From 8627a71c7ee172081a752467d6de383ae45c04c4 Mon Sep 17 00:00:00 2001 From: Jean-Luc Parouty <Jean-Luc.Parouty@grenoble-inp.fr> Date: Sat, 6 Mar 2021 11:22:34 +0100 Subject: [PATCH] Add ladybug example ;-) --- SYNOP/00-Beta-series.ipynb | 802 ++++++++++++++ SYNOP/01-Preparation-of-data.ipynb | 1662 ++++++++++++++-------------- 2 files changed, 1621 insertions(+), 843 deletions(-) create mode 100644 SYNOP/00-Beta-series.ipynb diff --git a/SYNOP/00-Beta-series.ipynb b/SYNOP/00-Beta-series.ipynb new file mode 100644 index 0000000..a0451e8 --- /dev/null +++ b/SYNOP/00-Beta-series.ipynb @@ -0,0 +1,802 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "<img width=\"800px\" src=\"../fidle/img/00-Fidle-header-01.svg\"></img>\n", + "\n", + "# <!-- TITLE --> [SYNOP2] - First predictions at 3h\n", + "<!-- DESC --> Episode 2 : Learning session and weather prediction attempt at 3h\n", + "<!-- AUTHOR : Jean-Luc Parouty (CNRS/SIMaP) -->\n", + "\n", + "## Objectives :\n", + " - Make a simple prediction (3h)\n", + " - Understanding the use of a recurrent neural network\n", + "\n", + "\n", + "SYNOP meteorological data, available at: https://public.opendatasoft.com\n", + "\n", + "## What we're going to do :\n", + "\n", + " - Read our dataset\n", + " - Select our data and normalize it\n", + " - Doing our training\n", + " - Making simple predictions\n", + "\n", + "## Step 1 - Import and init\n", + "### 1.1 - Python" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "<style>\n", + "\n", + "div.warn { \n", + " background-color: #fcf2f2;\n", + " border-color: #dFb5b4;\n", + " border-left: 5px solid #dfb5b4;\n", + " padding: 0.5em;\n", + " font-weight: bold;\n", + " font-size: 1.1em;;\n", + " }\n", + "\n", + "\n", + "\n", + "div.nota { \n", + " background-color: #DAFFDE;\n", + " border-left: 5px solid #92CC99;\n", + " padding: 0.5em;\n", + " }\n", + "\n", + "div.todo:before { content:url(data:image/svg+xml;base64,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);\n", + " float:left;\n", + " margin-right:20px;\n", + " margin-top:-20px;\n", + " margin-bottom:20px;\n", + "}\n", + "div.todo{\n", + " font-weight: bold;\n", + " font-size: 1.1em;\n", + " margin-top:40px;\n", + "}\n", + "div.todo ul{\n", + " margin: 0.2em;\n", + "}\n", + "div.todo li{\n", + " margin-left:60px;\n", + " margin-top:0;\n", + " margin-bottom:0;\n", + "}\n", + "\n", + "div .comment{\n", + " font-size:0.8em;\n", + " color:#696969;\n", + "}\n", + "\n", + "\n", + "\n", + "</style>\n", + "\n" + ], + "text/plain": [ + "<IPython.core.display.HTML object>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/markdown": [ + "<br>**FIDLE 2020 - Practical Work Module**" + ], + "text/plain": [ + "<IPython.core.display.Markdown object>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Version : 2.0.17\n", + "Notebook id : SYNOP2\n", + "Run time : Saturday 06 March 2021, 09:53:24\n", + "TensorFlow version : 2.2.0\n", + "Keras version : 2.3.0-tf\n", + "Datasets dir : /home/pjluc/datasets/fidle\n", + "Run dir : ./run\n", + "Update keras cache : False\n" + ] + } + ], + "source": [ + "import tensorflow as tf\n", + "from tensorflow import keras\n", + "from tensorflow.keras.callbacks import TensorBoard\n", + "from tensorflow.keras.preprocessing.sequence import TimeseriesGenerator\n", + "\n", + "import numpy as np\n", + "import math, random\n", + "from math import sin,cos,pi\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 pwk\n", + "\n", + "datasets_dir = pwk.init('SYNOP2')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 1.2 - Parameters" + ] + }, + { + "cell_type": "code", + "execution_count": 481, + "metadata": {}, + "outputs": [], + "source": [ + "# ---- About dataset\n", + "#\n", + "max_t = 100\n", + "delta_t = 0.01\n", + "\n", + "\n", + "sequence_len = 40\n", + "predict_len = 10\n", + "features_len = 2\n", + "\n", + "# ---- About training\n", + "#\n", + "scale = 1 # Percentage of dataset to be used (1=all)\n", + "train_prop = .8 # Percentage for train (the rest being for the test)\n", + "batch_size = 32\n", + "epochs = 10" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Override parameters (batch mode) - Just forget this cell" + ] + }, + { + "cell_type": "code", + "execution_count": 475, + "metadata": {}, + "outputs": [], + "source": [ + "pwk.override('scale', 'train_prop', 'sequence_len', 'batch_size', 'epochs')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Step 2 - Generation of a fun dataset\n", + "### 2.1 - Moving our ladybug" + ] + }, + { + "cell_type": "code", + "execution_count": 476, + "metadata": {}, + "outputs": [], + "source": [ + "def lady_move(t):\n", + " \n", + " # ---- Init parameters (first time)\n", + " #\n", + " if t==0:\n", + " lady_move.params_x=[ random.gauss(.2,.5) for u in range(8)]\n", + " lady_move.params_y=[ random.gauss(.2,.5) for u in range(8)]\n", + "\n", + " # --- Retrieve parameters\n", + " #\n", + " [ax1, ax2, ax3, ax4, kx1, kx2, kx3, kx4] = lady_move.params_x\n", + " [ay1, ay2, ay3, ay4, ky1, ky2, ky3, ky4] = lady_move.params_y\n", + " \n", + " dx = ( ax1*sin(t*pi/kx1) + ax2*cos(t*pi/kx2) + ax3*sin(t*pi/kx3) + ax4*cos(t*pi/kx4) )/20\n", + " dy = ( ay1*sin(t*pi/ky1) + ay2*cos(t*pi/ky2) + ay3*sin(t*pi/ky3) + ay4*cos(t*pi/ky4) )/20\n", + " return dx,dy" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2.2 - Get some positions, and build dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 477, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Train shape is : (8000, 2)\n", + "Test shape is : (2000, 2)\n" + ] + } + ], + "source": [ + "# ---- Get positions\n", + "#\n", + "x,y = 0,0\n", + "positions=[]\n", + "for t in np.arange(0., max_t, delta_t):\n", + " positions.append([x,y])\n", + " dx,dy = lady_move(t)\n", + " (x,y) = (x+dx, y+dy)\n", + "\n", + "# ---- Build dataset\n", + "#\n", + "dataset = np.array(positions)\n", + "\n", + "k = int(len(dataset)*train_prop)\n", + "x_train = dataset[:k]\n", + "x_test = dataset[k:]\n", + "\n", + "# ---- Normalize\n", + "#\n", + "mean = x_train.mean()\n", + "std = x_train.std()\n", + "x_train = (x_train - mean) / std\n", + "x_test = (x_test - mean) / std\n", + "\n", + "print(\"Train shape is : \", x_train.shape)\n", + "print(\"Test shape is : \", x_test.shape)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2.3 - Have a look" + ] + }, + { + "cell_type": "code", + "execution_count": 478, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "<Figure size 576x576 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "x,y=x_train[:1000,0],x_train[:1000,1]\n", + "x1,y1= x_train.min(axis=0)\n", + "x2,y2= x_train.max(axis=0)\n", + "\n", + "fig = plt.figure(figsize=(8,8))\n", + "\n", + "ax = plt.axes()\n", + "ax.plot(x, y, '-')\n", + "ax.set_xlim(x1,x2)\n", + "ax.set_ylim(y1,y2)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 479, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "<Figure size 576x576 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "k1,k2 = sequence_len, predict_len\n", + "i = random.randint(0,len(x_test)-k1-k2)\n", + "j=i+k1\n", + "\n", + "x,y=x_test[i:i+k1,0],x_test[i:i+k1,1]\n", + "u,v=x_test[j:j+k2,0],x_test[j:j+k2,1]\n", + "\n", + "fig = plt.figure(figsize=(8,8))\n", + "\n", + "ax = plt.axes()\n", + "ax.plot(x, y,'.', alpha=0.5)\n", + "ax.plot(u, v,'.', alpha=0.5)\n", + "ax.set_xlim(x1,x2)\n", + "ax.set_ylim(y1,y2)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2.2 - Prepare data generator" + ] + }, + { + "cell_type": "code", + "execution_count": 480, + "metadata": {}, + "outputs": [ + { + "data": { + "text/markdown": [ + "<br>**About the splitting of our dataset :**" + ], + "text/plain": [ + "<IPython.core.display.Markdown object>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Nombre de train batchs disponibles : 249\n", + "batch x shape : (32, 40, 2)\n", + "batch y shape : (32, 2)\n" + ] + }, + { + "data": { + "text/markdown": [ + "<br>**What a batch looks like (x) :**" + ], + "text/plain": [ + "<IPython.core.display.Markdown object>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[ 0.908 0.908]\n", + " [ 0.984 0.848]\n", + " [ 1.054 0.787]\n", + " [ 1.117 0.728]\n", + " [ 1.172 0.67 ]\n", + " [ 1.218 0.615]\n", + " [ 1.253 0.563]\n", + " [ 1.276 0.516]\n", + " [ 1.286 0.473]\n", + " [ 1.283 0.436]\n", + " [ 1.266 0.405]\n", + " [ 1.235 0.381]\n", + " [ 1.192 0.364]\n", + " [ 1.135 0.354]\n", + " [ 1.067 0.351]\n", + " [ 0.987 0.356]\n", + " [ 0.898 0.369]\n", + " [ 0.8 0.39 ]\n", + " [ 0.696 0.417]\n", + " [ 0.587 0.451]\n", + " [ 0.475 0.492]\n", + " [ 0.36 0.538]\n", + " [ 0.246 0.589]\n", + " [ 0.134 0.644]\n", + " [ 0.025 0.701]\n", + " [-0.079 0.761]\n", + " [-0.178 0.821]\n", + " [-0.27 0.881]\n", + " [-0.355 0.939]\n", + " [-0.432 0.994]\n", + " [-0.501 1.045]\n", + " [-0.562 1.091]\n", + " [-0.616 1.131]\n", + " [-0.663 1.164]\n", + " [-0.704 1.188]\n", + " [-0.74 1.204]\n", + " [-0.772 1.21 ]\n", + " [-0.801 1.207]\n", + " [-0.829 1.193]\n", + " [-0.857 1.17 ]]\n" + ] + }, + { + "data": { + "text/markdown": [ + "<br>**What a batch looks like (y) :**" + ], + "text/plain": [ + "<IPython.core.display.Markdown object>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[-0.886 1.137]\n" + ] + } + ], + "source": [ + "# ---- Train generator\n", + "train_generator = TimeseriesGenerator(x_train, x_train, length=sequence_len, batch_size=batch_size)\n", + "test_generator = TimeseriesGenerator(x_test, x_test, length=sequence_len, batch_size=batch_size)\n", + "\n", + "# ---- About\n", + "\n", + "pwk.subtitle('About the splitting of our dataset :')\n", + "\n", + "x,y=train_generator[0]\n", + "print(f'Nombre de train batchs disponibles : ', len(train_generator))\n", + "print('batch x shape : ',x.shape)\n", + "print('batch y shape : ',y.shape)\n", + "\n", + "x,y=train_generator[0]\n", + "pwk.subtitle('What a batch looks like (x) :')\n", + "pwk.np_print(x[0] )\n", + "pwk.subtitle('What a batch looks like (y) :')\n", + "pwk.np_print(y[0])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Step 3 - Create a model" + ] + }, + { + "cell_type": "code", + "execution_count": 482, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model: \"sequential\"\n", + "_________________________________________________________________\n", + "Layer (type) Output Shape Param # \n", + "=================================================================\n", + "lstm (LSTM) (None, 100) 41200 \n", + "_________________________________________________________________\n", + "dropout (Dropout) (None, 100) 0 \n", + "_________________________________________________________________\n", + "dense (Dense) (None, 2) 202 \n", + "=================================================================\n", + "Total params: 41,402\n", + "Trainable params: 41,402\n", + "Non-trainable params: 0\n", + "_________________________________________________________________\n" + ] + } + ], + "source": [ + "model = keras.models.Sequential()\n", + "model.add( keras.layers.InputLayer(input_shape=(sequence_len, features_len)) )\n", + "model.add( keras.layers.LSTM(100, activation='relu') )\n", + "model.add( keras.layers.Dropout(0.2) )\n", + "model.add( keras.layers.Dense(features_len) )\n", + "\n", + "model.summary()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Step 4 - Compile and run" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4.1 - Callback" + ] + }, + { + "cell_type": "code", + "execution_count": 483, + "metadata": {}, + "outputs": [], + "source": [ + "pwk.mkdir('./run/models')\n", + "save_dir = './run/models/best_model.h5'\n", + "bestmodel_callback = tf.keras.callbacks.ModelCheckpoint(filepath=save_dir, verbose=0, save_best_only=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4.2 - Compile" + ] + }, + { + "cell_type": "code", + "execution_count": 484, + "metadata": {}, + "outputs": [], + "source": [ + "model.compile(optimizer='adam', \n", + " loss='mse', \n", + " metrics = ['mae'] )" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4.3 - Fit\n", + "6' with a CPU (laptop) \n", + "2' with a GPU" + ] + }, + { + "cell_type": "code", + "execution_count": 485, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 1/10\n", + "249/249 [==============================] - 8s 34ms/step - loss: 0.1236 - mae: 0.2570 - val_loss: 0.0126 - val_mae: 0.0924\n", + "Epoch 2/10\n", + "249/249 [==============================] - 8s 33ms/step - loss: 0.0247 - mae: 0.1219 - val_loss: 0.0058 - val_mae: 0.0628\n", + "Epoch 3/10\n", + "249/249 [==============================] - 8s 32ms/step - loss: 0.0174 - mae: 0.1010 - val_loss: 0.0046 - val_mae: 0.0561\n", + "Epoch 4/10\n", + "249/249 [==============================] - 8s 32ms/step - loss: 0.0150 - mae: 0.0926 - val_loss: 0.0036 - val_mae: 0.0469\n", + "Epoch 5/10\n", + "249/249 [==============================] - 8s 33ms/step - loss: 0.0142 - mae: 0.0895 - val_loss: 0.0033 - val_mae: 0.0462\n", + "Epoch 6/10\n", + "249/249 [==============================] - 9s 34ms/step - loss: 0.0130 - mae: 0.0859 - val_loss: 0.0018 - val_mae: 0.0343\n", + "Epoch 7/10\n", + "249/249 [==============================] - 9s 34ms/step - loss: 0.0126 - mae: 0.0844 - val_loss: 0.0022 - val_mae: 0.0368\n", + "Epoch 8/10\n", + "249/249 [==============================] - 9s 34ms/step - loss: 0.0127 - mae: 0.0835 - val_loss: 0.0033 - val_mae: 0.0427\n", + "Epoch 9/10\n", + "249/249 [==============================] - 9s 34ms/step - loss: 0.0115 - mae: 0.0796 - val_loss: 0.0024 - val_mae: 0.0374\n", + "Epoch 10/10\n", + "249/249 [==============================] - 9s 35ms/step - loss: 0.0119 - mae: 0.0809 - val_loss: 0.0021 - val_mae: 0.0351\n", + "\n", + "Duration : 00:01:25 120ms\n" + ] + } + ], + "source": [ + "pwk.chrono_start()\n", + "\n", + "history=model.fit(train_generator, \n", + " epochs=epochs, \n", + " verbose=1,\n", + " validation_data = test_generator,\n", + " callbacks = [bestmodel_callback])\n", + "\n", + "pwk.chrono_show()" + ] + }, + { + "cell_type": "code", + "execution_count": 486, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "<Figure size 576x432 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "<Figure size 576x432 with 1 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "pwk.plot_history(history,plot={'loss':['loss','val_loss'], 'mae':['mae','val_mae']}, save_as='01-history')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Step 5 - Predict" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 