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BUG: NumericIndex.astype(complex) should return Index[complex] #49540

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Merged
mroeschke merged 1 commit into from
Nov 8, 2022
Merged

BUG: NumericIndex.astype(complex) should return Index[complex] #49540

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4 changes: 2 additions & 2 deletions pandas/conftest.py
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Original file line number Diff line number Diff line change
Expand Up @@ -597,8 +597,8 @@ def _create_mi_with_dt64tz_level():
"uint": tm.makeUIntIndex(100),
"range": tm.makeRangeIndex(100),
"float": tm.makeFloatIndex(100),
"complex64": tm.makeFloatIndex(100).astype("complex64"),
"complex128": tm.makeFloatIndex(100).astype("complex128"),
"complex64": tm.makeNumericIndex(100, dtype="float64").astype("complex64"),
"complex128": tm.makeNumericIndex(100, dtype="float64").astype("complex128"),
"num_int64": tm.makeNumericIndex(100, dtype="int64"),
"num_int32": tm.makeNumericIndex(100, dtype="int32"),
"num_int16": tm.makeNumericIndex(100, dtype="int16"),
Expand Down
7 changes: 6 additions & 1 deletion pandas/core/indexes/base.py
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Original file line number Diff line number Diff line change
Expand Up @@ -89,6 +89,7 @@
ensure_platform_int,
is_bool_dtype,
is_categorical_dtype,
is_complex_dtype,
is_dtype_equal,
is_ea_or_datetimelike_dtype,
is_extension_array_dtype,
Expand Down Expand Up @@ -1044,7 +1045,11 @@ def astype(self, dtype, copy: bool = True):
# this block is needed so e.g. NumericIndex[int8].astype("int32") returns
# NumericIndex[int32] and not Int64Index with dtype int64.
# When Int64Index etc. are removed from the code base, removed this also.
if isinstance(dtype, np.dtype) and is_numeric_dtype(dtype):
if (
isinstance(dtype, np.dtype)
and is_numeric_dtype(dtype)
and not is_complex_dtype(dtype)
):
return self._constructor(
new_values, name=self.name, dtype=dtype, copy=False
)
Expand Down
6 changes: 6 additions & 0 deletions pandas/tests/indexes/common.py
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Expand Up @@ -896,3 +896,9 @@ def test_invalid_dtype(self, invalid_dtype):
msg = rf"Incorrect `dtype` passed: expected \w+(?: \w+)?, received {dtype}"
with pytest.raises(ValueError, match=msg):
self._index_cls([1, 2, 3], dtype=dtype)

@pytest.mark.parametrize("complex_dtype", [np.complex64, np.complex128])
def test_astype_to_complex(self, complex_dtype, simple_index):
result = simple_index.astype(complex_dtype)

assert type(result) is Index and result.dtype == complex_dtype