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DOC: fix EX02 errors in docstrings #51369

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DOC: fix EX02 errors in docstrings #51369

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4e7ace9
DOC: fix EX02 errors in docstrings IV
natmokval Feb 13, 2023
55cbf75
add doctest skip
natmokval Feb 14, 2023
f1d2486
Merge branch 'main' into 51236-EX02-errors-docstrings-IV
natmokval Feb 15, 2023
a5f616d
Merge branch 'main' into 51236-EX02-errors-docstrings-IV
natmokval Feb 16, 2023
3324424
Resolve merge conflict
natmokval Feb 16, 2023
7da751c
add doctest skip II
natmokval Feb 16, 2023
46e2048
Merge remote-tracking branch 'upstream/main' into pr/natmokval/51236-…
Feb 16, 2023
ad95c49
post-merge fixup
Feb 16, 2023
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2 changes: 0 additions & 2 deletions ci/code_checks.sh
100755 → 100644
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Expand Up @@ -576,7 +576,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
$BASE_DIR/scripts/validate_docstrings.py --format=actions --errors=EX02 --ignore_functions \
pandas.DataFrame.plot.line \
pandas.Series.plot.line \
pandas.Timestamp.fromtimestamp \
pandas.api.types.infer_dtype \
pandas.api.types.is_datetime64_any_dtype \
pandas.api.types.is_datetime64_ns_dtype \
Expand All @@ -590,7 +589,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
pandas.api.types.is_timedelta64_dtype \
pandas.api.types.is_timedelta64_ns_dtype \
pandas.api.types.is_unsigned_integer_dtype \
pandas.core.groupby.DataFrameGroupBy.take \
pandas.core.groupby.SeriesGroupBy.take \
pandas.io.formats.style.Styler.concat \
pandas.io.formats.style.Styler.export \
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2 changes: 1 addition & 1 deletion pandas/_libs/tslibs/timestamps.pyx
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Expand Up @@ -1451,7 +1451,7 @@ class Timestamp(_Timestamp):

Examples
--------
>>> pd.Timestamp.fromtimestamp(1584199972)
>>> pd.Timestamp.fromtimestamp(1584199972) # doctest: +SKIP
Timestamp('2020-03-14 15:32:52')

Note that the output may change depending on your local time.
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4 changes: 2 additions & 2 deletions pandas/core/groupby/generic.py
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Expand Up @@ -933,7 +933,7 @@ def take(

Examples
--------
>>> df = DataFrame([('falcon', 'bird', 389.0),
>>> df = pd.DataFrame([('falcon', 'bird', 389.0),
... ('parrot', 'bird', 24.0),
... ('lion', 'mammal', 80.5),
... ('monkey', 'mammal', np.nan),
Expand Down Expand Up @@ -2358,7 +2358,7 @@ def take(

Examples
--------
>>> df = DataFrame([('falcon', 'bird', 389.0),
>>> df = pd.DataFrame([('falcon', 'bird', 389.0),
... ('parrot', 'bird', 24.0),
... ('lion', 'mammal', 80.5),
... ('monkey', 'mammal', np.nan),
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