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added check if categoricalDtype for issue #19278 #20644

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9 changes: 9 additions & 0 deletions pandas/core/sparse/series.py
Original file line number Diff line number Diff line change
Expand Up @@ -19,6 +19,7 @@
import pandas.core.ops as ops
import pandas._libs.index as libindex
from pandas.util._decorators import Appender
from pandas.api.types import is_categorical_dtype

from pandas.core.sparse.array import (
make_sparse, SparseArray,
Expand Down Expand Up @@ -129,6 +130,14 @@ def __init__(self, data=None, index=None, sparse_index=None, kind='block',
'be False.')

else:
if is_categorical_dtype(data):
if dtype is not None:
data = data.astype(dtype)
if index is None:
index = data.index.view()
else:
data = data.reindex(index, copy=False)

length = len(index)

if data == fill_value or (isna(data) and isna(fill_value)):
Expand Down