Fix SA01 errors for Series.dtype, Series.is_unique, Series.shape (#58542)

* DOC: fix SA01 error for Series.dtype * DOC: fix SA01 error for Series.is_unique * DOC: fix SA01 error for Series.shape

Author: shriyakalakata

ci/code_checks.sh

@@ -196,15 +196,13 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
  -i "pandas.Series.dt.tz_convert PR01,PR02" \
  -i "pandas.Series.dt.tz_localize PR01,PR02" \
  -i "pandas.Series.dt.unit GL08" \
- -i "pandas.Series.dtype SA01" \
  -i "pandas.Series.eq PR07,SA01" \
  -i "pandas.Series.floordiv PR07" \
  -i "pandas.Series.ge PR07,SA01" \
  -i "pandas.Series.gt PR07,SA01" \
  -i "pandas.Series.hasnans SA01" \
  -i "pandas.Series.is_monotonic_decreasing SA01" \
  -i "pandas.Series.is_monotonic_increasing SA01" \
- -i "pandas.Series.is_unique SA01" \
  -i "pandas.Series.kurt RT03,SA01" \
  -i "pandas.Series.kurtosis RT03,SA01" \
  -i "pandas.Series.le PR07,SA01" \
@@ -236,7 +234,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
  -i "pandas.Series.rsub PR07" \
  -i "pandas.Series.rtruediv PR07" \
  -i "pandas.Series.sem PR01,RT03,SA01" \
- -i "pandas.Series.shape SA01" \
  -i "pandas.Series.skew RT03,SA01" \
  -i "pandas.Series.sparse PR01,SA01" \
  -i "pandas.Series.sparse.density SA01" \

pandas/core/base.py

@@ -342,6 +342,12 @@ def shape(self) -> Shape:
  """
  Return a tuple of the shape of the underlying data.
 
+ See Also
+ --------
+ Series.ndim : Number of dimensions of the underlying data.
+ Series.size : Return the number of elements in the underlying data.
+ Series.nbytes : Return the number of bytes in the underlying data.
+
  Examples
  --------
  >>> s = pd.Series([1, 2, 3])
@@ -1102,6 +1108,12 @@ def is_unique(self) -> bool:
  -------
  bool
 
+ See Also
+ --------
+ Series.unique : Return unique values of Series object.
+ Series.drop_duplicates : Return Series with duplicate values removed.
+ Series.duplicated : Indicate duplicate Series values.
+
  Examples
  --------
  >>> s = pd.Series([1, 2, 3])

pandas/core/series.py

@@ -626,6 +626,13 @@ def dtype(self) -> DtypeObj:
  """
  Return the dtype object of the underlying data.
 
+ See Also
+ --------
+ Series.dtypes : Return the dtype object of the underlying data.
+ Series.astype : Cast a pandas object to a specified dtype dtype.
+ Series.convert_dtypes : Convert columns to the best possible dtypes using dtypes
+ supporting pd.NA.
+
  Examples
  --------
  >>> s = pd.Series([1, 2, 3])