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"<img width=\"800px\" src=\"../fidle/img/00-Fidle-header-01.svg\"></img>\n",
"\n",
"# <!-- TITLE --> [SYNOP1] - Time series with RNN - Preparation of data\n",
"<!-- DESC --> Episode 1 : Data analysis and creation of a usable dataset\n",
"<!-- AUTHOR : Jean-Luc Parouty (CNRS/SIMaP) -->\n",
"\n",
"## Objectives :\n",
" - Undestand the data\n",
" - cleanup a usable dataset\n",
"\n",
"\n",
"SYNOP meteorological data, available at: https://public.opendatasoft.com\n",
"\n",
"## What we're going to do :\n",
"\n",
" - Read the data\n",
" - Cleanup and build a usable dataset\n",
"\n",
"## Step 1 - Import and init\n",
"### 1.1 - Python"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
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"text": [
"\n",
"FIDLE 2020 - Practical Work Module\n",
"Version : 0.57 DEV\n",
"Run time : Thursday 10 September 2020, 16:51:54\n",
"TensorFlow version : 2.2.0\n",
"Keras version : 2.3.0-tf\n",
"Current place : Fidle at IDRIS\n",
"Dataset dir : /gpfswork/rech/mlh/commun/datasets\n",
"Update keras cache : Done\n"
]
}
],
"source": [
"import tensorflow as tf\n",
"from tensorflow import keras\n",
"from tensorflow.keras.callbacks import TensorBoard\n",
"\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"\n",
"import pandas as pd\n",
"import h5py, json\n",
"import os,time,sys\n",
"import math, random\n",
"\n",
"from importlib import reload\n",
"\n",
"sys.path.append('..')\n",
"import fidle.pwk as ooo\n",
"from fidle.pwk import subtitle\n",
"\n",
"place, datasets_dir = ooo.init()\n",
"\n",
"pd.set_option('display.max_rows',200)\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Step 2 - Read the data"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"data_filename = 'origine/donnees-synop-essentielles-omm-LYS.csv'\n",
"schema_filename = 'origine/schema.json'"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 2.1 - Read columns code"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"with open(f'{datasets_dir}/SYNOP/{schema_filename}','r') as json_file:\n",
" schema = json.load(json_file)\n",
"\n",
"synop_codes=list( schema['definitions']['donnees-synop-essentielles-omm_records']['properties']['fields']['properties'].keys() )"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 2.2 - Read data"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
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" <td>5.077833</td>\n",
" <td>45.7265</td>\n",
" <td>Colombier-Saugnieu</td>\n",
" <td>69299</td>\n",
" <td>CC de l'Est Lyonnais (CCEL)</td>\n",
" <td>246900575</td>\n",
" <td>Rhône</td>\n",
" <td>69</td>\n",
" <td>Auvergne-Rhône-Alpes</td>\n",
" <td>84</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29162</th>\n",
" <td>7481</td>\n",
" <td>2020-01-25T22:00:00+01:00</td>\n",
" <td>102030.0</td>\n",
" <td>20.0</td>\n",
" <td>1.0</td>\n",
" <td>140.0</td>\n",
" <td>4.9</td>\n",
" <td>281.45</td>\n",
" <td>278.55</td>\n",
" <td>82.0</td>\n",
" <td>...</td>\n",
" <td>5.077833</td>\n",
" <td>45.7265</td>\n",
" <td>Colombier-Saugnieu</td>\n",
" <td>69299</td>\n",
" <td>CC de l'Est Lyonnais (CCEL)</td>\n",
" <td>246900575</td>\n",
" <td>Rhône</td>\n",
" <td>69</td>\n",
" <td>Auvergne-Rhône-Alpes</td>\n",
" <td>84</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29163</th>\n",
" <td>7481</td>\n",
" <td>2020-01-26T19:00:00+01:00</td>\n",
" <td>102010.0</td>\n",
" <td>80.0</td>\n",
" <td>3.0</td>\n",
" <td>170.0</td>\n",
" <td>3.7</td>\n",
" <td>282.85</td>\n",
" <td>279.15</td>\n",
" <td>78.0</td>\n",
" <td>...</td>\n",
" <td>5.077833</td>\n",
" <td>45.7265</td>\n",
" <td>Colombier-Saugnieu</td>\n",
" <td>69299</td>\n",
" <td>CC de l'Est Lyonnais (CCEL)</td>\n",
" <td>246900575</td>\n",
" <td>Rhône</td>\n",
" <td>69</td>\n",
" <td>Auvergne-Rhône-Alpes</td>\n",
" <td>84</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29164</th>\n",
" <td>7481</td>\n",
" <td>2020-02-08T19:00:00+01:00</td>\n",
" <td>102540.0</td>\n",
" <td>150.0</td>\n",
" <td>2.0</td>\n",
" <td>190.0</td>\n",
" <td>6.2</td>\n",
" <td>283.75</td>\n",
" <td>277.65</td>\n",
" <td>66.0</td>\n",
" <td>...</td>\n",
" <td>5.077833</td>\n",
" <td>45.7265</td>\n",
" <td>Colombier-Saugnieu</td>\n",
" <td>69299</td>\n",
" <td>CC de l'Est Lyonnais (CCEL)</td>\n",
" <td>246900575</td>\n",
" <td>Rhône</td>\n",
" <td>69</td>\n",
" <td>Auvergne-Rhône-Alpes</td>\n",
" <td>84</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>10 rows × 81 columns</p>\n",
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"text/plain": [
" ID OMM station Date Pression au niveau mer \\\n",
"29155 7481 2019-11-16T01:00:00+01:00 100640.0 \n",
"29156 7481 2019-11-16T19:00:00+01:00 101090.0 \n",
"29157 7481 2020-02-12T16:00:00+01:00 102460.0 \n",
"29158 7481 2020-02-13T04:00:00+01:00 102100.0 \n",
"29159 7481 2020-02-14T01:00:00+01:00 102080.0 \n",
"29160 7481 2020-02-14T07:00:00+01:00 102430.0 \n",
"29161 7481 2020-02-15T16:00:00+01:00 102190.0 \n",
"29162 7481 2020-01-25T22:00:00+01:00 102030.0 \n",
"29163 7481 2020-01-26T19:00:00+01:00 102010.0 \n",
"29164 7481 2020-02-08T19:00:00+01:00 102540.0 \n",
"\n",
" Variation de pression en 3 heures Type de tendance barométrique \\\n",
"29155 130.0 1.0 \n",
"29156 90.0 3.0 \n",
"29157 -180.0 6.0 \n",
"29158 -240.0 8.0 \n",
"29159 230.0 1.0 \n",
"29160 210.0 2.0 \n",
"29161 -160.0 6.0 \n",
"29162 20.0 1.0 \n",
"29163 80.0 3.0 \n",
"29164 150.0 2.0 \n",
"\n",
" Direction du vent moyen 10 mn Vitesse du vent moyen 10 mn \\\n",
"29155 190.0 1.0 \n",
"29156 130.0 3.5 \n",
"29157 360.0 2.3 \n",
"29158 150.0 4.9 \n",
"29159 280.0 4.5 \n",
"29160 140.0 3.4 \n",
"29161 180.0 6.9 \n",
"29162 140.0 4.9 \n",
"29163 170.0 3.7 \n",
"29164 190.0 6.2 \n",
"\n",
" Température Point de rosée Humidité ... Longitude Latitude \\\n",
"29155 272.75 272.75 100.0 ... 5.077833 45.7265 \n",
"29156 276.95 274.65 85.0 ... 5.077833 45.7265 \n",
"29157 283.45 271.75 44.0 ... 5.077833 45.7265 \n",
"29158 274.75 271.15 77.0 ... 5.077833 45.7265 \n",
"29159 283.15 276.15 62.0 ... 5.077833 45.7265 \n",
"29160 280.15 278.45 89.0 ... 5.077833 45.7265 \n",
"29161 290.15 273.75 33.0 ... 5.077833 45.7265 \n",
"29162 281.45 278.55 82.0 ... 5.077833 45.7265 \n",
"29163 282.85 279.15 78.0 ... 5.077833 45.7265 \n",
"29164 283.75 277.65 66.0 ... 5.077833 45.7265 \n",
"\n",
" communes (name) communes (code) EPCI (name) \\\n",
"29155 Colombier-Saugnieu 69299 CC de l'Est Lyonnais (CCEL) \n",
"29156 Colombier-Saugnieu 69299 CC de l'Est Lyonnais (CCEL) \n",
"29157 Colombier-Saugnieu 69299 CC de l'Est Lyonnais (CCEL) \n",
"29158 Colombier-Saugnieu 69299 CC de l'Est Lyonnais (CCEL) \n",
"29159 Colombier-Saugnieu 69299 CC de l'Est Lyonnais (CCEL) \n",
"29160 Colombier-Saugnieu 69299 CC de l'Est Lyonnais (CCEL) \n",
"29161 Colombier-Saugnieu 69299 CC de l'Est Lyonnais (CCEL) \n",
"29162 Colombier-Saugnieu 69299 CC de l'Est Lyonnais (CCEL) \n",
"29163 Colombier-Saugnieu 69299 CC de l'Est Lyonnais (CCEL) \n",
"29164 Colombier-Saugnieu 69299 CC de l'Est Lyonnais (CCEL) \n",
"\n",
" EPCI (code) department (name) department (code) \\\n",
"29155 246900575 Rhône 69 \n",
"29156 246900575 Rhône 69 \n",
"29157 246900575 Rhône 69 \n",
"29158 246900575 Rhône 69 \n",
"29159 246900575 Rhône 69 \n",
"29160 246900575 Rhône 69 \n",
"29161 246900575 Rhône 69 \n",
"29162 246900575 Rhône 69 \n",
"29163 246900575 Rhône 69 \n",
"29164 246900575 Rhône 69 \n",
"\n",
" region (name) region (code) \n",
"29155 Auvergne-Rhône-Alpes 84 \n",
"29156 Auvergne-Rhône-Alpes 84 \n",
"29157 Auvergne-Rhône-Alpes 84 \n",
"29158 Auvergne-Rhône-Alpes 84 \n",
"29159 Auvergne-Rhône-Alpes 84 \n",
"29160 Auvergne-Rhône-Alpes 84 \n",
"29161 Auvergne-Rhône-Alpes 84 \n",
"29162 Auvergne-Rhône-Alpes 84 \n",
"29163 Auvergne-Rhône-Alpes 84 \n",
"29164 Auvergne-Rhône-Alpes 84 \n",
"\n",
"[10 rows x 81 columns]"
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" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row35_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row35_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row35_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row36_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row36_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row36_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row37_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row37_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row37_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row38_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row38_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row38_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row39_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row39_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row39_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row40_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row40_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row40_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row41_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row41_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row41_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row42_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row42_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row42_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row43_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row43_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row43_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row44_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row44_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row44_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row45_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row45_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row45_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row46_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row46_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row46_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row47_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row47_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row47_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row48_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row48_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row48_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row49_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row49_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row49_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row50_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row50_col1 {\n",
" text-align: left;\n",
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" text-align: left;\n",
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" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row51_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row51_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row52_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row52_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row52_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row53_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row53_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row53_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row54_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row54_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row54_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row55_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row55_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row55_col2 {\n",
" text-align: left;\n",
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" text-align: left;\n",
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" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row56_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row57_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row57_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row57_col2 {\n",
" text-align: left;\n",
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" text-align: left;\n",
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" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row58_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row59_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row59_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row59_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row60_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row60_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row60_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row61_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row61_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row61_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row62_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row62_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row62_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row63_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row63_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row63_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row64_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row64_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row64_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row65_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row65_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row65_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row66_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row66_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row66_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row67_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row67_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row67_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row68_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row68_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row68_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row69_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row69_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row69_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row70_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row70_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row70_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row71_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row71_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row71_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row72_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row72_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row72_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row73_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row73_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row73_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row74_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row74_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row74_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row75_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row75_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row75_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row76_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row76_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row76_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row77_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row77_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row77_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row78_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row78_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row78_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row79_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row79_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row79_col2 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row80_col0 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row80_col1 {\n",
" text-align: left;\n",
" } #T_6fab2d76_f375_11ea_81aa_0cc47af5c729row80_col2 {\n",
" text-align: left;\n",
" }</style><table id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729\" ><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >Code</th> <th class=\"col_heading level0 col1\" >Description</th> <th class=\"col_heading level0 col2\" >Na</th> </tr></thead><tbody>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row0_col0\" class=\"data row0 col0\" >numer_sta</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row0_col1\" class=\"data row0 col1\" >ID OMM station</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row0_col2\" class=\"data row0 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row1_col0\" class=\"data row1 col0\" >date</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row1_col1\" class=\"data row1 col1\" >Date</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row1_col2\" class=\"data row1 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row2_col0\" class=\"data row2 col0\" >pmer</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row2_col1\" class=\"data row2 col1\" >Pression au niveau mer</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row2_col2\" class=\"data row2 col2\" >17</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row3_col0\" class=\"data row3 col0\" >tend</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row3_col1\" class=\"data row3 col1\" >Variation de pression en 3 heures</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row3_col2\" class=\"data row3 col2\" >2</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row4_col0\" class=\"data row4 col0\" >cod_tend</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row4_col1\" class=\"data row4 col1\" >Type de tendance barométrique</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row4_col2\" class=\"data row4 col2\" >2</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row5_col0\" class=\"data row5 col0\" >dd</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row5_col1\" class=\"data row5 col1\" >Direction du vent moyen 10 mn</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row5_col2\" class=\"data row5 col2\" >3</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row6_col0\" class=\"data row6 col0\" >ff</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row6_col1\" class=\"data row6 col1\" >Vitesse du vent moyen 10 mn</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row6_col2\" class=\"data row6 col2\" >2</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row7_col0\" class=\"data row7 col0\" >t</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row7_col1\" class=\"data row7 col1\" >Température</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row7_col2\" class=\"data row7 col2\" >14</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row8_col0\" class=\"data row8 col0\" >td</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row8_col1\" class=\"data row8 col1\" >Point de rosée</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row8_col2\" class=\"data row8 col2\" >17</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row9_col0\" class=\"data row9 col0\" >u</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row9_col1\" class=\"data row9 col1\" >Humidité</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row9_col2\" class=\"data row9 col2\" >17</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row10\" class=\"row_heading level0 row10\" >10</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row10_col0\" class=\"data row10 col0\" >vv</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row10_col1\" class=\"data row10 col1\" >Visibilité horizontale</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row10_col2\" class=\"data row10 col2\" >31</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row11\" class=\"row_heading level0 row11\" >11</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row11_col0\" class=\"data row11 col0\" >ww</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row11_col1\" class=\"data row11 col1\" >Temps présent</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row11_col2\" class=\"data row11 col2\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row12\" class=\"row_heading level0 row12\" >12</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row12_col0\" class=\"data row12 col0\" >w1</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row12_col1\" class=\"data row12 col1\" >Temps passé 1</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row12_col2\" class=\"data row12 col2\" >542</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row13\" class=\"row_heading level0 row13\" >13</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row13_col0\" class=\"data row13 col0\" >w2</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row13_col1\" class=\"data row13 col1\" >Temps passé 2</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row13_col2\" class=\"data row13 col2\" >552</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row14\" class=\"row_heading level0 row14\" >14</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row14_col0\" class=\"data row14 col0\" >n</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row14_col1\" class=\"data row14 col1\" >Nebulosité totale</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row14_col2\" class=\"data row14 col2\" >801</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row15\" class=\"row_heading level0 row15\" >15</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row15_col0\" class=\"data row15 col0\" >nbas</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row15_col1\" class=\"data row15 col1\" >Nébulosité des nuages de l' étage inférieur</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row15_col2\" class=\"data row15 col2\" >2381</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row16\" class=\"row_heading level0 row16\" >16</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row16_col0\" class=\"data row16 col0\" >hbas</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row16_col1\" class=\"data row16 col1\" >Hauteur de la base des nuages de l'étage inférieur</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row16_col2\" class=\"data row16 col2\" >8861</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row17\" class=\"row_heading level0 row17\" >17</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row17_col0\" class=\"data row17 col0\" >cl</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row17_col1\" class=\"data row17 col1\" >Type des nuages de l'étage inférieur</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row17_col2\" class=\"data row17 