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Align concat Series name behavior in pandas 2.2 #15032

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Feb 15, 2024
Merged

Align concat Series name behavior in pandas 2.2 #15032

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ef289f0
Align concat Series name behavior in pandas 2.2
mroeschke Feb 12, 2024
f2a6025
Add reason
mroeschke Feb 13, 2024
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Merge remote-tracking branch 'upstream/branch-24.04' into p22/test_co…
mroeschke Feb 13, 2024
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Merge remote-tracking branch 'upstream/branch-24.04' into p22/test_co…
mroeschke Feb 14, 2024
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mroeschke Feb 14, 2024
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16 changes: 8 additions & 8 deletions python/cudf/cudf/core/reshape.py
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Original file line number Diff line number Diff line change
Expand Up @@ -102,17 +102,17 @@ def _normalize_series_and_dataframe(objs, axis):
"""Convert any cudf.Series objects in objs to DataFrames in place."""
# Default to naming series by a numerical id if they are not named.
sr_name = 0
for idx, o in enumerate(objs):
if isinstance(o, cudf.Series):
if axis == 1:
name = o.name
if name is None:
for idx, obj in enumerate(objs):
if isinstance(obj, cudf.Series):
name = obj.name
if name is None:
if axis == 0:
name = 0
else:
name = sr_name
sr_name += 1
else:
name = sr_name

objs[idx] = o.to_frame(name=name)
objs[idx] = obj.to_frame(name=name)


def concat(objs, axis=0, join="outer", ignore_index=False, sort=None):
Expand Down
84 changes: 48 additions & 36 deletions python/cudf/cudf/tests/test_concat.py
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Expand Up @@ -10,7 +10,7 @@

import cudf
from cudf.api.types import _is_categorical_dtype
from cudf.core._compat import PANDAS_GE_200
from cudf.core._compat import PANDAS_GE_200, PANDAS_GE_220
from cudf.core.dtypes import Decimal32Dtype, Decimal64Dtype, Decimal128Dtype
from cudf.testing._utils import (
assert_eq,
Expand Down Expand Up @@ -460,41 +460,53 @@ def test_concat_mixed_input():
[pd.Series([], dtype="float64"), pd.DataFrame({"a": []})],
[pd.Series([], dtype="float64"), pd.DataFrame({"a": [1, 2]})],
[pd.Series([1, 2, 3.0, 1.2], name="abc"), pd.DataFrame({"a": [1, 2]})],
[
pd.Series(
[1, 2, 3.0, 1.2], name="abc", index=[100, 110, 120, 130]
),
pd.DataFrame({"a": [1, 2]}),
],
[
pd.Series(
[1, 2, 3.0, 1.2], name="abc", index=["a", "b", "c", "d"]
),
pd.DataFrame({"a": [1, 2]}, index=["a", "b"]),
],
[
pd.Series(
[1, 2, 3.0, 1.2, 8, 100],
name="New name",
index=["a", "b", "c", "d", "e", "f"],
),
pd.DataFrame(
{"a": [1, 2, 4, 10, 11, 12]},
index=["a", "b", "c", "d", "e", "f"],
),
],
[
pd.Series(
[1, 2, 3.0, 1.2, 8, 100],
name="New name",
index=["a", "b", "c", "d", "e", "f"],
),
pd.DataFrame(
{"a": [1, 2, 4, 10, 11, 12]},
index=["a", "b", "c", "d", "e", "f"],
),
]
* 7,
pytest.param(
[
pd.Series(
[1, 2, 3.0, 1.2], name="abc", index=[100, 110, 120, 130]
),
pd.DataFrame({"a": [1, 2]}),
],
marks=pytest.mark.xfail(not PANDAS_GE_220),
),
pytest.param(
[
pd.Series(
[1, 2, 3.0, 1.2], name="abc", index=["a", "b", "c", "d"]
),
pd.DataFrame({"a": [1, 2]}, index=["a", "b"]),
],
marks=pytest.mark.xfail(not PANDAS_GE_220),
),
pytest.param(
[
pd.Series(
[1, 2, 3.0, 1.2, 8, 100],
name="New name",
index=["a", "b", "c", "d", "e", "f"],
),
pd.DataFrame(
{"a": [1, 2, 4, 10, 11, 12]},
index=["a", "b", "c", "d", "e", "f"],
),
],
marks=pytest.mark.xfail(not PANDAS_GE_220),
),
pytest.param(
[
pd.Series(
[1, 2, 3.0, 1.2, 8, 100],
name="New name",
index=["a", "b", "c", "d", "e", "f"],
),
pd.DataFrame(
{"a": [1, 2, 4, 10, 11, 12]},
index=["a", "b", "c", "d", "e", "f"],
),
]
* 7,
marks=pytest.mark.xfail(not PANDAS_GE_220),
),
],
)
def test_concat_series_dataframe_input(objs):
Expand Down