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BUG: Categorical.from_codes should not warn on empty codes #29336

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Merged
merged 1 commit into from
Nov 2, 2019
Merged

BUG: Categorical.from_codes should not warn on empty codes #29336

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2 changes: 1 addition & 1 deletion pandas/core/arrays/categorical.py
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Original file line number Diff line number Diff line change
Expand Up @@ -673,7 +673,7 @@ def from_codes(cls, codes, categories=None, ordered=None, dtype=None):
raise ValueError(msg)

codes = np.asarray(codes) # #21767
if not is_integer_dtype(codes):
if len(codes) and not is_integer_dtype(codes):
msg = "codes need to be array-like integers"
if is_float_dtype(codes):
icodes = codes.astype("i8")
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3 changes: 3 additions & 0 deletions pandas/tests/arrays/categorical/test_constructors.py
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Expand Up @@ -526,6 +526,9 @@ def test_from_codes_with_float(self):
codes = [1.0, 2.0, 0] # integer, but in float dtype
dtype = CategoricalDtype(categories=["a", "b", "c"])

# empty codes should not raise for floats
Categorical.from_codes([], dtype.categories)

with tm.assert_produces_warning(FutureWarning):
cat = Categorical.from_codes(codes, dtype.categories)
tm.assert_numpy_array_equal(cat.codes, np.array([1, 2, 0], dtype="i1"))
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