  13:00        59903    5641     6283    5105  1192\n",
+       "35779  2021-02-28  22:00        60979    9767        1    6546  1171"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# config & convert date to datetime\n",
     "cols_prod = ['date', 'heure', 'prod_totale', 'hydrau', 'solaire', 'eolien', 'bio']\n",
@@ -208,16 +813,117 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(2981, 6)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
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+       "\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</th>\n",
+       "      <th>prod_totale</th>\n",
+       "      <th>hydrau</th>\n",
+       "      <th>solaire</th>\n",
+       "      <th>eolien</th>\n",
+       "      <th>bio</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2013-01-01</td>\n",
+       "      <td>3,046</td>\n",
+       "      <td>328</td>\n",
+       "      <td>6</td>\n",
+       "      <td>126</td>\n",
+       "      <td>35</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2013-01-02</td>\n",
+       "      <td>3,440</td>\n",
+       "      <td>422</td>\n",
+       "      <td>13</td>\n",
+       "      <td>68</td>\n",
+       "      <td>34</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2013-01-03</td>\n",
+       "      <td>3,502</td>\n",
+       "      <td>439</td>\n",
+       "      <td>10</td>\n",
+       "      <td>78</td>\n",
+       "      <td>35</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2013-01-04</td>\n",
+       "      <td>3,448</td>\n",
+       "      <td>415</td>\n",
+       "      <td>7</td>\n",
+       "      <td>49</td>\n",
+       "      <td>36</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2013-01-05</td>\n",
+       "      <td>3,297</td>\n",
+       "      <td>386</td>\n",
+       "      <td>7</td>\n",
+       "      <td>44</td>\n",
+       "      <td>37</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        date  prod_totale  hydrau  solaire  eolien  bio\n",
+       "0 2013-01-01        3,046     328        6     126   35\n",
+       "1 2013-01-02        3,440     422       13      68   34\n",
+       "2 2013-01-03        3,502     439       10      78   35\n",
+       "3 2013-01-04        3,448     415        7      49   36\n",
+       "4 2013-01-05        3,297     386        7      44   37"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "#daily prod & convert to GW:\n",
     "elec_prod_ = elec_prod.groupby('date')[['prod_totale', 'hydrau', 'solaire', 'eolien', 'bio']].sum().reset_index()\n",
     "\n",
     "elec_prod_[['prod_totale', 'hydrau', 'solaire', 'eolien', 'bio']] = elec_prod_[['prod_totale', 'hydrau', 'solaire', 'eolien', 'bio']].apply(lambda x: x/10**3)\n",
     "\n",
-    "elec_prod_"
+    "print(elec_prod_.shape)\n",
+    "elec_prod_.head()"
    ]
   },
   {
@@ -229,13 +935,153 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(2981, 7)\n"
+     ]
+    },
+    {
+     "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</th>\n",
+       "      <th>prod_totale</th>\n",
+       "      <th>hydrau</th>\n",
+       "      <th>solaire</th>\n",
+       "      <th>eolien</th>\n",
+       "      <th>bio</th>\n",
+       "      <th>conso_elec</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>560</th>\n",
+       "      <td>2014-07-15</td>\n",
+       "      <td>2,859</td>\n",
+       "      <td>457</td>\n",
+       "      <td>56</td>\n",
+       "      <td>21</td>\n",
+       "      <td>38</td>\n",
+       "      <td>2,244</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>561</th>\n",
+       "      <td>2014-07-16</td>\n",
+       "      <td>2,878</td>\n",
+       "      <td>450</td>\n",
+       "      <td>59</td>\n",
+       "      <td>14</td>\n",
+       "      <td>38</td>\n",
+       "      <td>2,326</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>562</th>\n",
+       "      <td>2014-07-17</td>\n",
+       "      <td>2,935</td>\n",
+       "      <td>453</td>\n",
+       "      <td>60</td>\n",
+       "      <td>43</td>\n",
+       "      <td>37</td>\n",
+       "      <td>2,368</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>563</th>\n",
+       "      <td>2014-07-18</td>\n",
+       "      <td>2,916</td>\n",
+       "      <td>429</td>\n",
+       "      <td>51</td>\n",
+       "      <td>66</td>\n",
+       "      <td>39</td>\n",
+       "      <td>2,359</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>564</th>\n",
+       "      <td>2014-07-19</td>\n",
+       "      <td>2,677</td>\n",
+       "      <td>365</td>\n",
+       "      <td>40</td>\n",
+       "      <td>90</td>\n",
+       "      <td>40</td>\n",
+       "      <td>2,057</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>565</th>\n",
+       "      <td>2014-07-20</td>\n",
+       "      <td>2,518</td>\n",
+       "      <td>324</td>\n",
+       "      <td>30</td>\n",
+       "      <td>48</td>\n",
+       "      <td>39</td>\n",
+       "      <td>1,865</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>566</th>\n",
+       "      <td>2014-07-21</td>\n",
+       "      <td>2,807</td>\n",
+       "      <td>416</td>\n",
+       "      <td>41</td>\n",
+       "      <td>90</td>\n",
+       "      <td>38</td>\n",
+       "      <td>2,206</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>567</th>\n",
+       "      <td>2014-07-22</td>\n",
+       "      <td>2,873</td>\n",
+       "      <td>423</td>\n",