5.1 - Load model" + ] + }, + { + "cell_type": "code", + "execution_count": 487, + "metadata": {}, + "outputs": [], + "source": [ + "loaded_model = tf.keras.models.load_model('./run/models/best_model.h5')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 5.2 Make a prediction\n", + "A basic prediction, with normalized values (so humanly not very understandable)" + ] + }, + { + "cell_type": "code", + "execution_count": 503, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "<Figure size 1080x288 with 2 Axes>" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "s=random.randint(0,len(x_test)-sequence_len)\n", + "\n", + "sequence = x_test[s:s+sequence_len]\n", + "sequence_true = x_test[s:s+sequence_len+1]\n", + "\n", + "pred = loaded_model.predict( np.array([sequence]) )\n", + "\n", + "# ---- Show result\n", + "pwk.plot_multivariate_serie(sequence_true, predictions=pred, labels=features, save_as='02-prediction-norm')\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 5.3 Real prediction\n", + "We are now going to make a true prediction, with an un-normalized result" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def denormalize(mean,std,seq):\n", + " nseq = seq.copy()\n", + " for i,s in enumerate(nseq):\n", + " s = s*std + mean\n", + " nseq[i]=s\n", + " return nseq\n", + "\n", + "\n", + "# ---- Get a sequence\n", + "\n", + "i=random.randint(0,len(x_test)-sequence_len)\n", + "sequence = x_test[i:i+sequence_len]\n", + "sequence_true = x_test[i:i+sequence_len+1]\n", + "\n", + "# ---- Prediction\n", + "\n", + "pred = loaded_model.predict( np.array([sequence]) )\n", + "\n", + "# ---- De-normalization\n", + "\n", + "sequence_true = denormalize(mean,std, sequence_true)\n", + "pred = denormalize(mean,std, pred)\n", + "\n", + "# ---- Show it\n", + "feat=11\n", + "\n", + "pwk.plot_multivariate_serie(sequence_true, predictions=pred, labels=features, only_features=[feat],width=14, height=8, save_as='03-prediction')\n", + "\n", + "delta_deg=abs(sequence_true[-1][feat]-pred[-1][feat])\n", + "print(f'Gap between prediction and reality : {delta_deg:.2f} °C')\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "pwk.end()" + ] + }, + { + "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": "3.8.5" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/SYNOP/01-Preparation-of-data.ipynb b/SYNOP/01-Preparation-of-data.ipynb index ebbeb90..825bf11 100644 --- a/SYNOP/01-Preparation-of-data.ipynb +++ b/SYNOP/01-Preparation-of-data.ipynb @@ -15,7 +15,12 @@ " - cleanup a usable dataset\n", "\n", "\n", - "SYNOP meteorological data, available at: https://public.opendatasoft.com \n", + "SYNOP meteorological data, can be found on : \n", + "https://public.opendatasoft.com \n", + "\n", + "About SYNOP datasets : \n", + "https://public.opendatasoft.com/explore/dataset/donnees-synop-essentielles-omm/information/?sort=date\n", + "\n", "This dataset contains a set of measurements (temperature, pressure, ...) made every 3 hours at the LYS airport. \n", "The objective will be to predict the evolution of the weather !\n", "\n", @@ -24,13 +29,12 @@ " - Read the data\n", " - Cleanup and build a usable dataset\n", "\n", - "## Step 1 - Import and init\n", - "### 1.1 - Python" + "## Step 1 - Import and init" ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -108,16 +112,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "Version : 1.2b1 DEV\n", + "Version : 2.0.17\n", "Notebook id : SYNOP1\n", - "Run time : Saturday 9 January 2021, 10:04:28\n", + "Run time : Friday 05 March 2021, 16:12:27\n", "TensorFlow version : 2.2.0\n", "Keras version : 2.3.0-tf\n", "Datasets dir : /home/pjluc/datasets/fidle\n", "Run dir : ./run\n", - "Update keras cache : False\n", - "Save figs : True\n", - "Path figs : ./run/figs\n" + "Update keras cache : False\n" ] } ], @@ -141,19 +143,70 @@ "\n", "datasets_dir = pwk.init('SYNOP1')\n", "\n", - "pd.set_option('display.max_rows',200)\n" + "pd.set_option('display.max_rows',200)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Step 2 - Parameters\n", + "`output_dir` : where to write enhanced dataset, could be :\n", + " - `./data`, for simplicity and convenience (best choice because enhanced dataset will be small)\n", + " - `<datasets_dir>/SYNOP/enhanced` to save enhanced dataset in your datasets dir. \n", + " \n", + "Uncomment the right lines according to what you want :" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "# ---- Our future enhanced dataset\n", + "#\n", + "dataset_name = 'synop-LYS.csv'\n", + "dataset_desc = 'synop.json'\n", + "\n", + "# ---- For smart tests :\n", + "#\n", + "output_dir = './data' \n", + "\n", + "# ---- To save enhanced dataset in the dataset_dir\n", + "#\n", + "# output_dir = f'{datasets_dir}/SYNOP/enhanced'" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Override parameters (batch mode) - Just forget this cell" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "pwk.override('output_dir')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Step 2 - Read the data" + "## Step 3 - Retrieve the dataset\n", + "There are two parts to recover:\n", + " - The data itself (csv)\n", + " - Description of the data (json)\n" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -165,12 +218,13 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### 2.1 - Read columns code" + "### 3.1 - Read dataset description\n", + "We need the list and description of the columns." ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -184,12 +238,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### 2.2 - Read data" + "### 3.2 - Read data" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -223,7 +277,7 @@ "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", - " <tr style=\"text-align: right;\">\n", + " <tr style=\"text-align: left;\">\n", " <th></th>\n", " <th>ID OMM station</th>\n", " <th>Date</th>\n", @@ -495,89 +549,89 @@ "</div>" ], "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", + " 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", + "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", + "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", + "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", + " 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", + "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", + " 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]" ] @@ -601,499 +655,499 @@ "data": { "text/html": [ "<style type=\"text/css\" >\n", - "#T_ade5a_row0_col0,#T_ade5a_row0_col1,#T_ade5a_row0_col2,#T_ade5a_row1_col0,#T_ade5a_row1_col1,#T_ade5a_row1_col2,#T_ade5a_row2_col0,#T_ade5a_row2_col1,#T_ade5a_row2_col2,#T_ade5a_row3_col0,#T_ade5a_row3_col1,#T_ade5a_row3_col2,#T_ade5a_row4_col0,#T_ade5a_row4_col1,#T_ade5a_row4_col2,#T_ade5a_row5_col0,#T_ade5a_row5_col1,#T_ade5a_row5_col2,#T_ade5a_row6_col0,#T_ade5a_row6_col1,#T_ade5a_row6_col2,#T_ade5a_row7_col0,#T_ade5a_row7_col1,#T_ade5a_row7_col2,#T_ade5a_row8_col0,#T_ade5a_row8_col1,#T_ade5a_row8_col2,#T_ade5a_row9_col0,#T_ade5a_row9_col1,#T_ade5a_row9_col2,#T_ade5a_row10_col0,#T_ade5a_row10_col1,#T_ade5a_row10_col2,#T_ade5a_row11_col0,#T_ade5a_row11_col1,#T_ade5a_row11_col2,#T_ade5a_row12_col0,#T_ade5a_row12_col1,#T_ade5a_row12_col2,#T_ade5a_row13_col0,#T_ade5a_row13_col1,#T_ade5a_row13_col2,#T_ade5a_row14_col0,#T_ade5a_row14_col1,#T_ade5a_row14_col2,#T_ade5a_row15_col0,#T_ade5a_row15_col1,#T_ade5a_row15_col2,#T_ade5a_row16_col0,#T_ade5a_row16_col1,#T_ade5a_row16_col2,#T_ade5a_row17_col0,#T_ade5a_row17_col1,#T_ade5a_row17_col2,#T_ade5a_row18_col0,#T_ade5a_row18_col1,#T_ade5a_row18_col2,#T_ade5a_row19_col0,#T_ade5a_row19_col1,#T_ade5a_row19_col2,#T_ade5a_row20_col0,#T_ade5a_row20_col1,#T_ade5a_row20_col2,#T_ade5a_row21_col0,#T_ade5a_row21_col1,#T_ade5a_row21_col2,#T_ade5a_row22_col0,#T_ade5a_row22_col1,#T_ade5a_row22_col2,#T_ade5a_row23_col0,#T_ade5a_row23_col1,#T_ade5a_row23_col2,#T_ade5a_row24_col0,#T_ade5a_row24_col1,#T_ade5a_row24_col2,#T_ade5a_row25_col0,#T_ade5a_row25_col1,#T_ade5a_row25_col2,#T_ade5a_row26_col0,#T_ade5a_row26_col1,#T_ade5a_row26_col2,#T_ade5a_row27_col0,#T_ade5a_row27_col1,#T_ade5a_row27_col2,#T_ade5a_row28_col0,#T_ade5a_row28_col1,#T_ade5a_row28_col2,#T_ade5a_row29_col0,#T_ade5a_row29_col1,#T_ade5a_row29_col2,#T_ade5a_row30_col0,#T_ade5a_row30_col1,#T_ade5a_row30_col2,#T_ade5a_row31_col0,#T_ade5a_row31_col1,#T_ade5a_row31_col2,#T_ade5a_row32_col0,#T_ade5a_row32_col1,#T_ade5a_row32_col2,#T_ade5a_row33_col0,#T_ade5a_row33_col1,#T_ade5a_row33_col2,#T_ade5a_row34_col0,#T_ade5a_row34_col1,#T_ade5a_row34_col2,#T_ade5a_row35_col0,#T_ade5a_row35_col1,#T_ade5a_row35_col2,#T_ade5a_row36_col0,#T_ade5a_row36_col1,#T_ade5a_row36_col2,#T_ade5a_row37_col0,#T_ade5a_row37_col1,#T_ade5a_row37_col2,#T_ade5a_row38_col0,#T_ade5a_row38_col1,#T_ade5a_row38_col2,#T_ade5a_row39_col0,#T_ade5a_row39_col1,#T_ade5a_row39_col2,#T_ade5a_row40_col0,#T_ade5a_row40_col1,#T_ade5a_row40_col2,#T_ade5a_row41_col0,#T_ade5a_row41_col1,#T_ade5a_row41_col2,#T_ade5a_row42_col0,#T_ade5a_row42_col1,#T_ade5a_row42_col2,#T_ade5a_row43_col0,#T_ade5a_row43_col1,#T_ade5a_row43_col2,#T_ade5a_row44_col0,#T_ade5a_row44_col1,#T_ade5a_row44_col2,#T_ade5a_row45_col0,#T_ade5a_row45_col1,#T_ade5a_row45_col2,#T_ade5a_row46_col0,#T_ade5a_row46_col1,#T_ade5a_row46_col2,#T_ade5a_row47_col0,#T_ade5a_row47_col1,#T_ade5a_row47_col2,#T_ade5a_row48_col0,#T_ade5a_row48_col1,#T_ade5a_row48_col2,#T_ade5a_row49_col0,#T_ade5a_row49_col1,#T_ade5a_row49_col2,#T_ade5a_row50_col0,#T_ade5a_row50_col1,#T_ade5a_row50_col2,#T_ade5a_row51_col0,#T_ade5a_row51_col1,#T_ade5a_row51_col2,#T_ade5a_row52_col0,#T_ade5a_row52_col1,#T_ade5a_row52_col2,#T_ade5a_row53_col0,#T_ade5a_row53_col1,#T_ade5a_row53_col2,#T_ade5a_row54_col0,#T_ade5a_row54_col1,#T_ade5a_row54_col2,#T_ade5a_row55_col0,#T_ade5a_row55_col1,#T_ade5a_row55_col2,#T_ade5a_row56_col0,#T_ade5a_row56_col1,#T_ade5a_row56_col2,#T_ade5a_row57_col0,#T_ade5a_row57_col1,#T_ade5a_row57_col2,#T_ade5a_row58_col0,#T_ade5a_row58_col1,#T_ade5a_row58_col2,#T_ade5a_row59_col0,#T_ade5a_row59_col1,#T_ade5a_row59_col2,#T_ade5a_row60_col0,#T_ade5a_row60_col1,#T_ade5a_row60_col2,#T_ade5a_row61_col0,#T_ade5a_row61_col1,#T_ade5a_row61_col2,#T_ade5a_row62_col0,#T_ade5a_row62_col1,#T_ade5a_row62_col2,#T_ade5a_row63_col0,#T_ade5a_row63_col1,#T_ade5a_row63_col2,#T_ade5a_row64_col0,#T_ade5a_row64_col1,#T_ade5a_row64_col2,#T_ade5a_row65_col0,#T_ade5a_row65_col1,#T_ade5a_row65_col2,#T_ade5a_row66_col0,#T_ade5a_row66_col1,#T_ade5a_row66_col2,#T_ade5a_row67_col0,#T_ade5a_row67_col1,#T_ade5a_row67_col2,#T_ade5a_row68_col0,#T_ade5a_row68_col1,#T_ade5a_row68_col2,#T_ade5a_row69_col0,#T_ade5a_row69_col1,#T_ade5a_row69_col2,#T_ade5a_row70_col0,#T_ade5a_row70_col1,#T_ade5a_row70_col2,#T_ade5a_row71_col0,#T_ade5a_row71_col1,#T_ade5a_row71_col2,#T_ade5a_row72_col0,#T_ade5a_row72_col1,#T_ade5a_row72_col2,#T_ade5a_row73_col0,#T_ade5a_row73_col1,#T_ade5a_row73_col2,#T_ade5a_row74_col0,#T_ade5a_row74_col1,#T_ade5a_row74_col2,#T_ade5a_row75_col0,#T_ade5a_row75_col1,#T_ade5a_row75_col2,#T_ade5a_row76_col0,#T_ade5a_row76_col1,#T_ade5a_row76_col2,#T_ade5a_row77_col0,#T_ade5a_row77_col1,#T_ade5a_row77_col2,#T_ade5a_row78_col0,#T_ade5a_row78_col1,#T_ade5a_row78_col2,#T_ade5a_row79_col0,#T_ade5a_row79_col1,#T_ade5a_row79_col2,#T_ade5a_row80_col0,#T_ade5a_row80_col1,#T_ade5a_row80_col2{\n", + "#T_57323_row0_col0,#T_57323_row0_col1,#T_57323_row0_col2,#T_57323_row1_col0,#T_57323_row1_col1,#T_57323_row1_col2,#T_57323_row2_col0,#T_57323_row2_col1,#T_57323_row2_col2,#T_57323_row3_col0,#T_57323_row3_col1,#T_57323_row3_col2,#T_57323_row4_col0,#T_57323_row4_col1,#T_57323_row4_col2,#T_57323_row5_col0,#T_57323_row5_col1,#T_57323_row5_col2,#T_57323_row6_col0,#T_57323_row6_col1,#T_57323_row6_col2,#T_57323_row7_col0,#T_57323_row7_col1,#T_57323_row7_col2,#T_57323_row8_col0,#T_57323_row8_col1,#T_57323_row8_col2,#T_57323_row9_col0,#T_57323_row9_col1,#T_57323_row9_col2,#T_57323_row10_col0,#T_57323_row10_col1,#T_57323_row10_col2,#T_57323_row11_col0,#T_57323_row11_col1,#T_57323_row11_col2,#T_57323_row12_col0,#T_57323_row12_col1,#T_57323_row12_col2,#T_57323_row13_col0,#T_57323_row13_col1,#T_57323_row13_col2,#T_57323_row14_col0,#T_57323_row14_col1,#T_57323_row14_col2,#T_57323_row15_col0,#T_57323_row15_col1,#T_57323_row15_col2,#T_57323_row16_col0,#T_57323_row16_col1,#T_57323_row16_col2,#T_57323_row17_col0,#T_57323_row17_col1,#T_57323_row17_col2,#T_57323_row18_col0,#T_57323_row18_col1,#T_57323_row18_col2,#T_57323_row19_col0,#T_57323_row19_col1,#T_57323_row19_col2,#T_57323_row20_col0,#T_57323_row20_col1,#T_57323_row20_col2,#T_57323_row21_col0,#T_57323_row21_col1,#T_57323_row21_col2,#T_57323_row22_col0,#T_57323_row22_col1,#T_57323_row22_col2,#T_57323_row23_col0,#T_57323_row23_col1,#T_57323_row23_col2,#T_57323_row24_col0,#T_57323_row24_col1,#T_57323_row24_col2,#T_57323_row25_col0,#T_57323_row25_col1,#T_57323_row25_col2,#T_57323_row26_col0,#T_57323_row26_col1,#T_57323_row26_col2,#T_57323_row27_col0,#T_57323_row27_col1,#T_57323_row27_col2,#T_57323_row28_col0,#T_57323_row28_col1,#T_57323_row28_col2,#T_57323_row29_col0,#T_57323_row29_col1,#T_57323_row29_col2,#T_57323_row30_col0,#T_57323_row30_col1,#T_57323_row30_col2,#T_57323_row31_col0,#T_57323_row31_col1,#T_57323_row31_col2,#T_57323_row32_col0,#T_57323_row32_col1,#T_57323_row32_col2,#T_57323_row33_col0,#T_57323_row33_col1,#T_57323_row33_col2,#T_57323_row34_col0,#T_57323_row34_col1,#T_57323_row34_col2,#T_57323_row35_col0,#T_57323_row35_col1,#T_57323_row35_col2,#T_57323_row36_col0,#T_57323_row36_col1,#T_57323_row36_col2,#T_57323_row37_col0,#T_57323_row37_col1,#T_57323_row37_col2,#T_57323_row38_col0,#T_57323_row38_col1,#T_57323_row38_col2,#T_57323_row39_col0,#T_57323_row39_col1,#T_57323_row39_col2,#T_57323_row40_col0,#T_57323_row40_col1,#T_57323_row40_col2,#T_57323_row41_col0,#T_57323_row41_col1,#T_57323_row41_col2,#T_57323_row42_col0,#T_57323_row42_col1,#T_57323_row42_col2,#T_57323_row43_col0,#T_57323_row43_col1,#T_57323_row43_col2,#T_57323_row44_col0,#T_57323_row44_col1,#T_57323_row44_col2,#T_57323_row45_col0,#T_57323_row45_col1,#T_57323_row45_col2,#T_57323_row46_col0,#T_57323_row46_col1,#T_57323_row46_col2,#T_57323_row47_col0,#T_57323_row47_col1,#T_57323_row47_col2,#T_57323_row48_col0,#T_57323_row48_col1,#T_57323_row48_col2,#T_57323_row49_col0,#T_57323_row49_col1,#T_57323_row49_col2,#T_57323_row50_col0,#T_57323_row50_col1,#T_57323_row50_col2,#T_57323_row51_col0,#T_57323_row51_col1,#T_57323_row51_col2,#T_57323_row52_col0,#T_57323_row52_col1,#T_57323_row52_col2,#T_57323_row53_col0,#T_57323_row53_col1,#T_57323_row53_col2,#T_57323_row54_col0,#T_57323_row54_col1,#T_57323_row54_col2,#T_57323_row55_col0,#T_57323_row55_col1,#T_57323_row55_col2,#T_57323_row56_col0,#T_57323_row56_col1,#T_57323_row56_col2,#T_57323_row57_col0,#T_57323_row57_col1,#T_57323_row57_col2,#T_57323_row58_col0,#T_57323_row58_col1,#T_57323_row58_col2,#T_57323_row59_col0,#T_57323_row59_col1,#T_57323_row59_col2,#T_57323_row60_col0,#T_57323_row60_col1,#T_57323_row60_col2,#T_57323_row61_col0,#T_57323_row61_col1,#T_57323_row61_col2,#T_57323_row62_col0,#T_57323_row62_col1,#T_57323_row62_col2,#T_57323_row63_col0,#T_57323_row63_col1,#T_57323_row63_col2,#T_57323_row64_col0,#T_57323_row64_col1,#T_57323_row64_col2,#T_57323_row65_col0,#T_57323_row65_col1,#T_57323_row65_col2,#T_57323_row66_col0,#T_57323_row66_col1,#T_57323_row66_col2,#T_57323_row67_col0,#T_57323_row67_col1,#T_57323_row67_col2,#T_57323_row68_col0,#T_57323_row68_col1,#T_57323_row68_col2,#T_57323_row69_col0,#T_57323_row69_col1,#T_57323_row69_col2,#T_57323_row70_col0,#T_57323_row70_col1,#T_57323_row70_col2,#T_57323_row71_col0,#T_57323_row71_col1,#T_57323_row71_col2,#T_57323_row72_col0,#T_57323_row72_col1,#T_57323_row72_col2,#T_57323_row73_col0,#T_57323_row73_col1,#T_57323_row73_col2,#T_57323_row74_col0,#T_57323_row74_col1,#T_57323_row74_col2,#T_57323_row75_col0,#T_57323_row75_col1,#T_57323_row75_col2,#T_57323_row76_col0,#T_57323_row76_col1,#T_57323_row76_col2,#T_57323_row77_col0,#T_57323_row77_col1,#T_57323_row77_col2,#T_57323_row78_col0,#T_57323_row78_col1,#T_57323_row78_col2,#T_57323_row79_col0,#T_57323_row79_col1,#T_57323_row79_col2,#T_57323_row80_col0,#T_57323_row80_col1,#T_57323_row80_col2{\n", " text-align: left;\n", - " }</style><table id=\"T_ade5a_\" ><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", + " }</style><table id=\"T_57323_\" ><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_ade5a_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n", - " <td id=\"T_ade5a_row0_col0\" class=\"data row0 col0\" >numer_sta</td>\n", - " <td id=\"T_ade5a_row0_col1\" class=\"data row0 col1\" >ID OMM station</td>\n", - " <td id=\"T_ade5a_row0_col2\" class=\"data row0 col2\" >0</td>\n", + " <th id=\"T_57323_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n", + " <td id=\"T_57323_row0_col0\" class=\"data row0 col0\" >numer_sta</td>\n", + " <td id=\"T_57323_row0_col1\" class=\"data row0 col1\" >ID OMM station</td>\n", + " <td id=\"T_57323_row0_col2\" class=\"data row0 col2\" >0</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n", - " <td id=\"T_ade5a_row1_col0\" class=\"data row1 col0\" >date</td>\n", - " <td id=\"T_ade5a_row1_col1\" class=\"data row1 col1\" >Date</td>\n", - " <td id=\"T_ade5a_row1_col2\" class=\"data row1 col2\" >0</td>\n", + " <th id=\"T_57323_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n", + " <td id=\"T_57323_row1_col0\" class=\"data row1 col0\" >date</td>\n", + " <td id=\"T_57323_row1_col1\" class=\"data row1 col1\" >Date</td>\n", + " <td id=\"T_57323_row1_col2\" class=\"data row1 col2\" >0</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n", - " <td id=\"T_ade5a_row2_col0\" class=\"data row2 col0\" >pmer</td>\n", - " <td id=\"T_ade5a_row2_col1\" class=\"data row2 col1\" >Pression au niveau mer</td>\n", - " <td id=\"T_ade5a_row2_col2\" class=\"data row2 col2\" >17</td>\n", + " <th id=\"T_57323_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n", + " <td id=\"T_57323_row2_col0\" class=\"data row2 col0\" >pmer</td>\n", + " <td id=\"T_57323_row2_col1\" class=\"data row2 col1\" >Pression au niveau mer</td>\n", + " <td id=\"T_57323_row2_col2\" class=\"data row2 col2\" >17</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n", - " <td id=\"T_ade5a_row3_col0\" class=\"data row3 col0\" >tend</td>\n", - " <td id=\"T_ade5a_row3_col1\" class=\"data row3 col1\" >Variation de pression en 3 heures</td>\n", - " <td id=\"T_ade5a_row3_col2\" class=\"data row3 col2\" >2</td>\n", + " <th id=\"T_57323_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n", + " <td id=\"T_57323_row3_col0\" class=\"data row3 col0\" >tend</td>\n", + " <td id=\"T_57323_row3_col1\" class=\"data row3 col1\" >Variation de pression en 3 heures</td>\n", + " <td id=\"T_57323_row3_col2\" class=\"data row3 col2\" >2</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n", - " <td id=\"T_ade5a_row4_col0\" class=\"data row4 col0\" >cod_tend</td>\n", - " <td id=\"T_ade5a_row4_col1\" class=\"data row4 col1\" >Type de tendance barométrique</td>\n", - " <td id=\"T_ade5a_row4_col2\" class=\"data row4 col2\" >2</td>\n", + " <th id=\"T_57323_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n", + " <td id=\"T_57323_row4_col0\" class=\"data row4 col0\" >cod_tend</td>\n", + " <td id=\"T_57323_row4_col1\" class=\"data row4 col1\" >Type de tendance barométrique</td>\n", + " <td id=\"T_57323_row4_col2\" class=\"data row4 col2\" >2</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n", - " <td id=\"T_ade5a_row5_col0\" class=\"data row5 col0\" >dd</td>\n", - " <td id=\"T_ade5a_row5_col1\" class=\"data row5 col1\" >Direction du vent moyen 10 mn</td>\n", - " <td id=\"T_ade5a_row5_col2\" class=\"data row5 col2\" >3</td>\n", + " <th id=\"T_57323_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n", + " <td id=\"T_57323_row5_col0\" class=\"data row5 col0\" >dd</td>\n", + " <td id=\"T_57323_row5_col1\" class=\"data row5 col1\" >Direction du vent moyen 10 mn</td>\n", + " <td id=\"T_57323_row5_col2\" class=\"data row5 col2\" >3</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n", - " <td id=\"T_ade5a_row6_col0\" class=\"data row6 col0\" >ff</td>\n", - " <td id=\"T_ade5a_row6_col1\" class=\"data row6 col1\" >Vitesse du vent moyen 10 mn</td>\n", - " <td id=\"T_ade5a_row6_col2\" class=\"data row6 col2\" >2</td>\n", + " <th id=\"T_57323_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n", + " <td id=\"T_57323_row6_col0\" class=\"data row6 col0\" >ff</td>\n", + " <td id=\"T_57323_row6_col1\" class=\"data row6 col1\" >Vitesse du vent moyen 10 mn</td>\n", + " <td id=\"T_57323_row6_col2\" class=\"data row6 col2\" >2</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n", - " <td id=\"T_ade5a_row7_col0\" class=\"data row7 col0\" >t</td>\n", - " <td id=\"T_ade5a_row7_col1\" class=\"data row7 col1\" >Température</td>\n", - " <td id=\"T_ade5a_row7_col2\" class=\"data row7 col2\" >14</td>\n", + " <th id=\"T_57323_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n", + " <td id=\"T_57323_row7_col0\" class=\"data row7 col0\" >t</td>\n", + " <td id=\"T_57323_row7_col1\" class=\"data row7 col1\" >Température</td>\n", + " <td id=\"T_57323_row7_col2\" class=\"data row7 col2\" >14</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n", - " <td id=\"T_ade5a_row8_col0\" class=\"data row8 col0\" >td</td>\n", - " <td id=\"T_ade5a_row8_col1\" class=\"data row8 col1\" >Point de rosée</td>\n", - " <td id=\"T_ade5a_row8_col2\" class=\"data row8 col2\" >17</td>\n", + " <th id=\"T_57323_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n", + " <td id=\"T_57323_row8_col0\" class=\"data row8 col0\" >td</td>\n", + " <td id=\"T_57323_row8_col1\" class=\"data row8 col1\" >Point de rosée</td>\n", + " <td id=\"T_57323_row8_col2\" class=\"data row8 col2\" >17</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n", - " <td id=\"T_ade5a_row9_col0\" class=\"data row9 col0\" >u</td>\n", - " <td id=\"T_ade5a_row9_col1\" class=\"data row9 col1\" >Humidité</td>\n", - " <td id=\"T_ade5a_row9_col2\" class=\"data row9 col2\" >17</td>\n", + " <th id=\"T_57323_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n", + " <td id=\"T_57323_row9_col0\" class=\"data row9 col0\" >u</td>\n", + " <td id=\"T_57323_row9_col1\" class=\"data row9 col1\" >Humidité</td>\n", + " <td id=\"T_57323_row9_col2\" class=\"data row9 col2\" >17</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row10\" class=\"row_heading level0 row10\" >10</th>\n", - " <td id=\"T_ade5a_row10_col0\" class=\"data row10 col0\" >vv</td>\n", - " <td id=\"T_ade5a_row10_col1\" class=\"data row10 col1\" >Visibilité horizontale</td>\n", - " <td id=\"T_ade5a_row10_col2\" class=\"data row10 col2\" >31</td>\n", + " <th id=\"T_57323_level0_row10\" class=\"row_heading level0 row10\" >10</th>\n", + " <td id=\"T_57323_row10_col0\" class=\"data row10 col0\" >vv</td>\n", + " <td id=\"T_57323_row10_col1\" class=\"data row10 col1\" >Visibilité horizontale</td>\n", + " <td id=\"T_57323_row10_col2\" class=\"data row10 col2\" >31</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row11\" class=\"row_heading level0 row11\" >11</th>\n", - " <td id=\"T_ade5a_row11_col0\" class=\"data row11 col0\" >ww</td>\n", - " <td id=\"T_ade5a_row11_col1\" class=\"data row11 col1\" >Temps présent</td>\n", - " <td id=\"T_ade5a_row11_col2\" class=\"data row11 col2\" >1</td>\n", + " <th id=\"T_57323_level0_row11\" class=\"row_heading level0 row11\" >11</th>\n", + " <td id=\"T_57323_row11_col0\" class=\"data row11 col0\" >ww</td>\n", + " <td id=\"T_57323_row11_col1\" class=\"data row11 col1\" >Temps présent</td>\n", + " <td id=\"T_57323_row11_col2\" class=\"data row11 col2\" >1</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row12\" class=\"row_heading level0 row12\" >12</th>\n", - " <td id=\"T_ade5a_row12_col0\" class=\"data row12 col0\" >w1</td>\n", - " <td id=\"T_ade5a_row12_col1\" class=\"data row12 col1\" >Temps passé 1</td>\n", - " <td id=\"T_ade5a_row12_col2\" class=\"data row12 col2\" >542</td>\n", + " <th id=\"T_57323_level0_row12\" class=\"row_heading level0 row12\" >12</th>\n", + " <td id=\"T_57323_row12_col0\" class=\"data row12 col0\" >w1</td>\n", + " <td id=\"T_57323_row12_col1\" class=\"data row12 col1\" >Temps passé 1</td>\n", + " <td id=\"T_57323_row12_col2\" class=\"data row12 col2\" >542</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row13\" class=\"row_heading level0 row13\" >13</th>\n", - " <td id=\"T_ade5a_row13_col0\" class=\"data row13 col0\" >w2</td>\n", - " <td id=\"T_ade5a_row13_col1\" class=\"data row13 col1\" >Temps passé 2</td>\n", - " <td id=\"T_ade5a_row13_col2\" class=\"data row13 col2\" >552</td>\n", + " <th id=\"T_57323_level0_row13\" class=\"row_heading level0 row13\" >13</th>\n", + " <td id=\"T_57323_row13_col0\" class=\"data row13 col0\" >w2</td>\n", + " <td id=\"T_57323_row13_col1\" class=\"data row13 col1\" >Temps passé 2</td>\n", + " <td id=\"T_57323_row13_col2\" class=\"data row13 col2\" >552</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row14\" class=\"row_heading level0 row14\" >14</th>\n", - " <td id=\"T_ade5a_row14_col0\" class=\"data row14 col0\" >n</td>\n", - " <td id=\"T_ade5a_row14_col1\" class=\"data row14 col1\" >Nebulosité totale</td>\n", - " <td id=\"T_ade5a_row14_col2\" class=\"data row14 col2\" >801</td>\n", + " <th id=\"T_57323_level0_row14\" class=\"row_heading level0 row14\" >14</th>\n", + " <td id=\"T_57323_row14_col0\" class=\"data row14 col0\" >n</td>\n", + " <td id=\"T_57323_row14_col1\" class=\"data row14 col1\" >Nebulosité totale</td>\n", + " <td id=\"T_57323_row14_col2\" class=\"data row14 col2\" >801</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row15\" class=\"row_heading level0 row15\" >15</th>\n", - " <td id=\"T_ade5a_row15_col0\" class=\"data row15 col0\" >nbas</td>\n", - " <td id=\"T_ade5a_row15_col1\" class=\"data row15 col1\" >Nébulosité des nuages de l' étage inférieur</td>\n", - " <td id=\"T_ade5a_row15_col2\" class=\"data row15 col2\" >2381</td>\n", + " <th id=\"T_57323_level0_row15\" class=\"row_heading level0 row15\" >15</th>\n", + " <td id=\"T_57323_row15_col0\" class=\"data row15 col0\" >nbas</td>\n", + " <td id=\"T_57323_row15_col1\" class=\"data row15 col1\" >Nébulosité des nuages de l' étage inférieur</td>\n", + " <td id=\"T_57323_row15_col2\" class=\"data row15 col2\" >2381</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row16\" class=\"row_heading level0 row16\" >16</th>\n", - " <td id=\"T_ade5a_row16_col0\" class=\"data row16 col0\" >hbas</td>\n", - " <td id=\"T_ade5a_row16_col1\" class=\"data row16 col1\" >Hauteur de la base des nuages de l'étage inférieur</td>\n", - " <td id=\"T_ade5a_row16_col2\" class=\"data row16 col2\" >8861</td>\n", + " <th id=\"T_57323_level0_row16\" class=\"row_heading level0 row16\" >16</th>\n", + " <td id=\"T_57323_row16_col0\" class=\"data row16 col0\" >hbas</td>\n", + " <td id=\"T_57323_row16_col1\" class=\"data row16 col1\" >Hauteur de la base des nuages de l'étage inférieur</td>\n", + " <td id=\"T_57323_row16_col2\" class=\"data row16 col2\" >8861</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row17\" class=\"row_heading level0 row17\" >17</th>\n", - " <td id=\"T_ade5a_row17_col0\" class=\"data row17 col0\" >cl</td>\n", - " <td id=\"T_ade5a_row17_col1\" class=\"data row17 col1\" >Type des nuages de l'étage inférieur</td>\n", - " <td id=\"T_ade5a_row17_col2\" class=\"data row17 col2\" >3377</td>\n", + " <th id=\"T_57323_level0_row17\" class=\"row_heading level0 row17\" >17</th>\n", + " <td id=\"T_57323_row17_col0\" class=\"data row17 col0\" >cl</td>\n", + " <td id=\"T_57323_row17_col1\" class=\"data row17 col1\" >Type des nuages de l'étage inférieur</td>\n", + " <td id=\"T_57323_row17_col2\" class=\"data row17 col2\" >3377</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row18\" class=\"row_heading level0 row18\" >18</th>\n", - " <td id=\"T_ade5a_row18_col0\" class=\"data row18 col0\" >cm</td>\n", - " <td id=\"T_ade5a_row18_col1\" class=\"data row18 col1\" >Type des nuages de l'étage moyen</td>\n", - " <td id=\"T_ade5a_row18_col2\" class=\"data row18 col2\" >6912</td>\n", + " <th id=\"T_57323_level0_row18\" class=\"row_heading level0 row18\" >18</th>\n", + " <td id=\"T_57323_row18_col0\" class=\"data row18 col0\" >cm</td>\n", + " <td id=\"T_57323_row18_col1\" class=\"data row18 col1\" >Type des nuages de l'étage moyen</td>\n", + " <td id=\"T_57323_row18_col2\" class=\"data row18 col2\" >6912</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row19\" class=\"row_heading level0 row19\" >19</th>\n", - " <td id=\"T_ade5a_row19_col0\" class=\"data row19 col0\" >ch</td>\n", - " <td id=\"T_ade5a_row19_col1\" class=\"data row19 col1\" >Type des nuages de l'étage supérieur</td>\n", - " <td id=\"T_ade5a_row19_col2\" class=\"data row19 col2\" >8494</td>\n", + " <th