col2\" >3377</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row18\" class=\"row_heading level0 row18\" >18</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row18_col0\" class=\"data row18 col0\" >cm</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row18_col1\" class=\"data row18 col1\" >Type des nuages de l'étage moyen</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row18_col2\" class=\"data row18 col2\" >6912</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row19\" class=\"row_heading level0 row19\" >19</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row19_col0\" class=\"data row19 col0\" >ch</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row19_col1\" class=\"data row19 col1\" >Type des nuages de l'étage supérieur</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row19_col2\" class=\"data row19 col2\" >8494</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row20\" class=\"row_heading level0 row20\" >20</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row20_col0\" class=\"data row20 col0\" >pres</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row20_col1\" class=\"data row20 col1\" >Pression station</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row20_col2\" class=\"data row20 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row21\" class=\"row_heading level0 row21\" >21</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row21_col0\" class=\"data row21 col0\" >niv_bar</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row21_col1\" class=\"data row21 col1\" >Niveau barométrique</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row21_col2\" class=\"data row21 col2\" >29165</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row22\" class=\"row_heading level0 row22\" >22</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row22_col0\" class=\"data row22 col0\" >geop</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row22_col1\" class=\"data row22 col1\" >Géopotentiel</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row22_col2\" class=\"data row22 col2\" >29165</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row23\" class=\"row_heading level0 row23\" >23</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row23_col0\" class=\"data row23 col0\" >tend24</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row23_col1\" class=\"data row23 col1\" >Variation de pression en 24 heures</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row23_col2\" class=\"data row23 col2\" >14443</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row24\" class=\"row_heading level0 row24\" >24</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row24_col0\" class=\"data row24 col0\" >tn12</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row24_col1\" class=\"data row24 col1\" >Température minimale sur 12 heures</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row24_col2\" class=\"data row24 col2\" >21883</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row25\" class=\"row_heading level0 row25\" >25</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row25_col0\" class=\"data row25 col0\" >tn24</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row25_col1\" class=\"data row25 col1\" >Température minimale sur 24 heures</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row25_col2\" class=\"data row25 col2\" >29165</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row26\" class=\"row_heading level0 row26\" >26</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row26_col0\" class=\"data row26 col0\" >tx12</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row26_col1\" class=\"data row26 col1\" >Température maximale sur 12 heures</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row26_col2\" class=\"data row26 col2\" >21883</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row27\" class=\"row_heading level0 row27\" >27</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row27_col0\" class=\"data row27 col0\" >tx24</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row27_col1\" class=\"data row27 col1\" >Température maximale sur 24 heures</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row27_col2\" class=\"data row27 col2\" >29165</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row28\" class=\"row_heading level0 row28\" >28</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row28_col0\" class=\"data row28 col0\" >tminsol</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row28_col1\" class=\"data row28 col1\" >Température minimale du sol sur 12 heures</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row28_col2\" class=\"data row28 col2\" >27364</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row29\" class=\"row_heading level0 row29\" >29</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row29_col0\" class=\"data row29 col0\" >sw</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row29_col1\" class=\"data row29 col1\" >Méthode de mesure Température du thermomètre mouillé</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row29_col2\" class=\"data row29 col2\" >29165</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row30\" class=\"row_heading level0 row30\" >30</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row30_col0\" class=\"data row30 col0\" >tw</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row30_col1\" class=\"data row30 col1\" >Température du thermomètre mouillé</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row30_col2\" class=\"data row30 col2\" >29165</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row31\" class=\"row_heading level0 row31\" >31</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row31_col0\" class=\"data row31 col0\" >raf10</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row31_col1\" class=\"data row31 col1\" >Rafale sur les 10 dernières minutes</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row31_col2\" class=\"data row31 col2\" >14127</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row32\" class=\"row_heading level0 row32\" >32</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row32_col0\" class=\"data row32 col0\" >rafper</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row32_col1\" class=\"data row32 col1\" >Rafales sur une période</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row32_col2\" class=\"data row32 col2\" >9</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row33\" class=\"row_heading level0 row33\" >33</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row33_col0\" class=\"data row33 col0\" >per</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row33_col1\" class=\"data row33 col1\" >Periode de mesure de la rafale</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row33_col2\" class=\"data row33 col2\" >8</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row34\" class=\"row_heading level0 row34\" >34</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row34_col0\" class=\"data row34 col0\" >etat_sol</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row34_col1\" class=\"data row34 col1\" >Etat du sol</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row34_col2\" class=\"data row34 col2\" >12278</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row35\" class=\"row_heading level0 row35\" >35</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row35_col0\" class=\"data row35 col0\" >ht_neige</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row35_col1\" class=\"data row35 col1\" >Hauteur totale de la couche de neige, glace, autre au sol</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row35_col2\" class=\"data row35 col2\" >12083</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row36\" class=\"row_heading level0 row36\" >36</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row36_col0\" class=\"data row36 col0\" >ssfrai</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row36_col1\" class=\"data row36 col1\" >Hauteur de la neige fraîche</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row36_col2\" class=\"data row36 col2\" >2914</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row37\" class=\"row_heading level0 row37\" >37</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row37_col0\" class=\"data row37 col0\" >perssfrai</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row37_col1\" class=\"data row37 col1\" >Periode de mesure de la neige fraiche</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row37_col2\" class=\"data row37 col2\" >4489</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row38\" class=\"row_heading level0 row38\" >38</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row38_col0\" class=\"data row38 col0\" >rr1</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row38_col1\" class=\"data row38 col1\" >Précipitations dans la dernière heure</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row38_col2\" class=\"data row38 col2\" >95</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row39\" class=\"row_heading level0 row39\" >39</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row39_col0\" class=\"data row39 col0\" >rr3</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row39_col1\" class=\"data row39 col1\" >Précipitations dans les 3 dernières heures</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row39_col2\" class=\"data row39 col2\" >73</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row40\" class=\"row_heading level0 row40\" >40</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row40_col0\" class=\"data row40 col0\" >rr6</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row40_col1\" class=\"data row40 col1\" >Précipitations dans les 6 dernières heures</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row40_col2\" class=\"data row40 col2\" >10869</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row41\" class=\"row_heading level0 row41\" >41</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row41_col0\" class=\"data row41 col0\" >rr12</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row41_col1\" class=\"data row41 col1\" >Précipitations dans les 12 dernières heures</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row41_col2\" class=\"data row41 col2\" >10919</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row42\" class=\"row_heading level0 row42\" >42</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row42_col0\" class=\"data row42 col0\" >rr24</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row42_col1\" class=\"data row42 col1\" >Précipitations dans les 24 dernières heures</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row42_col2\" class=\"data row42 col2\" >12730</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row43\" class=\"row_heading level0 row43\" >43</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row43_col0\" class=\"data row43 col0\" >phenspe1</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row43_col1\" class=\"data row43 col1\" >Phénomène spécial 1</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row43_col2\" class=\"data row43 col2\" >14818</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row44\" class=\"row_heading level0 row44\" >44</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row44_col0\" class=\"data row44 col0\" >phenspe2</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row44_col1\" class=\"data row44 col1\" >Phénomène spécial 