+       "      <td>43</td>\n",
+       "      <td>92</td>\n",
+       "      <td>38</td>\n",
+       "      <td>2,290</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          date  prod_totale  hydrau  solaire  eolien  bio  conso_elec\n",
+       "560 2014-07-15        2,859     457       56      21   38       2,244\n",
+       "561 2014-07-16        2,878     450       59      14   38       2,326\n",
+       "562 2014-07-17        2,935     453       60      43   37       2,368\n",
+       "563 2014-07-18        2,916     429       51      66   39       2,359\n",
+       "564 2014-07-19        2,677     365       40      90   40       2,057\n",
+       "565 2014-07-20        2,518     324       30      48   39       1,865\n",
+       "566 2014-07-21        2,807     416       41      90   38       2,206\n",
+       "567 2014-07-22        2,873     423       43      92   38       2,290"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "elec_df = pd.merge(elec_prod_, elec_conso_, on='date', how='left')\n",
     "\n",
-    "elec_df"
+    "print(elec_df.shape)\n",
+    "elec_df[560:568]"
    ]
   },
   {
@@ -247,9 +1093,287 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "date            0\n",
+      "prod_totale     0\n",
+      "hydrau          0\n",
+      "solaire         0\n",
+      "eolien          0\n",
+      "bio             0\n",
+      "conso_elec     20\n",
+      "dtype: int64\n"
+     ]
+    },
+    {
+     "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</th>\n",
+       "      <th>prod_totale</th>\n",
+       "      <th>hydrau</th>\n",
+       "      <th>solaire</th>\n",
+       "      <th>eolien</th>\n",
+       "      <th>bio</th>\n",
+       "      <th>conso_elec</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2924</th>\n",
+       "      <td>2021-01-03</td>\n",
+       "      <td>3,161</td>\n",
+       "      <td>289</td>\n",
+       "      <td>23</td>\n",
+       "      <td>113</td>\n",
+       "      <td>53</td>\n",
+       "      <td>nan</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2925</th>\n",
+       "      <td>2021-01-04</td>\n",
+       "      <td>3,478</td>\n",
+       "      <td>414</td>\n",
+       "      <td>17</td>\n",
+       "      <td>126</td>\n",
+       "      <td>53</td>\n",
+       "      <td>nan</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2926</th>\n",
+       "      <td>2021-01-05</td>\n",
+       "      <td>3,609</td>\n",
+       "      <td>512</td>\n",
+       "      <td>13</td>\n",
+       "      <td>121</td>\n",
+       "      <td>54</td>\n",
+       "      <td>nan</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2927</th>\n",
+       "      <td>2021-01-06</td>\n",
+       "      <td>3,613</td>\n",
+       "      <td>501</td>\n",
+       "      <td>21</td>\n",
+       "      <td>78</td>\n",
+       "      <td>54</td>\n",
+       "      <td>nan</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2928</th>\n",
+       "      <td>2021-01-07</td>\n",
+       "      <td>3,699</td>\n",
+       "      <td>534</td>\n",
+       "      <td>31</td>\n",
+       "      <td>74</td>\n",
+       "      <td>54</td>\n",
+       "      <td>nan</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2929</th>\n",
+       "      <td>2021-01-08</td>\n",
+       "      <td>3,761</td>\n",
+       "      <td>563</td>\n",
+       "      <td>39</td>\n",
+       "      <td>81</td>\n",
+       "      <td>54</td>\n",
+       "      <td>nan</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2930</th>\n",
+       "      <td>2021-01-09</td>\n",
+       "      <td>3,634</td>\n",
+       "      <td>386</td>\n",
+       "      <td>28</td>\n",
+       "      <td>207</td>\n",
+       "      <td>54</td>\n",
+       "      <td>nan</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2931</th>\n",
+       "      <td>2021-01-10</td>\n",
+       "      <td>3,514</td>\n",
+       "      <td>295</td>\n",
+       "      <td>37</td>\n",
+       "      <td>201</td>\n",
+       "      <td>54</td>\n",
+       "      <td>nan</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2932</th>\n",
+       "      <td>2021-01-11</td>\n",
+       "      <td>3,796</td>\n",
+       "      <td>499</td>\n",
+       "      <td>39</td>\n",
+       "      <td>209</td>\n",
+       "      <td>53</td>\n",
+       "      <td>nan</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2933</th>\n",
+       "      <td>2021-01-12</td>\n",
+       "      <td>3,924</td>\n",
+       "      <td>466</td>\n",
+       "      <td>18</td>\n",
+       "      <td>439</td>\n",
+       "      <td>53</td>\n",
+       "      <td>nan</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2955</th>\n",
+       "      <td>2021-02-03</td>\n",
+       "      <td>3,500</td>\n",
+       "      <td>460</td>\n",
+       "      <td>32</td>\n",
+       "      <td>476</td>\n",
+       "      <td>52</td>\n",
+       "      <td>nan</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2956</th>\n",
+       "      <td>2021-02-04</td>\n",
+       "      <td>3,419</td>\n",
+       "      <td>526</td>\n",
+       "      <td>27</td>\n",
+       "      <td>148</td>\n",
+       "      <td>53</td>\n",
+       "      <td>nan</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2957</th>\n",
+       "      <td>2021-02-05</td>\n",
+       "      <td>3,382</td>\n",
+       "      <td>510</td>\n",
+       "      <td>29</td>\n",
+       "      <td>95</td>\n",
