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"<img width=\"800px\" src=\"../fidle/img/00-Fidle-header-01.svg\"></img>\n",
"\n",
"# <!-- TITLE --> [SYNOP1] - Preaparation 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,
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"text": [
"\n",
"FIDLE 2020 - Practical Work Module\n",
"Version : 0.4.4\n",
"Run time : Saturday 29 February 2020, 17:20:30\n",
"TensorFlow version : 2.0.0\n",
"Keras version : 2.2.4-tf\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",
"\n",
"from importlib import reload\n",
"\n",
"sys.path.append('..')\n",
"import fidle.pwk as ooo\n",
"from fidle.pwk import subtitle\n",
"\n",
"ooo.init()\n",
"pd.set_option('display.max_rows',200)\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### 1.2 - Where are we ? "
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Well, we should be at GRICAD !\n",
"We are going to use: /bettik/PROJECTS/pr-fidle/datasets/SYNOP\n"
]
}
],
"source": [
"place, dataset_dir = ooo.good_place( { 'GRICAD' : f'{os.getenv(\"SCRATCH_DIR\",\"\")}/PROJECTS/pr-fidle/datasets/SYNOP',\n",
" 'IDRIS' : f'{os.getenv(\"WORK\",\"\")}/datasets/SYNOP',\n",
" 'HOME' : f'{os.getenv(\"HOME\",\"\")}/datasets/SYNOP'} )"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Step 2 - Read the data"
]
},
{
"cell_type": "code",
"execution_count": 3,
"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": 4,
"metadata": {},
"outputs": [],
"source": [
"with open(f'{dataset_dir}/{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": [
{
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" <td>Auvergne-Rhône-Alpes</td>\n",
" <td>84</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29161</th>\n",
" <td>7481</td>\n",
" <td>2020-02-15T16:00:00+01:00</td>\n",
" <td>102190.0</td>\n",
" <td>-160.0</td>\n",
" <td>6.0</td>\n",
" <td>180.0</td>\n",
" <td>6.9</td>\n",
" <td>290.15</td>\n",
" <td>273.75</td>\n",
" <td>33.0</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>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",
"</div>"
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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_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow32_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow32_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow32_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow33_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow33_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow33_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow34_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow34_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow34_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow35_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow35_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow35_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow36_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow36_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow36_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow37_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow37_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow37_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow38_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow38_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow38_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow39_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow39_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow39_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow40_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow40_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow40_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow41_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow41_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow41_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow42_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow42_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow42_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow43_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow43_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow43_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow44_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow44_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow44_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow45_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow45_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow45_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow46_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow46_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow46_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow47_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow47_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow47_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow48_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow48_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow48_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow49_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow49_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow49_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow50_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow50_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow50_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow51_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow51_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow51_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow52_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow52_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow52_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow53_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow53_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow53_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow54_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow54_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow54_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow55_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow55_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow55_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow56_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow56_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow56_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow57_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow57_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow57_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow58_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow58_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow58_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow59_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow59_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow59_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow60_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow60_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow60_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow61_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow61_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow61_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow62_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow62_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow62_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow63_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow63_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow63_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow64_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow64_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow64_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow65_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow65_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow65_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow66_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow66_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow66_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow67_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow67_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow67_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow68_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow68_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow68_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow69_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow69_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow69_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow70_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow70_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow70_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow71_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow71_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow71_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow72_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow72_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow72_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow73_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow73_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow73_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow74_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow74_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow74_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow75_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow75_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow75_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow76_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow76_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow76_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow77_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow77_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow77_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow78_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow78_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow78_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow79_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow79_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow79_col2 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow80_col0 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow80_col1 {\n",
" text-align: left;\n",
" } #T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow80_col2 {\n",
" text-align: left;\n",
" }</style><table id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeb\" ><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_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow0_col0\" class=\"data row0 col0\" >numer_sta</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow0_col1\" class=\"data row0 col1\" >ID OMM station</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow0_col2\" class=\"data row0 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow1_col0\" class=\"data row1 col0\" >date</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow1_col1\" class=\"data row1 col1\" >Date</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow1_col2\" class=\"data row1 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow2_col0\" class=\"data row2 col0\" >pmer</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow2_col1\" class=\"data row2 col1\" >Pression au niveau mer</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow2_col2\" class=\"data row2 col2\" >17</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow3_col0\" class=\"data row3 col0\" >tend</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow3_col1\" class=\"data row3 col1\" >Variation de pression en 3 heures</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow3_col2\" class=\"data row3 col2\" >2</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow4_col0\" class=\"data row4 col0\" >cod_tend</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow4_col1\" class=\"data row4 col1\" >Type de tendance barométrique</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow4_col2\" class=\"data row4 col2\" >2</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow5_col0\" class=\"data row5 col0\" >dd</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow5_col1\" class=\"data row5 col1\" >Direction du vent moyen 10 mn</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow5_col2\" class=\"data row5 col2\" >3</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow6_col0\" class=\"data row6 col0\" >ff</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow6_col1\" class=\"data row6 col1\" >Vitesse du vent moyen 10 mn</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow6_col2\" class=\"data row6 col2\" >2</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow7_col0\" class=\"data row7 col0\" >t</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow7_col1\" class=\"data row7 col1\" >Température</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow7_col2\" class=\"data row7 col2\" >14</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow8_col0\" class=\"data row8 col0\" >td</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow8_col1\" class=\"data row8 col1\" >Point de rosée</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow8_col2\" class=\"data row8 col2\" >17</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow9_col0\" class=\"data row9 col0\" >u</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow9_col1\" class=\"data row9 col1\" >Humidité</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow9_col2\" class=\"data row9 col2\" >17</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row10\" class=\"row_heading level0 row10\" >10</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow10_col0\" class=\"data row10 col0\" >vv</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow10_col1\" class=\"data row10 col1\" >Visibilité horizontale</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow10_col2\" class=\"data row10 col2\" >31</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row11\" class=\"row_heading level0 row11\" >11</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow11_col0\" class=\"data row11 col0\" >ww</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow11_col1\" class=\"data row11 col1\" >Temps présent</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow11_col2\" class=\"data row11 col2\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row12\" class=\"row_heading level0 row12\" >12</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow12_col0\" class=\"data row12 col0\" >w1</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow12_col1\" class=\"data row12 col1\" >Temps passé 1</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow12_col2\" class=\"data