From 8c0777ed0d00cafe32fbb1b37e40396898601490 Mon Sep 17 00:00:00 2001 From: Tuhin Sharma Date: Sun, 6 Oct 2024 23:08:49 +0530 Subject: [PATCH] DOC: fix SA01 for pandas.arrays.DatetimeArray (#59982) --- ci/code_checks.sh | 1 - pandas/core/arrays/datetimes.py | 8 ++++++++ 2 files changed, 8 insertions(+), 1 deletion(-) diff --git a/ci/code_checks.sh b/ci/code_checks.sh index 6f4534ba4a4de..5ef4f26e66134 100755 --- a/ci/code_checks.sh +++ b/ci/code_checks.sh @@ -110,7 +110,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then -i "pandas.api.types.is_re_compilable PR07,SA01" \ -i "pandas.api.types.pandas_dtype PR07,RT03,SA01" \ -i "pandas.arrays.ArrowExtensionArray PR07,SA01" \ - -i "pandas.arrays.DatetimeArray SA01" \ -i "pandas.arrays.IntegerArray SA01" \ -i "pandas.arrays.IntervalArray.left SA01" \ -i "pandas.arrays.IntervalArray.length SA01" \ diff --git a/pandas/core/arrays/datetimes.py b/pandas/core/arrays/datetimes.py index 43f4428118aa7..41128e52e31b3 100644 --- a/pandas/core/arrays/datetimes.py +++ b/pandas/core/arrays/datetimes.py @@ -205,6 +205,14 @@ class DatetimeArray(dtl.TimelikeOps, dtl.DatelikeOps): # type: ignore[misc] ------- None + See Also + -------- + DatetimeIndex : Immutable Index for datetime-like data. + Series : One-dimensional labeled array capable of holding datetime-like data. + Timestamp : Pandas replacement for python datetime.datetime object. + to_datetime : Convert argument to datetime. + period_range : Return a fixed frequency PeriodIndex. + Examples -------- >>> pd.arrays.DatetimeArray._from_sequence(