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Renommer notebook

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Antoine JOUBREL 2024-01-13 13:14:11 +00:00
parent 2af25bd339
commit 85cf6cad02
1 changed files with 15 additions and 134 deletions
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149
Clean-Notebook.ipynb → Exploration_billet_AJ.ipynb
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@ -10,7 +10,7 @@
}, },
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"id": "15103481-8d74-404c-aa09-7601fe7730da", "id": "15103481-8d74-404c-aa09-7601fe7730da",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@ -32,7 +32,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 13, "execution_count": 2,
"id": "5d83bb1a-d341-446e-91f6-1c428607f6d4", "id": "5d83bb1a-d341-446e-91f6-1c428607f6d4",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@ -60,7 +60,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 14, "execution_count": 3,
"id": "699664b9-eee4-4f8d-a207-e524526560c5", "id": "699664b9-eee4-4f8d-a207-e524526560c5",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@ -84,7 +84,7 @@
} }
], ],
"source": [ "source": [
"liste_database_select = ['suppliers', 'ticket', 'purchase', 'consumption', 'customer', 'event', 'target', 'prod', 'campa']\n", "liste_database_select = ['suppliers', 'ticket', 'purchase', 'consumption', 'type_ofs']\n",
"\n", "\n",
"# Filtrer la liste pour les éléments contenant au moins un élément de la liste à tester\n", "# Filtrer la liste pour les éléments contenant au moins un élément de la liste à tester\n",
"liste_database_filtered = [element for element in liste_database if any(element_part in element for element_part in liste_database_select)]\n", "liste_database_filtered = [element for element in liste_database if any(element_part in element for element_part in liste_database_select)]\n",
@ -124,50 +124,6 @@
" globals()[nom_dataframe] = df" " globals()[nom_dataframe] = df"
] ]
}, },
{
"cell_type": "code",
"execution_count": 25,
"id": "7d1da9df-f423-4a9f-a2a6-6d8ceeab1c34",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"_\n",
"__\n",
"___\n",
"df\n",
"df1_purchases\n",
"df1_suppliers\n",
"df1_tickets\n",
"dataframe\n",
"_7\n",
"_10\n",
"_11\n",
"_18\n",
"_20\n",
"df1_customer_target_mappings\n",
"df1_customersplus\n",
"df1_event_types\n",
"df1_events\n",
"df1_target_types\n",
"df1_targets\n"
]
}
],
"source": [
"# Obtenir toutes les variables globales\n",
"variables_globales = globals()\n",
"\n",
"# Filtrer les variables pour obtenir uniquement les DataFrames\n",
"dataframes = {nom: variable for nom, variable in variables_globales.items() if isinstance(variable, pd.DataFrame)}\n",
"\n",
"# Afficher les noms et les DataFrames\n",
"for nom, dataframe in dataframes.items():\n",
" print(f\"{nom}\")"
]
},
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "78453f3c-4f89-44ed-a6c6-2a7443b72b52", "id": "78453f3c-4f89-44ed-a6c6-2a7443b72b52",
@ -407,97 +363,22 @@
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"metadata": {}, "metadata": {},
"outputs": [ "outputs": [],
{
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"source": [ "source": [
"pd.DataFrame(df1_suppliers.isna().mean()*100)" "df1_suppliers.isna().mean()*100"
] ]
}, },
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