Use pd.concat() instead of append()

Author: qiuosier

ads/feature_engineering/accessor/dataframe_accessor.py

@@ -218,7 +218,7 @@ def feature_type_description(self) -> pd.DataFrame:
         for col in self._obj:
             series_feature_type_df = self._obj[col].ads.feature_type_description
             series_feature_type_df.insert(0, "Column", col)
-            result_df = result_df.append(series_feature_type_df)
+            result_df = pd.concat([result_df, series_feature_type_df])
         result_df.reset_index(drop=True, inplace=True)
         return result_df
 

ads/feature_engineering/accessor/mixin/eda_mixin.py

@@ -262,5 +262,5 @@ def warning(self) -> pd.DataFrame:
             warning_df = self._obj[col].ads.warning()
             if warning_df is not None:
                 warning_df.insert(0, "Column", col)
-                result_df = result_df.append(warning_df)
+                result_df = pd.concat([result_df, warning_df])
         return result_df.reset_index(drop=True)

ads/feature_engineering/accessor/mixin/eda_mixin_series.py

@@ -80,6 +80,6 @@ def warning(self) -> pd.DataFrame:
                 warning_df = feature_type.warning(self._obj)
                 if warning_df is not None:
                     warning_df.insert(0, "Feature Type", feature_type.name)
-                    result_df = result_df.append(warning_df)
+                    result_df = pd.concat([result_df, warning_df])
         result_df.reset_index(drop=True, inplace=True)
         return result_df

ads/feature_engineering/accessor/mixin/feature_types_mixin.py

@@ -115,14 +115,14 @@ def warning_registered(self) -> pd.DataFrame:
             for col in self._obj.columns:
                 feature_type_df = self._obj[col].ads.warning_registered()
                 feature_type_df.insert(0, "Column", col)
-                result_df = result_df.append(feature_type_df)
+                result_df = pd.concat([result_df, feature_type_df])
         else:
             result_df = pd.DataFrame((), columns=common_columns)
             for feature_type in self._feature_type:
                 feature_type_df = feature_type.warning.registered()
                 feature_type_df.insert(0, "Feature Type", feature_type.name)
                 feature_type_df = feature_type_df.rename(columns={"Name": "Warning"})
-                result_df = result_df.append(feature_type_df)
+                result_df = pd.concat([result_df, feature_type_df])
         result_df.reset_index(drop=True, inplace=True)
         return result_df
 
@@ -155,14 +155,14 @@ def validator_registered(self) -> pd.DataFrame:
             for col in self._obj.columns:
                 feature_type_df = self._obj[col].ads.validator_registered()
                 feature_type_df.insert(0, "Column", col)
-                result_df = result_df.append(feature_type_df)
+                result_df = pd.concat([result_df, feature_type_df])
         else:
             result_df = pd.DataFrame((), columns=common_columns)
             for feature_type in self._feature_type:
                 feature_type_df = feature_type.validator.registered()
                 feature_type_df.insert(0, "Feature Type", feature_type.name)
                 feature_type_df = feature_type_df.rename(columns={"Name": "Validator"})
-                result_df = result_df.append(feature_type_df)
+                result_df = pd.concat([result_df, feature_type_df])
         result_df.reset_index(drop=True, inplace=True)
         return result_df
 

ads/feature_engineering/feature_type/handler/feature_validator.py

@@ -261,7 +261,7 @@ def registered(self) -> pd.DataFrame:
         for key, feature_validator in self._validators.items():
             feature_validators_df = feature_validator.registered()
             feature_validators_df.insert(0, "Validator", key)
-            result_df = result_df.append(feature_validators_df)
+            result_df = pd.concat([result_df, feature_validators_df])
         result_df.reset_index(drop=True, inplace=True)
         return result_df
 

ads/feature_engineering/feature_type_manager.py

@@ -371,7 +371,7 @@ def warning_registered(cls) -> pd.DataFrame:
             feature_type_df = feature_type.warning.registered()
             feature_type_df.insert(0, "Feature Type", feature_type.name)
             feature_type_df = feature_type_df.rename(columns={"Name": "Warning"})
-            result_df = result_df.append(feature_type_df)
+            result_df = pd.concat([result_df, feature_type_df])
         result_df.reset_index(drop=True, inplace=True)
         return result_df
 
@@ -401,6 +401,6 @@ def validator_registered(cls) -> pd.DataFrame:
             feature_type_df = feature_type.validator.registered()
             feature_type_df.insert(0, "Feature Type", feature_type.name)
             feature_type_df = feature_type_df.rename(columns={"Name": "Validator"})
-            result_df = result_df.append(feature_type_df)
+            result_df = pd.concat([result_df, feature_type_df])
         result_df.reset_index(drop=True, inplace=True)
         return result_df