DOC: add SA01 for pandas.Series.ge (#59067)

Author: tuhinsharma121

ci/code_checks.sh

@@ -154,7 +154,6 @@ 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.ge SA01" \
         -i "pandas.Series.gt SA01" \
         -i "pandas.Series.list.__getitem__ SA01" \
         -i "pandas.Series.list.flatten SA01" \

pandas/core/series.py

@@ -6050,8 +6050,69 @@ def lt(self, other, level=None, fill_value=None, axis: Axis = 0) -> Series:
             other, operator.lt, level=level, fill_value=fill_value, axis=axis
         )
 
-    @Appender(ops.make_flex_doc("ge", "series"))
     def ge(self, other, level=None, fill_value=None, axis: Axis = 0) -> Series:
+        """
+        Return Greater than or equal to of series and other, \
+        element-wise (binary operator `ge`).
+
+        Equivalent to ``series >= other``, but with support to substitute a
+        fill_value for missing data in either one of the inputs.
+
+        Parameters
+        ----------
+        other : Series or scalar value
+            The second operand in this operation.
+        level : int or name
+            Broadcast across a level, matching Index values on the
+            passed MultiIndex level.
+        fill_value : None or float value, default None (NaN)
+            Fill existing missing (NaN) values, and any new element needed for
+            successful Series alignment, with this value before computation.
+            If data in both corresponding Series locations is missing
+            the result of filling (at that location) will be missing.
+        axis : {0 or 'index'}
+            Unused. Parameter needed for compatibility with DataFrame.
+
+        Returns
+        -------
+        Series
+            The result of the operation.
+
+        See Also
+        --------
+        Series.gt : Greater than comparison, element-wise.
+        Series.le : Less than or equal to comparison, element-wise.
+        Series.lt : Less than comparison, element-wise.
+        Series.eq : Equal to comparison, element-wise.
+        Series.ne : Not equal to comparison, element-wise.
+
+        Examples
+        --------
+        >>> a = pd.Series([1, 1, 1, np.nan, 1], index=["a", "b", "c", "d", "e"])
+        >>> a
+        a    1.0
+        b    1.0
+        c    1.0
+        d    NaN
+        e    1.0
+        dtype: float64
+        >>> b = pd.Series([0, 1, 2, np.nan, 1], index=["a", "b", "c", "d", "f"])
+        >>> b
+        a    0.0
+        b    1.0
+        c    2.0
+        d    NaN
+        f    1.0
+        dtype: float64
+        >>> a.ge(b, fill_value=0)
+        a     True
+        b     True
+        c    False
+        d    False
+        e     True
+        f    False
+        dtype: bool
+        """
         return self._flex_method(
             other, operator.ge, level=level, fill_value=fill_value, axis=axis
         )