10BC0 MAINT remove deprecated is_categorical_dtype (#26156) · scikit-learn/scikit-learn@a790c09 · GitHub
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glemaitreglemaitre
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MAINT remove deprecated is_categorical_dtype (#26156)
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+3
-3
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‎sklearn/datasets/_arff_parser.py‎

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -427,7 +427,7 @@ def strip_single_quotes(input_string):
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categorical_columns = [
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name
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for name, dtype in frame.dtypes.items()
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if pd.api.types.is_categorical_dtype(dtype)
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if isinstance(dtype, pd.CategoricalDtype)
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]
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for col in categorical_columns:
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frame[col] = frame[col].cat.rename_categories(strip_single_quotes)
@@ -442,7 +442,7 @@ def strip_single_quotes(input_string):
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categories = {
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name: dtype.categories.tolist()
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for name, dtype in frame.dtypes.items()
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if pd.api.types.is_categorical_dtype(dtype)
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if isinstance(dtype, pd.CategoricalDtype)
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}
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return X, y, None, categories
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‎sklearn/datasets/tests/test_openml.py‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -376,7 +376,7 @@ def convert_numerical_and_categorical_dtypes(series):
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pandas_series = frame_pandas[series.name]
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if pd.api.types.is_numeric_dtype(pandas_series):
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return series.astype(pandas_series.dtype)
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elif pd.api.types.is_categorical_dtype(pandas_series):
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elif isinstance(pandas_series.dtype, pd.CategoricalDtype):
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# Compare categorical features by converting categorical liac uses
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# strings to denote the categories, we rename the categories to make
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# them comparable to the pandas parser. Fixing this behavior in

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