Julia/scraping_Leoni_d_oro_julia.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Scraping dei vincitori del Leone d'Oro alla Mostra di Venezia"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "using Cascadia, Gumbo, HTTP, DataFrames, PyPlot, Dates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2018-11-26T08:41:11.033"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "date_start = Dates.now()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "200\n",
      "HTTP.Messages.Response\n",
      "HTMLDocument\n"
     ]
    }
   ],
   "source": [
    "sorgente = HTTP.get(\"https://it.wikipedia.org/wiki/Leone_d%27oro_al_miglior_film\");\n",
    "println(sorgente.status)\n",
    "\n",
    "html = parsehtml(String(sorgente.body));\n",
    "println(typeof(sorgente))\n",
    "println(typeof(html))\n",
    "\n",
    "# estraggo la sola tabella html dei vincitori\n",
    "tabella = eachmatch(Selector(\".wikitable\"),html.root);\n",
    "\n",
    "#println(typeof(tabella))\n",
    "#println(size(tabella))\n",
    "#println(length(tabella))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Array \"Anni\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# funzionante tenere\n",
    "anni = []\n",
    "for i = 2:length(tabella[1][1][1:length(tabella[1][1].children)])\n",
    "    value_anno = nodeText(tabella[1][1][i][1])\n",
    "    if value_anno != \"1953\" && value_anno != \"1956\" && value_anno != \"1969-1972\" && value_anno != \"1973\" && value_anno != \"1974-1976\" && value_anno != \"1977-1978\" && value_anno != \"1979\" \n",
    "        child_length = length(tabella[1][1][i].children)\n",
    "        if child_length < 4\n",
    "            #println(nodeText(tabella[1][1][i-1][1]))\n",
    "            #println(\"minore di 4\")\n",
    "            push!(anni, nodeText(tabella[1][1][i-1][1]));\n",
    "        elseif child_length == 4\n",
    "            #println(nodeText(tabella[1][1][i][1]))\n",
    "            #println(\"uguale a 4\")\n",
    "            push!(anni, nodeText(tabella[1][1][i][1]));\n",
    "        end\n",
    "    end\n",
    "end\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Array \"Nazioni\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "nazioni = []\n",
    "for i = 2:length(tabella[1][1][1:length(tabella[1][1].children)])\n",
    "    value_anno = nodeText(tabella[1][1][i][1])\n",
    "    if value_anno != \"1953\" && value_anno != \"1956\" && value_anno != \"1969-1972\" && value_anno != \"1973\" && value_anno != \"1974-1976\" && value_anno != \"1977-1978\" && value_anno != \"1979\" \n",
    "        if length(tabella[1][1][i].children) < 4\n",
    "            #println(nodeText(tabella[1][1][i][3][2][1]))\n",
    "            #println(\"minore di 4\")\n",
    "            push!(nazioni, nodeText(tabella[1][1][i][3][2][1]))\n",
    "        elseif length(tabella[1][1][i].children) == 4\n",
    "            #println(nodeText(tabella[1][1][i][4][2][1]))\n",
    "            #println(\"uguale a 4\")\n",
    "            push!(nazioni, nodeText(tabella[1][1][i][4][2][1]))\n",
    "        end\n",
    "    end\n",
    "end"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# sistemo le eccezioni delle annate con doppia o tripla nazionalità di produzione del film vincitore\n",
    "vect_1 = [\n",
    "    nodeText(tabella[1][1][24][1]),nodeText(tabella[1][1][46][1]),\n",
    "    nodeText(tabella[1][1][62][1]),nodeText(tabella[1][1][62][1])\n",
    "];\n",
    "vect_2 = [\n",
    "    nodeText(tabella[1][1][24][4][5]),\n",
    "    nodeText(tabella[1][1][47][3][5]),\n",
    "nodeText(tabella[1][1][62][4][5]),\n",
    "nodeText(tabella[1][1][62][4][8])\n",
    "];"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### dataframe e grafico"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df1 = DataFrame(A = nazioni, B =anni);\n",
    "df2 = DataFrame(A = vect_2, B = vect_1);\n",
    "df = append!(df1,df2);\n",
    "headers = nodeText(tabella[1][1][1]);\n",
    "headers= split(headers);\n",
    "names!(df, Symbol.([headers[4],headers[1]]));\n",
    "#df = unique(df, [:Nazione,:Anno]); # eliminiamo il problema delle annate con doppio vincitore della stessa nazionalità\n",
    "\n",
    "graph_data = by(df, :Nazione, nrow); # groupby per conteggio delle occorrenze di ciascuna nazione\n",
    "graph_data = sort!(graph_data, :x1, rev=true); #sort dal più alto al più basso"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "Figure(PyObject <Figure size 1000x1000 with 1 Axes>)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "PyObject Text(0.5, 0.98, \"Paesi vincitori del Leone d'Oro\")"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig = figure(\"pyplot_barplot\",figsize=(10,10))\n",
    "b = bar(graph_data.Nazione,\n",
    "    graph_data.x1,color=\"#0f87bf\",\n",
    "    align=\"center\",\n",
    "    alpha=0.4\n",
    "    )\n",
    "xlabel(\"\")\n",
    "ylabel(\"Numero di Leoni d'Oro vinti\")\n",
    "xticks(rotation=70)\n",
    "suptitle(\"Paesi vincitori del Leone d'Oro\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "17513 milliseconds\n"
     ]
    }
   ],
   "source": [
    "date_end = Dates.now()\n",
    "println(date_end - date_start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "#fine ,Julia rulez :P"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Julia 1.0.2",
   "language": "julia",
   "name": "julia-1.0"
  },
  "language_info": {
   "file_extension": ".jl",
   "mimetype": "application/julia",
   "name": "julia",
   "version": "1.0.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}