row12 col2\" >542</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row13\" class=\"row_heading level0 row13\" >13</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow13_col0\" class=\"data row13 col0\" >w2</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow13_col1\" class=\"data row13 col1\" >Temps passé 2</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow13_col2\" class=\"data row13 col2\" >552</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row14\" class=\"row_heading level0 row14\" >14</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow14_col0\" class=\"data row14 col0\" >n</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow14_col1\" class=\"data row14 col1\" >Nebulosité totale</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow14_col2\" class=\"data row14 col2\" >801</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row15\" class=\"row_heading level0 row15\" >15</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow15_col0\" class=\"data row15 col0\" >nbas</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow15_col1\" class=\"data row15 col1\" >Nébulosité des nuages de l' étage inférieur</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow15_col2\" class=\"data row15 col2\" >2381</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row16\" class=\"row_heading level0 row16\" >16</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow16_col0\" class=\"data row16 col0\" >hbas</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow16_col1\" class=\"data row16 col1\" >Hauteur de la base des nuages de l'étage inférieur</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow16_col2\" class=\"data row16 col2\" >8861</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row17\" class=\"row_heading level0 row17\" >17</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow17_col0\" class=\"data row17 col0\" >cl</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow17_col1\" class=\"data row17 col1\" >Type des nuages de l'étage inférieur</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow17_col2\" class=\"data row17 col2\" >3377</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row18\" class=\"row_heading level0 row18\" >18</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow18_col0\" class=\"data row18 col0\" >cm</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow18_col1\" class=\"data row18 col1\" >Type des nuages de l'étage moyen</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow18_col2\" class=\"data row18 col2\" >6912</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row19\" class=\"row_heading level0 row19\" >19</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow19_col0\" class=\"data row19 col0\" >ch</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow19_col1\" class=\"data row19 col1\" >Type des nuages de l'étage supérieur</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow19_col2\" class=\"data row19 col2\" >8494</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row20\" class=\"row_heading level0 row20\" >20</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow20_col0\" class=\"data row20 col0\" >pres</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow20_col1\" class=\"data row20 col1\" >Pression station</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow20_col2\" class=\"data row20 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row21\" class=\"row_heading level0 row21\" >21</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow21_col0\" class=\"data row21 col0\" >niv_bar</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow21_col1\" class=\"data row21 col1\" >Niveau barométrique</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow21_col2\" class=\"data row21 col2\" >29165</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row22\" class=\"row_heading level0 row22\" >22</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow22_col0\" class=\"data row22 col0\" >geop</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow22_col1\" class=\"data row22 col1\" >Géopotentiel</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow22_col2\" class=\"data row22 col2\" >29165</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row23\" class=\"row_heading level0 row23\" >23</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow23_col0\" class=\"data row23 col0\" >tend24</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow23_col1\" class=\"data row23 col1\" >Variation de pression en 24 heures</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow23_col2\" class=\"data row23 col2\" >14443</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row24\" class=\"row_heading level0 row24\" >24</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow24_col0\" class=\"data row24 col0\" >tn12</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow24_col1\" class=\"data row24 col1\" >Température minimale sur 12 heures</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow24_col2\" class=\"data row24 col2\" >21883</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row25\" class=\"row_heading level0 row25\" >25</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow25_col0\" class=\"data row25 col0\" >tn24</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow25_col1\" class=\"data row25 col1\" >Température minimale sur 24 heures</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow25_col2\" class=\"data row25 col2\" >29165</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row26\" class=\"row_heading level0 row26\" >26</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow26_col0\" class=\"data row26 col0\" >tx12</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow26_col1\" class=\"data row26 col1\" >Température maximale sur 12 heures</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow26_col2\" class=\"data row26 col2\" >21883</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row27\" class=\"row_heading level0 row27\" >27</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow27_col0\" class=\"data row27 col0\" >tx24</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow27_col1\" class=\"data row27 col1\" >Température maximale sur 24 heures</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow27_col2\" class=\"data row27 col2\" >29165</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row28\" class=\"row_heading level0 row28\" >28</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow28_col0\" class=\"data row28 col0\" >tminsol</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow28_col1\" class=\"data row28 col1\" >Température minimale du sol sur 12 heures</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow28_col2\" class=\"data row28 col2\" >27364</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row29\" class=\"row_heading level0 row29\" >29</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow29_col0\" class=\"data row29 col0\" >sw</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow29_col1\" class=\"data row29 col1\" >Méthode de mesure Température du thermomètre mouillé</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow29_col2\" class=\"data row29 col2\" >29165</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row30\" class=\"row_heading level0 row30\" >30</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow30_col0\" class=\"data row30 col0\" >tw</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow30_col1\" class=\"data row30 col1\" >Température du thermomètre