2</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row44_col2\" class=\"data row44 col2\" >14826</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row45\" class=\"row_heading level0 row45\" >45</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row45_col0\" class=\"data row45 col0\" >phenspe3</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row45_col1\" class=\"data row45 col1\" >Phénomène spécial 3</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row45_col2\" class=\"data row45 col2\" >15515</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row46\" class=\"row_heading level0 row46\" >46</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row46_col0\" class=\"data row46 col0\" >phenspe4</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row46_col1\" class=\"data row46 col1\" >Phénomène spécial 4</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row46_col2\" class=\"data row46 col2\" >28869</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row47\" class=\"row_heading level0 row47\" >47</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row47_col0\" class=\"data row47 col0\" >nnuage1</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row47_col1\" class=\"data row47 col1\" >Nébulosité couche nuageuse 1</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row47_col2\" class=\"data row47 col2\" >4753</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row48\" class=\"row_heading level0 row48\" >48</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row48_col0\" class=\"data row48 col0\" >ctype1</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row48_col1\" class=\"data row48 col1\" >Type nuage 1</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row48_col2\" class=\"data row48 col2\" >5699</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row49\" class=\"row_heading level0 row49\" >49</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row49_col0\" class=\"data row49 col0\" >hnuage1</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row49_col1\" class=\"data row49 col1\" >Hauteur de base 1</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row49_col2\" class=\"data row49 col2\" >5439</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row50\" class=\"row_heading level0 row50\" >50</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row50_col0\" class=\"data row50 col0\" >nnuage2</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row50_col1\" class=\"data row50 col1\" >Nébulosité couche nuageuse 2</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row50_col2\" class=\"data row50 col2\" >16112</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row51\" class=\"row_heading level0 row51\" >51</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row51_col0\" class=\"data row51 col0\" >ctype2</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row51_col1\" class=\"data row51 col1\" >Type nuage 2</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row51_col2\" class=\"data row51 col2\" >16643</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row52\" class=\"row_heading level0 row52\" >52</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row52_col0\" class=\"data row52 col0\" >hnuage2</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row52_col1\" class=\"data row52 col1\" >Hauteur de base 2</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row52_col2\" class=\"data row52 col2\" >16317</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row53\" class=\"row_heading level0 row53\" >53</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row53_col0\" class=\"data row53 col0\" >nnuage3</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row53_col1\" class=\"data row53 col1\" >Nébulosité couche nuageuse 3</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row53_col2\" class=\"data row53 col2\" >25387</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row54\" class=\"row_heading level0 row54\" >54</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row54_col0\" class=\"data row54 col0\" >ctype3</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row54_col1\" class=\"data row54 col1\" >Type nuage 3</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row54_col2\" class=\"data row54 col2\" >25642</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row55\" class=\"row_heading level0 row55\" >55</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row55_col0\" class=\"data row55 col0\" >hnuage3</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row55_col1\" class=\"data row55 col1\" >Hauteur de base 3</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row55_col2\" class=\"data row55 col2\" >25431</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row56\" class=\"row_heading level0 row56\" >56</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row56_col0\" class=\"data row56 col0\" >nnuage4</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row56_col1\" class=\"data row56 col1\" >Nébulosité couche nuageuse 4</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row56_col2\" class=\"data row56 col2\" >28850</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row57\" class=\"row_heading level0 row57\" >57</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row57_col0\" class=\"data row57 col0\" >ctype4</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row57_col1\" class=\"data row57 col1\" >Type nuage 4</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row57_col2\" class=\"data row57 col2\" >28780</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row58\" class=\"row_heading level0 row58\" >58</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row58_col0\" class=\"data row58 col0\" >hnuage4</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row58_col1\" class=\"data row58 col1\" >Hauteur de base 4</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row58_col2\" class=\"data row58 col2\" >28850</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row59\" class=\"row_heading level0 row59\" >59</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row59_col0\" class=\"data row59 col0\" >coordonnees</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row59_col1\" class=\"data row59 col1\" >Coordonnees</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row59_col2\" class=\"data row59 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row60\" class=\"row_heading level0 row60\" >60</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row60_col0\" class=\"data row60 col0\" >nom</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row60_col1\" class=\"data row60 col1\" >Nom</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row60_col2\" class=\"data row60 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row61\" class=\"row_heading level0 row61\" >61</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row61_col0\" class=\"data row61 col0\" >type_de_tendance_barometrique</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row61_col1\" class=\"data row61 col1\" >Type de tendance barométrique.1</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row61_col2\" class=\"data row61 col2\" >2</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row62\" class=\"row_heading level0 row62\" >62</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row62_col0\" class=\"data row62 col0\" >temps_passe_1</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row62_col1\" class=\"data row62 col1\" >Temps passé 1.1</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row62_col2\" class=\"data row62 col2\" >542</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row63\" class=\"row_heading level0 row63\" >63</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row63_col0\" class=\"data row63 col0\" >temps_present</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row63_col1\" class=\"data row63 col1\" >Temps présent.1</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row63_col2\" class=\"data row63 col2\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row64\" class=\"row_heading level0 row64\" >64</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row64_col0\" class=\"data row64 col0\" >tc</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row64_col1\" class=\"data row64 col1\" >Température (°C)</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row64_col2\" class=\"data row64 col2\" >14</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row65\" class=\"row_heading level0 row65\" >65</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row65_col0\" class=\"data row65 col0\" >tn12c</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row65_col1\" class=\"data row65 col1\" >Température minimale sur 12 heures (°C)</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row65_col2\" class=\"data row65 col2\" >21883</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row66\" class=\"row_heading level0 row66\" >66</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row66_col0\" class=\"data row66 col0\" >tn24c</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row66_col1\" class=\"data row66 col1\" >Température minimale sur 24 heures (°C)</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row66_col2\" class=\"data row66 col2\" >29165</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row67\" class=\"row_heading level0 row67\" >67</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row67_col0\" class=\"data row67 col0\" >tx12c</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row67_col1\" class=\"data row67 col1\" >Température maximale sur 12 heures (°C)</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row67_col2\" class=\"data row67 col2\" >21883</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row68\" class=\"row_heading level0 row68\" >68</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row68_col0\" class=\"data row68 col0\" >tx24c</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row68_col1\" class=\"data row68 col1\" >Température maximale sur 24 heures (°C)</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row68_col2\" class=\"data row68 col2\" >29165</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row69\" class=\"row_heading level0 row69\" >69</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row69_col0\" class=\"data row69 col0\" >tminsolc</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row69_col1\" class=\"data row69 col1\" >Température minimale du sol sur 12 heures (en °C)</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row69_col2\" class=\"data row69 col2\" >27364</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row70\" class=\"row_heading level0 row70\" >70</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row70_col0\" class=\"data row70 col0\" >altitude</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row70_col1\" class=\"data row70 col1\" >Altitude</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row70_col2\" class=\"data row70 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row71\" class=\"row_heading level0 row71\" >71</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row71_col0\" class=\"data row71 col0\" >longitude</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row71_col1\" class=\"data row71 col1\" >Longitude</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row71_col2\" class=\"data row71 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row72\" class=\"row_heading level0 