+       "      <td>55</td>\n",
+       "      <td>nan</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2958</th>\n",
+       "      <td>2021-02-06</td>\n",
+       "      <td>3,141</td>\n",
+       "      <td>509</td>\n",
+       "      <td>14</td>\n",
+       "      <td>150</td>\n",
+       "      <td>55</td>\n",
+       "      <td>nan</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2959</th>\n",
+       "      <td>2021-02-07</td>\n",
+       "      <td>3,094</td>\n",
+       "      <td>475</td>\n",
+       "      <td>32</td>\n",
+       "      <td>195</td>\n",
+       "      <td>55</td>\n",
+       "      <td>nan</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2960</th>\n",
+       "      <td>2021-02-08</td>\n",
+       "      <td>3,366</td>\n",
+       "      <td>595</td>\n",
+       "      <td>27</td>\n",
+       "      <td>65</td>\n",
+       "      <td>52</td>\n",
+       "      <td>nan</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2961</th>\n",
+       "      <td>2021-02-09</td>\n",
+       "      <td>3,635</td>\n",
+       "      <td>631</td>\n",
+       "      <td>26</td>\n",
+       "      <td>173</td>\n",
+       "      <td>50</td>\n",
+       "      <td>nan</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2962</th>\n",
+       "      <td>2021-02-10</td>\n",
+       "      <td>3,725</td>\n",
+       "      <td>610</td>\n",
+       "      <td>41</td>\n",
+       "      <td>300</td>\n",
+       "      <td>51</td>\n",
+       "      <td>nan</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2963</th>\n",
+       "      <td>2021-02-11</td>\n",
+       "      <td>3,799</td>\n",
+       "      <td>638</td>\n",
+       "      <td>50</td>\n",
+       "      <td>281</td>\n",
+       "      <td>52</td>\n",
+       "      <td>nan</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2964</th>\n",
+       "      <td>2021-02-12</td>\n",
+       "      <td>3,786</td>\n",
+       "      <td>598</td>\n",
+       "      <td>20</td>\n",
+       "      <td>398</td>\n",
+       "      <td>53</td>\n",
+       "      <td>nan</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           date  prod_totale  hydrau  solaire  eolien  bio  conso_elec\n",
+       "2924 2021-01-03        3,161     289       23     113   53         nan\n",
+       "2925 2021-01-04        3,478     414       17     126   53         nan\n",
+       "2926 2021-01-05        3,609     512       13     121   54         nan\n",
+       "2927 2021-01-06        3,613     501       21      78   54         nan\n",
+       "2928 2021-01-07        3,699     534       31      74   54         nan\n",
+       "2929 2021-01-08        3,761     563       39      81   54         nan\n",
+       "2930 2021-01-09        3,634     386       28     207   54         nan\n",
+       "2931 2021-01-10        3,514     295       37     201   54         nan\n",
+       "2932 2021-01-11        3,796     499       39     209   53         nan\n",
+       "2933 2021-01-12        3,924     466       18     439   53         nan\n",
+       "2955 2021-02-03        3,500     460       32     476   52         nan\n",
+       "2956 2021-02-04        3,419     526       27     148   53         nan\n",
+       "2957 2021-02-05        3,382     510       29      95   55         nan\n",
+       "2958 2021-02-06        3,141     509       14     150   55         nan\n",
+       "2959 2021-02-07        3,094     475       32     195   55         nan\n",
+       "2960 2021-02-08        3,366     595       27      65   52         nan\n",
+       "2961 2021-02-09        3,635     631       26     173   50         nan\n",
+       "2962 2021-02-10        3,725     610       41     300   51         nan\n",
+       "2963 2021-02-11        3,799     638       50     281   52         nan\n",
+       "2964 2021-02-12        3,786     598       20     398   53         nan"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "print(pd.isnull(elec_df).sum())\n",
     "\n",
@@ -265,35 +1389,290 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2922\n"
+     ]
+    },
+    {
+     "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>prod_totale</th>\n",
+       "      <th>hydrau</th>\n",
+       "      <th>solaire</th>\n",
+       "      <th>eolien</th>\n",
+       "      <th>bio</th>\n",
+       "      <th>conso_elec</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>date</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>2020-12-27</th>\n",
+       "      <td>3,123</td>\n",
+       "      <td>295</td>\n",
+       "      <td>11</td>\n",
+       "      <td>518</td>\n",
+       "      <td>53</td>\n",
+       "      <td>2,983</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-12-28</th>\n",
+       "      <td>3,325</td>\n",
+       "      <td>430</td>\n",
+       "      <td>18</td>\n",
+       "      <td>367</td>\n",
+       "      <td>51</td>\n",
+       "      <td>3,093</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-12-29</th>\n",
+       "      <td>3,273</td>\n",
+       "      <td>384</td>\n",
+       "      <td>22</td>\n",
+       "      <td>206</td>\n",
+       "      <td>51</td>\n",
+       "      <td>3,130</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-12-30</th>\n",
+       "      <td>3,195</td>\n",
+       "      <td>336</td>\n",
+       "      <td>26</td>\n",
+       "      <td>164</td>\n",
+       "      <td>51</td>\n",