id=\"T_57323_level0_row19\" class=\"row_heading level0 row19\" >19</th>\n", + " <td id=\"T_57323_row19_col0\" class=\"data row19 col0\" >ch</td>\n", + " <td id=\"T_57323_row19_col1\" class=\"data row19 col1\" >Type des nuages de l'étage supérieur</td>\n", + " <td id=\"T_57323_row19_col2\" class=\"data row19 col2\" >8494</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row20\" class=\"row_heading level0 row20\" >20</th>\n", - " <td id=\"T_ade5a_row20_col0\" class=\"data row20 col0\" >pres</td>\n", - " <td id=\"T_ade5a_row20_col1\" class=\"data row20 col1\" >Pression station</td>\n", - " <td id=\"T_ade5a_row20_col2\" class=\"data row20 col2\" >0</td>\n", + " <th id=\"T_57323_level0_row20\" class=\"row_heading level0 row20\" >20</th>\n", + " <td id=\"T_57323_row20_col0\" class=\"data row20 col0\" >pres</td>\n", + " <td id=\"T_57323_row20_col1\" class=\"data row20 col1\" >Pression station</td>\n", + " <td id=\"T_57323_row20_col2\" class=\"data row20 col2\" >0</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row21\" class=\"row_heading level0 row21\" >21</th>\n", - " <td id=\"T_ade5a_row21_col0\" class=\"data row21 col0\" >niv_bar</td>\n", - " <td id=\"T_ade5a_row21_col1\" class=\"data row21 col1\" >Niveau barométrique</td>\n", - " <td id=\"T_ade5a_row21_col2\" class=\"data row21 col2\" >29165</td>\n", + " <th id=\"T_57323_level0_row21\" class=\"row_heading level0 row21\" >21</th>\n", + " <td id=\"T_57323_row21_col0\" class=\"data row21 col0\" >niv_bar</td>\n", + " <td id=\"T_57323_row21_col1\" class=\"data row21 col1\" >Niveau barométrique</td>\n", + " <td id=\"T_57323_row21_col2\" class=\"data row21 col2\" >29165</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row22\" class=\"row_heading level0 row22\" >22</th>\n", - " <td id=\"T_ade5a_row22_col0\" class=\"data row22 col0\" >geop</td>\n", - " <td id=\"T_ade5a_row22_col1\" class=\"data row22 col1\" >Géopotentiel</td>\n", - " <td id=\"T_ade5a_row22_col2\" class=\"data row22 col2\" >29165</td>\n", + " <th id=\"T_57323_level0_row22\" class=\"row_heading level0 row22\" >22</th>\n", + " <td id=\"T_57323_row22_col0\" class=\"data row22 col0\" >geop</td>\n", + " <td id=\"T_57323_row22_col1\" class=\"data row22 col1\" >Géopotentiel</td>\n", + " <td id=\"T_57323_row22_col2\" class=\"data row22 col2\" >29165</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row23\" class=\"row_heading level0 row23\" >23</th>\n", - " <td id=\"T_ade5a_row23_col0\" class=\"data row23 col0\" >tend24</td>\n", - " <td id=\"T_ade5a_row23_col1\" class=\"data row23 col1\" >Variation de pression en 24 heures</td>\n", - " <td id=\"T_ade5a_row23_col2\" class=\"data row23 col2\" >14443</td>\n", + " <th id=\"T_57323_level0_row23\" class=\"row_heading level0 row23\" >23</th>\n", + " <td id=\"T_57323_row23_col0\" class=\"data row23 col0\" >tend24</td>\n", + " <td id=\"T_57323_row23_col1\" class=\"data row23 col1\" >Variation de pression en 24 heures</td>\n", + " <td id=\"T_57323_row23_col2\" class=\"data row23 col2\" >14443</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row24\" class=\"row_heading level0 row24\" >24</th>\n", - " <td id=\"T_ade5a_row24_col0\" class=\"data row24 col0\" >tn12</td>\n", - " <td id=\"T_ade5a_row24_col1\" class=\"data row24 col1\" >Température minimale sur 12 heures</td>\n", - " <td id=\"T_ade5a_row24_col2\" class=\"data row24 col2\" >21883</td>\n", + " <th id=\"T_57323_level0_row24\" class=\"row_heading level0 row24\" >24</th>\n", + " <td id=\"T_57323_row24_col0\" class=\"data row24 col0\" >tn12</td>\n", + " <td id=\"T_57323_row24_col1\" class=\"data row24 col1\" >Température minimale sur 12 heures</td>\n", + " <td id=\"T_57323_row24_col2\" class=\"data row24 col2\" >21883</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row25\" class=\"row_heading level0 row25\" >25</th>\n", - " <td id=\"T_ade5a_row25_col0\" class=\"data row25 col0\" >tn24</td>\n", - " <td id=\"T_ade5a_row25_col1\" class=\"data row25 col1\" >Température minimale sur 24 heures</td>\n", - " <td id=\"T_ade5a_row25_col2\" class=\"data row25 col2\" >29165</td>\n", + " <th id=\"T_57323_level0_row25\" class=\"row_heading level0 row25\" >25</th>\n", + " <td id=\"T_57323_row25_col0\" class=\"data row25 col0\" >tn24</td>\n", + " <td id=\"T_57323_row25_col1\" class=\"data row25 col1\" >Température minimale sur 24 heures</td>\n", + " <td id=\"T_57323_row25_col2\" class=\"data row25 col2\" >29165</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row26\" class=\"row_heading level0 row26\" >26</th>\n", - " <td id=\"T_ade5a_row26_col0\" class=\"data row26 col0\" >tx12</td>\n", - " <td id=\"T_ade5a_row26_col1\" class=\"data row26 col1\" >Température maximale sur 12 heures</td>\n", - " <td id=\"T_ade5a_row26_col2\" class=\"data row26 col2\" >21883</td>\n", + " <th id=\"T_57323_level0_row26\" class=\"row_heading level0 row26\" >26</th>\n", + " <td id=\"T_57323_row26_col0\" class=\"data row26 col0\" >tx12</td>\n", + " <td id=\"T_57323_row26_col1\" class=\"data row26 col1\" >Température maximale sur 12 heures</td>\n", + " <td id=\"T_57323_row26_col2\" class=\"data row26 col2\" >21883</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row27\" class=\"row_heading level0 row27\" >27</th>\n", - " <td id=\"T_ade5a_row27_col0\" class=\"data row27 col0\" >tx24</td>\n", - " <td id=\"T_ade5a_row27_col1\" class=\"data row27 col1\" >Température maximale sur 24 heures</td>\n", - " <td id=\"T_ade5a_row27_col2\" class=\"data row27 col2\" >29165</td>\n", + " <th id=\"T_57323_level0_row27\" class=\"row_heading level0 row27\" >27</th>\n", + " <td id=\"T_57323_row27_col0\" class=\"data row27 col0\" >tx24</td>\n", + " <td id=\"T_57323_row27_col1\" class=\"data row27 col1\" >Température maximale sur 24 heures</td>\n", + " <td id=\"T_57323_row27_col2\" class=\"data row27 col2\" >29165</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row28\" class=\"row_heading level0 row28\" >28</th>\n", - " <td id=\"T_ade5a_row28_col0\" class=\"data row28 col0\" >tminsol</td>\n", - " <td id=\"T_ade5a_row28_col1\" class=\"data row28 col1\" >Température minimale du sol sur 12 heures</td>\n", - " <td id=\"T_ade5a_row28_col2\" class=\"data row28 col2\" >27364</td>\n", + " <th id=\"T_57323_level0_row28\" class=\"row_heading level0 row28\" >28</th>\n", + " <td id=\"T_57323_row28_col0\" class=\"data row28 col0\" >tminsol</td>\n", + " <td id=\"T_57323_row28_col1\" class=\"data row28 col1\" >Température minimale du sol sur 12 heures</td>\n", + " <td id=\"T_57323_row28_col2\" class=\"data row28 col2\" >27364</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row29\" class=\"row_heading level0 row29\" >29</th>\n", - " <td id=\"T_ade5a_row29_col0\" class=\"data row29 col0\" >sw</td>\n", - " <td id=\"T_ade5a_row29_col1\" class=\"data row29 col1\" >Méthode de mesure Température du thermomètre mouillé</td>\n", - " <td id=\"T_ade5a_row29_col2\" class=\"data row29 col2\" >29165</td>\n", + " <th id=\"T_57323_level0_row29\" class=\"row_heading level0 row29\" >29</th>\n", + " <td id=\"T_57323_row29_col0\" class=\"data row29 col0\" >sw</td>\n", + " <td id=\"T_57323_row29_col1\" class=\"data row29 col1\" >Méthode de mesure Température du thermomètre mouillé</td>\n", + " <td id=\"T_57323_row29_col2\" class=\"data row29 col2\" >29165</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row30\" class=\"row_heading level0 row30\" >30</th>\n", - " <td id=\"T_ade5a_row30_col0\" class=\"data row30 col0\" >tw</td>\n", - " <td id=\"T_ade5a_row30_col1\" class=\"data row30 col1\" >Température du thermomètre mouillé</td>\n", - " <td id=\"T_ade5a_row30_col2\" class=\"data row30 col2\" >29165</td>\n", + " <th id=\"T_57323_level0_row30\" class=\"row_heading level0 row30\" >30</th>\n", + " <td id=\"T_57323_row30_col0\" class=\"data row30 col0\" >tw</td>\n", + " <td id=\"T_57323_row30_col1\" class=\"data row30 col1\" >Température du thermomètre mouillé</td>\n", + " <td id=\"T_57323_row30_col2\" class=\"data row30 col2\" >29165</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row31\" class=\"row_heading level0 row31\" >31</th>\n", - " <td id=\"T_ade5a_row31_col0\" class=\"data row31 col0\" >raf10</td>\n", - " <td id=\"T_ade5a_row31_col1\" class=\"data row31 col1\" >Rafale sur les 10 dernières minutes</td>\n", - " <td id=\"T_ade5a_row31_col2\" class=\"data row31 col2\" >14127</td>\n", + " <th id=\"T_57323_level0_row31\" class=\"row_heading level0 row31\" >31</th>\n", + " <td id=\"T_57323_row31_col0\" class=\"data row31 col0\" >raf10</td>\n", + " <td id=\"T_57323_row31_col1\" class=\"data row31 col1\" >Rafale sur les 10 dernières minutes</td>\n", + " <td id=\"T_57323_row31_col2\" class=\"data row31 col2\" >14127</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row32\" class=\"row_heading level0 row32\" >32</th>\n", - " <td id=\"T_ade5a_row32_col0\" class=\"data row32 col0\" >rafper</td>\n", - " <td id=\"T_ade5a_row32_col1\" class=\"data row32 col1\" >Rafales sur une période</td>\n", - " <td id=\"T_ade5a_row32_col2\" class=\"data row32 col2\" >9</td>\n", + " <th id=\"T_57323_level0_row32\" class=\"row_heading level0 row32\" >32</th>\n", + " <td id=\"T_57323_row32_col0\" class=\"data row32 col0\" >rafper</td>\n", + " <td id=\"T_57323_row32_col1\" class=\"data row32 col1\" >Rafales sur une période</td>\n", + " <td id=\"T_57323_row32_col2\" class=\"data row32 col2\" >9</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row33\" class=\"row_heading level0 row33\" >33</th>\n", - " <td id=\"T_ade5a_row33_col0\" class=\"data row33 col0\" >per</td>\n", - " <td id=\"T_ade5a_row33_col1\" class=\"data row33 col1\" >Periode de mesure de la rafale</td>\n", - " <td id=\"T_ade5a_row33_col2\" class=\"data row33 col2\" >8</td>\n", + " <th id=\"T_57323_level0_row33\" class=\"row_heading level0 row33\" >33</th>\n", + " <td id=\"T_57323_row33_col0\" class=\"data row33 col0\" >per</td>\n", + " <td id=\"T_57323_row33_col1\" class=\"data row33 col1\" >Periode de mesure de la rafale</td>\n", + " <td id=\"T_57323_row33_col2\" class=\"data row33 col2\" >8</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row34\" class=\"row_heading level0 row34\" >34</th>\n", - " <td id=\"T_ade5a_row34_col0\" class=\"data row34 col0\" >etat_sol</td>\n", - " <td id=\"T_ade5a_row34_col1\" class=\"data row34 col1\" >Etat du sol</td>\n", - " <td id=\"T_ade5a_row34_col2\" class=\"data row34 col2\" >12278</td>\n", + " <th id=\"T_57323_level0_row34\" class=\"row_heading level0 row34\" >34</th>\n", + " <td id=\"T_57323_row34_col0\" class=\"data row34 col0\" >etat_sol</td>\n", + " <td id=\"T_57323_row34_col1\" class=\"data row34 col1\" >Etat du sol</td>\n", + " <td id=\"T_57323_row34_col2\" class=\"data row34 col2\" >12278</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row35\" class=\"row_heading level0 row35\" >35</th>\n", - " <td id=\"T_ade5a_row35_col0\" class=\"data row35 col0\" >ht_neige</td>\n", - " <td id=\"T_ade5a_row35_col1\" class=\"data row35 col1\" >Hauteur totale de la couche de neige, glace, autre au sol</td>\n", - " <td id=\"T_ade5a_row35_col2\" class=\"data row35 col2\" >12083</td>\n", + " <th id=\"T_57323_level0_row35\" class=\"row_heading level0 row35\" >35</th>\n", + " <td id=\"T_57323_row35_col0\" class=\"data row35 col0\" >ht_neige</td>\n", + " <td id=\"T_57323_row35_col1\" class=\"data row35 col1\" >Hauteur totale de la couche de neige, glace, autre au sol</td>\n", + " <td id=\"T_57323_row35_col2\" class=\"data row35 col2\" >12083</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row36\" class=\"row_heading level0 row36\" >36</th>\n", - " <td id=\"T_ade5a_row36_col0\" class=\"data row36 col0\" >ssfrai</td>\n", - " <td id=\"T_ade5a_row36_col1\" class=\"data row36 col1\" >Hauteur de la neige fraîche</td>\n", - " <td id=\"T_ade5a_row36_col2\" class=\"data row36 col2\" >2914</td>\n", + " <th id=\"T_57323_level0_row36\" class=\"row_heading level0 row36\" >36</th>\n", + " <td id=\"T_57323_row36_col0\" class=\"data row36 col0\" >ssfrai</td>\n", + " <td id=\"T_57323_row36_col1\" class=\"data row36 col1\" >Hauteur de la neige fraîche</td>\n", + " <td id=\"T_57323_row36_col2\" class=\"data row36 col2\" >2914</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row37\" class=\"row_heading level0 row37\" >37</th>\n", - " <td id=\"T_ade5a_row37_col0\" class=\"data row37 col0\" >perssfrai</td>\n", - " <td id=\"T_ade5a_row37_col1\" class=\"data row37 col1\" >Periode de mesure de la neige fraiche</td>\n", - " <td id=\"T_ade5a_row37_col2\" class=\"data row37 col2\" >4489</td>\n", + " <th id=\"T_57323_level0_row37\" class=\"row_heading level0 row37\" >37</th>\n", + " <td id=\"T_57323_row37_col0\" class=\"data row37 col0\" >perssfrai</td>\n", + " <td id=\"T_57323_row37_col1\" class=\"data row37 col1\" >Periode de mesure de la neige fraiche</td>\n", + " <td id=\"T_57323_row37_col2\" class=\"data row37 col2\" >4489</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row38\" class=\"row_heading level0 row38\" >38</th>\n", - " <td id=\"T_ade5a_row38_col0\" class=\"data row38 col0\" >rr1</td>\n", - " <td id=\"T_ade5a_row38_col1\" class=\"data row38 col1\" >Précipitations dans la dernière heure</td>\n", - " <td id=\"T_ade5a_row38_col2\" class=\"data row38 col2\" >95</td>\n", + " <th id=\"T_57323_level0_row38\" class=\"row_heading level0 row38\" >38</th>\n", + " <td id=\"T_57323_row38_col0\" class=\"data row38 col0\" >rr1</td>\n", + " <td id=\"T_57323_row38_col1\" class=\"data row38 col1\" >Précipitations dans la dernière heure</td>\n", + " <td id=\"T_57323_row38_col2\" class=\"data row38 col2\" >95</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row39\" class=\"row_heading level0 row39\" >39</th>\n", - " <td id=\"T_ade5a_row39_col0\" class=\"data row39 col0\" >rr3</td>\n", - " <td id=\"T_ade5a_row39_col1\" class=\"data row39 col1\" >Précipitations dans les 3 dernières heures</td>\n", - " <td id=\"T_ade5a_row39_col2\" class=\"data row39 col2\" >73</td>\n", + " <th id=\"T_57323_level0_row39\" class=\"row_heading level0 row39\" >39</th>\n", + " <td id=\"T_57323_row39_col0\" class=\"data row39 col0\" >rr3</td>\n", + " <td id=\"T_57323_row39_col1\" class=\"data row39 col1\" >Précipitations dans les 3 dernières heures</td>\n", + " <td id=\"T_57323_row39_col2\" class=\"data row39 col2\" >73</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row40\" class=\"row_heading level0 row40\" >40</th>\n", - " <td id=\"T_ade5a_row40_col0\" class=\"data row40 