open_data_afnic.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Import des dépendences\n",
    "import pandas as pd \n",
    "import vaex as vx\n",
    "\n",
    "from datetime import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = vx.from_csv(\"https://www.afnic.fr/data/opendata/202004_OPENDATA_A-NomsDeDomaineEnPointFr.zip\",  delimiter=\";\", encoding='latin1', header=0, index_col=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 0 ns, sys: 0 ns, total: 0 ns\n",
      "Wall time: 1.23 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "for name in df.column_names: #Personne n'aime les espace dans les headers ni les accents \n",
    "    df.rename(name, name.replace('é', 'e').lower())\n",
    "\n",
    "#On prépare une colonne avec une date correcte\n",
    "def from_french_date(d):\n",
    "    try:\n",
    "        return datetime.strptime(d, '%d-%m-%Y').strftime('%Y-%m-%d')\n",
    "    except ValueError:\n",
    "        return None\n",
    "    \n",
    "df.create_at = df.date_de_creation.apply(from_french_date).astype('datetime64[ns]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 15.6 ms, sys: 15.6 ms, total: 31.2 ms\n",
      "Wall time: 3.77 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "df_filtered = df[df.create_at.dt.year >= 2020]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 15.6 ms, sys: 0 ns, total: 15.6 ms\n",
      "Wall time: 3.4 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "df_filtered.create_at = df_filtered.date_de_creation.apply(from_french_date).astype('datetime64[ns]')\n",
    "df_filtered.delete_at = df_filtered.date_de_retrait_du_whois.apply(from_french_date).astype('datetime64[ns]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 15.6 ms, sys: 0 ns, total: 15.6 ms\n",
      "Wall time: 18.7 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "df_filtered.select(df_filtered.date_de_retrait_du_whois.isnan(), name=\"actif\")\n",
    "df_filtered.select(df_filtered.date_de_retrait_du_whois.notnan(), name=\"inactif\")\n",
    "df_filtered.select(df_filtered.nom_de_domaine.str.contains('covid'), name='covid')\n",
    "df_filtered.select((df_filtered.nom_de_domaine.str.contains('covid') and df_filtered.date_de_retrait_du_whois.isnan()), name='covid_actif')\n",
    "df_filtered.select((df_filtered.nom_de_domaine.str.contains('covid') and df_filtered.date_de_retrait_du_whois.notnan()), name='covid_inactif')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 4min 51s, sys: 1min 35s, total: 6min 27s\n",
      "Wall time: 5min 19s\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([  1182, 208732,    847, 208732,    847])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "df_filtered.count(selection=[\"covid\", \"actif\", \"inactif\", \"covid_actif\", \"covid_inactif\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 62.5 ms, sys: 15.6 ms, total: 78.1 ms\n",
      "Wall time: 61.9 ms\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead>\n",
       "<tr><th>#                              </th><th>date_de_creation  </th><th>count  </th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "<tr><td><i style='opacity: 0.6'>0</i>  </td><td>27-04-2020        </td><td>2681   </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>1</i>  </td><td>20-04-2020        </td><td>2483   </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>2</i>  </td><td>16-01-2020        </td><td>2477   </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>3</i>  </td><td>29-04-2020        </td><td>2471   </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>4</i>  </td><td>12-02-2020        </td><td>2453   </td></tr>\n",
       "<tr><td>...                            </td><td>...               </td><td>...    </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>115</i></td><td>08-03-2020        </td><td>894    </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>116</i></td><td>14-03-2020        </td><td>856    </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>117</i></td><td>15-03-2020        </td><td>820    </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>118</i></td><td>22-02-2020        </td><td>818    </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>119</i></td><td>01-01-2020        </td><td>680    </td></tr>\n",
       "</tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "#    date_de_creation    count\n",
       "0    27-04-2020          2681\n",
       "1    20-04-2020          2483\n",
       "2    16-01-2020          2477\n",
       "3    29-04-2020          2471\n",
       "4    12-02-2020          2453\n",
       "...  ...                 ...\n",
       "115  08-03-2020          894\n",
       "116  14-03-2020          856\n",
       "117  15-03-2020          820\n",
       "118  22-02-2020          818\n",
       "119  01-01-2020          680"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "df_filtered.groupby(df_filtered.date_de_creation, agg='count').sort('count', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 172 ms, sys: 0 ns, total: 172 ms\n",
      "Wall time: 102 ms\n"
     ]
    },
    {
     "data": {
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       " 'achetermasquecovid19.fr',\n",
       " 'acovid.fr',\n",
       " 'actanticovid.fr',\n",
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       " 'actions-fondations-covid.fr',\n",
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       " 'affiche-covid-19.fr',\n",
