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Allow dtype='category' or dtype=None for Series with Categorical #12636

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Allow dtype='category' or dtype=None for Series with Categorical #12636

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9bfd321
Allow dtype='category' for Series with Categorical
drewfustin Mar 16, 2016
d7f927f
BUG: fixed to allow dtype=category when Series with Categorical is cr…
drewfustin Mar 16, 2016
ed42b87
BUG: fixed to allow dtype=category when Series with Categorical is cr…
drewfustin Mar 16, 2016
fd07315
BUG: fixed to allow dtype=category when Series with Categorical is cr…
drewfustin Mar 16, 2016
ca1b9e7
BUG: fixed to allow dtype=category when Series with Categorical is cr…
drewfustin Mar 16, 2016
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2 changes: 2 additions & 0 deletions doc/source/whatsnew/v0.18.1.txt
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Expand Up @@ -93,3 +93,5 @@ Bug Fixes
- Bug in ``value_counts`` when ``normalize=True`` and ``dropna=True`` where nulls still contributed to the normalized count (:issue:`12558`)

- Bug in ``CategoricalIndex.get_loc`` returns different result from regular ``Index`` (:issue:`12531`)

- Bug in ``Series`` when Series with Categorical is created with dtype specified (:issue:`12574`)
7 changes: 5 additions & 2 deletions pandas/core/series.py
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Expand Up @@ -195,9 +195,12 @@ def __init__(self, data=None, index=None, dtype=None, name=None,
else:
data = data.reindex(index, copy=copy)
elif isinstance(data, Categorical):
if dtype is not None:
# GH12574: Allow dtype=category only, otherwise error
if ((dtype is not None) and
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this is not right here; use is_categorical_dtype(dtype)

not is_categorical_dtype(dtype)):
raise ValueError("cannot specify a dtype with a "
"Categorical")
"Categorical unless "
"dtype='category'")
elif (isinstance(data, types.GeneratorType) or
(compat.PY3 and isinstance(data, map))):
data = list(data)
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11 changes: 11 additions & 0 deletions pandas/tests/series/test_constructors.py
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Expand Up @@ -139,6 +139,17 @@ def test_constructor_categorical(self):
res = Series(cat)
self.assertTrue(res.values.equals(cat))

# GH12574
self.assertRaises(
ValueError, lambda: Series(pd.Categorical([1, 2, 3]),
dtype='int64'))
cat = Series(pd.Categorical([1, 2, 3]), dtype='category')
self.assertTrue(com.is_categorical_dtype(cat))
self.assertTrue(com.is_categorical_dtype(cat.dtype))
s = Series([1, 2, 3], dtype='category')
self.assertTrue(com.is_categorical_dtype(s))
self.assertTrue(com.is_categorical_dtype(s.dtype))

def test_constructor_maskedarray(self):
data = ma.masked_all((3, ), dtype=float)
result = Series(data)
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