DOC: fix docstring validation errors for pandas.Series (#59633)

* fixed Series.sparse and Series.sparse.to_coo and removed from ci/code_checks.sh

* fixed errors from pre-commit

* fixed errors from pre-commit

Author: pol-rius

ci/code_checks.sh

@@ -134,12 +134,10 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Series.dt.tz_localize PR01,PR02" \
         -i "pandas.Series.dt.unit GL08" \
         -i "pandas.Series.pad PR01,SA01" \
-        -i "pandas.Series.sparse PR01,SA01" \
         -i "pandas.Series.sparse.fill_value SA01" \
         -i "pandas.Series.sparse.from_coo PR07,SA01" \
         -i "pandas.Series.sparse.npoints SA01" \
         -i "pandas.Series.sparse.sp_values SA01" \
-        -i "pandas.Series.sparse.to_coo PR07,RT03,SA01" \
         -i "pandas.Timedelta.asm8 SA01" \
         -i "pandas.Timedelta.ceil SA01" \
         -i "pandas.Timedelta.components SA01" \

pandas/core/arrays/sparse/accessor.py

@@ -47,6 +47,18 @@ class SparseAccessor(BaseAccessor, PandasDelegate):
     """
     Accessor for SparseSparse from other sparse matrix data types.
 
+    Parameters
+    ----------
+    data : Series or DataFrame
+        The Series or DataFrame to which the SparseAccessor is attached.
+
+    See Also
+    --------
+    Series.sparse.to_coo : Create a scipy.sparse.coo_matrix from a Series with
+        MultiIndex.
+    Series.sparse.from_coo : Create a Series with sparse values from a
+        scipy.sparse.coo_matrix.
+
     Examples
     --------
     >>> ser = pd.Series([0, 0, 2, 2, 2], dtype="Sparse[int]")
@@ -135,7 +147,9 @@ def to_coo(
         Parameters
         ----------
         row_levels : tuple/list
+            MultiIndex levels to use for row coordinates, specified by name or index.
         column_levels : tuple/list
+            MultiIndex levels to use for column coordinates, specified by name or index.
         sort_labels : bool, default False
             Sort the row and column labels before forming the sparse matrix.
             When `row_levels` and/or `column_levels` refer to a single level,
@@ -144,8 +158,16 @@ def to_coo(
         Returns
         -------
         y : scipy.sparse.coo_matrix
+            The sparse matrix in coordinate format.
         rows : list (row labels)
+            Labels corresponding to the row coordinates.
         columns : list (column labels)
+            Labels corresponding to the column coordinates.
+
+        See Also
+        --------
+        Series.sparse.from_coo : Create a Series with sparse values from a
+            scipy.sparse.coo_matrix.
 
         Examples
         --------