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       " 'affichescovid19.fr',\n",
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       " 'aide-scolaire-parentale-covid-19.fr',\n",
       " 'aides-entreprises-covid19.fr',\n",
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       " 'moncovid.fr',\n",
       " 'moncovid19.fr',\n",
       " 'monecrancovid.fr',\n",
       " 'mon-masque-covid.fr',\n",
       " 'monsuivicovid.fr',\n",
       " 'montest-covid19.fr',\n",
       " 'montestcovid19.fr',\n",
       " 'ms-covid19.fr',\n",
       " 'mystopcovid19.fr',\n",
       " 'mytestcovid-19.fr',\n",
       " 'ncovid.fr',\n",
       " 'nettoyage-covid-19.fr',\n",
       " 'nettoyage-covid19.fr',\n",
       " 'nettoyagecovid19.fr',\n",
       " 'neuro-covid.fr',\n",
       " 'neurocovid.fr',\n",
       " 'neuro-covid-19.fr',\n",
       " 'neurocovid-19.fr',\n",
       " 'neurocovid19.fr',\n",
       " 'neurologie-covid.fr',\n",
       " 'nocovid-acaciam54.fr',\n",
       " 'nocovid.fr',\n",
       " 'non-au-covid.fr',\n",
       " 'non-covid19.fr',\n",
       " 'non-stopcovid.fr',\n",
       " 'nutricovid.fr',\n",
       " 'okcovid.fr',\n",
       " 'oncovid.fr',\n",
       " 'opencovid.fr',\n",
       " 'opencovid19.fr',\n",
       " 'opendatacovid.fr',\n",
       " 'openstopcovid.fr',\n",
       " 'orientation-covid.fr',\n",
       " 'pack-protection-covid19.fr',\n",
       " 'packprotectioncovid19.fr',\n",
       " 'pandemie-covid19.fr',\n",
       " 'pandemiecovid19.fr',\n",
       " 'panneau-information-entreprise-covid-19.fr',\n",
       " 'para-covid.fr',\n",
       " 'paracovid.fr',\n",
       " 'pariscovid19.fr',\n",
       " 'passcovid.fr',\n",
       " 'passportcovid.fr',\n",
       " 'perte-exploitation-covid19.fr',\n",
       " 'pharmaciecovid19.fr',\n",
       " 'pharmacovid.fr',\n",
       " 'pharmat-consommablescovid19pourofficines.fr',\n",
       " 'phrc-imageriecovid.fr',\n",
       " 'plainte-covid.fr',\n",
       " 'plaintecovid.fr',\n",
       " 'planningcovidthenon.fr',\n",
       " 'planningurgencescovid.fr',\n",
       " 'plexi-covid.fr',\n",
       " 'pme-covid19.fr',\n",
       " 'positifcovid.fr',\n",
       " 'post-covid.fr',\n",
       " 'postcovid.fr',\n",
       " 'post-covid-19.fr',\n",
       " 'postcovid-19.fr',\n",
       " 'postcovid19.fr',\n",
       " 'poursortirducovid.fr',\n",
       " 'prediction-covid19.fr',\n",
       " 'preinscription-covidom.fr',\n",
       " 'preventioncovid.fr',\n",
       " 'prevention-covid19.fr',\n",
       " 'preventioncovid19.fr',\n",
       " 'prodcovid19.fr',\n",
       " 'produits-covid-19.fr',\n",
       " 'produits-covid19.fr',\n",
       " 'protec-covid.fr',\n",
       " 'protecovid19.fr',\n",
       " 'protectagainstcovid19.fr',\n",
       " 'protect-covid.fr',\n",
       " 'protectcovid.fr',\n",
       " 'protect-covid19.fr',\n",
       " 'protectcovid19.fr',\n",
       " 'protection-anti-covid19.fr',\n",
       " 'protectionanticovid19.fr',\n",
       " 'protection-covid-centre-valdeloire.fr',\n",
       " 'protection-covid.fr',\n",
       " 'protectioncovid.fr',\n",
       " 'protection-covid-france.fr',\n",
       " 'protection-covid-magasin.fr',\n",
       " 'protection-covid-19.fr',\n",
       " 'protection-covid19.fr',\n",
       " 'protectioncovid19.fr',\n",
       " 'protection-covid19-france.fr',\n",
       " 'protection-masque-antiviral-covid19.fr',\n",
       " 'protections-covid.fr',\n",
       " 'protections-covid-19.fr',\n",
       " 'protections-covid19.fr',\n",
       " 'protectionscovid19.fr',\n",
       " 'protectionvisagecovid.fr',\n",
       " 'protectiv-covid19.fr',\n",
       " 'protocolcovid.fr',\n",
       " 'protocovid.fr',\n",
       " 'psychomotricite-covid19.fr',\n",
       " 'psycovid.fr',\n",
       " 'psycovid-19.fr',\n",
       " 'psycovid19.fr',\n",
       " 'psy-solidaires-covid.fr',\n",
       " 'ptf85-covid19.fr',\n",
       " 'publicovid.fr',\n",
       " 'pv-covid.fr',\n",
       " 'pvcovid.fr',\n",
       " 'qrcovid.fr',\n",
       " 'qualitesecuritecovid19.fr',\n",
       " 'qualitysecuritycovid19.fr',\n",
       " 'questionnaire-covid19.fr',\n",
       " 'questionnaires-covid19.fr',\n",
       " 'radiocovid.fr',\n",
       " 'rapide-test-covid19.fr',\n",
       " 'rapid-test-covid19.fr',\n",
       " 'rapidtestcovid19.fr',\n",
       " 'rdvcovid.fr',\n",
       " 'rea-covid.fr',\n",
       " 'recours-covid.fr',\n",
       " 'recovid-19.fr',\n",
       " 'referent-covid-chantier.fr',\n",
       " 'referent-covid.fr',\n",
       " 'referentcovid.fr',\n",
       " 'referent-covid-19.fr',\n",
       " 'referent-covid19.fr',\n",
       " 'referentcovid-19.fr',\n",
       " 'referent-securite-covid-19.fr',\n",
       " 'referent-securite-covid19.fr',\n",
       " 'remboursementcovid19.fr',\n",
       " 'renfort-covid.fr',\n",
       " 'renfort-covid-occitanie.fr',\n",
       " 'renfort-covid-paca.fr',\n",
       " 'renforts-covid.fr',\n",
       " 'rescovid19.fr',\n",
       " 'reseaucovidimagerie.fr',\n",
       " 'resilience-covid.fr',\n",
       " ...]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "df_filtered.evaluate(df_filtered.nom_de_domaine, selection=\"covid\").tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
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   "name": "python",
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