code_examples/Tracé d'une chronique piézométrique avec R.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "# Tracé d'une chronique piézométrique avec R\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading required package: data.table\n",
      "Loading required package: ggplot2\n"
     ]
    }
   ],
   "source": [
    "# Chargement des paquets R\n",
    "require(data.table)\n",
    "require(ggplot2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Appel du endpoint chroniques en CSV de l'API Piézo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "NPstation<-fread(\"http://api.hubeau.fr/v1/niveaux_nappes/chroniques.csv?code_bss=08756X0032/F1\")\n",
    "\n",
    "NPstation$date_mesure<-as.Date(NPstation$date_mesure)\n",
    "NPstation$niveau_nappe_eau<-as.numeric(NPstation$niveau_nappe_eau)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Appel de ggplot, affichage de la chronique piézo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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RLdv01ngOSApDoGSGmQ+jW5Akn0QZIN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\ntAAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "p<-ggplot(NPstation)+geom_path(aes(x=date_mesure, y=niveau_nappe_eau))\n",
    "p<-p+theme_bw()+labs(x='',y='m NGF', title='08756X0032/F1')+guides(color='none')+scale_x_date(date_breaks = \"1 year\", date_labels = \"%Y\")\n",
    "print(p)"
   ]
  }
 ],
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