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Commit fb58e8b4 authored by 39781cc7cca0dc30af9d6060ede9947c's avatar 39781cc7cca0dc30af9d6060ede9947c
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Modifications mineures.

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module3/exo3/exercice.ipynb
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......@@ -137,7 +137,7 @@
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......@@ -152,7 +152,7 @@
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"(3156, 1)"
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......@@ -271,7 +271,7 @@
"1958-04-26 316.48"
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......@@ -314,7 +314,7 @@
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......@@ -492,11 +492,42 @@
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"text": [
"Requirement already satisfied: lmfit in /opt/conda/lib/python3.6/site-packages (1.0.0)\n",
"Requirement already satisfied: scipy>=1.2 in /opt/conda/lib/python3.6/site-packages (from lmfit) (1.4.1)\n",
"Requirement already satisfied: uncertainties>=3.0.1 in /opt/conda/lib/python3.6/site-packages (from lmfit) (3.1.2)\n",
"Requirement already satisfied: numpy>=1.16 in /opt/conda/lib/python3.6/site-packages (from lmfit) (1.18.2)\n",
"Requirement already satisfied: asteval>=0.9.16 in /opt/conda/lib/python3.6/site-packages (from lmfit) (0.9.18)\n"
"Collecting lmfit\n",
" Downloading lmfit-1.0.0.tar.gz (258 kB)\n",
"\u001b[K |████████████████████████████████| 258 kB 7.0 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 1.9 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 463 kB/s eta 0:00:01 |████ | 2.5 MB 8.3 MB/s eta 0:00:03 |█████████████████▎ | 10.9 MB 8.3 MB/s eta 0:00:02 |████████████████████████▍ | 15.3 MB 8.3 MB/s eta 0:00:01 |███████████████████████████████▍| 19.8 MB 8.3 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 27.5 MB/s eta 0:00:01 |██████████ | 8.1 MB 24.3 MB/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 30.0 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=5a8c02c2a998b5bf67c4a5b35422629b89a67042e27e58d87e7a487b43038b33\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=4638c0fa5c91f55749042e10a259474b2bb3912aa5586d65d04a014f2741893e\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=ab1de3ce47727e5a0b42bebddf4afb145e2720e6f232d98304bd15ab694c35d2\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"
]
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......@@ -851,7 +882,7 @@
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......@@ -871,12 +902,12 @@
"Avec ces résulats nous pouvons caractériser l'oscillation saisonnière comme suit :\n",
"- +/- 2.5 *ppm* sur une année.\n",
"- Une féquence de 1 année pour chaque oscillation. Ce qui conforme aux observations.\n",
"- Un décalage de 316.19 *ppm* qui correspond à la première mesure de la base de données."
"- Un décalage de 316.20 *ppm* qui correspond à la première mesure de la base de données."
]
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......
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