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[ArrayManager] Groupby cython aggregation - python pyfallback #40047

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Merged
merged 1 commit into from
Feb 25, 2021
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[ArrayManager] Groupby cython aggregation - python pyfallback #40047

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9 changes: 5 additions & 4 deletions pandas/core/groupby/generic.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1120,19 +1120,20 @@ def cast_agg_result(result, values: ArrayLike, how: str) -> ArrayLike:

return result

def py_fallback(bvalues: ArrayLike) -> ArrayLike:
def py_fallback(values: ArrayLike) -> ArrayLike:
# if self.grouper.aggregate fails, we fall back to a pure-python
# solution

# We get here with a) EADtypes and b) object dtype
obj: FrameOrSeriesUnion

# call our grouper again with only this block
if isinstance(bvalues, ExtensionArray):
if isinstance(values, ExtensionArray) or values.ndim == 1:
# TODO(EA2D): special case not needed with 2D EAs
obj = Series(bvalues)
obj = Series(values)
else:
obj = DataFrame(bvalues.T)
# TODO special case not needed with ArrayManager
obj = DataFrame(values.T)
if obj.shape[1] == 1:
# Avoid call to self.values that can occur in DataFrame
# reductions; see GH#28949
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3 changes: 0 additions & 3 deletions pandas/tests/groupby/aggregate/test_aggregate.py
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Expand Up @@ -495,7 +495,6 @@ def test_agg_index_has_complex_internals(index):
tm.assert_frame_equal(result, expected)


@td.skip_array_manager_not_yet_implemented # TODO(ArrayManager) agg py_fallback
def test_agg_split_block():
# https://github.com/pandas-dev/pandas/issues/31522
df = DataFrame(
Expand All @@ -513,7 +512,6 @@ def test_agg_split_block():
tm.assert_frame_equal(result, expected)


@td.skip_array_manager_not_yet_implemented # TODO(ArrayManager) agg py_fallback
def test_agg_split_object_part_datetime():
# https://github.com/pandas-dev/pandas/pull/31616
df = DataFrame(
Expand Down Expand Up @@ -1205,7 +1203,6 @@ def test_aggregate_datetime_objects():
tm.assert_series_equal(result, expected)


@td.skip_array_manager_not_yet_implemented # TODO(ArrayManager) agg py_fallback
def test_aggregate_numeric_object_dtype():
# https://github.com/pandas-dev/pandas/issues/39329
# simplified case: multiple object columns where one is all-NaN
Expand Down