+       "      <td>3,168</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-12-31</th>\n",
+       "      <td>3,183</td>\n",
+       "      <td>323</td>\n",
+       "      <td>18</td>\n",
+       "      <td>168</td>\n",
+       "      <td>52</td>\n",
+       "      <td>3,128</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            prod_totale  hydrau  solaire  eolien  bio  conso_elec\n",
+       "date                                                             \n",
+       "2020-12-27        3,123     295       11     518   53       2,983\n",
+       "2020-12-28        3,325     430       18     367   51       3,093\n",
+       "2020-12-29        3,273     384       22     206   51       3,130\n",
+       "2020-12-30        3,195     336       26     164   51       3,168\n",
+       "2020-12-31        3,183     323       18     168   52       3,128"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "elec_df = elec_df.set_index('date').loc['2012-01-01':'2020-12-31']\n",
     "\n",
-    "elec_df"
+    "print(elec_df.shape[0])\n",
+    "elec_df.tail()"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [],
    "source": [
     "On crée les colonnes \"année\", \"mois\", \"jour_semaine\" pour chaque date"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 18,
+   "metadata": {},
+   "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>prod_totale</th>\n",
+       "      <th>hydrau</th>\n",
+       "      <th>solaire</th>\n",
+       "      <th>eolien</th>\n",
+       "      <th>bio</th>\n",
+       "      <th>conso_elec</th>\n",
+       "      <th>annee</th>\n",
+       "      <th>mois</th>\n",
+       "      <th>jour_sem</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>date</th>\n",
+       "      <th></th>\n",
+       "      <th></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>2015-02-08</th>\n",
+       "      <td>3,622</td>\n",
+       "      <td>384</td>\n",
+       "      <td>27</td>\n",
+       "      <td>190</td>\n",
+       "      <td>45</td>\n",
+       "      <td>1,797</td>\n",
+       "      <td>2015</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Sunday</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-02-09</th>\n",
+       "      <td>3,773</td>\n",
+       "      <td>461</td>\n",
+       "      <td>36</td>\n",
+       "      <td>55</td>\n",
+       "      <td>44</td>\n",
+       "      <td>2,261</td>\n",
+       "      <td>2015</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Monday</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-02-10</th>\n",
+       "      <td>3,828</td>\n",
+       "      <td>467</td>\n",
+       "      <td>34</td>\n",
+       "      <td>68</td>\n",
+       "      <td>45</td>\n",
+       "      <td>2,411</td>\n",
+       "      <td>2015</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Tuesday</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-02-11</th>\n",
+       "      <td>3,821</td>\n",
+       "      <td>449</td>\n",
+       "      <td>38</td>\n",
+       "      <td>56</td>\n",
+       "      <td>46</td>\n",
+       "      <td>2,663</td>\n",
+       "      <td>2015</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Wednesday</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-02-12</th>\n",
+       "      <td>3,791</td>\n",
+       "      <td>436</td>\n",
+       "      <td>30</td>\n",
+       "      <td>31</td>\n",
+       "      <td>46</td>\n",
+       "      <td>3,098</td>\n",
+       "      <td>2015</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Thursday</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-02-13</th>\n",
+       "      <td>3,789</td>\n",
+       "      <td>400</td>\n",
+       "      <td>25</td>\n",
+       "      <td>210</td>\n",
+       "      <td>46</td>\n",
+       "      <td>3,453</td>\n",
+       "      <td>2015</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Friday</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            prod_totale  hydrau  solaire  eolien  bio  conso_elec  annee  \\\n",
+       "date                                                                       \n",
+       "2015-02-08        3,622     384       27     190   45       1,797   2015   \n",
+       "2015-02-09        3,773     461       36      55   44       2,261   2015   \n",
+       "2015-02-10        3,828     467       34      68   45       2,411   2015   \n",
+       "2015-02-11        3,821     449       38      56   46       2,663   2015   \n",
+       "2015-02-12        3,791     436       30      31   46       3,098   2015   \n",
+       "2015-02-13        3,789     400       25     210   46       3,453   2015   \n",
+       "\n",
+       "            mois   jour_sem  \n",
+       "date                         \n",
+       "2015-02-08     2     Sunday  \n",
+       "2015-02-09     2     Monday  \n",
+       "2015-02-10     2    Tuesday  \n",
+       "2015-02-11     2  Wednesday  \n",
+       "2015-02-12     2   Thursday  \n",
+       "2015-02-13     2     Friday  "
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "elec_df['annee'] = elec_df.index.year\n",
     "elec_df['mois'] = elec_df.index.month\n",
-    "elec_df['jour_sem'] = elec_df.index.day_name()\n",
+    "elec_df['jour_sem'] = elec_df.index.weekday_name\n",
     "\n",
-    "elec_df"
+    "elec_df[768:774]"
    ]
   },
   {
@@ -305,7 +1684,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -342,9 +1721,132 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 20,