col0\" >rr6</td>\n", - " <td id=\"T_ade5a_row40_col1\" class=\"data row40 col1\" >Précipitations dans les 6 dernières heures</td>\n", - " <td id=\"T_ade5a_row40_col2\" class=\"data row40 col2\" >10869</td>\n", + " <th id=\"T_57323_level0_row40\" class=\"row_heading level0 row40\" >40</th>\n", + " <td id=\"T_57323_row40_col0\" class=\"data row40 col0\" >rr6</td>\n", + " <td id=\"T_57323_row40_col1\" class=\"data row40 col1\" >Précipitations dans les 6 dernières heures</td>\n", + " <td id=\"T_57323_row40_col2\" class=\"data row40 col2\" >10869</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row41\" class=\"row_heading level0 row41\" >41</th>\n", - " <td id=\"T_ade5a_row41_col0\" class=\"data row41 col0\" >rr12</td>\n", - " <td id=\"T_ade5a_row41_col1\" class=\"data row41 col1\" >Précipitations dans les 12 dernières heures</td>\n", - " <td id=\"T_ade5a_row41_col2\" class=\"data row41 col2\" >10919</td>\n", + " <th id=\"T_57323_level0_row41\" class=\"row_heading level0 row41\" >41</th>\n", + " <td id=\"T_57323_row41_col0\" class=\"data row41 col0\" >rr12</td>\n", + " <td id=\"T_57323_row41_col1\" class=\"data row41 col1\" >Précipitations dans les 12 dernières heures</td>\n", + " <td id=\"T_57323_row41_col2\" class=\"data row41 col2\" >10919</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row42\" class=\"row_heading level0 row42\" >42</th>\n", - " <td id=\"T_ade5a_row42_col0\" class=\"data row42 col0\" >rr24</td>\n", - " <td id=\"T_ade5a_row42_col1\" class=\"data row42 col1\" >Précipitations dans les 24 dernières heures</td>\n", - " <td id=\"T_ade5a_row42_col2\" class=\"data row42 col2\" >12730</td>\n", + " <th id=\"T_57323_level0_row42\" class=\"row_heading level0 row42\" >42</th>\n", + " <td id=\"T_57323_row42_col0\" class=\"data row42 col0\" >rr24</td>\n", + " <td id=\"T_57323_row42_col1\" class=\"data row42 col1\" >Précipitations dans les 24 dernières heures</td>\n", + " <td id=\"T_57323_row42_col2\" class=\"data row42 col2\" >12730</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row43\" class=\"row_heading level0 row43\" >43</th>\n", - " <td id=\"T_ade5a_row43_col0\" class=\"data row43 col0\" >phenspe1</td>\n", - " <td id=\"T_ade5a_row43_col1\" class=\"data row43 col1\" >Phénomène spécial 1</td>\n", - " <td id=\"T_ade5a_row43_col2\" class=\"data row43 col2\" >14818</td>\n", + " <th id=\"T_57323_level0_row43\" class=\"row_heading level0 row43\" >43</th>\n", + " <td id=\"T_57323_row43_col0\" class=\"data row43 col0\" >phenspe1</td>\n", + " <td id=\"T_57323_row43_col1\" class=\"data row43 col1\" >Phénomène spécial 1</td>\n", + " <td id=\"T_57323_row43_col2\" class=\"data row43 col2\" >14818</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row44\" class=\"row_heading level0 row44\" >44</th>\n", - " <td id=\"T_ade5a_row44_col0\" class=\"data row44 col0\" >phenspe2</td>\n", - " <td id=\"T_ade5a_row44_col1\" class=\"data row44 col1\" >Phénomène spécial 2</td>\n", - " <td id=\"T_ade5a_row44_col2\" class=\"data row44 col2\" >14826</td>\n", + " <th id=\"T_57323_level0_row44\" class=\"row_heading level0 row44\" >44</th>\n", + " <td id=\"T_57323_row44_col0\" class=\"data row44 col0\" >phenspe2</td>\n", + " <td id=\"T_57323_row44_col1\" class=\"data row44 col1\" >Phénomène spécial 2</td>\n", + " <td id=\"T_57323_row44_col2\" class=\"data row44 col2\" >14826</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row45\" class=\"row_heading level0 row45\" >45</th>\n", - " <td id=\"T_ade5a_row45_col0\" class=\"data row45 col0\" >phenspe3</td>\n", - " <td id=\"T_ade5a_row45_col1\" class=\"data row45 col1\" >Phénomène spécial 3</td>\n", - " <td id=\"T_ade5a_row45_col2\" class=\"data row45 col2\" >15515</td>\n", + " <th id=\"T_57323_level0_row45\" class=\"row_heading level0 row45\" >45</th>\n", + " <td id=\"T_57323_row45_col0\" class=\"data row45 col0\" >phenspe3</td>\n", + " <td id=\"T_57323_row45_col1\" class=\"data row45 col1\" >Phénomène spécial 3</td>\n", + " <td id=\"T_57323_row45_col2\" class=\"data row45 col2\" >15515</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row46\" class=\"row_heading level0 row46\" >46</th>\n", - " <td id=\"T_ade5a_row46_col0\" class=\"data row46 col0\" >phenspe4</td>\n", - " <td id=\"T_ade5a_row46_col1\" class=\"data row46 col1\" >Phénomène spécial 4</td>\n", - " <td id=\"T_ade5a_row46_col2\" class=\"data row46 col2\" >28869</td>\n", + " <th id=\"T_57323_level0_row46\" class=\"row_heading level0 row46\" >46</th>\n", + " <td id=\"T_57323_row46_col0\" class=\"data row46 col0\" >phenspe4</td>\n", + " <td id=\"T_57323_row46_col1\" class=\"data row46 col1\" >Phénomène spécial 4</td>\n", + " <td id=\"T_57323_row46_col2\" class=\"data row46 col2\" >28869</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row47\" class=\"row_heading level0 row47\" >47</th>\n", - " <td id=\"T_ade5a_row47_col0\" class=\"data row47 col0\" >nnuage1</td>\n", - " <td id=\"T_ade5a_row47_col1\" class=\"data row47 col1\" >Nébulosité couche nuageuse 1</td>\n", - " <td id=\"T_ade5a_row47_col2\" class=\"data row47 col2\" >4753</td>\n", + " <th id=\"T_57323_level0_row47\" class=\"row_heading level0 row47\" >47</th>\n", + " <td id=\"T_57323_row47_col0\" class=\"data row47 col0\" >nnuage1</td>\n", + " <td id=\"T_57323_row47_col1\" class=\"data row47 col1\" >Nébulosité couche nuageuse 1</td>\n", + " <td id=\"T_57323_row47_col2\" class=\"data row47 col2\" >4753</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row48\" class=\"row_heading level0 row48\" >48</th>\n", - " <td id=\"T_ade5a_row48_col0\" class=\"data row48 col0\" >ctype1</td>\n", - " <td id=\"T_ade5a_row48_col1\" class=\"data row48 col1\" >Type nuage 1</td>\n", - " <td id=\"T_ade5a_row48_col2\" class=\"data row48 col2\" >5699</td>\n", + " <th id=\"T_57323_level0_row48\" class=\"row_heading level0 row48\" >48</th>\n", + " <td id=\"T_57323_row48_col0\" class=\"data row48 col0\" >ctype1</td>\n", + " <td id=\"T_57323_row48_col1\" class=\"data row48 col1\" >Type nuage 1</td>\n", + " <td id=\"T_57323_row48_col2\" class=\"data row48 col2\" >5699</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row49\" class=\"row_heading level0 row49\" >49</th>\n", - " <td id=\"T_ade5a_row49_col0\" class=\"data row49 col0\" >hnuage1</td>\n", - " <td id=\"T_ade5a_row49_col1\" class=\"data row49 col1\" >Hauteur de base 1</td>\n", - " <td id=\"T_ade5a_row49_col2\" class=\"data row49 col2\" >5439</td>\n", + " <th id=\"T_57323_level0_row49\" class=\"row_heading level0 row49\" >49</th>\n", + " <td id=\"T_57323_row49_col0\" class=\"data row49 col0\" >hnuage1</td>\n", + " <td id=\"T_57323_row49_col1\" class=\"data row49 col1\" >Hauteur de base 1</td>\n", + " <td id=\"T_57323_row49_col2\" class=\"data row49 col2\" >5439</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row50\" class=\"row_heading level0 row50\" >50</th>\n", - " <td id=\"T_ade5a_row50_col0\" class=\"data row50 col0\" >nnuage2</td>\n", - " <td id=\"T_ade5a_row50_col1\" class=\"data row50 col1\" >Nébulosité couche nuageuse 2</td>\n", - " <td id=\"T_ade5a_row50_col2\" class=\"data row50 col2\" >16112</td>\n", + " <th id=\"T_57323_level0_row50\" class=\"row_heading level0 row50\" >50</th>\n", + " <td id=\"T_57323_row50_col0\" class=\"data row50 col0\" >nnuage2</td>\n", + " <td id=\"T_57323_row50_col1\" class=\"data row50 col1\" >Nébulosité couche nuageuse 2</td>\n", + " <td id=\"T_57323_row50_col2\" class=\"data row50 col2\" >16112</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row51\" class=\"row_heading level0 row51\" >51</th>\n", - " <td id=\"T_ade5a_row51_col0\" class=\"data row51 col0\" >ctype2</td>\n", - " <td id=\"T_ade5a_row51_col1\" class=\"data row51 col1\" >Type nuage 2</td>\n", - " <td id=\"T_ade5a_row51_col2\" class=\"data row51 col2\" >16643</td>\n", + " <th id=\"T_57323_level0_row51\" class=\"row_heading level0 row51\" >51</th>\n", + " <td id=\"T_57323_row51_col0\" class=\"data row51 col0\" >ctype2</td>\n", + " <td id=\"T_57323_row51_col1\" class=\"data row51 col1\" >Type nuage 2</td>\n", + " <td id=\"T_57323_row51_col2\" class=\"data row51 col2\" >16643</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row52\" class=\"row_heading level0 row52\" >52</th>\n", - " <td id=\"T_ade5a_row52_col0\" class=\"data row52 col0\" >hnuage2</td>\n", - " <td id=\"T_ade5a_row52_col1\" class=\"data row52 col1\" >Hauteur de base 2</td>\n", - " <td id=\"T_ade5a_row52_col2\" class=\"data row52 col2\" >16317</td>\n", + " <th id=\"T_57323_level0_row52\" class=\"row_heading level0 row52\" >52</th>\n", + " <td id=\"T_57323_row52_col0\" class=\"data row52 col0\" >hnuage2</td>\n", + " <td id=\"T_57323_row52_col1\" class=\"data row52 col1\" >Hauteur de base 2</td>\n", + " <td id=\"T_57323_row52_col2\" class=\"data row52 col2\" >16317</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row53\" class=\"row_heading level0 row53\" >53</th>\n", - " <td id=\"T_ade5a_row53_col0\" class=\"data row53 col0\" >nnuage3</td>\n", - " <td id=\"T_ade5a_row53_col1\" class=\"data row53 col1\" >Nébulosité couche nuageuse 3</td>\n", - " <td id=\"T_ade5a_row53_col2\" class=\"data row53 col2\" >25387</td>\n", + " <th id=\"T_57323_level0_row53\" class=\"row_heading level0 row53\" >53</th>\n", + " <td id=\"T_57323_row53_col0\" class=\"data row53 col0\" >nnuage3</td>\n", + " <td id=\"T_57323_row53_col1\" class=\"data row53 col1\" >Nébulosité couche nuageuse 3</td>\n", + " <td id=\"T_57323_row53_col2\" class=\"data row53 col2\" >25387</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row54\" class=\"row_heading level0 row54\" >54</th>\n", - " <td id=\"T_ade5a_row54_col0\" class=\"data row54 col0\" >ctype3</td>\n", - " <td id=\"T_ade5a_row54_col1\" class=\"data row54 col1\" >Type nuage 3</td>\n", - " <td id=\"T_ade5a_row54_col2\" class=\"data row54 col2\" >25642</td>\n", + " <th id=\"T_57323_level0_row54\" class=\"row_heading level0 row54\" >54</th>\n", + " <td id=\"T_57323_row54_col0\" class=\"data row54 col0\" >ctype3</td>\n", + " <td id=\"T_57323_row54_col1\" class=\"data row54 col1\" >Type nuage 3</td>\n", + " <td id=\"T_57323_row54_col2\" class=\"data row54 col2\" >25642</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row55\" class=\"row_heading level0 row55\" >55</th>\n", - " <td id=\"T_ade5a_row55_col0\" class=\"data row55 col0\" >hnuage3</td>\n", - " <td id=\"T_ade5a_row55_col1\" class=\"data row55 col1\" >Hauteur de base 3</td>\n", - " <td id=\"T_ade5a_row55_col2\" class=\"data row55 col2\" >25431</td>\n", + " <th id=\"T_57323_level0_row55\" class=\"row_heading level0 row55\" >55</th>\n", + " <td id=\"T_57323_row55_col0\" class=\"data row55 col0\" >hnuage3</td>\n", + " <td id=\"T_57323_row55_col1\" class=\"data row55 col1\" >Hauteur de base 3</td>\n", + " <td id=\"T_57323_row55_col2\" class=\"data row55 col2\" >25431</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row56\" class=\"row_heading level0 row56\" >56</th>\n", - " <td id=\"T_ade5a_row56_col0\" class=\"data row56 col0\" >nnuage4</td>\n", - " <td id=\"T_ade5a_row56_col1\" class=\"data row56 col1\" >Nébulosité couche nuageuse 4</td>\n", - " <td id=\"T_ade5a_row56_col2\" class=\"data row56 col2\" >28850</td>\n", + " <th id=\"T_57323_level0_row56\" class=\"row_heading level0 row56\" >56</th>\n", + " <td id=\"T_57323_row56_col0\" class=\"data row56 col0\" >nnuage4</td>\n", + " <td id=\"T_57323_row56_col1\" class=\"data row56 col1\" >Nébulosité couche nuageuse 4</td>\n", + " <td id=\"T_57323_row56_col2\" class=\"data row56 col2\" >28850</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row57\" class=\"row_heading level0 row57\" >57</th>\n", - " <td id=\"T_ade5a_row57_col0\" class=\"data row57 col0\" >ctype4</td>\n", - " <td id=\"T_ade5a_row57_col1\" class=\"data row57 col1\" >Type nuage 4</td>\n", - " <td id=\"T_ade5a_row57_col2\" class=\"data row57 col2\" >28780</td>\n", + " <th id=\"T_57323_level0_row57\" class=\"row_heading level0 row57\" >57</th>\n", + " <td id=\"T_57323_row57_col0\" class=\"data row57 col0\" >ctype4</td>\n", + " <td id=\"T_57323_row57_col1\" class=\"data row57 col1\" >Type nuage 4</td>\n", + " <td id=\"T_57323_row57_col2\" class=\"data row57 col2\" >28780</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row58\" class=\"row_heading level0 row58\" >58</th>\n", - " <td id=\"T_ade5a_row58_col0\" class=\"data row58 col0\" >hnuage4</td>\n", - " <td id=\"T_ade5a_row58_col1\" class=\"data row58 col1\" >Hauteur de base 4</td>\n", - " <td id=\"T_ade5a_row58_col2\" class=\"data row58 col2\" >28850</td>\n", + " <th id=\"T_57323_level0_row58\" class=\"row_heading level0 row58\" >58</th>\n", + " <td id=\"T_57323_row58_col0\" class=\"data row58 col0\" >hnuage4</td>\n", + " <td id=\"T_57323_row58_col1\" class=\"data row58 col1\" >Hauteur de base 4</td>\n", + " <td id=\"T_57323_row58_col2\" class=\"data row58 col2\" >28850</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row59\" class=\"row_heading level0 row59\" >59</th>\n", - " <td id=\"T_ade5a_row59_col0\" class=\"data row59 col0\" >coordonnees</td>\n", - " <td id=\"T_ade5a_row59_col1\" class=\"data row59 col1\" >Coordonnees</td>\n", - " <td id=\"T_ade5a_row59_col2\" class=\"data row59 col2\" >0</td>\n", + " <th id=\"T_57323_level0_row59\" class=\"row_heading level0 row59\" >59</th>\n", + " <td id=\"T_57323_row59_col0\" class=\"data row59 col0\" >coordonnees</td>\n", + " <td id=\"T_57323_row59_col1\" class=\"data row59 col1\" >Coordonnees</td>\n", + " <td id=\"T_57323_row59_col2\" class=\"data row59 col2\" >0</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row60\" class=\"row_heading level0 row60\" >60</th>\n", - " <td id=\"T_ade5a_row60_col0\" class=\"data row60 col0\" >nom</td>\n", - " <td id=\"T_ade5a_row60_col1\" class=\"data row60 col1\" >Nom</td>\n", - " <td id=\"T_ade5a_row60_col2\" class=\"data row60 col2\" >0</td>\n", + " <th id=\"T_57323_level0_row60\" class=\"row_heading level0 row60\" >60</th>\n", + " <td id=\"T_57323_row60_col0\" class=\"data row60 col0\" >nom</td>\n", + " <td id=\"T_57323_row60_col1\" class=\"data row60 col1\" >Nom</td>\n", + " <td id=\"T_57323_row60_col2\" class=\"data row60 col2\" >0</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row61\" class=\"row_heading level0 row61\" >61</th>\n", - " <td id=\"T_ade5a_row61_col0\" class=\"data row61 col0\" >type_de_tendance_barometrique</td>\n", - " <td id=\"T_ade5a_row61_col1\" class=\"data row61 col1\" >Type de tendance barométrique.1</td>\n", - " <td