lint

Author: jreback

doc/source/whatsnew/v0.25.0.rst

@@ -164,7 +164,9 @@ resulting dtypes to same as the input dtype; previously this would coerce to a d
 
 .. ipython:: python
 
-   df = pd.DataFrame({'A': pd.Series([1, np.nan, 3], dtype=pd.SparseDtype('float64', np.nan))})
+   df = pd.DataFrame(
+       {'A': pd.Series([1, np.nan, 3],
+                       dtype=pd.SparseDtype('float64', np.nan))})
    df
    df.dtypes
 
@@ -192,8 +194,9 @@ Previously, columns that were categorical, but not the groupby key(s) would be c
 
 .. ipython:: python
 
-   df = pd.DataFrame({'payload': [-1,-2,-1,-2],
-                      'col': pd.Categorical(["foo", "bar", "bar", "qux"], ordered=True)})
+   df = pd.DataFrame(
+       {'payload': [-1, -2, -1, -2],
+        'col': pd.Categorical(["foo", "bar", "bar", "qux"], ordered=True)})
    df
    df.dtypes
 

pandas/core/groupby/groupby.py

@@ -1183,7 +1183,7 @@ def median(self, **kwargs):
             return self._cython_agg_general(
                 'median',
                 alt=lambda x,
-                axis: Series(x).median(**kwargs),
+                axis: Series(x).median(axis=axis, **kwargs),
                 **kwargs)
         except GroupByError:
             raise