Avoid pandas warning in samples when reading Accidents/Places table

Author: folmos-at-orange

doc/samples/samples_sklearn.rst

@@ -218,7 +218,9 @@ Samples
     accidents_df = pd.read_csv(os.path.join(accidents_data_dir, "Accidents.txt"), sep="\t")
     users_df = pd.read_csv(os.path.join(accidents_data_dir, "Users.txt"), sep="\t")
     vehicles_df = pd.read_csv(os.path.join(accidents_data_dir, "Vehicles.txt"), sep="\t")
-    places_df = pd.read_csv(os.path.join(accidents_data_dir, "Places.txt"), sep="\t")
+    places_df = pd.read_csv(
+        os.path.join(accidents_data_dir, "Places.txt"), sep="\t", low_memory=False
+    )
 
     # Build the multi-table dataset spec (drop the target column "Gravity")
     X = {
@@ -588,7 +590,9 @@ Samples
     accidents_df = pd.read_csv(os.path.join(accidents_data_dir, "Accidents.txt"), sep="\t")
     users_df = pd.read_csv(os.path.join(accidents_data_dir, "Users.txt"), sep="\t")
     vehicles_df = pd.read_csv(os.path.join(accidents_data_dir, "Vehicles.txt"), sep="\t")
-    places_df = pd.read_csv(os.path.join(accidents_data_dir, "Places.txt"), sep="\t")
+    places_df = pd.read_csv(
+        os.path.join(accidents_data_dir, "Places.txt"), sep="\t", low_memory=False
+    )
 
     # Build the multi-table dataset spec (drop the target column "Gravity")
     X = {

khiops/samples/samples_sklearn.ipynb

@@ -243,7 +243,9 @@
     "accidents_df = pd.read_csv(os.path.join(accidents_data_dir, \"Accidents.txt\"), sep=\"\\t\")\n",
     "users_df = pd.read_csv(os.path.join(accidents_data_dir, \"Users.txt\"), sep=\"\\t\")\n",
     "vehicles_df = pd.read_csv(os.path.join(accidents_data_dir, \"Vehicles.txt\"), sep=\"\\t\")\n",
-    "places_df = pd.read_csv(os.path.join(accidents_data_dir, \"Places.txt\"), sep=\"\\t\")\n",
+    "places_df = pd.read_csv(\n",
+    "    os.path.join(accidents_data_dir, \"Places.txt\"), sep=\"\\t\", low_memory=False\n",
+    ")\n",
     "\n",
     "# Build the multi-table dataset spec (drop the target column \"Gravity\")\n",
     "X = {\n",
@@ -704,7 +706,9 @@
     "accidents_df = pd.read_csv(os.path.join(accidents_data_dir, \"Accidents.txt\"), sep=\"\\t\")\n",
     "users_df = pd.read_csv(os.path.join(accidents_data_dir, \"Users.txt\"), sep=\"\\t\")\n",
     "vehicles_df = pd.read_csv(os.path.join(accidents_data_dir, \"Vehicles.txt\"), sep=\"\\t\")\n",
-    "places_df = pd.read_csv(os.path.join(accidents_data_dir, \"Places.txt\"), sep=\"\\t\")\n",
+    "places_df = pd.read_csv(\n",
+    "    os.path.join(accidents_data_dir, \"Places.txt\"), sep=\"\\t\", low_memory=False\n",
+    ")\n",
     "\n",
     "# Build the multi-table dataset spec (drop the target column \"Gravity\")\n",
     "X = {\n",

khiops/samples/samples_sklearn.py

@@ -218,7 +218,9 @@ def khiops_classifier_multitable_snowflake():
     vehicles_df = pd.read_csv(
         os.path.join(accidents_data_dir, "Vehicles.txt"), sep="\t"
     )
-    places_df = pd.read_csv(os.path.join(accidents_data_dir, "Places.txt"), sep="\t")
+    places_df = pd.read_csv(
+        os.path.join(accidents_data_dir, "Places.txt"), sep="\t", low_memory=False
+    )
 
     # Build the multi-table dataset spec (drop the target column "Gravity")
     X = {
@@ -614,7 +616,9 @@ def khiops_encoder_multitable_snowflake():
     vehicles_df = pd.read_csv(
         os.path.join(accidents_data_dir, "Vehicles.txt"), sep="\t"
     )
-    places_df = pd.read_csv(os.path.join(accidents_data_dir, "Places.txt"), sep="\t")
+    places_df = pd.read_csv(
+        os.path.join(accidents_data_dir, "Places.txt"), sep="\t", low_memory=False
+    )
 
     # Build the multi-table dataset spec (drop the target column "Gravity")
     X = {