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Remove downcast argument from resample.interpolate #62866

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Merged
merged 1 commit into from
Oct 27, 2025
Merged

Remove downcast argument from resample.interpolate #62866

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8 changes: 0 additions & 8 deletions pandas/core/resample.py
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Original file line number Diff line number Diff line change
Expand Up @@ -850,7 +850,6 @@ def interpolate(
inplace: bool = False,
limit_direction: Literal["forward", "backward", "both"] = "forward",
limit_area=None,
downcast=lib.no_default,
**kwargs,
):
"""
Expand Down Expand Up @@ -907,11 +906,6 @@ def interpolate(
(interpolate).
* 'outside': Only fill NaNs outside valid values (extrapolate).
downcast : optional, 'infer' or None, defaults to None
Downcast dtypes if possible.
.. deprecated:: 2.1.0
**kwargs : optional
Keyword arguments to pass on to the interpolating function.
Expand Down Expand Up @@ -993,7 +987,6 @@ def interpolate(
Note that the series correctly decreases between two anchors
``07:00:00`` and ``07:00:02``.
"""
assert downcast is lib.no_default # just checking coverage
result = self._upsample("asfreq")

# If the original data has timestamps which are not aligned with the
Expand Down Expand Up @@ -1030,7 +1023,6 @@ def interpolate(
inplace=inplace,
limit_direction=limit_direction,
limit_area=limit_area,
downcast=downcast,
**kwargs,
)

Expand Down
4 changes: 2 additions & 2 deletions pandas/tests/copy_view/test_interp_fillna.py
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Expand Up @@ -134,7 +134,7 @@ def test_interpolate_object_convert_copies():
arr_a = get_array(df, "a")
msg = "Can not interpolate with method=pad"
with pytest.raises(ValueError, match=msg):
df.interpolate(method="pad", inplace=True, downcast="infer")
df.interpolate(method="pad", inplace=True)

assert df._mgr._has_no_reference(0)
assert np.shares_memory(arr_a, get_array(df, "a"))
Expand All @@ -148,7 +148,7 @@ def test_interpolate_downcast_reference_triggers_copy():

msg = "Can not interpolate with method=pad"
with pytest.raises(ValueError, match=msg):
df.interpolate(method="pad", inplace=True, downcast="infer")
df.interpolate(method="pad", inplace=True)
assert df._mgr._has_no_reference(0)
assert not np.shares_memory(arr_a, get_array(df, "a"))

Expand Down
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