id=\"T_ade5a_row61_col2\" class=\"data row61 col2\" >2</td>\n", + " <th id=\"T_57323_level0_row61\" class=\"row_heading level0 row61\" >61</th>\n", + " <td id=\"T_57323_row61_col0\" class=\"data row61 col0\" >type_de_tendance_barometrique</td>\n", + " <td id=\"T_57323_row61_col1\" class=\"data row61 col1\" >Type de tendance barométrique.1</td>\n", + " <td id=\"T_57323_row61_col2\" class=\"data row61 col2\" >2</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row62\" class=\"row_heading level0 row62\" >62</th>\n", - " <td id=\"T_ade5a_row62_col0\" class=\"data row62 col0\" >temps_passe_1</td>\n", - " <td id=\"T_ade5a_row62_col1\" class=\"data row62 col1\" >Temps passé 1.1</td>\n", - " <td id=\"T_ade5a_row62_col2\" class=\"data row62 col2\" >542</td>\n", + " <th id=\"T_57323_level0_row62\" class=\"row_heading level0 row62\" >62</th>\n", + " <td id=\"T_57323_row62_col0\" class=\"data row62 col0\" >temps_passe_1</td>\n", + " <td id=\"T_57323_row62_col1\" class=\"data row62 col1\" >Temps passé 1.1</td>\n", + " <td id=\"T_57323_row62_col2\" class=\"data row62 col2\" >542</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row63\" class=\"row_heading level0 row63\" >63</th>\n", - " <td id=\"T_ade5a_row63_col0\" class=\"data row63 col0\" >temps_present</td>\n", - " <td id=\"T_ade5a_row63_col1\" class=\"data row63 col1\" >Temps présent.1</td>\n", - " <td id=\"T_ade5a_row63_col2\" class=\"data row63 col2\" >1</td>\n", + " <th id=\"T_57323_level0_row63\" class=\"row_heading level0 row63\" >63</th>\n", + " <td id=\"T_57323_row63_col0\" class=\"data row63 col0\" >temps_present</td>\n", + " <td id=\"T_57323_row63_col1\" class=\"data row63 col1\" >Temps présent.1</td>\n", + " <td id=\"T_57323_row63_col2\" class=\"data row63 col2\" >1</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row64\" class=\"row_heading level0 row64\" >64</th>\n", - " <td id=\"T_ade5a_row64_col0\" class=\"data row64 col0\" >tc</td>\n", - " <td id=\"T_ade5a_row64_col1\" class=\"data row64 col1\" >Température (°C)</td>\n", - " <td id=\"T_ade5a_row64_col2\" class=\"data row64 col2\" >14</td>\n", + " <th id=\"T_57323_level0_row64\" class=\"row_heading level0 row64\" >64</th>\n", + " <td id=\"T_57323_row64_col0\" class=\"data row64 col0\" >tc</td>\n", + " <td id=\"T_57323_row64_col1\" class=\"data row64 col1\" >Température (°C)</td>\n", + " <td id=\"T_57323_row64_col2\" class=\"data row64 col2\" >14</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row65\" class=\"row_heading level0 row65\" >65</th>\n", - " <td id=\"T_ade5a_row65_col0\" class=\"data row65 col0\" >tn12c</td>\n", - " <td id=\"T_ade5a_row65_col1\" class=\"data row65 col1\" >Température minimale sur 12 heures (°C)</td>\n", - " <td id=\"T_ade5a_row65_col2\" class=\"data row65 col2\" >21883</td>\n", + " <th id=\"T_57323_level0_row65\" class=\"row_heading level0 row65\" >65</th>\n", + " <td id=\"T_57323_row65_col0\" class=\"data row65 col0\" >tn12c</td>\n", + " <td id=\"T_57323_row65_col1\" class=\"data row65 col1\" >Température minimale sur 12 heures (°C)</td>\n", + " <td id=\"T_57323_row65_col2\" class=\"data row65 col2\" >21883</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row66\" class=\"row_heading level0 row66\" >66</th>\n", - " <td id=\"T_ade5a_row66_col0\" class=\"data row66 col0\" >tn24c</td>\n", - " <td id=\"T_ade5a_row66_col1\" class=\"data row66 col1\" >Température minimale sur 24 heures (°C)</td>\n", - " <td id=\"T_ade5a_row66_col2\" class=\"data row66 col2\" >29165</td>\n", + " <th id=\"T_57323_level0_row66\" class=\"row_heading level0 row66\" >66</th>\n", + " <td id=\"T_57323_row66_col0\" class=\"data row66 col0\" >tn24c</td>\n", + " <td id=\"T_57323_row66_col1\" class=\"data row66 col1\" >Température minimale sur 24 heures (°C)</td>\n", + " <td id=\"T_57323_row66_col2\" class=\"data row66 col2\" >29165</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row67\" class=\"row_heading level0 row67\" >67</th>\n", - " <td id=\"T_ade5a_row67_col0\" class=\"data row67 col0\" >tx12c</td>\n", - " <td id=\"T_ade5a_row67_col1\" class=\"data row67 col1\" >Température maximale sur 12 heures (°C)</td>\n", - " <td id=\"T_ade5a_row67_col2\" class=\"data row67 col2\" >21883</td>\n", + " <th id=\"T_57323_level0_row67\" class=\"row_heading level0 row67\" >67</th>\n", + " <td id=\"T_57323_row67_col0\" class=\"data row67 col0\" >tx12c</td>\n", + " <td id=\"T_57323_row67_col1\" class=\"data row67 col1\" >Température maximale sur 12 heures (°C)</td>\n", + " <td id=\"T_57323_row67_col2\" class=\"data row67 col2\" >21883</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row68\" class=\"row_heading level0 row68\" >68</th>\n", - " <td id=\"T_ade5a_row68_col0\" class=\"data row68 col0\" >tx24c</td>\n", - " <td id=\"T_ade5a_row68_col1\" class=\"data row68 col1\" >Température maximale sur 24 heures (°C)</td>\n", - " <td id=\"T_ade5a_row68_col2\" class=\"data row68 col2\" >29165</td>\n", + " <th id=\"T_57323_level0_row68\" class=\"row_heading level0 row68\" >68</th>\n", + " <td id=\"T_57323_row68_col0\" class=\"data row68 col0\" >tx24c</td>\n", + " <td id=\"T_57323_row68_col1\" class=\"data row68 col1\" >Température maximale sur 24 heures (°C)</td>\n", + " <td id=\"T_57323_row68_col2\" class=\"data row68 col2\" >29165</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row69\" class=\"row_heading level0 row69\" >69</th>\n", - " <td id=\"T_ade5a_row69_col0\" class=\"data row69 col0\" >tminsolc</td>\n", - " <td id=\"T_ade5a_row69_col1\" class=\"data row69 col1\" >Température minimale du sol sur 12 heures (en °C)</td>\n", - " <td id=\"T_ade5a_row69_col2\" class=\"data row69 col2\" >27364</td>\n", + " <th id=\"T_57323_level0_row69\" class=\"row_heading level0 row69\" >69</th>\n", + " <td id=\"T_57323_row69_col0\" class=\"data row69 col0\" >tminsolc</td>\n", + " <td id=\"T_57323_row69_col1\" class=\"data row69 col1\" >Température minimale du sol sur 12 heures (en °C)</td>\n", + " <td id=\"T_57323_row69_col2\" class=\"data row69 col2\" >27364</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row70\" class=\"row_heading level0 row70\" >70</th>\n", - " <td id=\"T_ade5a_row70_col0\" class=\"data row70 col0\" >altitude</td>\n", - " <td id=\"T_ade5a_row70_col1\" class=\"data row70 col1\" >Altitude</td>\n", - " <td id=\"T_ade5a_row70_col2\" class=\"data row70 col2\" >0</td>\n", + " <th id=\"T_57323_level0_row70\" class=\"row_heading level0 row70\" >70</th>\n", + " <td id=\"T_57323_row70_col0\" class=\"data row70 col0\" >altitude</td>\n", + " <td id=\"T_57323_row70_col1\" class=\"data row70 col1\" >Altitude</td>\n", + " <td id=\"T_57323_row70_col2\" class=\"data row70 col2\" >0</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row71\" class=\"row_heading level0 row71\" >71</th>\n", - " <td id=\"T_ade5a_row71_col0\" class=\"data row71 col0\" >longitude</td>\n", - " <td id=\"T_ade5a_row71_col1\" class=\"data row71 col1\" >Longitude</td>\n", - " <td id=\"T_ade5a_row71_col2\" class=\"data row71 col2\" >0</td>\n", + " <th id=\"T_57323_level0_row71\" class=\"row_heading level0 row71\" >71</th>\n", + " <td id=\"T_57323_row71_col0\" class=\"data row71 col0\" >longitude</td>\n", + " <td id=\"T_57323_row71_col1\" class=\"data row71 col1\" >Longitude</td>\n", + " <td id=\"T_57323_row71_col2\" class=\"data row71 col2\" >0</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row72\" class=\"row_heading level0 row72\" >72</th>\n", - " <td id=\"T_ade5a_row72_col0\" class=\"data row72 col0\" >latitude</td>\n", - " <td id=\"T_ade5a_row72_col1\" class=\"data row72 col1\" >Latitude</td>\n", - " <td id=\"T_ade5a_row72_col2\" class=\"data row72 col2\" >0</td>\n", + " <th id=\"T_57323_level0_row72\" class=\"row_heading level0 row72\" >72</th>\n", + " <td id=\"T_57323_row72_col0\" class=\"data row72 col0\" >latitude</td>\n", + " <td id=\"T_57323_row72_col1\" class=\"data row72 col1\" >Latitude</td>\n", + " <td id=\"T_57323_row72_col2\" class=\"data row72 col2\" >0</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row73\" class=\"row_heading level0 row73\" >73</th>\n", - " <td id=\"T_ade5a_row73_col0\" class=\"data row73 col0\" >libgeo</td>\n", - " <td id=\"T_ade5a_row73_col1\" class=\"data row73 col1\" >communes (name)</td>\n", - " <td id=\"T_ade5a_row73_col2\" class=\"data row73 col2\" >0</td>\n", + " <th id=\"T_57323_level0_row73\" class=\"row_heading level0 row73\" >73</th>\n", + " <td id=\"T_57323_row73_col0\" class=\"data row73 col0\" >libgeo</td>\n", + " <td id=\"T_57323_row73_col1\" class=\"data row73 col1\" >communes (name)</td>\n", + " <td id=\"T_57323_row73_col2\" class=\"data row73 col2\" >0</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row74\" class=\"row_heading level0 row74\" >74</th>\n", - " <td id=\"T_ade5a_row74_col0\" class=\"data row74 col0\" >codegeo</td>\n", - " <td id=\"T_ade5a_row74_col1\" class=\"data row74 col1\" >communes (code)</td>\n", - " <td id=\"T_ade5a_row74_col2\" class=\"data row74 col2\" >0</td>\n", + " <th id=\"T_57323_level0_row74\" class=\"row_heading level0 row74\" >74</th>\n", + " <td id=\"T_57323_row74_col0\" class=\"data row74 col0\" >codegeo</td>\n", + " <td id=\"T_57323_row74_col1\" class=\"data row74 col1\" >communes (code)</td>\n", + " <td id=\"T_57323_row74_col2\" class=\"data row74 col2\" >0</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row75\" class=\"row_heading level0 row75\" >75</th>\n", - " <td id=\"T_ade5a_row75_col0\" class=\"data row75 col0\" >nom_epci</td>\n", - " <td id=\"T_ade5a_row75_col1\" class=\"data row75 col1\" >EPCI (name)</td>\n", - " <td id=\"T_ade5a_row75_col2\" class=\"data row75 col2\" >0</td>\n", + " <th id=\"T_57323_level0_row75\" class=\"row_heading level0 row75\" >75</th>\n", + " <td id=\"T_57323_row75_col0\" class=\"data row75 col0\" >nom_epci</td>\n", + " <td id=\"T_57323_row75_col1\" class=\"data row75 col1\" >EPCI (name)</td>\n", + " <td id=\"T_57323_row75_col2\" class=\"data row75 col2\" >0</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row76\" class=\"row_heading level0 row76\" >76</th>\n", - " <td id=\"T_ade5a_row76_col0\" class=\"data row76 col0\" >code_epci</td>\n", - " <td id=\"T_ade5a_row76_col1\" class=\"data row76 col1\" >EPCI (code)</td>\n", - " <td id=\"T_ade5a_row76_col2\" class=\"data row76 col2\" >0</td>\n", + " <th id=\"T_57323_level0_row76\" class=\"row_heading level0 row76\" >76</th>\n", + " <td id=\"T_57323_row76_col0\" class=\"data row76 col0\" >code_epci</td>\n", + " <td id=\"T_57323_row76_col1\" class=\"data row76 col1\" >EPCI (code)</td>\n", + " <td id=\"T_57323_row76_col2\" class=\"data row76 col2\" >0</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row77\" class=\"row_heading level0 row77\" >77</th>\n", - " <td id=\"T_ade5a_row77_col0\" class=\"data row77 col0\" >nom_dept</td>\n", - " <td id=\"T_ade5a_row77_col1\" class=\"data row77 col1\" >department (name)</td>\n", - " <td id=\"T_ade5a_row77_col2\" class=\"data row77 col2\" >0</td>\n", + " <th id=\"T_57323_level0_row77\" class=\"row_heading level0 row77\" >77</th>\n", + " <td id=\"T_57323_row77_col0\" class=\"data row77 col0\" >nom_dept</td>\n", + " <td id=\"T_57323_row77_col1\" class=\"data row77 col1\" >department (name)</td>\n", + " <td id=\"T_57323_row77_col2\" class=\"data row77 col2\" >0</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row78\" class=\"row_heading level0 row78\" >78</th>\n", - " <td id=\"T_ade5a_row78_col0\" class=\"data row78 col0\" >code_dep</td>\n", - " <td id=\"T_ade5a_row78_col1\" class=\"data row78 col1\" >department (code)</td>\n", - " <td id=\"T_ade5a_row78_col2\" class=\"data row78 col2\" >0</td>\n", + " <th id=\"T_57323_level0_row78\" class=\"row_heading level0 row78\" >78</th>\n", + " <td id=\"T_57323_row78_col0\" class=\"data row78 col0\" >code_dep</td>\n", + " <td id=\"T_57323_row78_col1\" class=\"data row78 col1\" >department (code)</td>\n", + " <td id=\"T_57323_row78_col2\" class=\"data row78 col2\" >0</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row79\" class=\"row_heading level0 row79\" >79</th>\n", - " <td id=\"T_ade5a_row79_col0\" class=\"data row79 col0\" >nom_reg</td>\n", - " <td id=\"T_ade5a_row79_col1\" class=\"data row79 col1\" >region (name)</td>\n", - " <td id=\"T_ade5a_row79_col2\" class=\"data row79 col2\" >0</td>\n", + " <th id=\"T_57323_level0_row79\" class=\"row_heading level0 row79\" >79</th>\n", + " <td id=\"T_57323_row79_col0\" class=\"data row79 col0\" >nom_reg</td>\n", + " <td id=\"T_57323_row79_col1\" class=\"data row79 col1\" >region (name)</td>\n", + " <td id=\"T_57323_row79_col2\" class=\"data row79 col2\" >0</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_ade5a_level0_row80\" class=\"row_heading level0 row80\" >80</th>\n", - " <td id=\"T_ade5a_row80_col0\" class=\"data row80 col0\" >code_reg</td>\n", - " <td id=\"T_ade5a_row80_col1\" class=\"data row80 col1\" >region (code)</td>\n", - " <td id=\"T_ade5a_row80_col2\" class=\"data row80 col2\" >0</td>\n", + " <th id=\"T_57323_level0_row80\" class=\"row_heading level0 row80\" >80</th>\n", + " <td id=\"T_57323_row80_col0\" class=\"data row80 col0\" >code_reg</td>\n", + " <td id=\"T_57323_row80_col1\" class=\"data row80 col1\" >region (code)</td>\n", + " <td id=\"T_57323_row80_col2\" class=\"data row80 col2\" >0</td>\n", " </tr>\n", " </tbody></table>" ], "text/plain": [ - "<pandas.io.formats.style.Styler at 0x7f1756123e90>" + "<pandas.io.formats.style.Styler at 0x7f720857b760>" ] }, "metadata": {}, @@ -1135,12 +1189,13 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Step 3 - Keep only certain columns" + "## Step 4 - Prepare dataset\n", + "### 4.1 - Keep only certain columns" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -1174,7 +1229,7 @@ "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", - " <tr style=\"text-align: right;\">\n", + " <tr style=\"text-align: left;\">\n", " <th></th>\n", " <th>date</th>\n", " <th>pmer</th>\n", @@ -1559,49 +1614,49 @@ "</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", + " 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 " + " 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": {}, @@ -1622,211 +1677,148 @@ { "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>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>" + "<style type=\"text/css\" >\n", + "</style><table id=\"T_2b7dd_\" ><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >pmer</th> <th class=\"col_heading level0 