row72\" >72</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row72_col0\" class=\"data row72 col0\" >latitude</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row72_col1\" class=\"data row72 col1\" >Latitude</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row72_col2\" class=\"data row72 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row73\" class=\"row_heading level0 row73\" >73</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row73_col0\" class=\"data row73 col0\" >libgeo</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row73_col1\" class=\"data row73 col1\" >communes (name)</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row73_col2\" class=\"data row73 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row74\" class=\"row_heading level0 row74\" >74</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row74_col0\" class=\"data row74 col0\" >codegeo</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row74_col1\" class=\"data row74 col1\" >communes (code)</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row74_col2\" class=\"data row74 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row75\" class=\"row_heading level0 row75\" >75</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row75_col0\" class=\"data row75 col0\" >nom_epci</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row75_col1\" class=\"data row75 col1\" >EPCI (name)</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row75_col2\" class=\"data row75 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row76\" class=\"row_heading level0 row76\" >76</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row76_col0\" class=\"data row76 col0\" >code_epci</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row76_col1\" class=\"data row76 col1\" >EPCI (code)</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row76_col2\" class=\"data row76 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row77\" class=\"row_heading level0 row77\" >77</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row77_col0\" class=\"data row77 col0\" >nom_dept</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row77_col1\" class=\"data row77 col1\" >department (name)</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row77_col2\" class=\"data row77 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row78\" class=\"row_heading level0 row78\" >78</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row78_col0\" class=\"data row78 col0\" >code_dep</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row78_col1\" class=\"data row78 col1\" >department (code)</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row78_col2\" class=\"data row78 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row79\" class=\"row_heading level0 row79\" >79</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row79_col0\" class=\"data row79 col0\" >nom_reg</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row79_col1\" class=\"data row79 col1\" >region (name)</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row79_col2\" class=\"data row79 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729level0_row80\" class=\"row_heading level0 row80\" >80</th>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row80_col0\" class=\"data row80 col0\" >code_reg</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row80_col1\" class=\"data row80 col1\" >region (code)</td>\n",
" <td id=\"T_6fab2d76_f375_11ea_81aa_0cc47af5c729row80_col2\" class=\"data row80 col2\" >0</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
"<pandas.io.formats.style.Styler at 0x149aede48c90>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Shape is : (29165, 81)\n"
]
}
],
"source": [
"df = pd.read_csv(f'{datasets_dir}/SYNOP/{data_filename}', header=0, sep=';')\n",
"subtitle('Raw data :')\n",
"display(df.tail(10))\n",
"\n",
"# ---- Get the columns name as descriptions\n",
"synop_desc = list(df.columns)\n",
"\n",
"# ---- Set Codes as columns name\n",
"df.columns = synop_codes\n",
"code2desc = dict(zip(synop_codes, synop_desc))\n",
"\n",
"# ---- Count the na values by columns\n",
"columns_na = df.isna().sum().tolist()\n",
"\n",
"# ---- Show all of that\n",
"df_desc=pd.DataFrame({'Code':synop_codes, 'Description':synop_desc, 'Na':columns_na})\n",
"\n",
"subtitle('List of columns :')\n",
"display(df_desc.style.set_properties(**{'text-align': 'left'}))\n",
"\n",
"print('Shape is : ', df.shape)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Step 3 - Keep only certain columns"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/markdown": [
"<br>**Our selected columns :**"
],
"text/plain": [
"<IPython.core.display.Markdown object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"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>pmer</th>\n",
" <th>tend</th>\n",
" <th>cod_tend</th>\n",
" <th>dd</th>\n",
" <th>ff</th>\n",
" <th>td</th>\n",
" <th>u</th>\n",
" <th>ww</th>\n",
" <th>pres</th>\n",
" <th>rafper</th>\n",
" <th>per</th>\n",
" <th>rr1</th>\n",
" <th>rr3</th>\n",
" <th>tc</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2015-06-12T17:00:00+02:00</td>\n",
" <td>101050.0</td>\n",
" <td>-230.0</td>\n",
" <td>6.0</td>\n",
" <td>140.0</td>\n",
" <td>3.6</td>\n",
" <td>286.25</td>\n",
" <td>50.0</td>\n",
" <td>2.0</td>\n",
" <td>98330.0</td>\n",
" <td>5.1</td>\n",
" <td>-10.0</td>\n",
" <td>0.0</td>\n",
" <td>-0.1</td>\n",
" <td>24.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2015-06-05T17:00:00+02:00</td>\n",
" <td>101590.0</td>\n",
" <td>-220.0</td>\n",
" <td>8.0</td>\n",
" <td>190.0</td>\n",
" <td>3.9</td>\n",
" <td>286.95</td>\n",
" <td>32.0</td>\n",
" <td>3.0</td>\n",
" <td>98930.0</td>\n",
" <td>9.9</td>\n",
" <td>-10.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>32.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2015-06-15T11:00:00+02:00</td>\n",
" <td>101420.0</td>\n",
" <td>90.0</td>\n",
" <td>1.0</td>\n",
" <td>270.0</td>\n",
" <td>1.5</td>\n",
" <td>286.85</td>\n",
" <td>64.0</td>\n",
" <td>3.0</td>\n",
" <td>98660.0</td>\n",
" <td>4.5</td>\n",
" <td>-10.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>20.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2015-06-15T14:00:00+02:00</td>\n",
" <td>101430.0</td>\n",
" <td>20.0</td>\n",
" <td>1.0</td>\n",
" <td>10.0</td>\n",
" <td>2.5</td>\n",
" <td>286.45</td>\n",
" <td>55.0</td>\n",
" <td>1.0</td>\n",
" <td>98680.0</td>\n",
" <td>5.1</td>\n",
" <td>-10.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>22.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2015-06-20T05:00:00+02:00</td>\n",
" <td>102030.0</td>\n",
" <td>0.0</td>\n",
" <td>4.0</td>\n",
" <td>50.0</td>\n",
" <td>0.7</td>\n",
" <td>282.95</td>\n",
" <td>82.0</td>\n",
" <td>2.0</td>\n",
" <td>99170.0</td>\n",
" <td>2.4</td>\n",
" <td>-10.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>12.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>2015-06-22T05:00:00+02:00</td>\n",
" <td>101680.0</td>\n",
" <td>-120.0</td>\n",
" <td>6.0</td>\n",
" <td>180.0</td>\n",
" <td>0.7</td>\n",
" <td>286.15</td>\n",
" <td>80.0</td>\n",
" <td>1.0</td>\n",
" <td>98870.0</td>\n",
" <td>4.7</td>\n",
" <td>-10.0</td>\n",
" <td>0.0</td>\n",
" <td>-0.1</td>\n",
" <td>16.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>2015-06-23T02:00:00+02:00</td>\n",
" <td>101270.0</td>\n",
" <td>150.0</td>\n",
" <td>2.0</td>\n",
" <td>20.0</td>\n",
" <td>4.5</td>\n",
" <td>282.95</td>\n",
" <td>54.0</td>\n",
" <td>0.0</td>\n",
" <td>98490.0</td>\n",
" <td>10.2</td>\n",
" <td>-10.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>19.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>2015-06-25T14:00:00+02:00</td>\n",
" <td>102180.0</td>\n",
" <td>-40.0</td>\n",
" <td>8.0</td>\n",
" <td>10.0</td>\n",
" <td>2.3</td>\n",
" <td>283.25</td>\n",
" <td>38.0</td>\n",
" <td>1.0</td>\n",
" <td>99430.0</td>\n",
" <td>7.5</td>\n",
" <td>-10.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>25.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>2015-07-05T20:00:00+02:00</td>\n",
" <td>101410.0</td>\n",
" <td>50.0</td>\n",
" <td>3.0</td>\n",
" <td>190.0</td>\n",
" <td>8.3</td>\n",
" <td>288.05</td>\n",
" <td>33.0</td>\n",
" <td>3.0</td>\n",
" <td>98760.0</td>\n",
" <td>13.4</td>\n",
" <td>-10.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>33.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>2015-05-14T17:00:00+02:00</td>\n",
" <td>101070.0</td>\n",
" <td>-150.0</td>\n",
" <td>6.0</td>\n",
" <td>20.0</td>\n",
" <td>6.2</td>\n",
" <td>284.95</td>\n",
" <td>60.0</td>\n",
" <td>3.0</td>\n",
" <td>98300.0</td>\n",
" <td>11.1</td>\n",
" <td>-10.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>19.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>2015-03-16T22:00:00+01:00</td>\n",
" <td>102150.0</td>\n",
" <td>40.0</td>\n",
" <td>1.0</td>\n",
" <td>50.0</td>\n",
" <td>1.7</td>\n",
" <td>275.05</td>\n",
" <td>62.0</td>\n",
" <td>1.0</td>\n",
" <td>99240.0</td>\n",
" <td>4.6</td>\n",
" <td>-10.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>8.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>2015-03-26T01:00:00+01:00</td>\n",
" <td>101140.0</td>\n",
" <td>100.0</td>\n",
" <td>1.0</td>\n",
" <td>330.0</td>\n",
" <td>5.9</td>\n",
" <td>275.45</td>\n",
" <td>82.0</td>\n",
" <td>1.0</td>\n",
" <td>98220.0</td>\n",
" <td>8.1</td>\n",
" <td>-10.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>5.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>2015-04-03T17:00:00+02:00</td>\n",
" <td>101690.0</td>\n",
" <td>-250.0</td>\n",
" <td>7.0</td>\n",
" <td>340.0</td>\n",
" <td>3.5</td>\n",
" <td>278.15</td>\n",
" <td>55.0</td>\n",
" <td>1.0</td>\n",
" <td>98850.0</td>\n",
" <td>6.4</td>\n",
" <td>-10.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>13.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>2015-04-05T20:00:00+02:00</td>\n",
" <td>101850.0</td>\n",
" <td>140.0</td>\n",
" <td>3.0</td>\n",
" <td>10.0</td>\n",
" <td>7.8</td>\n",
" <td>268.45</td>\n",
" <td>38.0</td>\n",
" <td>1.0</td>\n",
" <td>98950.0</td>\n",
" <td>13.5</td>\n",
" <td>-10.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>8.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>2014-10-22T17:00:00+02:00</td>\n",
" <td>102670.0</td>\n",
" <td>-70.0</td>\n",
" <td>8.0</td>\n",
" <td>20.0</td>\n",
" <td>4.6</td>\n",
" <td>275.35</td>\n",
" <td>55.0</td>\n",
" <td>1.0</td>\n",
" <td>99770.0</td>\n",
" <td>7.2</td>\n",
" <td>-10.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>10.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>2015-02-08T16:00:00+01:00</td>\n",
" <td>102570.0</td>\n",
" <td>20.0</td>\n",
" <td>3.0</td>\n",
" <td>350.0</td>\n",
" <td>12.3</td>\n",
" <td>271.55</td>\n",
" <td>68.0</td>\n",
" <td>0.0</td>\n",
" <td>99590.0</td>\n",
" <td>19.9</td>\n",
" <td>-10.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>3.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>2015-02-11T07:00:00+01:00</td>\n",
" <td>102670.0</td>\n",
" <td>-10.0</td>\n",
" <td>7.0</td>\n",
" <td>290.0</td>\n",
" <td>2.0</td>\n",
" <td>267.55</td>\n",
" <td>88.0</td>\n",
" <td>10.0</td>\n",
" <td>99610.0</td>\n",
" <td>3.3</td>\n",
" <td>-10.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>-3.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>2015-02-07T04:00:00+01:00</td>\n",
" <td>101900.0</td>\n",
" <td>160.0</td>\n",
" <td>1.0</td>\n",
" <td>310.0</td>\n",
" <td>2.0</td>\n",
" <td>268.65</td>\n",
" <td>74.0</td>\n",
