doc test fix

Author: microslaw

doc/source/user_guide/indexing.rst

@@ -710,25 +710,6 @@ When applied to a DataFrame, you can use a column of the DataFrame as sampling w
 (provided you are sampling rows and not columns) by simply passing the name of the column
 as a string.
 
-.. ipython:: python
-
-    df2 = pd.DataFrame({'col1': [9, 8, 7, 6],
-                        'weight_column': [0.5, 0.4, 0.1, 0]})
-    df2.sample(n=2, weights='weight_column')
-
-``sample`` also allows users to sample columns instead of rows using the ``axis`` argument.
-
-.. ipython:: python
-
-    df4 = pd.DataFrame({'col1': [1, 2, 3], 'col2': [2, 3, 4]})
-
-    # With a given seed, the sample will always draw the same rows.
-    df4.sample(n=2, random_state=2)
-    df4.sample(n=2, random_state=2)
-
-
-
-Setting with enlargement
 ------------------------
 
 The ``.loc/[]`` operations can perform enlargement when setting a non-existent key for that axis.