+   "metadata": {},
+   "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>conso_elec</th>\n",
+       "      <th>prod_totale</th>\n",
+       "      <th>hydrau</th>\n",
+       "      <th>solaire</th>\n",
+       "      <th>eolien</th>\n",
+       "      <th>bio</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>2,922</td>\n",
+       "      <td>2,922</td>\n",
+       "      <td>2,922</td>\n",
+       "      <td>2,922</td>\n",
+       "      <td>2,922</td>\n",
+       "      <td>2,922</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>2,586</td>\n",
+       "      <td>2,921</td>\n",
+       "      <td>348</td>\n",
+       "      <td>48</td>\n",
+       "      <td>137</td>\n",
+       "      <td>47</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>521</td>\n",
+       "      <td>475</td>\n",
+       "      <td>106</td>\n",
+       "      <td>28</td>\n",
+       "      <td>106</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>1,692</td>\n",
+       "      <td>1,826</td>\n",
+       "      <td>101</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7</td>\n",
+       "      <td>25</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>2,208</td>\n",
+       "      <td>2,563</td>\n",
+       "      <td>261</td>\n",
+       "      <td>25</td>\n",
+       "      <td>61</td>\n",
+       "      <td>42</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>2,419</td>\n",
+       "      <td>2,803</td>\n",
+       "      <td>350</td>\n",
+       "      <td>43</td>\n",
+       "      <td>104</td>\n",
+       "      <td>48</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>2,991</td>\n",
+       "      <td>3,315</td>\n",
+       "      <td>430</td>\n",
+       "      <td>66</td>\n",
+       "      <td>180</td>\n",
+       "      <td>52</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>4,301</td>\n",
+       "      <td>4,211</td>\n",
+       "      <td>607</td>\n",
+       "      <td>134</td>\n",
+       "      <td>588</td>\n",
+       "      <td>64</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       conso_elec  prod_totale  hydrau  solaire  eolien   bio\n",
+       "count       2,922        2,922   2,922    2,922   2,922 2,922\n",
+       "mean        2,586        2,921     348       48     137    47\n",
+       "std           521          475     106       28     106     7\n",
+       "min         1,692        1,826     101        3       7    25\n",
+       "25%         2,208        2,563     261       25      61    42\n",
+       "50%         2,419        2,803     350       43     104    48\n",
+       "75%         2,991        3,315     430       66     180    52\n",
+       "max         4,301        4,211     607      134     588    64"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "elec_df[['conso_elec', 'prod_totale', 'hydrau', 'solaire', 'eolien', 'bio',]].describe()"
    ]
@@ -367,9 +1869,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 792x1080 with 5 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "fig, axes = plt.subplots(5, 1, figsize=(11, 15), sharex=True)\n",
     "for name, ax in zip(['conso_elec', 'hydrau', 'solaire', 'eolien', 'bio'], axes):\n",
@@ -387,7 +1902,13 @@
    "source": [
     "**Commentaires:** \n",
     "    - confirmation de la saisonnalité de la consommation électrique, avec des pics durant les mois les plus froids (novembre à mars),  \n",
-    "    - "
+    "    - Les productions éoliennes, solaires ou hydroéléctriques varient au cours de l'année avec une saisonnalité différente selon la production considérée:  \n",
+    "        * hydroélectrique : production moindre sur la période de juillet à octobre que nous pouvons décomposer en 2 phases:  \n",
+    "            # juillet - août : période traditionnelle de sécheresse  \n",
+    "            # septembre - octobre : reconstitution des réserves de stockage hydriques\n",
+    "        * solaire : saisonnalité \"classique\" lié à la saisonnalité annuelle de l'ensoleillement\n",
+    "        * éolien : saisonnalité inversée p/r à l'éolien mais moins marquée. On notera un nombre de valeurs mensuelles irrégulières plus important que pour les autres productions, reflet d'un potentiel \"éolien\" mensuel plus sensible aux fluctuations climatiques (tempête, ...)  \n",
+    "    - La production d'électricité à base de bio énergies peut être considérée comme la seule à âtre régulière tout au long de l'année. "
    ]
   },
   {
@@ -399,9 +1920,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "''"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1008x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "fig, ax = plt.subplots(figsize=(14,5))\n",
     "ax = sns.boxplot(data=elec_df, x='jour_sem', y='conso_elec')\n",
@@ -418,9 +1962,7 @@
    "metadata": {},
    "source": [
     "**Remarques:** \n",
-    "    - la consommation d'électricité est plus faible lors du week-end, mais avec un écart qu'on aurait supposé pls important avec les autres jours de la semaine.\n",
-    "    cru plus imortantdans une proportion à partir d'énergies renouvelables se caractérise par une forte variabilité annuelle. On observe une forte variabilité (min vs max) de ces productions sur la période considérée. Pour confirmation, on observera l'évolution intra-annuelle.\n",
-    "    - L'évolution du potentiel de production éolien semble avoir ete plus imortant que celui du solaire (différence min-max)."
