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BUG: Fix fillna on multi indexed Dataframe doesn't work #47774

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Merged
merged 9 commits into from
Aug 23, 2022
Merged

BUG: Fix fillna on multi indexed Dataframe doesn't work #47774

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462134d
fix 47649
xr-chen Jul 17, 2022
1bcdaef
fix fillna ignore underlying issue
xr-chen Jul 20, 2022
5409961
fix pre commit
xr-chen Jul 20, 2022
764f0ab
add TODO
xr-chen Aug 3, 2022
f3d79a9
update TODO
xr-chen Aug 3, 2022
e384fd6
Add small changes
phofl Aug 18, 2022
336f92d
Merge branch 'main' into fillna
phofl Aug 18, 2022
79a542b
Merge branch 'main' into fillna
simonjayhawkins Aug 23, 2022
15db9ab
Update doc/source/whatsnew/v1.4.4.rst
jorisvandenbossche Aug 23, 2022
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1 change: 1 addition & 0 deletions doc/source/whatsnew/v1.5.0.rst
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Expand Up @@ -917,6 +917,7 @@ Missing
- Bug in :meth:`DataFrame.interpolate` with object-dtype column not returning a copy with ``inplace=False`` (:issue:`45791`)
- Bug in :meth:`DataFrame.dropna` allows to set both ``how`` and ``thresh`` incompatible arguments (:issue:`46575`)
- Bug in :meth:`DataFrame.fillna` ignored ``axis`` when :class:`DataFrame` is single block (:issue:`47713`)
- Bug in :meth:`DataFrame.fillna` not working on multiindexed DataFrame (:issue:`47649`)

MultiIndex
^^^^^^^^^^
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7 changes: 5 additions & 2 deletions pandas/core/generic.py
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Expand Up @@ -6674,9 +6674,12 @@ def fillna(
if k not in result:
continue
downcast_k = downcast if not is_dict else downcast.get(k)
result.loc[:, k] = result[k].fillna(
v, limit=limit, downcast=downcast_k
# GH47649
result.loc[:, k] = (
result[k].fillna(v, limit=limit, downcast=downcast_k).values
)
# TODO: Revert to result.loc[:, k] = result[k].fillna(...)
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Please put this right next to the todo and we want to use loc on both sides I think

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You mean make comments like this?

# TODO: result.loc[:, k] = result.loc[:, k].fillna(
#     v, limit=limit, downcast=downcast_k
# )
# Revert when GH45751 is fixed

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Thx

# when issue GH45751 is fixed
return result if not inplace else None

elif not is_list_like(value):
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28 changes: 28 additions & 0 deletions pandas/tests/frame/methods/test_fillna.py
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Expand Up @@ -708,6 +708,34 @@ def test_single_block_df_with_horizontal_axis(self):
)
tm.assert_frame_equal(result, expected)

def test_fillna_with_multi_index_frame(self):
# GH 47649
pdf = DataFrame(
{
("x", "a"): [np.nan, 2.0, 3.0, 4.0, np.nan, 6.0],
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Could you simplify the DataFrame? 2 rows should be sufficient.

Also please add a test with ea dtypes

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Sure, could you be more specific about what dtypes we want in the test?

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Int64 for example

("x", "b"): [1.0, 2.0, np.nan, 4.0, np.nan, np.nan],
("y", "c"): [1.0, 2.0, 3.0, 4.0, np.nan, np.nan],
}
)
expected = DataFrame(
{
("x", "a"): [-1.0, 2.0, 3.0, 4.0, -1.0, 6.0],
("x", "b"): [1.0, 2.0, -1.0, 4.0, -1.0, -1.0],
("y", "c"): [1.0, 2.0, 3.0, 4.0, np.nan, np.nan],
}
)
tm.assert_frame_equal(pdf.fillna({"x": -1}), expected)
tm.assert_frame_equal(pdf.fillna({"x": -1, ("x", "b"): -2}), expected)

expected = DataFrame(
{
("x", "a"): [-1.0, 2.0, 3.0, 4.0, -1.0, 6.0],
("x", "b"): [1.0, 2.0, -2.0, 4.0, -2.0, -2.0],
("y", "c"): [1.0, 2.0, 3.0, 4.0, np.nan, np.nan],
}
)
tm.assert_frame_equal(pdf.fillna({("x", "b"): -2, "x": -1}), expected)


def test_fillna_nonconsolidated_frame():
# https://github.com/pandas-dev/pandas/issues/36495
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