mouillé</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow30_col2\" class=\"data row30 col2\" >29165</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row31\" class=\"row_heading level0 row31\" >31</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow31_col0\" class=\"data row31 col0\" >raf10</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow31_col1\" class=\"data row31 col1\" >Rafale sur les 10 dernières minutes</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow31_col2\" class=\"data row31 col2\" >14127</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row32\" class=\"row_heading level0 row32\" >32</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow32_col0\" class=\"data row32 col0\" >rafper</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow32_col1\" class=\"data row32 col1\" >Rafales sur une période</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow32_col2\" class=\"data row32 col2\" >9</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row33\" class=\"row_heading level0 row33\" >33</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow33_col0\" class=\"data row33 col0\" >per</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow33_col1\" class=\"data row33 col1\" >Periode de mesure de la rafale</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow33_col2\" class=\"data row33 col2\" >8</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row34\" class=\"row_heading level0 row34\" >34</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow34_col0\" class=\"data row34 col0\" >etat_sol</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow34_col1\" class=\"data row34 col1\" >Etat du sol</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow34_col2\" class=\"data row34 col2\" >12278</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row35\" class=\"row_heading level0 row35\" >35</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow35_col0\" class=\"data row35 col0\" >ht_neige</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow35_col1\" class=\"data row35 col1\" >Hauteur totale de la couche de neige, glace, autre au sol</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow35_col2\" class=\"data row35 col2\" >12083</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row36\" class=\"row_heading level0 row36\" >36</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow36_col0\" class=\"data row36 col0\" >ssfrai</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow36_col1\" class=\"data row36 col1\" >Hauteur de la neige fraîche</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow36_col2\" class=\"data row36 col2\" >2914</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row37\" class=\"row_heading level0 row37\" >37</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow37_col0\" class=\"data row37 col0\" >perssfrai</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow37_col1\" class=\"data row37 col1\" >Periode de mesure de la neige fraiche</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow37_col2\" class=\"data row37 col2\" >4489</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row38\" class=\"row_heading level0 row38\" >38</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow38_col0\" class=\"data row38 col0\" >rr1</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow38_col1\" class=\"data row38 col1\" >Précipitations dans la dernière heure</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow38_col2\" class=\"data row38 col2\" >95</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row39\" class=\"row_heading level0 row39\" >39</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow39_col0\" class=\"data row39 col0\" >rr3</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow39_col1\" class=\"data row39 col1\" >Précipitations dans les 3 dernières heures</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow39_col2\" class=\"data row39 col2\" >73</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row40\" class=\"row_heading level0 row40\" >40</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow40_col0\" class=\"data row40 col0\" >rr6</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow40_col1\" class=\"data row40 col1\" >Précipitations dans les 6 dernières heures</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow40_col2\" class=\"data row40 col2\" >10869</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row41\" class=\"row_heading level0 row41\" >41</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow41_col0\" class=\"data row41 col0\" >rr12</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow41_col1\" class=\"data row41 col1\" >Précipitations dans les 12 dernières heures</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow41_col2\" class=\"data row41 col2\" >10919</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row42\" class=\"row_heading level0 row42\" >42</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow42_col0\" class=\"data row42 col0\" >rr24</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow42_col1\" class=\"data row42 col1\" >Précipitations dans les 24 dernières heures</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow42_col2\" class=\"data row42 col2\" >12730</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row43\" class=\"row_heading level0 row43\" >43</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow43_col0\" class=\"data row43 col0\" >phenspe1</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow43_col1\" class=\"data row43 col1\" >Phénomène spécial 1</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow43_col2\" class=\"data row43 col2\" >14818</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row44\" class=\"row_heading level0 row44\" >44</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow44_col0\" class=\"data row44 col0\" >phenspe2</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow44_col1\" class=\"data row44 col1\" >Phénomène spécial 2</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow44_col2\" class=\"data row44 col2\" >14826</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row45\" class=\"row_heading level0 row45\" >45</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow45_col0\" class=\"data row45 col0\" >phenspe3</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow45_col1\" class=\"data row45 col1\" >Phénomène spécial 3</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow45_col2\" class=\"data row45 col2\" >15515</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row46\" class=\"row_heading level0 row46\" >46</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow46_col0\" class=\"data row46 col0\" >phenspe4</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow46_col1\" class=\"data row46 col1\" >Phénomène spécial 4</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow46_col2\" class=\"data row46 col2\" >28869</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row47\" class=\"row_heading level0 row47\" >47</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow47_col0\" class=\"data row47 col0\" >nnuage1</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow47_col1\" class=\"data row47 col1\" >Nébulosité couche nuageuse 1</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow47_col2\" class=\"data row47 col2\" >4753</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row48\" class=\"row_heading level0 row48\" >48</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow48_col0\" class=\"data row48 