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DEPR: Deprecate dtype inference on pandas objects #56244

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Merged
merged 15 commits into from
Dec 21, 2023
Merged

DEPR: Deprecate dtype inference on pandas objects #56244

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86700a7
DEPR: Deprecate dtype inference on pandas objects
phofl Nov 29, 2023
7daf535
Fixup tests
phofl Nov 29, 2023
2b28aa2
Update base.py
phofl Nov 30, 2023
d55dfc8
Merge branch 'main' into dep_inference_pandas_obejct
phofl Dec 8, 2023
329edb3
Merge branch 'main' into dep_inference_pandas_obejct
phofl Dec 9, 2023
1c6c3e3
Fixup
phofl Dec 9, 2023
855340b
Merge branch 'main' into dep_inference_pandas_obejct
phofl Dec 11, 2023
5a6244c
Update accessor.py
phofl Dec 14, 2023
24eff80
Update pandas/core/indexes/base.py
phofl Dec 18, 2023
eef58ea
Update pandas/core/frame.py
phofl Dec 18, 2023
ab2a735
Update pandas/core/series.py
phofl Dec 18, 2023
ab62a31
Update series.py
phofl Dec 18, 2023
0e828b7
Update
phofl Dec 21, 2023
86f1a94
Address comments
phofl Dec 21, 2023
cd067cc
Address comments
phofl Dec 21, 2023
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@phofl
phofl committed Dec 21, 2023
commit cd067cc8b6f9fa4424e9086459bad1b2f1560e7b
5 changes: 2 additions & 3 deletions pandas/tests/series/accessors/test_dt_accessor.py
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Expand Up @@ -259,10 +259,9 @@ def test_dt_accessor_limited_display_api(self):
tm.assert_almost_equal(results, sorted(set(ok_for_dt + ok_for_dt_methods)))

# Period
idx = period_range("20130101", periods=5, freq="D", name="xxx").astype(object)
with tm.assert_produces_warning(FutureWarning, match="Dtype inference"):
ser = Series(
period_range("20130101", periods=5, freq="D", name="xxx").astype(object)
)
ser = Series(idx)
results = get_dir(ser)
tm.assert_almost_equal(
results, sorted(set(ok_for_period + ok_for_period_methods))
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2 changes: 1 addition & 1 deletion pandas/tests/series/methods/test_between.py
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Expand Up @@ -20,7 +20,7 @@ def test_between(self):
tm.assert_series_equal(result, expected)

def test_between_datetime_object_dtype(self):
ser = Series(bdate_range("1/1/2000", periods=20).astype(object), dtype=object)
ser = Series(bdate_range("1/1/2000", periods=20), dtype=object)
ser[::2] = np.nan

result = ser[ser.between(ser[3], ser[17])]
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