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ENH: Add dtype param for pandas.Series.str.get_dummies #47958

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ENH: Add dtype param for pandas.Series.str.get_dummies #47958

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6 changes: 4 additions & 2 deletions pandas/core/strings/accessor.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2136,7 +2136,7 @@ def wrap(self, width, **kwargs):
return self._wrap_result(result)

@forbid_nonstring_types(["bytes"])
def get_dummies(self, sep="|"):
def get_dummies(self, sep="|", dtype=np.int64):
"""
Return DataFrame of dummy/indicator variables for Series.

Expand All @@ -2147,6 +2147,8 @@ def get_dummies(self, sep="|"):
----------
sep : str, default "|"
String to split on.
dtype : numpy.dtype, default np.int64
The numpy dtype to use for the result ndarray.

Returns
-------
Expand Down Expand Up @@ -2174,7 +2176,7 @@ def get_dummies(self, sep="|"):
"""
# we need to cast to Series of strings as only that has all
# methods available for making the dummies...
result, name = self._data.array._str_get_dummies(sep)
result, name = self._data.array._str_get_dummies(sep, dtype=dtype)
return self._wrap_result(
result,
name=name,
Expand Down
4 changes: 2 additions & 2 deletions pandas/core/strings/object_array.py
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Original file line number Diff line number Diff line change
Expand Up @@ -354,7 +354,7 @@ def _str_wrap(self, width, **kwargs):
tw = textwrap.TextWrapper(**kwargs)
return self._str_map(lambda s: "\n".join(tw.wrap(s)))

def _str_get_dummies(self, sep="|"):
def _str_get_dummies(self, sep="|", dtype=np.int64):
from pandas import Series

arr = Series(self).fillna("")
Expand All @@ -368,7 +368,7 @@ def _str_get_dummies(self, sep="|"):
tags.update(ts)
tags2 = sorted(tags - {""})

dummies = np.empty((len(arr), len(tags2)), dtype=np.int64)
dummies = np.empty((len(arr), len(tags2)), dtype=dtype)

for i, t in enumerate(tags2):
pat = sep + t + sep
Expand Down