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ENH: Deprecate non-keyword arguments for Resampler.interpolate #41699

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ENH: Deprecate non-keyword arguments for Resampler.interpolate #41699

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ENH: Deprecate non-keyword arguments for interpolate
Anupam-USP May 28, 2021
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ENH: Deprecate non-keyword arguments for interpolate
Anupam-USP May 28, 2021
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ENH: Deprecate non-keyword arguments for interpolate
Anupam-USP May 28, 2021
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ENH: Deprecate non-keyword arguments for interpolate
Anupam-USP May 28, 2021
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ENH: Deprecate non-keyword arguments for interpolate
Anupam-USP May 28, 2021
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ENH: Deprecate non-keyword arguments for interpolate
Anupam-USP May 28, 2021
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ENH: Deprecate non-keyword arguments for interpolate
Anupam-USP May 28, 2021
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ENH: Deprecate non-keyword arguments for interpolate
Anupam-USP May 29, 2021
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Merge remote-tracking branch 'upstream/master' into Deprecation-for-i…
Anupam-USP May 29, 2021
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ENH: Deprecate non-keyword arguments for interpolate
Anupam-USP May 30, 2021
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ENH: Deprecate non-keyword arguments for interpolate
Anupam-USP Jun 2, 2021
c27e606
Merge remote-tracking branch 'upstream/master' into Deprecation-for-i…
Anupam-USP Jun 2, 2021
2954950
ENH: Deprecate non-keyword arguments for interpolate
Anupam-USP Jun 3, 2021
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Merge branch 'pandas-dev:master' into Deprecation-for-interpolate
Anupam-USP Jun 4, 2021
7ff25da
Update pandas/tests/resample/test_deprecated.py
MarcoGorelli Jun 4, 2021
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1 change: 1 addition & 0 deletions doc/source/whatsnew/v1.3.0.rst
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Expand Up @@ -683,6 +683,7 @@ Deprecations
- Deprecated passing arguments as positional (except for ``"codes"``) in :meth:`MultiIndex.codes` (:issue:`41485`)
- Deprecated passing arguments as positional in :meth:`Index.set_names` and :meth:`MultiIndex.set_names` (except for ``names``) (:issue:`41485`)
- Deprecated passing arguments (apart from ``cond`` and ``other``) as positional in :meth:`DataFrame.mask` and :meth:`Series.mask` (:issue:`41485`)
- Deprecated passing arguments as positional in :meth:`Resampler.interpolate` (other than ``"method"``) (:issue:`41485`)
- Deprecated passing arguments as positional in :meth:`DataFrame.clip` and :meth:`Series.clip` (other than ``"upper"`` and ``"lower"``) (:issue:`41485`)
- Deprecated special treatment of lists with first element a Categorical in the :class:`DataFrame` constructor; pass as ``pd.DataFrame({col: categorical, ...})`` instead (:issue:`38845`)
- Deprecated passing arguments as positional (except for ``"method"``) in :meth:`DataFrame.interpolate` and :meth:`Series.interpolate` (:issue:`41485`)
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2 changes: 2 additions & 0 deletions pandas/core/resample.py
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Expand Up @@ -34,6 +34,7 @@
from pandas.util._decorators import (
Appender,
Substitution,
deprecate_nonkeyword_arguments,
doc,
)

Expand Down Expand Up @@ -832,6 +833,7 @@ def fillna(self, method, limit=None):
"""
return self._upsample(method, limit=limit)

@deprecate_nonkeyword_arguments(version=None, allowed_args=["self", "method"])
@doc(NDFrame.interpolate, **_shared_docs_kwargs)
def interpolate(
self,
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27 changes: 27 additions & 0 deletions pandas/tests/resample/test_deprecated.py
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Expand Up @@ -278,3 +278,30 @@ def test_resample_base_with_timedeltaindex():

tm.assert_index_equal(without_base.index, exp_without_base)
tm.assert_index_equal(with_base.index, exp_with_base)


def test_interpolate_posargs_deprecation():
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# GH 41485
df = DataFrame({"ds": ["1992-08-27 07:46:48", "1992-08-27 07:46:59"], "y": [1, 4]})
s = Series(
df.iloc[:, 1].values.reshape(-1), index=pd.to_datetime(df.iloc[:, 0].values)
)
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Is there a simpler way to create s?

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I think it is needed to give this logic for s, otherwise it is taking the indexes making it not operable

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can you do something like

idx = pd.to_datetime(["1992-08-27 07:46:48", "1992-08-27 07:46:59"])
df = DataFrame({'y': [1, 4]}, index=idx)
ser = Series([1, 4], index=idx)


result = s.resample("3s").interpolate("linear")
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Once you've got the warning message, you need to put the

with tm.assert_produces_warning

back

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But with that it is not able to pass the testcase

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then you need to fix the code so it passes the testcase 😄


df = DataFrame(
{
"ds": [
"1992-08-27 07:46:48",
"1992-08-27 07:46:51",
"1992-08-27 07:46:54",
"1992-08-27 07:46:57",
],
"y": [1.0, 1.0, 1.0, 1.0],
}
)
expected = Series(
df.iloc[:, 1].values.reshape(-1), index=pd.to_datetime(df.iloc[:, 0].values)
)
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construct expected explicitly, don't put logic in tests

expected.index.freq = "3s"
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@jbrockmendel in other tests I've seen you do

    expected.index._data.freq = "3s"
  • is that preferrable here, or is this OK?

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the ._data.freq = is preferable

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tm.assert_series_equal(result, expected)