" <td>2.0</td>\n",
" <td>98900.0</td>\n",
" <td>3.2</td>\n",
" <td>-10.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>-0.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>2015-02-13T04:00:00+01:00</td>\n",
" <td>102140.0</td>\n",
" <td>-50.0</td>\n",
" <td>8.0</td>\n",
" <td>140.0</td>\n",
" <td>2.1</td>\n",
" <td>273.55</td>\n",
" <td>74.0</td>\n",
" <td>0.0</td>\n",
" <td>99190.0</td>\n",
" <td>4.9</td>\n",
" <td>-10.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>4.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>2015-02-16T19:00:00+01:00</td>\n",
" <td>102060.0</td>\n",
" <td>100.0</td>\n",
" <td>3.0</td>\n",
" <td>20.0</td>\n",
" <td>3.2</td>\n",
" <td>275.65</td>\n",
" <td>88.0</td>\n",
" <td>1.0</td>\n",
" <td>99110.0</td>\n",
" <td>5.1</td>\n",
" <td>-10.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>4.3</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" date pmer tend cod_tend dd ff td \\\n",
"0 2015-06-12T17:00:00+02:00 101050.0 -230.0 6.0 140.0 3.6 286.25 \n",
"1 2015-06-05T17:00:00+02:00 101590.0 -220.0 8.0 190.0 3.9 286.95 \n",
"2 2015-06-15T11:00:00+02:00 101420.0 90.0 1.0 270.0 1.5 286.85 \n",
"3 2015-06-15T14:00:00+02:00 101430.0 20.0 1.0 10.0 2.5 286.45 \n",
"4 2015-06-20T05:00:00+02:00 102030.0 0.0 4.0 50.0 0.7 282.95 \n",
"5 2015-06-22T05:00:00+02:00 101680.0 -120.0 6.0 180.0 0.7 286.15 \n",
"6 2015-06-23T02:00:00+02:00 101270.0 150.0 2.0 20.0 4.5 282.95 \n",
"7 2015-06-25T14:00:00+02:00 102180.0 -40.0 8.0 10.0 2.3 283.25 \n",
"8 2015-07-05T20:00:00+02:00 101410.0 50.0 3.0 190.0 8.3 288.05 \n",
"9 2015-05-14T17:00:00+02:00 101070.0 -150.0 6.0 20.0 6.2 284.95 \n",
"10 2015-03-16T22:00:00+01:00 102150.0 40.0 1.0 50.0 1.7 275.05 \n",
"11 2015-03-26T01:00:00+01:00 101140.0 100.0 1.0 330.0 5.9 275.45 \n",
"12 2015-04-03T17:00:00+02:00 101690.0 -250.0 7.0 340.0 3.5 278.15 \n",
"13 2015-04-05T20:00:00+02:00 101850.0 140.0 3.0 10.0 7.8 268.45 \n",
"14 2014-10-22T17:00:00+02:00 102670.0 -70.0 8.0 20.0 4.6 275.35 \n",
"15 2015-02-08T16:00:00+01:00 102570.0 20.0 3.0 350.0 12.3 271.55 \n",
"16 2015-02-11T07:00:00+01:00 102670.0 -10.0 7.0 290.0 2.0 267.55 \n",
"17 2015-02-07T04:00:00+01:00 101900.0 160.0 1.0 310.0 2.0 268.65 \n",
"18 2015-02-13T04:00:00+01:00 102140.0 -50.0 8.0 140.0 2.1 273.55 \n",
"19 2015-02-16T19:00:00+01:00 102060.0 100.0 3.0 20.0 3.2 275.65 \n",
"\n",
" u ww pres rafper per rr1 rr3 tc \n",
"0 50.0 2.0 98330.0 5.1 -10.0 0.0 -0.1 24.2 \n",
"1 32.0 3.0 98930.0 9.9 -10.0 0.0 0.0 32.6 \n",
"2 64.0 3.0 98660.0 4.5 -10.0 0.0 0.0 20.8 \n",
"3 55.0 1.0 98680.0 5.1 -10.0 0.0 0.0 22.8 \n",
"4 82.0 2.0 99170.0 2.4 -10.0 0.0 0.0 12.8 \n",
"5 80.0 1.0 98870.0 4.7 -10.0 0.0 -0.1 16.5 \n",
"6 54.0 0.0 98490.0 10.2 -10.0 0.0 0.0 19.3 \n",
"7 38.0 1.0 99430.0 7.5 -10.0 0.0 0.0 25.5 \n",
"8 33.0 3.0 98760.0 13.4 -10.0 0.0 0.0 33.4 \n",
"9 60.0 3.0 98300.0 11.1 -10.0 0.0 0.0 19.8 \n",
"10 62.0 1.0 99240.0 4.6 -10.0 0.0 0.0 8.8 \n",
"11 82.0 1.0 98220.0 8.1 -10.0 0.0 0.0 5.1 \n",
"12 55.0 1.0 98850.0 6.4 -10.0 0.0 0.0 13.9 \n",
"13 38.0 1.0 98950.0 13.5 -10.0 0.0 0.0 8.9 \n",
"14 55.0 1.0 99770.0 7.2 -10.0 0.0 0.0 10.9 \n",
"15 68.0 0.0 99590.0 19.9 -10.0 0.0 0.0 3.8 \n",
"16 88.0 10.0 99610.0 3.3 -10.0 0.0 0.0 -3.9 \n",
"17 74.0 2.0 98900.0 3.2 -10.0 0.0 0.0 -0.4 \n",
"18 74.0 0.0 99190.0 4.9 -10.0 0.0 0.0 4.6 \n",
"19 88.0 1.0 99110.0 5.1 -10.0 0.0 0.0 4.3 "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/markdown": [
"<br>**Few statistics :**"
],
"text/plain": [
"<IPython.core.display.Markdown object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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"<div>\n",
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"\n",
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" 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>pmer</th>\n",
" <th>tend</th>\n",
" <th>cod_tend</th>\n",
" <th>dd</th>\n",
" <th>ff</th>\n",
" <th>td</th>\n",
" <th>u</th>\n",
" <th>ww</th>\n",
" <th>pres</th>\n",
" <th>rafper</th>\n",
" <th>per</th>\n",
" <th>rr1</th>\n",
" <th>rr3</th>\n",
" <th>tc</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>29148.000000</td>\n",
" <td>29163.000000</td>\n",
" <td>29163.000000</td>\n",
" <td>29162.000000</td>\n",
" <td>29163.00000</td>\n",
" <td>29148.000000</td>\n",
" <td>29148.000000</td>\n",
" <td>29164.000000</td>\n",
" <td>29165.000000</td>\n",
" <td>29156.000000</td>\n",
" <td>29157.0</td>\n",
" <td>29070.000000</td>\n",
" <td>29092.000000</td>\n",
" <td>29151.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>101753.552902</td>\n",
" <td>0.255118</td>\n",
" <td>4.306930</td>\n",
" <td>204.088197</td>\n",
" <td>3.39653</td>\n",
" <td>280.027865</td>\n",
" <td>71.021614</td>\n",
" <td>10.106158</td>\n",
" <td>98894.598320</td>\n",
" <td>6.299005</td>\n",
" <td>-10.0</td>\n",
" <td>0.092886</td>\n",
" <td>0.279008</td>\n",
" <td>12.688261</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>798.093804</td>\n",
" <td>111.438232</td>\n",
" <td>2.716149</td>\n",
" <td>115.422508</td>\n",
" <td>2.46898</td>\n",
" <td>5.857534</td>\n",
" <td>18.275755</td>\n",
" <td>19.404573</td>\n",
" <td>761.586766</td>\n",
" <td>3.852478</td>\n",
" <td>0.0</td>\n",
" <td>0.605673</td>\n",
" <td>1.414611</td>\n",
" <td>8.146390</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>97960.000000</td>\n",
" <td>-750.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.00000</td>\n",
" <td>249.250000</td>\n",
" <td>2.000000</td>\n",
" <td>0.000000</td>\n",
" <td>95170.000000</td>\n",
" <td>0.000000</td>\n",
" <td>-10.0</td>\n",
" <td>-0.100000</td>\n",
" <td>-0.100000</td>\n",
" <td>-12.100000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>101300.000000</td>\n",
" <td>-70.000000</td>\n",
" <td>2.000000</td>\n",
" <td>130.000000</td>\n",
" <td>1.50000</td>\n",
" <td>275.825000</td>\n",
" <td>58.000000</td>\n",
" <td>2.000000</td>\n",
" <td>98480.000000</td>\n",
" <td>3.600000</td>\n",
" <td>-10.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>6.600000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>101740.000000</td>\n",
" <td>0.000000</td>\n",
" <td>3.000000</td>\n",
" <td>190.000000</td>\n",
" <td>2.90000</td>\n",
" <td>280.250000</td>\n",
" <td>74.000000</td>\n",
" <td>2.000000</td>\n",
" <td>98920.000000</td>\n",
" <td>5.300000</td>\n",
" <td>-10.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>12.500000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>102240.000000</td>\n",
" <td>70.000000</td>\n",
" <td>7.000000</td>\n",
" <td>330.000000</td>\n",
" <td>4.60000</td>\n",
" <td>284.550000</td>\n",
" <td>86.000000</td>\n",
" <td>3.000000</td>\n",
" <td>99360.000000</td>\n",
" <td>8.200000</td>\n",
" <td>-10.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>18.500000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>104280.000000</td>\n",
" <td>810.000000</td>\n",
" <td>8.000000</td>\n",
" <td>360.000000</td>\n",
" <td>18.80000</td>\n",
" <td>295.950000</td>\n",
" <td>100.000000</td>\n",
" <td>97.000000</td>\n",
" <td>101210.000000</td>\n",
" <td>30.200000</td>\n",
" <td>-10.0</td>\n",
" <td>19.000000</td>\n",
" <td>45.000000</td>\n",
" <td>38.900000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" pmer tend cod_tend dd ff \\\n",
"count 29148.000000 29163.000000 29163.000000 29162.000000 29163.00000 \n",
"mean 101753.552902 0.255118 4.306930 204.088197 3.39653 \n",
"std 798.093804 111.438232 2.716149 115.422508 2.46898 \n",
"min 97960.000000 -750.000000 0.000000 0.000000 0.00000 \n",
"25% 101300.000000 -70.000000 2.000000 130.000000 1.50000 \n",
"50% 101740.000000 0.000000 3.000000 190.000000 2.90000 \n",
"75% 102240.000000 70.000000 7.000000 330.000000 4.60000 \n",
"max 104280.000000 810.000000 8.000000 360.000000 18.80000 \n",
"\n",
" td u ww pres rafper \\\n",
"count 29148.000000 29148.000000 29164.000000 29165.000000 29156.000000 \n",
"mean 280.027865 71.021614 10.106158 98894.598320 6.299005 \n",
"std 5.857534 18.275755 19.404573 761.586766 3.852478 \n",
"min 249.250000 2.000000 0.000000 95170.000000 0.000000 \n",
"25% 275.825000 58.000000 2.000000 98480.000000 3.600000 \n",
"50% 280.250000 74.000000 2.000000 98920.000000 5.300000 \n",
"75% 284.550000 86.000000 3.000000 99360.000000 8.200000 \n",
"max 295.950000 100.000000 97.000000 101210.000000 30.200000 \n",
"\n",
" per rr1 rr3 tc \n",
"count 29157.0 29070.000000 29092.000000 29151.000000 \n",
"mean -10.0 0.092886 0.279008 12.688261 \n",
"std 0.0 0.605673 1.414611 8.146390 \n",
"min -10.0 -0.100000 -0.100000 -12.100000 \n",
"25% -10.0 0.000000 0.000000 6.600000 \n",
"50% -10.0 0.000000 0.000000 12.500000 \n",
"75% -10.0 0.000000 0.000000 18.500000 \n",
"max -10.0 19.000000 45.000000 38.900000 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"columns_used=['date','pmer','tend','cod_tend','dd','ff','td','u','ww','pres','rafper','per','rr1','rr3','tc']\n",
"\n",
"# ---- Drop unused columns\n",
"\n",
"to_drop = df.columns.difference(columns_used)\n",
"df.drop( to_drop, axis=1, inplace=True)\n",
"\n",
"# ---- Show all of that\n",
"\n",
"subtitle('Our selected columns :')\n",
"display(df.head(20))\n",
"\n",
"subtitle('Few statistics :')\n",
"display(df.describe())\n",
"\n",
"# ---- 'per' column is constant, we can drop it\n",
"\n",
"df.drop(['per'],axis=1,inplace=True)\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Step 4 - Cleanup session : Let's sort it and cook up some NaN values"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/markdown": [
"<br>**Before :**"
],
"text/plain": [
"<IPython.core.display.Markdown object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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"<div>\n",
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" <th></th>\n",
" <th>date</th>\n",
" <th>pmer</th>\n",
" <th>tend</th>\n",
" <th>cod_tend</th>\n",
" <th>dd</th>\n",
" <th>ff</th>\n",
" <th>td</th>\n",
" <th>u</th>\n",
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" <th>tc</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>396</th>\n",
" <td>2010-02-19T16:00:00+01:00</td>\n",
" <td>99760.0</td>\n",
" <td>180.0</td>\n",
" <td>3.0</td>\n",
" <td>330.0</td>\n",
" <td>4.6</td>\n",
" <td>275.85</td>\n",
" <td>79.0</td>\n",
" <td>21.0</td>\n",
" <td>96890.0</td>\n",
" <td>NaN</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>6.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>434</th>\n",
" <td>2010-02-24T10:00:00+01:00</td>\n",
" <td>100310.0</td>\n",
" <td>60.0</td>\n",
" <td>1.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>279.25</td>\n",
" <td>77.0</td>\n",
" <td>2.0</td>\n",
" <td>97470.0</td>\n",
" <td>NaN</td>\n",
" <td>0.2</td>\n",
" <td>0.2</td>\n",
" <td>9.9</td>\n",
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" <tr>\n",
" <th>477</th>\n",
" <td>2010-03-01T19:00:00+01:00</td>\n",
" <td>101400.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>340.0</td>\n",
" <td>2.6</td>\n",
" <td>275.45</td>\n",
" <td>61.0</td>\n",
" <td>2.0</td>\n",
" <td>98520.0</td>\n",
" <td>5.7</td>\n",
" <td>0.0</td>\n",
" <td>NaN</td>\n",
" <td>9.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>734</th>\n",
" <td>2010-04-03T02:00:00+02:00</td>\n",
" <td>101550.0</td>\n",
" <td>50.0</td>\n",
" <td>0.0</td>\n",
" <td>190.0</td>\n",
" <td>7.7</td>\n",
" <td>277.55</td>\n",
" <td>64.0</td>\n",
" <td>2.0</td>\n",
" <td>98680.0</td>\n",
" <td>12.3</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>10.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1061</th>\n",