col0\" >ctype1</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow48_col1\" class=\"data row48 col1\" >Type nuage 1</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow48_col2\" class=\"data row48 col2\" >5699</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row49\" class=\"row_heading level0 row49\" >49</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow49_col0\" class=\"data row49 col0\" >hnuage1</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow49_col1\" class=\"data row49 col1\" >Hauteur de base 1</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow49_col2\" class=\"data row49 col2\" >5439</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row50\" class=\"row_heading level0 row50\" >50</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow50_col0\" class=\"data row50 col0\" >nnuage2</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow50_col1\" class=\"data row50 col1\" >Nébulosité couche nuageuse 2</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow50_col2\" class=\"data row50 col2\" >16112</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row51\" class=\"row_heading level0 row51\" >51</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow51_col0\" class=\"data row51 col0\" >ctype2</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow51_col1\" class=\"data row51 col1\" >Type nuage 2</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow51_col2\" class=\"data row51 col2\" >16643</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row52\" class=\"row_heading level0 row52\" >52</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow52_col0\" class=\"data row52 col0\" >hnuage2</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow52_col1\" class=\"data row52 col1\" >Hauteur de base 2</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow52_col2\" class=\"data row52 col2\" >16317</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row53\" class=\"row_heading level0 row53\" >53</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow53_col0\" class=\"data row53 col0\" >nnuage3</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow53_col1\" class=\"data row53 col1\" >Nébulosité couche nuageuse 3</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow53_col2\" class=\"data row53 col2\" >25387</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row54\" class=\"row_heading level0 row54\" >54</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow54_col0\" class=\"data row54 col0\" >ctype3</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow54_col1\" class=\"data row54 col1\" >Type nuage 3</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow54_col2\" class=\"data row54 col2\" >25642</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row55\" class=\"row_heading level0 row55\" >55</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow55_col0\" class=\"data row55 col0\" >hnuage3</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow55_col1\" class=\"data row55 col1\" >Hauteur de base 3</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow55_col2\" class=\"data row55 col2\" >25431</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row56\" class=\"row_heading level0 row56\" >56</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow56_col0\" class=\"data row56 col0\" >nnuage4</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow56_col1\" class=\"data row56 col1\" >Nébulosité couche nuageuse 4</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow56_col2\" class=\"data row56 col2\" >28850</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row57\" class=\"row_heading level0 row57\" >57</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow57_col0\" class=\"data row57 col0\" >ctype4</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow57_col1\" class=\"data row57 col1\" >Type nuage 4</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow57_col2\" class=\"data row57 col2\" >28780</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row58\" class=\"row_heading level0 row58\" >58</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow58_col0\" class=\"data row58 col0\" >hnuage4</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow58_col1\" class=\"data row58 col1\" >Hauteur de base 4</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow58_col2\" class=\"data row58 col2\" >28850</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row59\" class=\"row_heading level0 row59\" >59</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow59_col0\" class=\"data row59 col0\" >coordonnees</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow59_col1\" class=\"data row59 col1\" >Coordonnees</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow59_col2\" class=\"data row59 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row60\" class=\"row_heading level0 row60\" >60</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow60_col0\" class=\"data row60 col0\" >nom</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow60_col1\" class=\"data row60 col1\" >Nom</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow60_col2\" class=\"data row60 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row61\" class=\"row_heading level0 row61\" >61</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow61_col0\" class=\"data row61 col0\" >type_de_tendance_barometrique</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow61_col1\" class=\"data row61 col1\" >Type de tendance barométrique.1</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow61_col2\" class=\"data row61 col2\" >2</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row62\" class=\"row_heading level0 row62\" >62</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow62_col0\" class=\"data row62 col0\" >temps_passe_1</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow62_col1\" class=\"data row62 col1\" >Temps passé 1.1</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow62_col2\" class=\"data row62 col2\" >542</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row63\" class=\"row_heading level0 row63\" >63</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow63_col0\" class=\"data row63 col0\" >temps_present</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow63_col1\" class=\"data row63 col1\" >Temps présent.1</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow63_col2\" class=\"data row63 col2\" >1</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row64\" class=\"row_heading level0 row64\" >64</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow64_col0\" class=\"data row64 col0\" >tc</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow64_col1\" class=\"data row64 col1\" >Température (°C)</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow64_col2\" class=\"data row64 col2\" >14</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row65\" class=\"row_heading level0 row65\" >65</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow65_col0\" class=\"data row65 col0\" >tn12c</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow65_col1\" class=\"data row65 col1\" >Température minimale sur 12 heures (°C)</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow65_col2\" class=\"data row65 col2\" >21883</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row66\" class=\"row_heading level0 row66\" >66</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow66_col0\" class=\"data row66 col0\" >tn24c</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow66_col1\" class=\"data row66 col1\" >Température