typos

Author: jreback

doc/source/user_guide/reshaping.rst

@@ -831,10 +831,10 @@ You can join this with the original to get an expanded ``DataFrame``.
    df[['keys']]join(df['values'].explode())
 
 
-This routine will preserve replace empty lists with ``np.nan`` and preserve scalar entries. The dtype of the resulting ``Series`` is always ``object``.
+This routine will replace empty lists with ``np.nan`` and preserve scalar entries. The dtype of the resulting ``Series`` is always ``object``.
 
 .. ipython:: python
 
-   s = pd.Series([[1, 2, 3], np.nan, [], ['a', 'b']])
+   s = pd.Series([[1, 2, 3], 'foo', [], ['a', 'b']])
    s
    s.explode()

pandas/core/series.py

@@ -3652,12 +3652,12 @@ def explode(self) -> 'Series':
 
         Examples
         --------
-        In [1]: s = pd.Series([[1, 2, 3], np.nan, [], [3, 4]])
+        In [1]: s = pd.Series([[1, 2, 3], 'foo', [], [3, 4]])
 
         In [2]: s
         Out[2]:
         0    [1, 2, 3]
-        1          NaN
+        1          foo
         2           []
         3       [3, 4]
         dtype: object
@@ -3667,7 +3667,7 @@ def explode(self) -> 'Series':
         0      1
         0      2
         0      3
-        1    NaN
+        1    foo
         2    NaN
         3      3
         3      4