259 lines
23 KiB
Plaintext
259 lines
23 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"import numpy as np\n",
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"%matplotlib inline\n",
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"import matplotlib.pyplot as plt\n",
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"plt.style.use(\"seaborn-notebook\")\n",
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"import seaborn as sns\n",
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"cm = sns.light_palette(\"green\", as_cmap=True)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 25,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"wspeed = pd.DataFrame(np.random.normal(7,7, 365)).abs()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 26,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>0</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>count</th>\n",
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" <td>365.000000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>mean</th>\n",
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" <td>8.078493</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>std</th>\n",
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" <td>5.286526</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>min</th>\n",
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" <td>0.010161</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>25%</th>\n",
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" <td>4.003320</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>50%</th>\n",
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" <td>7.400571</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>75%</th>\n",
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" <td>11.234191</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>max</th>\n",
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" <td>26.713693</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" 0\n",
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"count 365.000000\n",
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"mean 8.078493\n",
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"std 5.286526\n",
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"min 0.010161\n",
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"25% 4.003320\n",
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"50% 7.400571\n",
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"75% 11.234191\n",
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"max 26.713693"
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]
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},
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"execution_count": 26,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"wspeed.describe()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"sns.countplot()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 35,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"def cate(ws):\n",
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" if ws[0] < 5:\n",
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" return \"Pas assez de vent\"\n",
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" elif ws[0] < 10:\n",
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" return \"Peu de vent\"\n",
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" elif ws[0] < 15:\n",
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" return \"Vent léger\"\n",
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" elif ws[0] < 20:\n",
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" return \"Bon vent\"\n",
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" elif ws[0] < 25:\n",
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" return \"Vent fort\"\n",
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" else:\n",
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" return \"Trop de vent\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": 39,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"wspeed[\"cat\"] = wspeed.apply(cate, axis=1)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 68,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[<matplotlib.axis.YTick at 0x7f17a6895908>,\n",
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" <matplotlib.axis.YTick at 0x7f17a68f3b00>,\n",
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" <matplotlib.axis.YTick at 0x7f17a690c710>,\n",
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" <matplotlib.axis.YTick at 0x7f17a687a7b8>,\n",
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" <matplotlib.axis.YTick at 0x7f17a6882128>,\n",
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" <matplotlib.axis.YTick at 0x7f17a686e8d0>,\n",
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" <matplotlib.axis.YTick at 0x7f17a6882b38>,\n",
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" <matplotlib.axis.YTick at 0x7f17a6885630>,\n",
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" <matplotlib.axis.YTick at 0x7f17a688e128>,\n",
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" <matplotlib.axis.YTick at 0x7f17a688ebe0>,\n",
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/lafrite/.virtualenvs/enseignement/lib/python3.6/site-packages/matplotlib/font_manager.py:1297: UserWarning: findfont: Font family ['sans-serif'] not found. Falling back to DejaVu Sans\n",
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|
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" (prop.get_family(), self.defaultFamily[fontext]))\n"
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]
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{
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"data": {
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},
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}
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],
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"source": [
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"ax = sns.countplot(x=\"cat\", data=wspeed, color=\"grey\")\n",
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"ax.set_xlabel(\"\")\n",
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"ax.set_ylabel(\"Nombre de jours\")\n",
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"ax.set_yticks(np.arange(0, 130, 10))"
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]
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},
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"text": [
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"/home/lafrite/.virtualenvs/enseignement/lib/python3.6/site-packages/matplotlib/font_manager.py:1297: UserWarning: findfont: Font family ['sans-serif'] not found. Falling back to DejaVu Sans\n",
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|
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" (prop.get_family(), self.defaultFamily[fontext]))\n"
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]
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}
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],
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"source": [
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"ax.figure.savefig(\"./fig/cat_vent.svg\")"
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]
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},
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{
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"display_name": "Python 3",
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"language": "python",
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|
|
},
|
||
|
|
"language_info": {
|
||
|
|
"codemirror_mode": {
|
||
|
|
"name": "ipython",
|
||
|
|
"version": 3
|
||
|
|
},
|
||
|
|
"file_extension": ".py",
|
||
|
|
"mimetype": "text/x-python",
|
||
|
|
"name": "python",
|
||
|
|
"nbconvert_exporter": "python",
|
||
|
|
"pygments_lexer": "ipython3",
|
||
|
|
"version": "3.6.0"
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"nbformat": 4,
|
||
|
|
"nbformat_minor": 2
|
||
|
|
}
|