col1\" >tend</th> <th class=\"col_heading level0 col2\" >cod_tend</th> <th class=\"col_heading level0 col3\" >dd</th> <th class=\"col_heading level0 col4\" >ff</th> <th class=\"col_heading level0 col5\" >td</th> <th class=\"col_heading level0 col6\" >u</th> <th class=\"col_heading level0 col7\" >ww</th> <th class=\"col_heading level0 col8\" >pres</th> <th class=\"col_heading level0 col9\" >rafper</th> <th class=\"col_heading level0 col10\" >per</th> <th class=\"col_heading level0 col11\" >rr1</th> <th class=\"col_heading level0 col12\" >rr3</th> <th class=\"col_heading level0 col13\" >tc</th> </tr></thead><tbody>\n", + " <tr>\n", + " <th id=\"T_2b7dd_level0_row0\" class=\"row_heading level0 row0\" >count</th>\n", + " <td id=\"T_2b7dd_row0_col0\" class=\"data row0 col0\" >29148.00</td>\n", + " <td id=\"T_2b7dd_row0_col1\" class=\"data row0 col1\" >29163.00</td>\n", + " <td id=\"T_2b7dd_row0_col2\" class=\"data row0 col2\" >29163.00</td>\n", + " <td id=\"T_2b7dd_row0_col3\" class=\"data row0 col3\" >29162.00</td>\n", + " <td id=\"T_2b7dd_row0_col4\" class=\"data row0 col4\" >29163.00</td>\n", + " <td id=\"T_2b7dd_row0_col5\" class=\"data row0 col5\" >29148.00</td>\n", + " <td id=\"T_2b7dd_row0_col6\" class=\"data row0 col6\" >29148.00</td>\n", + " <td id=\"T_2b7dd_row0_col7\" class=\"data row0 col7\" >29164.00</td>\n", + " <td id=\"T_2b7dd_row0_col8\" class=\"data row0 col8\" >29165.00</td>\n", + " <td id=\"T_2b7dd_row0_col9\" class=\"data row0 col9\" >29156.00</td>\n", + " <td id=\"T_2b7dd_row0_col10\" class=\"data row0 col10\" >29157.00</td>\n", + " <td id=\"T_2b7dd_row0_col11\" class=\"data row0 col11\" >29070.00</td>\n", + " <td id=\"T_2b7dd_row0_col12\" class=\"data row0 col12\" >29092.00</td>\n", + " <td id=\"T_2b7dd_row0_col13\" class=\"data row0 col13\" >29151.00</td>\n", + " </tr>\n", + " <tr>\n", + " <th id=\"T_2b7dd_level0_row1\" class=\"row_heading level0 row1\" >mean</th>\n", + " <td id=\"T_2b7dd_row1_col0\" class=\"data row1 col0\" >101753.55</td>\n", + " <td id=\"T_2b7dd_row1_col1\" class=\"data row1 col1\" >0.26</td>\n", + " <td id=\"T_2b7dd_row1_col2\" class=\"data row1 col2\" >4.31</td>\n", + " <td id=\"T_2b7dd_row1_col3\" class=\"data row1 col3\" >204.09</td>\n", + " <td id=\"T_2b7dd_row1_col4\" class=\"data row1 col4\" >3.40</td>\n", + " <td id=\"T_2b7dd_row1_col5\" class=\"data row1 col5\" >280.03</td>\n", + " <td id=\"T_2b7dd_row1_col6\" class=\"data row1 col6\" >71.02</td>\n", + " <td id=\"T_2b7dd_row1_col7\" class=\"data row1 col7\" >10.11</td>\n", + " <td id=\"T_2b7dd_row1_col8\" class=\"data row1 col8\" >98894.60</td>\n", + " <td id=\"T_2b7dd_row1_col9\" class=\"data row1 col9\" >6.30</td>\n", + " <td id=\"T_2b7dd_row1_col10\" class=\"data row1 col10\" >-10.00</td>\n", + " <td id=\"T_2b7dd_row1_col11\" class=\"data row1 col11\" >0.09</td>\n", + " <td id=\"T_2b7dd_row1_col12\" class=\"data row1 col12\" >0.28</td>\n", + " <td id=\"T_2b7dd_row1_col13\" class=\"data row1 col13\" >12.69</td>\n", + " </tr>\n", + " <tr>\n", + " <th id=\"T_2b7dd_level0_row2\" class=\"row_heading level0 row2\" >std</th>\n", + " <td id=\"T_2b7dd_row2_col0\" class=\"data row2 col0\" >798.09</td>\n", + " <td id=\"T_2b7dd_row2_col1\" class=\"data row2 col1\" >111.44</td>\n", + " <td id=\"T_2b7dd_row2_col2\" class=\"data row2 col2\" >2.72</td>\n", + " <td id=\"T_2b7dd_row2_col3\" class=\"data row2 col3\" >115.42</td>\n", + " <td id=\"T_2b7dd_row2_col4\" class=\"data row2 col4\" >2.47</td>\n", + " <td id=\"T_2b7dd_row2_col5\" class=\"data row2 col5\" >5.86</td>\n", + " <td id=\"T_2b7dd_row2_col6\" class=\"data row2 col6\" >18.28</td>\n", + " <td id=\"T_2b7dd_row2_col7\" class=\"data row2 col7\" >19.40</td>\n", + " <td id=\"T_2b7dd_row2_col8\" class=\"data row2 col8\" >761.59</td>\n", + " <td id=\"T_2b7dd_row2_col9\" class=\"data row2 col9\" >3.85</td>\n", + " <td id=\"T_2b7dd_row2_col10\" class=\"data row2 col10\" >0.00</td>\n", + " <td id=\"T_2b7dd_row2_col11\" class=\"data row2 col11\" >0.61</td>\n", + " <td id=\"T_2b7dd_row2_col12\" class=\"data row2 col12\" >1.41</td>\n", + " <td id=\"T_2b7dd_row2_col13\" class=\"data row2 col13\" >8.15</td>\n", + " </tr>\n", + " <tr>\n", + " <th id=\"T_2b7dd_level0_row3\" class=\"row_heading level0 row3\" >min</th>\n", + " <td id=\"T_2b7dd_row3_col0\" class=\"data row3 col0\" >97960.00</td>\n", + " <td id=\"T_2b7dd_row3_col1\" class=\"data row3 col1\" >-750.00</td>\n", + " <td id=\"T_2b7dd_row3_col2\" class=\"data row3 col2\" >0.00</td>\n", + " <td id=\"T_2b7dd_row3_col3\" class=\"data row3 col3\" >0.00</td>\n", + " <td id=\"T_2b7dd_row3_col4\" class=\"data row3 col4\" >0.00</td>\n", + " <td id=\"T_2b7dd_row3_col5\" class=\"data row3 col5\" >249.25</td>\n", + " <td id=\"T_2b7dd_row3_col6\" class=\"data row3 col6\" >2.00</td>\n", + " <td id=\"T_2b7dd_row3_col7\" class=\"data row3 col7\" >0.00</td>\n", + " <td id=\"T_2b7dd_row3_col8\" class=\"data row3 col8\" >95170.00</td>\n", + " <td id=\"T_2b7dd_row3_col9\" class=\"data row3 col9\" >0.00</td>\n", + " <td id=\"T_2b7dd_row3_col10\" class=\"data row3 col10\" >-10.00</td>\n", + " <td id=\"T_2b7dd_row3_col11\" class=\"data row3 col11\" >-0.10</td>\n", + " <td id=\"T_2b7dd_row3_col12\" class=\"data row3 col12\" >-0.10</td>\n", + " <td id=\"T_2b7dd_row3_col13\" class=\"data row3 col13\" >-12.10</td>\n", + " </tr>\n", + " <tr>\n", + " <th id=\"T_2b7dd_level0_row4\" class=\"row_heading level0 row4\" >25%</th>\n", + " <td id=\"T_2b7dd_row4_col0\" class=\"data row4 col0\" >101300.00</td>\n", + " <td id=\"T_2b7dd_row4_col1\" class=\"data row4 col1\" >-70.00</td>\n", + " <td id=\"T_2b7dd_row4_col2\" class=\"data row4 col2\" >2.00</td>\n", + " <td id=\"T_2b7dd_row4_col3\" class=\"data row4 col3\" >130.00</td>\n", + " <td id=\"T_2b7dd_row4_col4\" class=\"data row4 col4\" >1.50</td>\n", + " <td id=\"T_2b7dd_row4_col5\" class=\"data row4 col5\" >275.83</td>\n", + " <td id=\"T_2b7dd_row4_col6\" class=\"data row4 col6\" >58.00</td>\n", + " <td id=\"T_2b7dd_row4_col7\" class=\"data row4 col7\" >2.00</td>\n", + " <td id=\"T_2b7dd_row4_col8\" class=\"data row4 col8\" >98480.00</td>\n", + " <td id=\"T_2b7dd_row4_col9\" class=\"data row4 col9\" >3.60</td>\n", + " <td id=\"T_2b7dd_row4_col10\" class=\"data row4 col10\" >-10.00</td>\n", + " <td id=\"T_2b7dd_row4_col11\" class=\"data row4 col11\" >0.00</td>\n", + " <td id=\"T_2b7dd_row4_col12\" class=\"data row4 col12\" >0.00</td>\n", + " <td id=\"T_2b7dd_row4_col13\" class=\"data row4 col13\" >6.60</td>\n", + " </tr>\n", + " <tr>\n", + " <th id=\"T_2b7dd_level0_row5\" class=\"row_heading level0 row5\" >50%</th>\n", + " <td id=\"T_2b7dd_row5_col0\" class=\"data row5 col0\" >101740.00</td>\n", + " <td id=\"T_2b7dd_row5_col1\" class=\"data row5 col1\" >0.00</td>\n", + " <td id=\"T_2b7dd_row5_col2\" class=\"data row5 col2\" >3.00</td>\n", + " <td id=\"T_2b7dd_row5_col3\" class=\"data row5 col3\" >190.00</td>\n", + " <td id=\"T_2b7dd_row5_col4\" class=\"data row5 col4\" >2.90</td>\n", + " <td id=\"T_2b7dd_row5_col5\" class=\"data row5 col5\" >280.25</td>\n", + " <td id=\"T_2b7dd_row5_col6\" class=\"data row5 col6\" >74.00</td>\n", + " <td id=\"T_2b7dd_row5_col7\" class=\"data row5 col7\" >2.00</td>\n", + " <td id=\"T_2b7dd_row5_col8\" class=\"data row5 col8\" >98920.00</td>\n", + " <td id=\"T_2b7dd_row5_col9\" class=\"data row5 col9\" >5.30</td>\n", + " <td id=\"T_2b7dd_row5_col10\" class=\"data row5 col10\" >-10.00</td>\n", + " <td id=\"T_2b7dd_row5_col11\" class=\"data row5 col11\" >0.00</td>\n", + " <td id=\"T_2b7dd_row5_col12\" class=\"data row5 col12\" >0.00</td>\n", + " <td id=\"T_2b7dd_row5_col13\" class=\"data row5 col13\" >12.50</td>\n", + " </tr>\n", + " <tr>\n", + " <th id=\"T_2b7dd_level0_row6\" class=\"row_heading level0 row6\" >75%</th>\n", + " <td id=\"T_2b7dd_row6_col0\" class=\"data row6 col0\" >102240.00</td>\n", + " <td id=\"T_2b7dd_row6_col1\" class=\"data row6 col1\" >70.00</td>\n", + " <td id=\"T_2b7dd_row6_col2\" class=\"data row6 col2\" >7.00</td>\n", + " <td id=\"T_2b7dd_row6_col3\" class=\"data row6 col3\" >330.00</td>\n", + " <td id=\"T_2b7dd_row6_col4\" class=\"data row6 col4\" >4.60</td>\n", + " <td id=\"T_2b7dd_row6_col5\" class=\"data row6 col5\" >284.55</td>\n", + " <td id=\"T_2b7dd_row6_col6\" class=\"data row6 col6\" >86.00</td>\n", + " <td id=\"T_2b7dd_row6_col7\" class=\"data row6 col7\" >3.00</td>\n", + " <td id=\"T_2b7dd_row6_col8\" class=\"data row6 col8\" >99360.00</td>\n", + " <td id=\"T_2b7dd_row6_col9\" class=\"data row6 col9\" >8.20</td>\n", + " <td id=\"T_2b7dd_row6_col10\" class=\"data row6 col10\" >-10.00</td>\n", + " <td id=\"T_2b7dd_row6_col11\" class=\"data row6 col11\" >0.00</td>\n", + " <td id=\"T_2b7dd_row6_col12\" class=\"data row6 col12\" >0.00</td>\n", + " <td id=\"T_2b7dd_row6_col13\" class=\"data row6 col13\" >18.50</td>\n", + " </tr>\n", + " <tr>\n", + " <th id=\"T_2b7dd_level0_row7\" class=\"row_heading level0 row7\" >max</th>\n", + " <td id=\"T_2b7dd_row7_col0\" class=\"data row7 col0\" >104280.00</td>\n", + " <td id=\"T_2b7dd_row7_col1\" class=\"data row7 col1\" >810.00</td>\n", + " <td id=\"T_2b7dd_row7_col2\" class=\"data row7 col2\" >8.00</td>\n", + " <td id=\"T_2b7dd_row7_col3\" class=\"data row7 col3\" >360.00</td>\n", + " <td id=\"T_2b7dd_row7_col4\" class=\"data row7 col4\" >18.80</td>\n", + " <td id=\"T_2b7dd_row7_col5\" class=\"data row7 col5\" >295.95</td>\n", + " <td id=\"T_2b7dd_row7_col6\" class=\"data row7 col6\" >100.00</td>\n", + " <td id=\"T_2b7dd_row7_col7\" class=\"data row7 col7\" >97.00</td>\n", + " <td id=\"T_2b7dd_row7_col8\" class=\"data row7 col8\" >101210.00</td>\n", + " <td id=\"T_2b7dd_row7_col9\" class=\"data row7 col9\" >30.20</td>\n", + " <td id=\"T_2b7dd_row7_col10\" class=\"data row7 col10\" >-10.00</td>\n", + " <td id=\"T_2b7dd_row7_col11\" class=\"data row7 col11\" >19.00</td>\n", + " <td id=\"T_2b7dd_row7_col12\" class=\"data row7 col12\" >45.00</td>\n", + " <td id=\"T_2b7dd_row7_col13\" class=\"data row7 col13\" >38.90</td>\n", + " </tr>\n", + " </tbody></table>" ], "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 " + "<pandas.io.formats.style.Styler at 0x7f7185b47fa0>" ] }, "metadata": {}, @@ -1847,7 +1839,7 @@ "display(df.head(20))\n", "\n", "pwk.subtitle('Few statistics :')\n", - "display(df.describe())\n", + "display(df.describe().style.format('{:.2f}'))\n", "\n", "# ---- 'per' column is constant, we can drop it\n", "\n", @@ -1858,12 +1850,13 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Step 4 - Cleanup session : Let's sort it and cook up some NaN values" + "### 4.2 - Cleanup dataset\n", + "Let's sort it and cook up some NaN values" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -1897,7 +1890,7 @@ "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", - " <tr style=\"text-align: right;\">\n", + " <tr style=\"text-align: left;\">\n", " <th></th>\n", " <th>date</th>\n", " <th>pmer</th>\n", @@ -2091,29 +2084,29 @@ "</div>" ], "text/plain": [ - " date pmer tend cod_tend dd ff \\\n", - "396 2010-02-19T16:00:00+01:00 99760.0 180.0 3.0 330.0 4.6 \n", - "434 2010-02-24T10:00:00+01:00 100310.0 60.0 1.0 NaN NaN \n", - "477 2010-03-01T19:00:00+01:00 101400.0 NaN NaN 340.0 2.6 \n", - "734 2010-04-03T02:00:00+02:00 101550.0 50.0 0.0 190.0 7.7 \n", - "1061 2010-05-13T23:00:00+02:00 NaN 60.0 2.0 330.0 4.6 \n", - "1063 2010-05-14T05:00:00+02:00 NaN -50.0 5.0 350.0 4.1 \n", - "1064 2010-05-14T08:00:00+02:00 NaN 0.0 5.0 350.0 4.6 \n", - "2268 2010-10-11T20:00:00+02:00 NaN 150.0 2.0 10.0 1.0 \n", - "2269 2010-10-11T23:00:00+02:00 NaN 130.0 3.0 80.0 1.0 \n", - "2270 2010-10-12T02:00:00+02:00 NaN 70.0 1.0 0.0 0.0 \n", + " 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 " + " td u ww pres rafper rr1 rr3 tc \n", + "396 275.85 79.0 21.0 96890.0 NaN 0.0 1.0 6.1 \n", + "434 279.25 77.0 2.0 97470.0 NaN 0.2 0.2 9.9 \n", + "477 275.45 61.0 2.0 98520.0 5.7 0.0 NaN 9.4 \n", + "734 277.55 64.0 2.0 98680.0 12.3 NaN NaN 10.9 \n", + "1061 NaN NaN 2.0 98220.0 7.7 0.0 0.0 9.9 \n", + "1063 NaN NaN 2.0 98110.0 7.2 0.0 0.0 8.1 \n", + "1064 NaN NaN 2.0 98110.0 6.7 0.0 0.0 8.1 \n", + "2268 NaN NaN 2.0 98060.0 3.1 NaN NaN NaN \n", + "2269 NaN NaN 2.0 98190.0 2.6 NaN NaN NaN \n", + "2270 NaN NaN 2.0 98260.0 1.5 NaN NaN NaN " ] }, "metadata": {}, @@ -2150,7 +2143,7 @@ "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", - " <tr style=\"text-align: right;\">\n", + " <tr style=\"text-align: left;\">\n", " <th></th>\n", " <th>date</th>\n", " <th>pmer</th>\n", @@ -2344,29 +2337,29 @@ "</div>" ], "text/plain": [ - " date pmer tend cod_tend dd ff \\\n", - "396 2010-02-19T16:00:00+01:00 99760.000000 180.0 3.0 330.0 4.60 \n", - "434 2010-02-24T10:00:00+01:00 100310.000000 60.0 1.0 170.0 4.15 \n", - "477 2010-03-01T19:00:00+01:00 101400.000000 195.0 4.0 340.0 2.60 \n", - "734 2010-04-03T02:00:00+02:00 101550.000000 50.0 0.0 190.0 7.70 \n", - "1061 2010-05-13T23:00:00+02:00 101020.000000 60.0 2.0 330.0 4.60 \n", - "1063 2010-05-14T05:00:00+02:00 101040.000000 -50.0 5.0 350.0 4.10 \n", - "1064 2010-05-14T08:00:00+02:00 101040.000000 0.0 5.0 350.0 4.60 \n", - "2268 2010-10-11T20:00:00+02:00 100786.666667 150.0 2.0 10.0 1.00 \n", - "2269 2010-10-11T23:00:00+02:00 100863.333333 130.0 3.0 80.0 1.00 \n", - "2270 2010-10-12T02:00:00+02:00 100940.000000 70.0 1.0 0.0 0.00 \n", + " date pmer tend cod_tend dd ff \\\n", + "396 2010-02-19T16:00:00+01:00 99760.000000 180.0 3.0 330.0 4.60 \n", + "434 2010-02-24T10:00:00+01:00 100310.000000 60.0 1.0 170.0 4.15 \n", + "477 2010-03-01T19:00:00+01:00 101400.000000 195.0 4.0 340.0 2.60 \n", + "734 2010-04-03T02:00:00+02:00 101550.000000 50.0 0.0 190.0 7.70 \n", + "1061 2010-05-13T23:00:00+02:00 101020.000000 60.0 2.0 330.0 4.60 \n", + "1063 2010-05-14T05:00:00+02:00 101040.000000 -50.0 5.0 350.0 4.10 \n", + "1064 2010-05-14T08:00:00+02:00 101040.000000 0.0 5.0 350.0 4.60 \n", + "2268 2010-10-11T20:00:00+02:00 100786.666667 150.0 2.0 10.0 1.00 \n", + "2269 2010-10-11T23:00:00+02:00 100863.333333 130.0 3.0 80.0 1.00 \n", + "2270 2010-10-12T02:00:00+02:00 100940.000000 70.0 1.0 0.0 0.00 \n", "\n", - " td u ww pres rafper rr1 rr3 tc \n", - "396 275.85 79.000000 21.0 96890.0 8.25 0.0 1.0 6.10 \n", - "434 279.25 77.000000 2.0 97470.0 6.65 0.2 0.2 9.90 \n", - "477 275.45 61.000000 2.0 98520.0 5.70 0.0 0.5 9.40 \n", - "734 277.55 64.000000 2.0 98680.0 12.30 0.0 0.0 10.90 \n", - "1061 281.25 86.500000 2.0 98220.0 7.70 0.0 0.0 9.90 \n", - "1063 279.15 80.666667 2.0 98110.0 