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Faster categorical column names selection #1

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Nov 9, 2021
Merged

Faster categorical column names selection #1

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da14662
Faster categorical column names selection
Neronuser Nov 9, 2021
8ee25d3
rename variable
Neronuser Nov 9, 2021
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3 changes: 2 additions & 1 deletion python-package/lightgbm/basic.py
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Original file line number Diff line number Diff line change
Expand Up @@ -16,6 +16,7 @@

import numpy as np
import scipy.sparse
from pandas import CategoricalDtype

from .compat import PANDAS_INSTALLED, concat, dt_DataTable, is_dtype_sparse, pd_DataFrame, pd_Series
from .libpath import find_lib_path
Expand Down Expand Up @@ -566,7 +567,7 @@ def _data_from_pandas(data, feature_name, categorical_feature, pandas_categorica
raise ValueError('Input data must be 2 dimensional and non empty.')
if feature_name == 'auto' or feature_name is None:
data = data.rename(columns=str)
cat_cols = list(data.select_dtypes(include=['category']).columns)
cat_cols = [col for col, dtype in zip(data.columns, data.dtypes) if isinstance(dtype, CategoricalDtype)]
cat_cols_not_ordered = [col for col in cat_cols if not data[col].cat.ordered]
if pandas_categorical is None: # train dataset
pandas_categorical = [list(data[col].cat.categories) for col in cat_cols]
Expand Down