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Files changed (2) hide show
  1. app.py +1 -0
  2. execution.ipynb +483 -0
app.py CHANGED
@@ -30,6 +30,7 @@ def initialize(name):
30
  articles = pd.merge(df, articles, on='item_id', how='left')
31
 
32
  count_principale = df.groupby('categorie_principale').item_id.count()
 
33
  df['categorie_secondaire'] = df.apply(lambda x : x.categorie_secondaire.split(',')[0] if x.categorie_secondaire!=None else None, axis=1)
34
  count_secondaire = df.groupby('categorie_secondaire').item_id.count()
35
  display_principale = count_principale.reset_index()
 
30
  articles = pd.merge(df, articles, on='item_id', how='left')
31
 
32
  count_principale = df.groupby('categorie_principale').item_id.count()
33
+ print(f"Name : {name}\n Data : {df}")
34
  df['categorie_secondaire'] = df.apply(lambda x : x.categorie_secondaire.split(',')[0] if x.categorie_secondaire!=None else None, axis=1)
35
  count_secondaire = df.groupby('categorie_secondaire').item_id.count()
36
  display_principale = count_principale.reset_index()
execution.ipynb CHANGED
@@ -710,6 +710,489 @@
710
  " retrieve_classifications(name, mapping)"
711
  ]
712
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  {
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  "cell_type": "markdown",
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  "metadata": {},
 
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  " retrieve_classifications(name, mapping)"
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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": 38,
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "articles = pd.read_csv('data/extract_sciences_po.csv')\n",
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+ "\n",
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+ "with open(\"data/outputs/output_favarel_et_al.txt\", 'r') as f : \n",
722
+ " out_dict = json.loads(f.read())\n",
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+ "\n",
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+ "\n",
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+ "df = pd.DataFrame.from_dict(out_dict)\n",
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+ "\n",
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+ "articles = pd.merge(df, articles, on='item_id', how='left')\n",
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+ "\n",
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+ "count_principale = df.groupby('categorie_principale').item_id.count()\n",
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+ "df['categorie_secondaire'] = df.apply(lambda x : x.categorie_secondaire.split(',')[0] if x.categorie_secondaire!=None else None, axis=1)\n",
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+ "\n",
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+ " "
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+ "<style scoped>\n",
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+ " .dataframe tbody tr th:only-of-type {\n",
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+ " vertical-align: middle;\n",
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+ " }\n",
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