From f55ade48b44349d9fac368d9afb3e4afbf9884c2 Mon Sep 17 00:00:00 2001
From: tpique-ensae <thomas.pique@ensae.fr>
Date: Wed, 27 Mar 2024 15:06:31 +0000
Subject: [PATCH] minor change

---
 0_6_segmentation_V2TP.py                      |  7 +------
 .../segment_analysis_sport_0_6.ipynb          | 20 +++++++++----------
 2 files changed, 11 insertions(+), 16 deletions(-)

diff --git a/0_6_segmentation_V2TP.py b/0_6_segmentation_V2TP.py
index 2037149..38d3dc6 100644
--- a/0_6_segmentation_V2TP.py
+++ b/0_6_segmentation_V2TP.py
@@ -48,15 +48,12 @@ model = load_model(type_of_activity, model_name)
 ### Preprocessing of data
 X_test = dataset_test[['nb_tickets', 'nb_purchases', 'total_amount', 'nb_suppliers', 'vente_internet_max', 'purchase_date_min', 'purchase_date_max', 
             'time_between_purchase', 'nb_tickets_internet',  'is_email_true', 'opt_in', #'is_partner',
-            'gender_female', 'gender_male', 'gender_other', 'nb_campaigns', 'nb_campaigns_opened']]
+            'gender_female', 'gender_male', 'gender_other', 'nb_campaigns', 'nb_campaigns_opened', 'country_fr']]
 
 y_test = dataset_test[['y_has_purchased']]
 
-
 X_test_segment = X_test
 
-X_test_segment.insert(X_test.shape[1], "country_fr", dataset_test["country_fr"])
-
 # add y_has_purchased to X_test
 X_test_segment["has_purchased"] = y_test
 
@@ -100,5 +97,3 @@ categories = list(X_test_segment_caract.drop("segment", axis=1).columns)
 radar_mp_plot_all(df=X_test_segment_caract, categories=categories)
 save_file_s3_mp(File_name = "spider_chart_all_", type_of_activity = activity)
 
-
-
diff --git a/Sport/Modelization/segment_analysis_sport_0_6.ipynb b/Sport/Modelization/segment_analysis_sport_0_6.ipynb
index 5d84692..032fff5 100644
--- a/Sport/Modelization/segment_analysis_sport_0_6.ipynb
+++ b/Sport/Modelization/segment_analysis_sport_0_6.ipynb
@@ -484,7 +484,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 88,
+   "execution_count": 180,
    "id": "e4287c1a-eab6-4897-91d6-d21804518dc4",
    "metadata": {},
    "outputs": [
@@ -884,7 +884,7 @@
        "[96096 rows x 21 columns]"
       ]
      },
-     "execution_count": 88,
+     "execution_count": 180,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -893,14 +893,14 @@
     "# Processing\n",
     "X_test = dataset_test[['nb_tickets', 'nb_purchases', 'total_amount', 'nb_suppliers', 'vente_internet_max', 'purchase_date_min', 'purchase_date_max', \n",
     "            'time_between_purchase', 'nb_tickets_internet',  'is_email_true', 'opt_in', #'is_partner',\n",
-    "            'gender_female', 'gender_male', 'gender_other', 'nb_campaigns', 'nb_campaigns_opened']]\n",
+    "            'gender_female', 'gender_male', 'gender_other', 'nb_campaigns', 'nb_campaigns_opened', 'country_fr']]\n",
     "\n",
     "y_test = dataset_test[['y_has_purchased']]\n",
     "\n",
     "\n",
     "X_test_segment = X_test\n",
     "\n",
-    "X_test_segment.insert(X_test.shape[1], \"country_fr\", dataset_test[\"country_fr\"])\n",
+    "# X_test_segment.insert(X_test.shape[1], \"country_fr\", dataset_test[\"country_fr\"])\n",
     "\n",
     "# add y_has_purchased to X_test\n",
     "X_test_segment[\"has_purchased\"] = y_test\n",
@@ -929,7 +929,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 106,
+   "execution_count": 181,
    "id": "3067d919-50c9-49e9-b0a6-b676a5dbae56",
    "metadata": {},
    "outputs": [
@@ -1022,7 +1022,7 @@
        "4                   112518.0  "
       ]
      },
-     "execution_count": 106,
+     "execution_count": 181,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1051,7 +1051,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 172,
+   "execution_count": 182,
    "id": "bd63d787-3ef8-4f23-9069-e9b16b4a0de8",
    "metadata": {},
    "outputs": [
@@ -1133,7 +1133,7 @@
        "3       4   9.345862   78.717714     68.223837     82.758529     15.937376"
       ]
      },
-     "execution_count": 172,
+     "execution_count": 182,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1467,7 +1467,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 166,
+   "execution_count": 183,
    "id": "5f908232-b0fe-4707-a8c5-5cadb7d8653f",
    "metadata": {},
    "outputs": [
@@ -1560,7 +1560,7 @@
        "3      0.170582    0.657373  "
       ]
      },
-     "execution_count": 166,
+     "execution_count": 183,
      "metadata": {},
      "output_type": "execute_result"
     }