minimale sur 24 heures (°C)</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow66_col2\" class=\"data row66 col2\" >29165</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row67\" class=\"row_heading level0 row67\" >67</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow67_col0\" class=\"data row67 col0\" >tx12c</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow67_col1\" class=\"data row67 col1\" >Température maximale sur 12 heures (°C)</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow67_col2\" class=\"data row67 col2\" >21883</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row68\" class=\"row_heading level0 row68\" >68</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow68_col0\" class=\"data row68 col0\" >tx24c</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow68_col1\" class=\"data row68 col1\" >Température maximale sur 24 heures (°C)</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow68_col2\" class=\"data row68 col2\" >29165</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row69\" class=\"row_heading level0 row69\" >69</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow69_col0\" class=\"data row69 col0\" >tminsolc</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow69_col1\" class=\"data row69 col1\" >Température minimale du sol sur 12 heures (en °C)</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow69_col2\" class=\"data row69 col2\" >27364</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row70\" class=\"row_heading level0 row70\" >70</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow70_col0\" class=\"data row70 col0\" >altitude</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow70_col1\" class=\"data row70 col1\" >Altitude</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow70_col2\" class=\"data row70 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row71\" class=\"row_heading level0 row71\" >71</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow71_col0\" class=\"data row71 col0\" >longitude</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow71_col1\" class=\"data row71 col1\" >Longitude</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow71_col2\" class=\"data row71 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row72\" class=\"row_heading level0 row72\" >72</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow72_col0\" class=\"data row72 col0\" >latitude</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow72_col1\" class=\"data row72 col1\" >Latitude</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow72_col2\" class=\"data row72 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row73\" class=\"row_heading level0 row73\" >73</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow73_col0\" class=\"data row73 col0\" >libgeo</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow73_col1\" class=\"data row73 col1\" >communes (name)</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow73_col2\" class=\"data row73 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row74\" class=\"row_heading level0 row74\" >74</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow74_col0\" class=\"data row74 col0\" >codegeo</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow74_col1\" class=\"data row74 col1\" >communes (code)</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow74_col2\" class=\"data row74 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row75\" class=\"row_heading level0 row75\" >75</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow75_col0\" class=\"data row75 col0\" >nom_epci</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow75_col1\" class=\"data row75 col1\" >EPCI (name)</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow75_col2\" class=\"data row75 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row76\" class=\"row_heading level0 row76\" >76</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow76_col0\" class=\"data row76 col0\" >code_epci</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow76_col1\" class=\"data row76 col1\" >EPCI (code)</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow76_col2\" class=\"data row76 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row77\" class=\"row_heading level0 row77\" >77</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow77_col0\" class=\"data row77 col0\" >nom_dept</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow77_col1\" class=\"data row77 col1\" >department (name)</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow77_col2\" class=\"data row77 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row78\" class=\"row_heading level0 row78\" >78</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow78_col0\" class=\"data row78 col0\" >code_dep</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow78_col1\" class=\"data row78 col1\" >department (code)</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow78_col2\" class=\"data row78 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row79\" class=\"row_heading level0 row79\" >79</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow79_col0\" class=\"data row79 col0\" >nom_reg</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow79_col1\" class=\"data row79 col1\" >region (name)</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow79_col2\" class=\"data row79 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eeblevel0_row80\" class=\"row_heading level0 row80\" >80</th>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow80_col0\" class=\"data row80 col0\" >code_reg</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow80_col1\" class=\"data row80 col1\" >region (code)</td>\n",
" <td id=\"T_67bd8d6a_5b0f_11ea_9093_7504dab42eebrow80_col2\" class=\"data row80 col2\" >0</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
"<pandas.io.formats.style.Styler at 0x7ff8e0ed7690>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Shape is : (29165, 81)\n"
]
}
],
"source": [
"df = pd.read_csv(f'{dataset_dir}/{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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"</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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" <th>tend</th>\n",
" <th>cod_tend</th>\n",
" <th>dd</th>\n",
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" <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",
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" <td>0.0</td>\n",
" <td>1.0</td>\n",
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" <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",
" </tr>\n",
" <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",
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" <td>10.0</td>\n",
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" <td>NaN</td>\n",
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" <td>98190.0</td>\n",
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" <td>NaN</td>\n",
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" <th>2270</th>\n",
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" <td>98260.0</td>\n",
" <td>1.5</td>\n",
" <td>NaN</td>\n",
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" 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 "
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"data": {
"text/markdown": [
"<br>**After :**"
],
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" date pmer tend cod_tend dd ff \\\n",
