From f95558fab024a3b2da7d7111a9bd75079287b385 Mon Sep 17 00:00:00 2001
From: Tuhin Sharma <tuhinsharma121@gmail.com>
Date: Wed, 22 Jan 2025 12:38:57 -0500
Subject: [PATCH] DOC: fix PR07,SA01 for pandas.arrays.TimedeltaArray (#60757)

---
 ci/code_checks.sh                | 1 -
 pandas/core/arrays/timedeltas.py | 8 +++++++-
 2 files changed, 7 insertions(+), 2 deletions(-)

diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index 948d8bee8ba5b..1b0e555c38b69 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -79,7 +79,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Timestamp.min PR02" \
         -i "pandas.Timestamp.resolution PR02" \
         -i "pandas.Timestamp.tzinfo GL08" \
-        -i "pandas.arrays.TimedeltaArray PR07,SA01" \
         -i "pandas.core.groupby.DataFrameGroupBy.plot PR02" \
         -i "pandas.core.groupby.SeriesGroupBy.plot PR02" \
         -i "pandas.core.resample.Resampler.quantile PR01,PR07" \
diff --git a/pandas/core/arrays/timedeltas.py b/pandas/core/arrays/timedeltas.py
index a8a0037d0bbb9..c5b3129c506c8 100644
--- a/pandas/core/arrays/timedeltas.py
+++ b/pandas/core/arrays/timedeltas.py
@@ -115,10 +115,10 @@ class TimedeltaArray(dtl.TimelikeOps):
     ----------
     data : array-like
         The timedelta data.
-
     dtype : numpy.dtype
         Currently, only ``numpy.dtype("timedelta64[ns]")`` is accepted.
     freq : Offset, optional
+        Frequency of the data.
     copy : bool, default False
         Whether to copy the underlying array of data.
 
@@ -130,6 +130,12 @@ class TimedeltaArray(dtl.TimelikeOps):
     -------
     None
 
+    See Also
+    --------
+    Timedelta : Represents a duration, the difference between two dates or times.
+    TimedeltaIndex : Immutable Index of timedelta64 data.
+    to_timedelta : Convert argument to timedelta.
+
     Examples
     --------
     >>> pd.arrays.TimedeltaArray._from_sequence(pd.TimedeltaIndex(["1h", "2h"]))