7.20 0.0 0.0 8.10 \n", - "1064 279.35 79.333333 2.0 98110.0 6.70 0.0 0.0 8.10 \n", - "2268 284.75 83.333333 2.0 98060.0 3.10 0.0 0.0 14.45 \n", - "2269 284.45 84.666667 2.0 98190.0 2.60 0.0 0.0 13.90 \n", - "2270 284.15 86.000000 2.0 98260.0 1.50 0.0 0.0 13.35 " + " td u ww pres rafper rr1 rr3 tc \n", + "396 275.85 79.000000 21.0 96890.0 8.25 0.0 1.0 6.10 \n", + "434 279.25 77.000000 2.0 97470.0 6.65 0.2 0.2 9.90 \n", + "477 275.45 61.000000 2.0 98520.0 5.70 0.0 0.5 9.40 \n", + "734 277.55 64.000000 2.0 98680.0 12.30 0.0 0.0 10.90 \n", + "1061 281.25 86.500000 2.0 98220.0 7.70 0.0 0.0 9.90 \n", + "1063 279.15 80.666667 2.0 98110.0 7.20 0.0 0.0 8.10 \n", + "1064 279.35 79.333333 2.0 98110.0 6.70 0.0 0.0 8.10 \n", + "2268 284.75 83.333333 2.0 98060.0 3.10 0.0 0.0 14.45 \n", + "2269 284.45 84.666667 2.0 98190.0 2.60 0.0 0.0 13.90 \n", + "2270 284.15 86.000000 2.0 98260.0 1.50 0.0 0.0 13.35 " ] }, "metadata": {}, @@ -2399,13 +2392,13 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Step 5 - Final dataset\n", + "## Step 5 - About our enhanced dataset\n", "### 5.1 - Summarize it" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -2424,97 +2417,97 @@ "data": { "text/html": [ "<style type=\"text/css\" >\n", - "#T_efd4e_row0_col0,#T_efd4e_row0_col1,#T_efd4e_row0_col2,#T_efd4e_row1_col0,#T_efd4e_row1_col1,#T_efd4e_row1_col2,#T_efd4e_row2_col0,#T_efd4e_row2_col1,#T_efd4e_row2_col2,#T_efd4e_row3_col0,#T_efd4e_row3_col1,#T_efd4e_row3_col2,#T_efd4e_row4_col0,#T_efd4e_row4_col1,#T_efd4e_row4_col2,#T_efd4e_row5_col0,#T_efd4e_row5_col1,#T_efd4e_row5_col2,#T_efd4e_row6_col0,#T_efd4e_row6_col1,#T_efd4e_row6_col2,#T_efd4e_row7_col0,#T_efd4e_row7_col1,#T_efd4e_row7_col2,#T_efd4e_row8_col0,#T_efd4e_row8_col1,#T_efd4e_row8_col2,#T_efd4e_row9_col0,#T_efd4e_row9_col1,#T_efd4e_row9_col2,#T_efd4e_row10_col0,#T_efd4e_row10_col1,#T_efd4e_row10_col2,#T_efd4e_row11_col0,#T_efd4e_row11_col1,#T_efd4e_row11_col2,#T_efd4e_row12_col0,#T_efd4e_row12_col1,#T_efd4e_row12_col2,#T_efd4e_row13_col0,#T_efd4e_row13_col1,#T_efd4e_row13_col2{\n", + "#T_cbb81_row0_col0,#T_cbb81_row0_col1,#T_cbb81_row0_col2,#T_cbb81_row1_col0,#T_cbb81_row1_col1,#T_cbb81_row1_col2,#T_cbb81_row2_col0,#T_cbb81_row2_col1,#T_cbb81_row2_col2,#T_cbb81_row3_col0,#T_cbb81_row3_col1,#T_cbb81_row3_col2,#T_cbb81_row4_col0,#T_cbb81_row4_col1,#T_cbb81_row4_col2,#T_cbb81_row5_col0,#T_cbb81_row5_col1,#T_cbb81_row5_col2,#T_cbb81_row6_col0,#T_cbb81_row6_col1,#T_cbb81_row6_col2,#T_cbb81_row7_col0,#T_cbb81_row7_col1,#T_cbb81_row7_col2,#T_cbb81_row8_col0,#T_cbb81_row8_col1,#T_cbb81_row8_col2,#T_cbb81_row9_col0,#T_cbb81_row9_col1,#T_cbb81_row9_col2,#T_cbb81_row10_col0,#T_cbb81_row10_col1,#T_cbb81_row10_col2,#T_cbb81_row11_col0,#T_cbb81_row11_col1,#T_cbb81_row11_col2,#T_cbb81_row12_col0,#T_cbb81_row12_col1,#T_cbb81_row12_col2,#T_cbb81_row13_col0,#T_cbb81_row13_col1,#T_cbb81_row13_col2{\n", " text-align: left;\n", - " }</style><table id=\"T_efd4e_\" ><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >Columns</th> <th class=\"col_heading level0 col1\" >Description</th> <th class=\"col_heading level0 col2\" >Na</th> </tr></thead><tbody>\n", + " }</style><table id=\"T_cbb81_\" ><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >Columns</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_efd4e_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n", - " <td id=\"T_efd4e_row0_col0\" class=\"data row0 col0\" >date</td>\n", - " <td id=\"T_efd4e_row0_col1\" class=\"data row0 col1\" >Date</td>\n", - " <td id=\"T_efd4e_row0_col2\" class=\"data row0 col2\" >0</td>\n", + " <th id=\"T_cbb81_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n", + " <td id=\"T_cbb81_row0_col0\" class=\"data row0 col0\" >date</td>\n", + " <td id=\"T_cbb81_row0_col1\" class=\"data row0 col1\" >Date</td>\n", + " <td id=\"T_cbb81_row0_col2\" class=\"data row0 col2\" >0</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_efd4e_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n", - " <td id=\"T_efd4e_row1_col0\" class=\"data row1 col0\" >pmer</td>\n", - " <td id=\"T_efd4e_row1_col1\" class=\"data row1 col1\" >Pression au niveau mer</td>\n", - " <td id=\"T_efd4e_row1_col2\" class=\"data row1 col2\" >0</td>\n", + " <th id=\"T_cbb81_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n", + " <td id=\"T_cbb81_row1_col0\" class=\"data row1 col0\" >pmer</td>\n", + " <td id=\"T_cbb81_row1_col1\" class=\"data row1 col1\" >Pression au niveau mer</td>\n", + " <td id=\"T_cbb81_row1_col2\" class=\"data row1 col2\" >0</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_efd4e_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n", - " <td id=\"T_efd4e_row2_col0\" class=\"data row2 col0\" >tend</td>\n", - " <td id=\"T_efd4e_row2_col1\" class=\"data row2 col1\" >Variation de pression en 3 heures</td>\n", - " <td id=\"T_efd4e_row2_col2\" class=\"data row2 col2\" >0</td>\n", + " <th id=\"T_cbb81_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n", + " <td id=\"T_cbb81_row2_col0\" class=\"data row2 col0\" >tend</td>\n", + " <td id=\"T_cbb81_row2_col1\" class=\"data row2 col1\" >Variation de pression en 3 heures</td>\n", + " <td id=\"T_cbb81_row2_col2\" class=\"data row2 col2\" >0</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_efd4e_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n", - " <td id=\"T_efd4e_row3_col0\" class=\"data row3 col0\" >cod_tend</td>\n", - " <td id=\"T_efd4e_row3_col1\" class=\"data row3 col1\" >Type de tendance barométrique</td>\n", - " <td id=\"T_efd4e_row3_col2\" class=\"data row3 col2\" >0</td>\n", + " <th id=\"T_cbb81_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n", + " <td id=\"T_cbb81_row3_col0\" class=\"data row3 col0\" >cod_tend</td>\n", + " <td id=\"T_cbb81_row3_col1\" class=\"data row3 col1\" >Type de tendance barométrique</td>\n", + " <td id=\"T_cbb81_row3_col2\" class=\"data row3 col2\" >0</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_efd4e_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n", - " <td id=\"T_efd4e_row4_col0\" class=\"data row4 col0\" >dd</td>\n", - " <td id=\"T_efd4e_row4_col1\" class=\"data row4 col1\" >Direction du vent moyen 10 mn</td>\n", - " <td id=\"T_efd4e_row4_col2\" class=\"data row4 col2\" >0</td>\n", + " <th id=\"T_cbb81_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n", + " <td id=\"T_cbb81_row4_col0\" class=\"data row4 col0\" >dd</td>\n", + " <td id=\"T_cbb81_row4_col1\" class=\"data row4 col1\" >Direction du vent moyen 10 mn</td>\n", + " <td id=\"T_cbb81_row4_col2\" class=\"data row4 col2\" >0</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_efd4e_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n", - " <td id=\"T_efd4e_row5_col0\" class=\"data row5 col0\" >ff</td>\n", - " <td id=\"T_efd4e_row5_col1\" class=\"data row5 col1\" >Vitesse du vent moyen 10 mn</td>\n", - " <td id=\"T_efd4e_row5_col2\" class=\"data row5 col2\" >0</td>\n", + " <th id=\"T_cbb81_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n", + " <td id=\"T_cbb81_row5_col0\" class=\"data row5 col0\" >ff</td>\n", + " <td id=\"T_cbb81_row5_col1\" class=\"data row5 col1\" >Vitesse du vent moyen 10 mn</td>\n", + " <td id=\"T_cbb81_row5_col2\" class=\"data row5 col2\" >0</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_efd4e_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n", - " <td id=\"T_efd4e_row6_col0\" class=\"data row6 col0\" >td</td>\n", - " <td id=\"T_efd4e_row6_col1\" class=\"data row6 col1\" >Point de rosée</td>\n", - " <td id=\"T_efd4e_row6_col2\" class=\"data row6 col2\" >0</td>\n", + " <th id=\"T_cbb81_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n", + " <td id=\"T_cbb81_row6_col0\" class=\"data row6 col0\" >td</td>\n", + " <td id=\"T_cbb81_row6_col1\" class=\"data row6 col1\" >Point de rosée</td>\n", + " <td id=\"T_cbb81_row6_col2\" class=\"data row6 col2\" >0</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_efd4e_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n", - " <td id=\"T_efd4e_row7_col0\" class=\"data row7 col0\" >u</td>\n", - " <td id=\"T_efd4e_row7_col1\" class=\"data row7 col1\" >Humidité</td>\n", - " <td id=\"T_efd4e_row7_col2\" class=\"data row7 col2\" >0</td>\n", + " <th id=\"T_cbb81_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n", + " <td id=\"T_cbb81_row7_col0\" class=\"data row7 col0\" >u</td>\n", + " <td id=\"T_cbb81_row7_col1\" class=\"data row7 col1\" >Humidité</td>\n", + " <td id=\"T_cbb81_row7_col2\" class=\"data row7 col2\" >0</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_efd4e_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n", - " <td id=\"T_efd4e_row8_col0\" class=\"data row8 col0\" >ww</td>\n", - " <td id=\"T_efd4e_row8_col1\" class=\"data row8 col1\" >Temps présent</td>\n", - " <td id=\"T_efd4e_row8_col2\" class=\"data row8 col2\" >0</td>\n", + " <th id=\"T_cbb81_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n", + " <td id=\"T_cbb81_row8_col0\" class=\"data row8 col0\" >ww</td>\n", + " <td id=\"T_cbb81_row8_col1\" class=\"data row8 col1\" >Temps présent</td>\n", + " <td id=\"T_cbb81_row8_col2\" class=\"data row8 col2\" >0</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_efd4e_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n", - " <td id=\"T_efd4e_row9_col0\" class=\"data row9 col0\" >pres</td>\n", - " <td id=\"T_efd4e_row9_col1\" class=\"data row9 col1\" >Pression station</td>\n", - " <td id=\"T_efd4e_row9_col2\" class=\"data row9 col2\" >0</td>\n", + " <th id=\"T_cbb81_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n", + " <td id=\"T_cbb81_row9_col0\" class=\"data row9 col0\" >pres</td>\n", + " <td id=\"T_cbb81_row9_col1\" class=\"data row9 col1\" >Pression station</td>\n", + " <td id=\"T_cbb81_row9_col2\" class=\"data row9 col2\" >0</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_efd4e_level0_row10\" class=\"row_heading level0 row10\" >10</th>\n", - " <td id=\"T_efd4e_row10_col0\" class=\"data row10 col0\" >rafper</td>\n", - " <td id=\"T_efd4e_row10_col1\" class=\"data row10 col1\" >Rafales sur une période</td>\n", - " <td id=\"T_efd4e_row10_col2\" class=\"data row10 col2\" >0</td>\n", + " <th id=\"T_cbb81_level0_row10\" class=\"row_heading level0 row10\" >10</th>\n", + " <td id=\"T_cbb81_row10_col0\" class=\"data row10 col0\" >rafper</td>\n", + " <td id=\"T_cbb81_row10_col1\" class=\"data row10 col1\" >Rafales sur une période</td>\n", + " <td id=\"T_cbb81_row10_col2\" class=\"data row10 col2\" >0</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_efd4e_level0_row11\" class=\"row_heading level0 row11\" >11</th>\n", - " <td id=\"T_efd4e_row11_col0\" class=\"data row11 col0\" >rr1</td>\n", - " <td id=\"T_efd4e_row11_col1\" class=\"data row11 col1\" >Précipitations dans la dernière heure</td>\n", - " <td id=\"T_efd4e_row11_col2\" class=\"data row11 col2\" >0</td>\n", + " <th id=\"T_cbb81_level0_row11\" class=\"row_heading level0 row11\" >11</th>\n", + " <td id=\"T_cbb81_row11_col0\" class=\"data row11 col0\" >rr1</td>\n", + " <td id=\"T_cbb81_row11_col1\" class=\"data row11 col1\" >Précipitations dans la dernière heure</td>\n", + " <td id=\"T_cbb81_row11_col2\" class=\"data row11 col2\" >0</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_efd4e_level0_row12\" class=\"row_heading level0 row12\" >12</th>\n", - " <td id=\"T_efd4e_row12_col0\" class=\"data row12 col0\" >rr3</td>\n", - " <td id=\"T_efd4e_row12_col1\" class=\"data row12 col1\" >Précipitations dans les 3 dernières heures</td>\n", - " <td id=\"T_efd4e_row12_col2\" class=\"data row12 col2\" >0</td>\n", + " <th id=\"T_cbb81_level0_row12\" class=\"row_heading level0 row12\" >12</th>\n", + " <td id=\"T_cbb81_row12_col0\" class=\"data row12 col0\" >rr3</td>\n", + " <td id=\"T_cbb81_row12_col1\" class=\"data row12 col1\" >Précipitations dans les 3 dernières heures</td>\n", + " <td id=\"T_cbb81_row12_col2\" class=\"data row12 col2\" >0</td>\n", " </tr>\n", " <tr>\n", - " <th id=\"T_efd4e_level0_row13\" class=\"row_heading level0 row13\" >13</th>\n", - " <td id=\"T_efd4e_row13_col0\" class=\"data row13 col0\" >tc</td>\n", - " <td id=\"T_efd4e_row13_col1\" class=\"data row13 col1\" >Température (°C)</td>\n", - " <td id=\"T_efd4e_row13_col2\" class=\"data row13 col2\" >0</td>\n", + " <th id=\"T_cbb81_level0_row13\" class=\"row_heading level0 row13\" >13</th>\n", + " <td id=\"T_cbb81_row13_col0\" class=\"data row13 col0\" >tc</td>\n", + " <td id=\"T_cbb81_row13_col1\" class=\"data row13 col1\" >Température (°C)</td>\n", + " <td id=\"T_cbb81_row13_col2\" class=\"data row13 col2\" >0</td>\n", " </tr>\n", " </tbody></table>" ], "text/plain": [ - "<pandas.io.formats.style.Styler at 0x7f1755d6ae90>" + "<pandas.io.formats.style.Styler at 0x7f7183f120d0>" ] }, "metadata": {}, @@ -2551,7 +2544,7 @@ "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", - " <tr style=\"text-align: right;\">\n", + " <tr style=\"text-align: left;\">\n", " <th></th>\n", " <th>date</th>\n", " <th>pmer</th>\n", @@ -2915,49 +2908,49 @@ "</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", + " 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 " + " 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": {}, @@ -2996,24 +2989,12 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 29, "metadata": {}, "outputs": [ { "data": { - "text/html": [ - "<div class=\"comment\">Saved: ./run/figs/SYNOP1-01-one-month</div>" - ], - "text/plain": [ - "<IPython.core.display.HTML object>" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "<Figure size 1152x1440 with 13 Axes>" ] @@ -3035,12 +3016,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Step 3 - Save it" + "## Step 6 - Save it" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -3053,13 +3034,8 @@ } ], "source": [ - "dataset_name = 'synop-LYS.csv'\n", - "dataset_desc = 'synop.json'\n", - "output_dir = './data'\n", - "\n", "# ---- Save it\n", "#\n", - "\n", "pwk.mkdir(output_dir)\n", "\n", "filedata = f'{output_dir}/{dataset_name}'\n", @@ -3077,15 +3053,15 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 32, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "End time is : Saturday 9 January 2021, 10:04:33\n", - "Duration is : 00:00:05 236ms\n", + "End time is : Friday 05 March 2021, 16:36:30\n", + "Duration is : 00:24:03 093ms\n", "This notebook ends here\n" ] } @@ -3119,7 +3095,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.9" + "version": "3.8.5" } }, "nbformat": 4, -- GitLab