def replace_nan_chars(X: cudf.DataFrame, nan_chars):
cat_cols = X.select_dtypes([
'object',
])
if cat_cols.shape[1] > 0:
cat_cols = cat_cols.replace(nan_chars, cupy.nan)
X[cat_cols.columns] = cat_cols
return X