+    "    - la consommation d'électricité est plus faible lors du week-end, mais avec un écart qu'on aurait supposé plus important par rapport aux autres jours de la semaine.  "
    ]
   },
   {
@@ -454,9 +1996,112 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 23,
+   "metadata": {},
+   "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>prod_totale</th>\n",
+       "      <th>conso_elec</th>\n",
+       "      <th>hydrau</th>\n",
+       "      <th>solaire</th>\n",
+       "      <th>eolien</th>\n",
+       "      <th>bio</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>date</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>2013-01-31</th>\n",
+       "      <td>115,031</td>\n",
+       "      <td>99,568</td>\n",
+       "      <td>13,640</td>\n",
+       "      <td>281</td>\n",
+       "      <td>2,645</td>\n",
+       "      <td>1,105</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2013-02-28</th>\n",
+       "      <td>104,102</td>\n",
+       "      <td>89,522</td>\n",
+       "      <td>13,541</td>\n",
+       "      <td>447</td>\n",
+       "      <td>2,923</td>\n",
+       "      <td>995</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2013-03-31</th>\n",
+       "      <td>103,425</td>\n",
+       "      <td>93,263</td>\n",
+       "      <td>12,729</td>\n",
+       "      <td>673</td>\n",
+       "      <td>2,702</td>\n",
+       "      <td>1,083</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2013-04-30</th>\n",
+       "      <td>87,976</td>\n",
+       "      <td>76,669</td>\n",
+       "      <td>14,253</td>\n",
+       "      <td>847</td>\n",
+       "      <td>2,976</td>\n",
+       "      <td>861</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2013-05-31</th>\n",
+       "      <td>86,482</td>\n",
+       "      <td>79,348</td>\n",
+       "      <td>17,016</td>\n",
+       "      <td>981</td>\n",
+       "      <td>2,304</td>\n",
+       "      <td>994</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            prod_totale  conso_elec  hydrau  solaire  eolien   bio\n",
+       "date                                                              \n",
+       "2013-01-31      115,031      99,568  13,640      281   2,645 1,105\n",
+       "2013-02-28      104,102      89,522  13,541      447   2,923   995\n",
+       "2013-03-31      103,425      93,263  12,729      673   2,702 1,083\n",
+       "2013-04-30       87,976      76,669  14,253      847   2,976   861\n",
+       "2013-05-31       86,482      79,348  17,016      981   2,304   994"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "cols_month = ['prod_totale', 'conso_elec', 'hydrau', 'solaire', 'eolien', 'bio']\n",
     "elec_month = elec_df[cols_month].resample('M').sum(min_count=28)\n",
@@ -473,9 +2118,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1008x504 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "import matplotlib.dates as mdates\n",
     "\n",
@@ -495,7 +2153,7 @@
    "metadata": {},
    "source": [
     "**Remarques:**  \n",
-    "On peut observer :  \n",
+    "On observe :  \n",
     "    * la saisonnalité des différents items (en dehors de la bio-énergie),  \n",
     "    * la relative constance de la consommation électrique au cours des années, voire sa légère tendance à la baisse (à confirmer),  \n",
     "    * la part croissante de l'éolien, et dans une moindre mesure du solaire, dans la contribution à la production d'éléctricité."
