Modifications mineures.

module3/exo3/exercice.ipynb

@@ -492,11 +492,42 @@
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-      "Requirement already satisfied: lmfit in /opt/conda/lib/python3.6/site-packages (1.0.0)\r\n",
-      "Requirement already satisfied: asteval>=0.9.16 in /opt/conda/lib/python3.6/site-packages (from lmfit) (0.9.18)\r\n",
-      "Requirement already satisfied: numpy>=1.16 in /opt/conda/lib/python3.6/site-packages (from lmfit) (1.18.2)\r\n",
-      "Requirement already satisfied: scipy>=1.2 in /opt/conda/lib/python3.6/site-packages (from lmfit) (1.4.1)\r\n",
-      "Requirement already satisfied: uncertainties>=3.0.1 in /opt/conda/lib/python3.6/site-packages (from lmfit) (3.1.2)\r\n"
+      "Collecting lmfit\n",
+      "  Downloading lmfit-1.0.0.tar.gz (258 kB)\n",
+      "\u001b[K     |████████████████████████████████| 258 kB 6.5 MB/s eta 0:00:01     |████████████████████████        | 194 kB 6.5 MB/s eta 0:00:01\n",
+      "\u001b[?25hCollecting asteval>=0.9.16\n",
+      "  Downloading asteval-0.9.18.tar.gz (52 kB)\n",
+      "\u001b[K     |████████████████████████████████| 52 kB 1.7 MB/s  eta 0:00:01\n",
+      "\u001b[?25hCollecting numpy>=1.16\n",
+      "  Downloading numpy-1.18.2-cp36-cp36m-manylinux1_x86_64.whl (20.2 MB)\n",
+      "\u001b[K     |████████████████████████████████| 20.2 MB 23.4 MB/s eta 0:00:01    |██████████████▊                 | 9.3 MB 23.4 MB/s eta 0:00:01     |███████████████████████████████ | 19.5 MB 23.4 MB/s eta 0:00:01\n",
+      "\u001b[?25hCollecting scipy>=1.2\n",
+      "  Downloading scipy-1.4.1-cp36-cp36m-manylinux1_x86_64.whl (26.1 MB)\n",
+      "\u001b[K     |████████████████████████████████| 26.1 MB 105 kB/s  eta 0:00:01\n",
+      "\u001b[?25hCollecting uncertainties>=3.0.1\n",
+      "  Downloading uncertainties-3.1.2.tar.gz (232 kB)\n",
+      "\u001b[K     |████████████████████████████████| 232 kB 28.8 MB/s eta 0:00:01\n",
+      "\u001b[?25hBuilding wheels for collected packages: lmfit, asteval, uncertainties\n",
+      "  Building wheel for lmfit (setup.py) ... \u001b[?25ldone\n",
+      "\u001b[?25h  Created wheel for lmfit: filename=lmfit-1.0.0-py3-none-any.whl size=87914 sha256=d5e2ae79e81a2dbf074c0ef92cf392d1c67e5cd66d77e0ca72975f7ba8ec95a7\n",
+      "  Stored in directory: /home/jovyan/.cache/pip/wheels/e2/c7/ed/ccfe7d5de2af8a029a77c9c54f4a592381977d42da50d6be7e\n",
+      "  Building wheel for asteval (setup.py) ... \u001b[?25ldone\n",
+      "\u001b[?25h  Created wheel for asteval: filename=asteval-0.9.18-py3-none-any.whl size=17382 sha256=b0540802373c4b0075a85a51ab68cfc26295866d0b8bdb4ef6e20b4eb849aecf\n",
+      "  Stored in directory: /home/jovyan/.cache/pip/wheels/e4/91/a3/08d0c0afc17a193dc65245d605087dc1c8b2848ec70b18d545\n",
+      "  Building wheel for uncertainties (setup.py) ... \u001b[?25ldone\n",
+      "\u001b[?25h  Created wheel for uncertainties: filename=uncertainties-3.1.2-py3-none-any.whl size=96454 sha256=37e7eea39a33d617386dda15004f2a09c7ab191bb5f70a289b4259d6436d60c8\n",
+      "  Stored in directory: /home/jovyan/.cache/pip/wheels/78/52/c1/1028f3e019b7ee67e1fe1ecfaa049c464aba5fc756acbd0dd0\n",
+      "Successfully built lmfit asteval uncertainties\n",
+      "Installing collected packages: asteval, numpy, scipy, uncertainties, lmfit\n",
+      "  Attempting uninstall: numpy\n",
+      "    Found existing installation: numpy 1.15.2\n",
+      "    Uninstalling numpy-1.15.2:\n",
+      "      Successfully uninstalled numpy-1.15.2\n",
+      "  Attempting uninstall: scipy\n",
+      "    Found existing installation: scipy 1.1.0\n",
+      "    Uninstalling scipy-1.1.0:\n",
+      "      Successfully uninstalled scipy-1.1.0\n",
+      "Successfully installed asteval-0.9.18 lmfit-1.0.0 numpy-1.18.2 scipy-1.4.1 uncertainties-3.1.2\n"
      ]
     }
    ],
@@ -568,7 +599,7 @@
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+   "execution_count": 11,
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@@ -686,7 +717,8 @@
    "cell_type": "code",
    "execution_count": 16,
    "metadata": {
-    "hideCode": false,
+    "hideCode": true,
+    "hideOutput": false,
     "hidePrompt": true
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    "outputs": [
@@ -786,7 +818,7 @@
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+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f49fe62dac8>"
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@@ -866,7 +898,7 @@
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+   "execution_count": 21,
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@@ -952,7 +984,7 @@
     {
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-       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa3db000278>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f49fe54bb38>"
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@@ -1040,7 +1072,7 @@
     {
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-       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa4041c7550>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f4a28d930b8>"
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@@ -1252,7 +1284,7 @@
     {
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-       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa40643fdd8>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f4a28a49470>"
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@@ -1330,7 +1362,7 @@
     {
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-       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa4043843c8>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f4a28dbcf28>"
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      "execution_count": 36,
@@ -1376,7 +1408,7 @@
    },
    "source": [
     "Ci-dessus la prédiction pour l'année 2025 complète (courbe verte) et sa tendance à long terme (courbe orange).  \n",
-    "Pour assurer une bonne lisibilité du graphique, les intervalles de confiance (très étroits) ne sont pas représentés."
+    "Pour assurer une bonne lisibilité du graphique, les intervalles de confiance (très restreints) ne sont pas représentés."
    ]
   },
   {