" <td>2010-05-13T23:00:00+02:00</td>\n",
" <td>NaN</td>\n",
" <td>60.0</td>\n",
" <td>2.0</td>\n",
" <td>330.0</td>\n",
" <td>4.6</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2.0</td>\n",
" <td>98220.0</td>\n",
" <td>7.7</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>9.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1063</th>\n",
" <td>2010-05-14T05:00:00+02:00</td>\n",
" <td>NaN</td>\n",
" <td>-50.0</td>\n",
" <td>5.0</td>\n",
" <td>350.0</td>\n",
" <td>4.1</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2.0</td>\n",
" <td>98110.0</td>\n",
" <td>7.2</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>8.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1064</th>\n",
" <td>2010-05-14T08:00:00+02:00</td>\n",
" <td>NaN</td>\n",
" <td>0.0</td>\n",
" <td>5.0</td>\n",
" <td>350.0</td>\n",
" <td>4.6</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2.0</td>\n",
" <td>98110.0</td>\n",
" <td>6.7</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>8.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2268</th>\n",
" <td>2010-10-11T20:00:00+02:00</td>\n",
" <td>NaN</td>\n",
" <td>150.0</td>\n",
" <td>2.0</td>\n",
" <td>10.0</td>\n",
" <td>1.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2.0</td>\n",
" <td>98060.0</td>\n",
" <td>3.1</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2269</th>\n",
" <td>2010-10-11T23:00:00+02:00</td>\n",
" <td>NaN</td>\n",
" <td>130.0</td>\n",
" <td>3.0</td>\n",
" <td>80.0</td>\n",
" <td>1.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2.0</td>\n",
" <td>98190.0</td>\n",
" <td>2.6</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2270</th>\n",
" <td>2010-10-12T02:00:00+02:00</td>\n",
" <td>NaN</td>\n",
" <td>70.0</td>\n",
" <td>1.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>2.0</td>\n",
" <td>98260.0</td>\n",
" <td>1.5</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
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"</table>\n",
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],
"text/plain": [
" date pmer tend cod_tend dd ff \\\n",
"396 2010-02-19T16:00:00+01:00 99760.0 180.0 3.0 330.0 4.6 \n",
"434 2010-02-24T10:00:00+01:00 100310.0 60.0 1.0 NaN NaN \n",
"477 2010-03-01T19:00:00+01:00 101400.0 NaN NaN 340.0 2.6 \n",
"734 2010-04-03T02:00:00+02:00 101550.0 50.0 0.0 190.0 7.7 \n",
"1061 2010-05-13T23:00:00+02:00 NaN 60.0 2.0 330.0 4.6 \n",
"1063 2010-05-14T05:00:00+02:00 NaN -50.0 5.0 350.0 4.1 \n",
"1064 2010-05-14T08:00:00+02:00 NaN 0.0 5.0 350.0 4.6 \n",
"2268 2010-10-11T20:00:00+02:00 NaN 150.0 2.0 10.0 1.0 \n",
"2269 2010-10-11T23:00:00+02:00 NaN 130.0 3.0 80.0 1.0 \n",
"2270 2010-10-12T02:00:00+02:00 NaN 70.0 1.0 0.0 0.0 \n",
"\n",
" td u ww pres rafper rr1 rr3 tc \n",
"396 275.85 79.0 21.0 96890.0 NaN 0.0 1.0 6.1 \n",
"434 279.25 77.0 2.0 97470.0 NaN 0.2 0.2 9.9 \n",
"477 275.45 61.0 2.0 98520.0 5.7 0.0 NaN 9.4 \n",
"734 277.55 64.0 2.0 98680.0 12.3 NaN NaN 10.9 \n",
"1061 NaN NaN 2.0 98220.0 7.7 0.0 0.0 9.9 \n",
"1063 NaN NaN 2.0 98110.0 7.2 0.0 0.0 8.1 \n",
"1064 NaN NaN 2.0 98110.0 6.7 0.0 0.0 8.1 \n",
"2268 NaN NaN 2.0 98060.0 3.1 NaN NaN NaN \n",
"2269 NaN NaN 2.0 98190.0 2.6 NaN NaN NaN \n",
"2270 NaN NaN 2.0 98260.0 1.5 NaN NaN NaN "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/markdown": [
"<br>**After :**"
],
"text/plain": [
"<IPython.core.display.Markdown object>"
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" date pmer tend cod_tend dd ff \\\n",
"396 2010-02-19T16:00:00+01:00 99760.000000 180.0 3.0 330.0 4.60 \n",
"434 2010-02-24T10:00:00+01:00 100310.000000 60.0 1.0 170.0 4.15 \n",
"477 2010-03-01T19:00:00+01:00 101400.000000 195.0 4.0 340.0 2.60 \n",
"734 2010-04-03T02:00:00+02:00 101550.000000 50.0 0.0 190.0 7.70 \n",
"1061 2010-05-13T23:00:00+02:00 101020.000000 60.0 2.0 330.0 4.60 \n",
"1063 2010-05-14T05:00:00+02:00 101040.000000 -50.0 5.0 350.0 4.10 \n",
"1064 2010-05-14T08:00:00+02:00 101040.000000 0.0 5.0 350.0 4.60 \n",
"2268 2010-10-11T20:00:00+02:00 100786.666667 150.0 2.0 10.0 1.00 \n",
"2269 2010-10-11T23:00:00+02:00 100863.333333 130.0 3.0 80.0 1.00 \n",
"2270 2010-10-12T02:00:00+02:00 100940.000000 70.0 1.0 0.0 0.00 \n",
"\n",
" td u ww pres rafper rr1 rr3 tc \n",
"396 275.85 79.000000 21.0 96890.0 8.25 0.0 1.0 6.10 \n",
"434 279.25 77.000000 2.0 97470.0 6.65 0.2 0.2 9.90 \n",
"477 275.45 61.000000 2.0 98520.0 5.70 0.0 0.5 9.40 \n",
"734 277.55 64.000000 2.0 98680.0 12.30 0.0 0.0 10.90 \n",
"1061 281.25 86.500000 2.0 98220.0 7.70 0.0 0.0 9.90 \n",
"1063 279.15 80.666667 2.0 98110.0 7.20 0.0 0.0 8.10 \n",
"1064 279.35 79.333333 2.0 98110.0 6.70 0.0 0.0 8.10 \n",
"2268 284.75 83.333333 2.0 98060.0 3.10 0.0 0.0 14.45 \n",
"2269 284.45 84.666667 2.0 98190.0 2.60 0.0 0.0 13.90 \n",
"2270 284.15 86.000000 2.0 98260.0 1.50 0.0 0.0 13.35 "
]
},
"metadata": {},
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],
"source": [
"# ---- First of all, we have to sort on the date\n",
"\n",
"df.sort_values(['date'], inplace=True)\n",
"df.reset_index(drop=True, inplace=True)\n",
"\n",
"# ---- Before : Lines with NaN\n",
"\n",
"na_rows=df.isna().any(axis=1)\n",
"subtitle('Before :')\n",
"display( df[na_rows].head(10) )\n",
"\n",
"# ---- Nice interpolation for plugging holes\n",
"\n",
"df.interpolate(inplace=True)\n",
"\n",
"# ---- After\n",
"\n",
"subtitle('After :')\n",
"display(df[na_rows].head(10))\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Step 5 - Final dataset\n",
"### 5.1 - Summarize it"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/markdown": [
"<br>**Dataset columns :**"
],
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"<IPython.core.display.Markdown object>"
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" <td id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729row0_col1\" class=\"data row0 col1\" >Date</td>\n",
" <td id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729row0_col2\" class=\"data row0 col2\" >0</td>\n",
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" <td id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729row1_col2\" class=\"data row1 col2\" >0</td>\n",
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" <td id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729row2_col1\" class=\"data row2 col1\" >Variation de pression en 3 heures</td>\n",
" <td id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729row2_col2\" class=\"data row2 col2\" >0</td>\n",
" </tr>\n",
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" <td id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729row3_col2\" class=\"data row3 col2\" >0</td>\n",
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" <th id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
" <td id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729row4_col0\" class=\"data row4 col0\" >dd</td>\n",
" <td id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729row4_col1\" class=\"data row4 col1\" >Direction du vent moyen 10 mn</td>\n",
" <td id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729row4_col2\" class=\"data row4 col2\" >0</td>\n",
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" <td id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729row5_col1\" class=\"data row5 col1\" >Vitesse du vent moyen 10 mn</td>\n",
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" <td id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729row6_col1\" class=\"data row6 col1\" >Point de rosée</td>\n",
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" <td id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729row7_col0\" class=\"data row7 col0\" >u</td>\n",
" <td id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729row7_col1\" class=\"data row7 col1\" >Humidité</td>\n",
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" </tr>\n",
" <tr>\n",
" <th id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
" <td id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729row8_col0\" class=\"data row8 col0\" >ww</td>\n",
" <td id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729row8_col1\" class=\"data row8 col1\" >Temps présent</td>\n",
" <td id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729row8_col2\" class=\"data row8 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
" <td id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729row9_col0\" class=\"data row9 col0\" >pres</td>\n",
" <td id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729row9_col1\" class=\"data row9 col1\" >Pression station</td>\n",
" <td id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729row9_col2\" class=\"data row9 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729level0_row10\" class=\"row_heading level0 row10\" >10</th>\n",
" <td id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729row10_col0\" class=\"data row10 col0\" >rafper</td>\n",
" <td id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729row10_col1\" class=\"data row10 col1\" >Rafales sur une période</td>\n",
" <td id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729row10_col2\" class=\"data row10 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729level0_row11\" class=\"row_heading level0 row11\" >11</th>\n",
" <td id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729row11_col0\" class=\"data row11 col0\" >rr1</td>\n",
" <td id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729row11_col1\" class=\"data row11 col1\" >Précipitations dans la dernière heure</td>\n",
" <td id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729row11_col2\" class=\"data row11 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729level0_row12\" class=\"row_heading level0 row12\" >12</th>\n",
" <td id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729row12_col0\" class=\"data row12 col0\" >rr3</td>\n",
" <td id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729row12_col1\" class=\"data row12 col1\" >Précipitations dans les 3 dernières heures</td>\n",
" <td id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729row12_col2\" class=\"data row12 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729level0_row13\" class=\"row_heading level0 row13\" >13</th>\n",
" <td id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729row13_col0\" class=\"data row13 col0\" >tc</td>\n",
" <td id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729row13_col1\" class=\"data row13 col1\" >Température (°C)</td>\n",
" <td id=\"T_82e7d984_f375_11ea_81aa_0cc47af5c729row13_col2\" class=\"data row13 col2\" >0</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
"<pandas.io.formats.style.Styler at 0x149aede4d090>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/markdown": [
"<br>**Have a look :**"
],
"text/plain": [
"<IPython.core.display.Markdown object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>date</th>\n",
" <th>pmer</th>\n",
" <th>tend</th>\n",
" <th>cod_tend</th>\n",
" <th>dd</th>\n",
" <th>ff</th>\n",
" <th>td</th>\n",
" <th>u</th>\n",
" <th>ww</th>\n",
" <th>pres</th>\n",
" <th>rafper</th>\n",
" <th>rr1</th>\n",
" <th>rr3</th>\n",
" <th>tc</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>29145</th>\n",
" <td>2020-02-24T13:00:00+01:00</td>\n",
" <td>102380.0</td>\n",
" <td>-220.0</td>\n",
" <td>8.0</td>\n",
" <td>120.0</td>\n",
" <td>1.6</td>\n",
" <td>281.15</td>\n",
" <td>59.0</td>\n",
" <td>0.0</td>\n",
" <td>99540.0</td>\n",
" <td>3.7</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>16.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29146</th>\n",