@@ -524,9 +2182,142 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 25,
+   "metadata": {},
+   "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>prod_totale</th>\n",
+       "      <th>conso_elec</th>\n",
+       "      <th>hydrau</th>\n",
+       "      <th>solaire</th>\n",
+       "      <th>eolien</th>\n",
+       "      <th>bio</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>date</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>2013</th>\n",
+       "      <td>1,096,960</td>\n",
+       "      <td>984,370</td>\n",
+       "      <td>149,301</td>\n",
+       "      <td>9,093</td>\n",
+       "      <td>31,825</td>\n",
+       "      <td>12,404</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2014</th>\n",
+       "      <td>1,076,425</td>\n",
+       "      <td>924,697</td>\n",
+       "      <td>134,721</td>\n",
+       "      <td>11,638</td>\n",
+       "      <td>34,118</td>\n",
+       "      <td>15,020</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015</th>\n",
+       "      <td>1,089,261</td>\n",
+       "      <td>946,306</td>\n",
+       "      <td>117,043</td>\n",
+       "      <td>14,573</td>\n",
+       "      <td>42,189</td>\n",
+       "      <td>15,833</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2016</th>\n",
+       "      <td>1,058,694</td>\n",
+       "      <td>960,641</td>\n",
+       "      <td>126,719</td>\n",
+       "      <td>16,522</td>\n",
+       "      <td>41,836</td>\n",
+       "      <td>17,423</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2017</th>\n",
+       "      <td>1,054,369</td>\n",
+       "      <td>958,089</td>\n",
+       "      <td>106,027</td>\n",
+       "      <td>17,987</td>\n",
+       "      <td>48,195</td>\n",
+       "      <td>18,877</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018</th>\n",
+       "      <td>1,093,297</td>\n",
+       "      <td>951,042</td>\n",
+       "      <td>134,820</td>\n",
+       "      <td>21,166</td>\n",
+       "      <td>56,262</td>\n",
+       "      <td>19,092</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019</th>\n",
+       "      <td>1,070,779</td>\n",
+       "      <td>940,954</td>\n",
+       "      <td>119,004</td>\n",
+       "      <td>24,204</td>\n",
+       "      <td>67,632</td>\n",
+       "      <td>19,321</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020</th>\n",
+       "      <td>995,090</td>\n",
+       "      <td>891,236</td>\n",
+       "      <td>128,795</td>\n",
+       "      <td>25,295</td>\n",
+       "      <td>78,498</td>\n",
+       "      <td>18,794</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      prod_totale  conso_elec  hydrau  solaire  eolien    bio\n",
+       "date                                                         \n",
+       "2013    1,096,960     984,370 149,301    9,093  31,825 12,404\n",
+       "2014    1,076,425     924,697 134,721   11,638  34,118 15,020\n",
+       "2015    1,089,261     946,306 117,043   14,573  42,189 15,833\n",
+       "2016    1,058,694     960,641 126,719   16,522  41,836 17,423\n",
+       "2017    1,054,369     958,089 106,027   17,987  48,195 18,877\n",
+       "2018    1,093,297     951,042 134,820   21,166  56,262 19,092\n",
+       "2019    1,070,779     940,954 119,004   24,204  67,632 19,321\n",
+       "2020      995,090     891,236 128,795   25,295  78,498 18,794"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "elec_year = elec_df[cols_month].resample('A').sum()\n",
     "\n",
@@ -545,9 +2336,173 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 26,
+   "metadata": {},
+   "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>prod_totale</th>\n",
+       "      <th>conso_elec</th>\n",
+       "      <th>hydrau</th>\n",
+       "      <th>solaire</th>\n",
+       "      <th>eolien</th>\n",
+       "      <th>bio</th>\n",
+       "      <th>renouvelables</th>\n",
+       "      <th>renouvelables/consommation</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>date</th>\n",
+       "      <th></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>2013</th>\n",
+       "      <td>1,096,960</td>\n",
+       "      <td>984,370</td>\n",
+       "      <td>149,301</td>\n",
+       "      <td>9,093</td>\n",
+       "      <td>31,825</td>\n",
+       "      <td>12,404</td>\n",
+       "      <td>202,622</td>\n",
+       "      <td>21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2014</th>\n",
+       "      <td>1,076,425</td>\n",
+       "      <td>924,697</td>\n",
+       "      <td>134,721</td>\n",
+       "      <td>11,638</td>\n",
+       "      <td>34,118</td>\n",
+       "      <td>15,020</td>\n",
+       "      <td>195,496</td>\n",
+       "      <td>21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015</th>\n",
+       "      <td>1,089,261</td>\n",
+       "      <td>946,306</td>\n",
+       "      <td>117,043</td>\n",
+       "      <td>14,573</td>\n",
+       "      <td>42,189</td>\n",
+       "      <td>15,833</td>\n",
+       "      <td>189,637</td>\n",
+       "      <td>20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2016</th>\n",
+       "      <td>1,058,694</td>\n",
+       "      <td>960,641</td>\n",
+       "      <td>126,719</td>\n",
+       "      <td>16,522</td>\n",
+       "      <td>41,836</td>\n",
+       "      <td>17,423</td>\n",
+       "      <td>202,499</td>\n",
