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BUG: DataFrame.explode doesn't work for pyarrow.large_list type #61105

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Merged
merged 1 commit into from
Mar 11, 2025
Merged

BUG: DataFrame.explode doesn't work for pyarrow.large_list type #61105

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1 change: 1 addition & 0 deletions doc/source/whatsnew/v3.0.0.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -780,6 +780,7 @@ Reshaping
^^^^^^^^^
- Bug in :func:`qcut` where values at the quantile boundaries could be incorrectly assigned (:issue:`59355`)
- Bug in :meth:`DataFrame.combine_first` not preserving the column order (:issue:`60427`)
- Bug in :meth:`DataFrame.explode` producing incorrect result for :class:`pyarrow.large_list` type (:issue:`61091`)
- Bug in :meth:`DataFrame.join` inconsistently setting result index name (:issue:`55815`)
- Bug in :meth:`DataFrame.join` when a :class:`DataFrame` with a :class:`MultiIndex` would raise an ``AssertionError`` when :attr:`MultiIndex.names` contained ``None``. (:issue:`58721`)
- Bug in :meth:`DataFrame.merge` where merging on a column containing only ``NaN`` values resulted in an out-of-bounds array access (:issue:`59421`)
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5 changes: 4 additions & 1 deletion pandas/core/arrays/arrow/array.py
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Expand Up @@ -1938,7 +1938,10 @@ def _explode(self):
"""
# child class explode method supports only list types; return
# default implementation for non list types.
if not pa.types.is_list(self.dtype.pyarrow_dtype):
if not (
pa.types.is_list(self.dtype.pyarrow_dtype)
or pa.types.is_large_list(self.dtype.pyarrow_dtype)
):
return super()._explode()
values = self
counts = pa.compute.list_value_length(values._pa_array)
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7 changes: 4 additions & 3 deletions pandas/tests/series/methods/test_explode.py
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Expand Up @@ -145,8 +145,9 @@ def test_explode_scalars_can_ignore_index():


@pytest.mark.parametrize("ignore_index", [True, False])
def test_explode_pyarrow_list_type(ignore_index):
# GH 53602
@pytest.mark.parametrize("list_type", ["list_", "large_list"])
def test_explode_pyarrow_list_type(ignore_index, list_type):
# GH 53602, 61091
pa = pytest.importorskip("pyarrow")

data = [
Expand All @@ -156,7 +157,7 @@ def test_explode_pyarrow_list_type(ignore_index):
[2, 3],
None,
]
ser = pd.Series(data, dtype=pd.ArrowDtype(pa.list_(pa.int64())))
ser = pd.Series(data, dtype=pd.ArrowDtype(getattr(pa, list_type)(pa.int64())))
result = ser.explode(ignore_index=ignore_index)
expected = pd.Series(
data=[None, None, 1, None, 2, 3, None],
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