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"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",
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"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",
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"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 - Finalize it"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/markdown": [
"<br>**Dataset columns :**"
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" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow0_col0\" class=\"data row0 col0\" >date</td>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow0_col1\" class=\"data row0 col1\" >Date</td>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow0_col2\" class=\"data row0 col2\" >0</td>\n",
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" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow1_col0\" class=\"data row1 col0\" >pmer</td>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow1_col1\" class=\"data row1 col1\" >Pression au niveau mer</td>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow1_col2\" class=\"data row1 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_689614a0_5b0f_11ea_9093_7504dab42eeblevel0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow2_col0\" class=\"data row2 col0\" >tend</td>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow2_col1\" class=\"data row2 col1\" >Variation de pression en 3 heures</td>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow2_col2\" class=\"data row2 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_689614a0_5b0f_11ea_9093_7504dab42eeblevel0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow3_col0\" class=\"data row3 col0\" >cod_tend</td>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow3_col1\" class=\"data row3 col1\" >Type de tendance barométrique</td>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow3_col2\" class=\"data row3 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_689614a0_5b0f_11ea_9093_7504dab42eeblevel0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow4_col0\" class=\"data row4 col0\" >dd</td>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow4_col1\" class=\"data row4 col1\" >Direction du vent moyen 10 mn</td>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow4_col2\" class=\"data row4 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_689614a0_5b0f_11ea_9093_7504dab42eeblevel0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow5_col0\" class=\"data row5 col0\" >ff</td>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow5_col1\" class=\"data row5 col1\" >Vitesse du vent moyen 10 mn</td>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow5_col2\" class=\"data row5 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_689614a0_5b0f_11ea_9093_7504dab42eeblevel0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow6_col0\" class=\"data row6 col0\" >td</td>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow6_col1\" class=\"data row6 col1\" >Point de rosée</td>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow6_col2\" class=\"data row6 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_689614a0_5b0f_11ea_9093_7504dab42eeblevel0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow7_col0\" class=\"data row7 col0\" >u</td>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow7_col1\" class=\"data row7 col1\" >Humidité</td>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow7_col2\" class=\"data row7 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_689614a0_5b0f_11ea_9093_7504dab42eeblevel0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow8_col0\" class=\"data row8 col0\" >ww</td>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow8_col1\" class=\"data row8 col1\" >Temps présent</td>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow8_col2\" class=\"data row8 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_689614a0_5b0f_11ea_9093_7504dab42eeblevel0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow9_col0\" class=\"data row9 col0\" >pres</td>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow9_col1\" class=\"data row9 col1\" >Pression station</td>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow9_col2\" class=\"data row9 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_689614a0_5b0f_11ea_9093_7504dab42eeblevel0_row10\" class=\"row_heading level0 row10\" >10</th>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow10_col0\" class=\"data row10 col0\" >rafper</td>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow10_col1\" class=\"data row10 col1\" >Rafales sur une période</td>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow10_col2\" class=\"data row10 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_689614a0_5b0f_11ea_9093_7504dab42eeblevel0_row11\" class=\"row_heading level0 row11\" >11</th>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow11_col0\" class=\"data row11 col0\" >rr1</td>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow11_col1\" class=\"data row11 col1\" >Précipitations dans la dernière heure</td>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow11_col2\" class=\"data row11 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_689614a0_5b0f_11ea_9093_7504dab42eeblevel0_row12\" class=\"row_heading level0 row12\" >12</th>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow12_col0\" class=\"data row12 col0\" >rr3</td>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow12_col1\" class=\"data row12 col1\" >Précipitations dans les 3 dernières heures</td>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow12_col2\" class=\"data row12 col2\" >0</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_689614a0_5b0f_11ea_9093_7504dab42eeblevel0_row13\" class=\"row_heading level0 row13\" >13</th>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow13_col0\" class=\"data row13 col0\" >tc</td>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow13_col1\" class=\"data row13 col1\" >Température (°C)</td>\n",
" <td id=\"T_689614a0_5b0f_11ea_9093_7504dab42eebrow13_col2\" class=\"data row13 col2\" >0</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
"<pandas.io.formats.style.Styler at 0x7ff8e1020d50>"
]
},
"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",
" 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>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",
" </tr>\n",
" <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",
" </tr>\n",
" <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",
" </tr>\n",
" <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",
" </tr>\n",
" <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",
" </tr>\n",
" <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",
" </tbody>\n",
"</table>\n",
"</div>"
],
"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": [
"df.iloc[10000:10000+240].plot(subplots=True, figsize=(12,60))\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Step 3 - Save it"
]
},
{
"cell_type": "code",
"execution_count": 10,
"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",
"df.to_csv(f'{dataset_dir}/{dataset_name}', sep=';', index=False)\n",
"print('Dataset saved.')\n",
"\n",
"with open(f'{dataset_dir}/{dataset_desc}', 'w', encoding='utf-8') as f:\n",
" json.dump(code2desc, f, indent=4)\n",
"print('Synop description saved.')\n",
" "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"---\n",
"<img width=\"80px\" src=\"../fidle/img/00-Fidle-logo-01.svg\"></img>"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 4
}