" <td>2020-02-24T16:00:00+01:00</td>\n",
" <td>101990.0</td>\n",
" <td>-350.0</td>\n",
" <td>6.0</td>\n",
" <td>110.0</td>\n",
" <td>1.6</td>\n",
" <td>281.55</td>\n",
" <td>50.0</td>\n",
" <td>3.0</td>\n",
" <td>99190.0</td>\n",
" <td>3.3</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>19.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29147</th>\n",
" <td>2020-02-24T19:00:00+01:00</td>\n",
" <td>101800.0</td>\n",
" <td>-220.0</td>\n",
" <td>6.0</td>\n",
" <td>150.0</td>\n",
" <td>2.9</td>\n",
" <td>280.05</td>\n",
" <td>55.0</td>\n",
" <td>3.0</td>\n",
" <td>98970.0</td>\n",
" <td>4.1</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>15.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29148</th>\n",
" <td>2020-02-24T22:00:00+01:00</td>\n",
" <td>101740.0</td>\n",
" <td>-80.0</td>\n",
" <td>6.0</td>\n",
" <td>170.0</td>\n",
" <td>1.8</td>\n",
" <td>280.35</td>\n",
" <td>67.0</td>\n",
" <td>2.0</td>\n",
" <td>98890.0</td>\n",
" <td>4.3</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>13.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29149</th>\n",
" <td>2020-02-25T01:00:00+01:00</td>\n",
" <td>101640.0</td>\n",
" <td>-150.0</td>\n",
" <td>8.0</td>\n",
" <td>170.0</td>\n",
" <td>2.5</td>\n",
" <td>278.85</td>\n",
" <td>83.0</td>\n",
" <td>2.0</td>\n",
" <td>98740.0</td>\n",
" <td>4.7</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>8.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29150</th>\n",
" <td>2020-02-25T04:00:00+01:00</td>\n",
" <td>101450.0</td>\n",
" <td>-200.0</td>\n",
" <td>6.0</td>\n",
" <td>150.0</td>\n",
" <td>3.7</td>\n",
" <td>277.75</td>\n",
" <td>87.0</td>\n",
" <td>2.0</td>\n",
" <td>98540.0</td>\n",
" <td>4.8</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>6.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29151</th>\n",
" <td>2020-02-25T07:00:00+01:00</td>\n",
" <td>101530.0</td>\n",
" <td>60.0</td>\n",
" <td>3.0</td>\n",
" <td>30.0</td>\n",
" <td>4.0</td>\n",
" <td>276.95</td>\n",
" <td>92.0</td>\n",
" <td>3.0</td>\n",
" <td>98600.0</td>\n",
" <td>6.1</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>5.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29152</th>\n",
" <td>2020-02-25T10:00:00+01:00</td>\n",
" <td>101490.0</td>\n",
" <td>-20.0</td>\n",
" <td>8.0</td>\n",
" <td>200.0</td>\n",
" <td>1.8</td>\n",
" <td>277.55</td>\n",
" <td>87.0</td>\n",
" <td>3.0</td>\n",
" <td>98580.0</td>\n",
" <td>5.5</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>6.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29153</th>\n",
" <td>2020-02-25T13:00:00+01:00</td>\n",
" <td>101330.0</td>\n",
" <td>-140.0</td>\n",
" <td>8.0</td>\n",
" <td>150.0</td>\n",
" <td>3.8</td>\n",
" <td>278.95</td>\n",
" <td>85.0</td>\n",
" <td>21.0</td>\n",
" <td>98440.0</td>\n",
" <td>7.1</td>\n",
" <td>0.6</td>\n",
" <td>2.0</td>\n",
" <td>8.2</td>\n",
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" <tr>\n",
" <th>29154</th>\n",
" <td>2020-02-25T16:00:00+01:00</td>\n",
" <td>100990.0</td>\n",
" <td>-290.0</td>\n",
" <td>6.0</td>\n",
" <td>140.0</td>\n",
" <td>4.4</td>\n",
" <td>279.55</td>\n",
" <td>69.0</td>\n",
" <td>3.0</td>\n",
" <td>98150.0</td>\n",
" <td>7.2</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>11.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29155</th>\n",
" <td>2020-02-25T19:00:00+01:00</td>\n",
" <td>100910.0</td>\n",
" <td>-90.0</td>\n",
" <td>5.0</td>\n",
" <td>260.0</td>\n",
" <td>4.3</td>\n",
" <td>278.95</td>\n",
" <td>69.0</td>\n",
" <td>25.0</td>\n",
" <td>98060.0</td>\n",
" <td>8.4</td>\n",
" <td>-0.1</td>\n",
" <td>-0.1</td>\n",
" <td>11.3</td>\n",
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" <tr>\n",
" <th>29156</th>\n",
" <td>2020-02-25T22:00:00+01:00</td>\n",
" <td>100980.0</td>\n",
" <td>60.0</td>\n",
" <td>3.0</td>\n",
" <td>280.0</td>\n",
" <td>8.0</td>\n",
" <td>273.65</td>\n",
" <td>51.0</td>\n",
" <td>1.0</td>\n",
" <td>98120.0</td>\n",
" <td>11.3</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>10.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29157</th>\n",
" <td>2020-02-26T01:00:00+01:00</td>\n",
" <td>101040.0</td>\n",
" <td>30.0</td>\n",
" <td>2.0</td>\n",
" <td>230.0</td>\n",
" <td>2.8</td>\n",
" <td>275.65</td>\n",
" <td>69.0</td>\n",
" <td>25.0</td>\n",
" <td>98150.0</td>\n",
" <td>10.7</td>\n",
" <td>-0.1</td>\n",
" <td>-0.1</td>\n",
" <td>7.8</td>\n",
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" <tr>\n",
" <th>29158</th>\n",
" <td>2020-02-26T04:00:00+01:00</td>\n",
" <td>101060.0</td>\n",
" <td>-10.0</td>\n",
" <td>8.0</td>\n",
" <td>230.0</td>\n",
" <td>3.0</td>\n",
" <td>275.85</td>\n",
" <td>86.0</td>\n",
" <td>25.0</td>\n",
" <td>98140.0</td>\n",
" <td>13.6</td>\n",
" <td>0.4</td>\n",
" <td>1.8</td>\n",
" <td>4.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29159</th>\n",
" <td>2020-02-26T07:00:00+01:00</td>\n",
" <td>100940.0</td>\n",
" <td>-110.0</td>\n",
" <td>6.0</td>\n",
" <td>210.0</td>\n",
" <td>3.3</td>\n",
" <td>274.85</td>\n",
" <td>78.0</td>\n",
" <td>21.0</td>\n",
" <td>98030.0</td>\n",
" <td>7.4</td>\n",
" <td>-0.1</td>\n",
" <td>-0.1</td>\n",
" <td>5.2</td>\n",
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" <tr>\n",
" <th>29160</th>\n",
" <td>2020-02-26T10:00:00+01:00</td>\n",
" <td>101100.0</td>\n",
" <td>160.0</td>\n",
" <td>3.0</td>\n",
" <td>230.0</td>\n",
" <td>6.8</td>\n",
" <td>274.45</td>\n",
" <td>74.0</td>\n",
" <td>1.0</td>\n",
" <td>98190.0</td>\n",
" <td>10.0</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>5.6</td>\n",
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" <tr>\n",
" <th>29161</th>\n",
" <td>2020-02-26T13:00:00+01:00</td>\n",
" <td>101200.0</td>\n",
" <td>100.0</td>\n",
" <td>3.0</td>\n",
" <td>310.0</td>\n",
" <td>10.3</td>\n",
" <td>270.55</td>\n",
" <td>52.0</td>\n",
" <td>1.0</td>\n",
" <td>98290.0</td>\n",
" <td>19.5</td>\n",
" <td>0.0</td>\n",
" <td>-0.1</td>\n",
" <td>6.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29162</th>\n",
" <td>2020-02-26T16:00:00+01:00</td>\n",
" <td>101290.0</td>\n",
" <td>100.0</td>\n",
" <td>3.0</td>\n",
" <td>310.0</td>\n",
" <td>8.9</td>\n",
" <td>270.55</td>\n",
" <td>47.0</td>\n",
" <td>1.0</td>\n",
" <td>98390.0</td>\n",
" <td>14.3</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>8.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29163</th>\n",
" <td>2020-02-26T19:00:00+01:00</td>\n",
" <td>101550.0</td>\n",
" <td>230.0</td>\n",
" <td>2.0</td>\n",
" <td>300.0</td>\n",
" <td>2.8</td>\n",
" <td>272.05</td>\n",
" <td>64.0</td>\n",
" <td>1.0</td>\n",
" <td>98620.0</td>\n",
" <td>7.4</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>5.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29164</th>\n",
" <td>2020-02-26T22:00:00+01:00</td>\n",
" <td>101780.0</td>\n",
" <td>200.0</td>\n",
" <td>2.0</td>\n",
" <td>50.0</td>\n",
" <td>3.2</td>\n",
" <td>274.05</td>\n",
" <td>84.0</td>\n",
" <td>1.0</td>\n",
" <td>98820.0</td>\n",
" <td>8.2</td>\n",
" <td>0.0</td>\n",
" <td>0.0</td>\n",
" <td>3.3</td>\n",
" </tr>\n",
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],
"text/plain": [
" date pmer tend cod_tend dd ff \\\n",
"29145 2020-02-24T13:00:00+01:00 102380.0 -220.0 8.0 120.0 1.6 \n",
"29146 2020-02-24T16:00:00+01:00 101990.0 -350.0 6.0 110.0 1.6 \n",
"29147 2020-02-24T19:00:00+01:00 101800.0 -220.0 6.0 150.0 2.9 \n",
"29148 2020-02-24T22:00:00+01:00 101740.0 -80.0 6.0 170.0 1.8 \n",
"29149 2020-02-25T01:00:00+01:00 101640.0 -150.0 8.0 170.0 2.5 \n",
"29150 2020-02-25T04:00:00+01:00 101450.0 -200.0 6.0 150.0 3.7 \n",
"29151 2020-02-25T07:00:00+01:00 101530.0 60.0 3.0 30.0 4.0 \n",
"29152 2020-02-25T10:00:00+01:00 101490.0 -20.0 8.0 200.0 1.8 \n",
"29153 2020-02-25T13:00:00+01:00 101330.0 -140.0 8.0 150.0 3.8 \n",
"29154 2020-02-25T16:00:00+01:00 100990.0 -290.0 6.0 140.0 4.4 \n",
"29155 2020-02-25T19:00:00+01:00 100910.0 -90.0 5.0 260.0 4.3 \n",
"29156 2020-02-25T22:00:00+01:00 100980.0 60.0 3.0 280.0 8.0 \n",
"29157 2020-02-26T01:00:00+01:00 101040.0 30.0 2.0 230.0 2.8 \n",
"29158 2020-02-26T04:00:00+01:00 101060.0 -10.0 8.0 230.0 3.0 \n",
"29159 2020-02-26T07:00:00+01:00 100940.0 -110.0 6.0 210.0 3.3 \n",
"29160 2020-02-26T10:00:00+01:00 101100.0 160.0 3.0 230.0 6.8 \n",
"29161 2020-02-26T13:00:00+01:00 101200.0 100.0 3.0 310.0 10.3 \n",
"29162 2020-02-26T16:00:00+01:00 101290.0 100.0 3.0 310.0 8.9 \n",
"29163 2020-02-26T19:00:00+01:00 101550.0 230.0 2.0 300.0 2.8 \n",
"29164 2020-02-26T22:00:00+01:00 101780.0 200.0 2.0 50.0 3.2 \n",
"\n",
" td u ww pres rafper rr1 rr3 tc \n",
"29145 281.15 59.0 0.0 99540.0 3.7 0.0 0.0 16.0 \n",
"29146 281.55 50.0 3.0 99190.0 3.3 0.0 0.0 19.1 \n",
"29147 280.05 55.0 3.0 98970.0 4.1 0.0 0.0 15.9 \n",
"29148 280.35 67.0 2.0 98890.0 4.3 0.0 0.0 13.2 \n",
"29149 278.85 83.0 2.0 98740.0 4.7 0.0 0.0 8.4 \n",
"29150 277.75 87.0 2.0 98540.0 4.8 0.0 0.0 6.6 \n",
"29151 276.95 92.0 3.0 98600.0 6.1 0.0 0.0 5.0 \n",
"29152 277.55 87.0 3.0 98580.0 5.5 0.0 0.0 6.4 \n",
"29153 278.95 85.0 21.0 98440.0 7.1 0.6 2.0 8.2 \n",
"29154 279.55 69.0 3.0 98150.0 7.2 0.0 0.0 11.9 \n",
"29155 278.95 69.0 25.0 98060.0 8.4 -0.1 -0.1 11.3 \n",
"29156 273.65 51.0 1.0 98120.0 11.3 0.0 0.0 10.2 \n",
"29157 275.65 69.0 25.0 98150.0 10.7 -0.1 -0.1 7.8 \n",
"29158 275.85 86.0 25.0 98140.0 13.6 0.4 1.8 4.8 \n",
"29159 274.85 78.0 21.0 98030.0 7.4 -0.1 -0.1 5.2 \n",
"29160 274.45 74.0 1.0 98190.0 10.0 0.0 0.0 5.6 \n",
"29161 270.55 52.0 1.0 98290.0 19.5 0.0 -0.1 6.6 \n",
"29162 270.55 47.0 1.0 98390.0 14.3 0.0 0.0 8.0 \n",
"29163 272.05 64.0 1.0 98620.0 7.4 0.0 0.0 5.2 \n",
"29164 274.05 84.0 1.0 98820.0 8.2 0.0 0.0 3.3 "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Shape is : (29165, 14)\n"
]
}
],
"source": [
"# ---- Count the na values by columns\n",
"dataset_na = df.isna().sum().tolist()\n",
"dataset_cols = df.columns.tolist()\n",
"dataset_desc = [ code2desc[c] for c in dataset_cols ]\n",
"\n",
"# ---- Show all of that\n",
"df_desc=pd.DataFrame({'Columns':dataset_cols, 'Description':dataset_desc, 'Na':dataset_na})\n",
"subtitle('Dataset columns :')\n",
"display(df_desc.style.set_properties(**{'text-align': 'left'}))\n",
"\n",
"subtitle('Have a look :')\n",
"display(df.tail(20))\n",
"print('Shape is : ', df.shape)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 5.2 - Have a look (1 month)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 864x4320 with 13 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"i=random.randint(0,len(df)-240)\n",
"df.iloc[i:i+240].plot(subplots=True, figsize=(12,60))\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Step 3 - Save it"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Dataset saved.\n",
"Synop description saved.\n"
]
}
],
"source": [
"\n",
"dataset_name='synop-LYS.csv'\n",
"dataset_desc='synop.json'\n",
"\n",
"# ---- Uncomment to save in global datasets dir, PLEASE DON'T DO THIS DURING FORMATION !\n",
"#\n",
"#output_dir=f'{datasets_dir/SYNOP}'\n",
"\n",
"# ---- Uncomment to save in a local test place\n",
"#\n",
"output_dir='./data'\n",
"ooo.mkdir('./data')\n",
"\n",
"# ---- Save it\n",
"#\n",
"df.to_csv(f'{output_dir}/{dataset_name}', sep=';', index=False)\n",
"print('Dataset saved.')\n",
"\n",
"with open(f'{output_dir}/{dataset_desc}', 'w', encoding='utf-8') as f:\n",
" json.dump(code2desc, f, indent=4)\n",
"print('Synop description saved.')\n",
" "
]
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