Add Parameter doc strings

Author: topper-123

doc/source/whatsnew/v1.1.0.rst

@@ -60,8 +60,9 @@ Backwards incompatible API changes
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 - :meth:`DataFrame.swaplevels` now raises a  ``TypeError`` if the axis is not a :class:`MultiIndex`.
   Previously a ``AttributeError`` was raised (:issue:`31126`)
-- :meth:`DataFrameGroupby.mean` and :meth:`SeriesGroupby.mean` (and similarly for ``median``, ``std`` and ``var``)
-  now raises a  ``TypeError`` if a not-accepted keyword argument is passed into it. Previously a ``UnsupportedFunctionCall`` was raised. (:issue:`31485`)
+- :meth:`DataFrameGroupby.mean` and :meth:`SeriesGroupby.mean` (and similarly for :meth:`~DataFrameGroupby.median`, :meth:`~DataFrameGroupby.std`` and :meth:`~DataFrameGroupby.var``)
+  now raise a  ``TypeError`` if a not-accepted keyword argument is passed into it.
+  Previously a ``UnsupportedFunctionCall`` was raised (``AssertionError`` if ``min_count`` passed into :meth:`~DataFrameGroupby.median``) (:issue:`31485`)
 
 
 .. ---------------------------------------------------------------------------

pandas/core/groupby/groupby.py

@@ -1184,6 +1184,12 @@ def mean(self, numeric_only: bool = True):
         """
         Compute mean of groups, excluding missing values.
 
+        Parameters
+        ----------
+        numeric_only : bool, default True
+            Include only float, int, boolean columns. If None, will attempt to use
+            everything, then use only numeric data.
+
         Returns
         -------
         pandas.Series or pandas.DataFrame
@@ -1230,24 +1236,27 @@ def mean(self, numeric_only: bool = True):
 
     @Substitution(name="groupby")
     @Appender(_common_see_also)
-    def median(self, numeric_only=True, min_count=-1):
+    def median(self, numeric_only=True):
         """
         Compute median of groups, excluding missing values.
 
         For multiple groupings, the result index will be a MultiIndex
 
+        Parameters
+        ----------
+        numeric_only : bool, default True
+            Include only float, int, boolean columns. If None, will attempt to use
+            everything, then use only numeric data.
+
         Returns
         -------
         Series or DataFrame
             Median of values within each group.
         """
         return self._cython_agg_general(
             "median",
-            alt=lambda x, axis: Series(x).median(
-                axis=axis, numeric_only=numeric_only, min_count=numeric_only
-            ),
+            alt=lambda x, axis: Series(x).median(axis=axis, numeric_only=numeric_only),
             numeric_only=numeric_only,
-            min_count=min_count,
         )
 
     @Substitution(name="groupby")