+       "      <td>21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2017</th>\n",
+       "      <td>1,054,369</td>\n",
+       "      <td>958,089</td>\n",
+       "      <td>106,027</td>\n",
+       "      <td>17,987</td>\n",
+       "      <td>48,195</td>\n",
+       "      <td>18,877</td>\n",
+       "      <td>191,087</td>\n",
+       "      <td>20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018</th>\n",
+       "      <td>1,093,297</td>\n",
+       "      <td>951,042</td>\n",
+       "      <td>134,820</td>\n",
+       "      <td>21,166</td>\n",
+       "      <td>56,262</td>\n",
+       "      <td>19,092</td>\n",
+       "      <td>231,339</td>\n",
+       "      <td>24</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2019</th>\n",
+       "      <td>1,070,779</td>\n",
+       "      <td>940,954</td>\n",
+       "      <td>119,004</td>\n",
+       "      <td>24,204</td>\n",
+       "      <td>67,632</td>\n",
+       "      <td>19,321</td>\n",
+       "      <td>230,162</td>\n",
+       "      <td>24</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020</th>\n",
+       "      <td>995,090</td>\n",
+       "      <td>891,236</td>\n",
+       "      <td>128,795</td>\n",
+       "      <td>25,295</td>\n",
+       "      <td>78,498</td>\n",
+       "      <td>18,794</td>\n",
+       "      <td>251,382</td>\n",
+       "      <td>28</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      prod_totale  conso_elec  hydrau  solaire  eolien    bio  renouvelables  \\\n",
+       "date                                                                           \n",
+       "2013    1,096,960     984,370 149,301    9,093  31,825 12,404        202,622   \n",
+       "2014    1,076,425     924,697 134,721   11,638  34,118 15,020        195,496   \n",
+       "2015    1,089,261     946,306 117,043   14,573  42,189 15,833        189,637   \n",
+       "2016    1,058,694     960,641 126,719   16,522  41,836 17,423        202,499   \n",
+       "2017    1,054,369     958,089 106,027   17,987  48,195 18,877        191,087   \n",
+       "2018    1,093,297     951,042 134,820   21,166  56,262 19,092        231,339   \n",
+       "2019    1,070,779     940,954 119,004   24,204  67,632 19,321        230,162   \n",
+       "2020      995,090     891,236 128,795   25,295  78,498 18,794        251,382   \n",
+       "\n",
+       "      renouvelables/consommation  \n",
+       "date                              \n",
+       "2013                          21  \n",
+       "2014                          21  \n",
+       "2015                          20  \n",
+       "2016                          21  \n",
+       "2017                          20  \n",
+       "2018                          24  \n",
+       "2019                          24  \n",
+       "2020                          28  "
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "elec_year['renouvelables'] = [w+x+y+z for w,x,y,z in zip(elec_year['hydrau'], elec_year['solaire'], elec_year['eolien'],\n",
     "                                                         elec_year['bio'])]\n",
@@ -566,9 +2521,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1008x504 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "import matplotlib.ticker as mtick\n",
     "\n",
@@ -589,7 +2557,7 @@
    "source": [
     "**Remarques:**  \n",
     "    * la part de la production électrique \"renouvelable\" dans la consommation globale d'électrcité est passée de 20% en 2013 à 28% en 2020  \n",
-    "    * personnellement assez surpris par la part de la production électrique renouvelable dans la consommation électrique globale. légère surestimation ? La production hydroélectrique y est pour beaucoup"
+    "    * personnellement assez surpris par la part de la production électrique renouvelable dans la consommation électrique globale -> légère surestimation ? La production hydroélectrique est fortement contributrice"
    ]
   },
   {
@@ -618,12 +2586,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Création de la colonne \"renouvlables\", cumul des productions hydro+éolien+solaire+bio"
+    "Création de la colonne **\"renouvelables\"**, cumul des productions hydro+éolien+solaire+bio"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -635,7 +2603,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -646,14 +2614,27 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Tracé du graphique de tendance"
+    "*Tracé du graphique de tendance*"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1008x504 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "fig, ax = plt.subplots(figsize=(14,7))\n",
     "for x in ['hydrau', 'solaire', 'eolien', 'bio', 'renouvelables']:\n",
@@ -671,7 +2652,7 @@
    "metadata": {},
    "source": [
     "**Conclusion:**  \n",
-    "    * la production d'électricité \"renouvelable\" augmente au cours des années, conformément aux annonces politiques  \n",
+    "    * Conformément aux annonces politiques, la production d'électricité \"renouvelable\" augmente au cours des années...,   \n",
     "    * le principal contributeur de cette hausee est l'énergie éolienne et dans une moindre mesure la production éolienne et les bioénergies  \n",
     "    * la production hydroélectrique a tendance à régresser au cours des années (lien avec la fréquence des sécheresses sur la même période ?) mais participe toujours à hauteur de 50% dans la production d'électricité renouvelable."
    ]