minor doc fixes

Author: jreback

doc/source/basics.rst

@@ -919,20 +919,20 @@ be the keys, the inner the name of the functions.
 
 .. ipython:: python
 
-   tsdf.A.agg({'foo' : ['sum', 'mean']})
+   tsdf.A.agg({'foo': ['sum', 'mean']})
 
 Alternatively, using multiple dictionaries, you can have renamed elements with the aggregation
 
 .. ipython:: python
 
-    tsdf.A.agg({'foo' : 'sum', 'bar': 'mean'})
+    tsdf.A.agg({'foo': 'sum', 'bar': 'mean'})
 
 Multiple keys will yield a MultiIndex Series. The outer level will be the keys, the inner
 the names of the functions.
 
 .. ipython:: python
 
-    tsdf.A.agg({'foo' : ['sum', 'mean'], 'bar': ['min', 'max', lambda x: x.sum()+1]})
+    tsdf.A.agg({'foo': ['sum', 'mean'], 'bar': ['min', 'max', lambda x: x.sum()+1]})
 
 .. _basics.aggregation.mixed_dtypes:
 

pandas/tests/groupby/test_whitelist.py

@@ -233,7 +233,7 @@ def test_tab_completion(mframe):
     expected = set(
         ['A', 'B', 'C', 'agg', 'aggregate', 'apply', 'boxplot', 'filter',
          'first', 'get_group', 'groups', 'hist', 'indices', 'last', 'max',
-         'mean', 'median', 'min', 'name', 'ngroups', 'nth', 'ohlc', 'plot',
+         'mean', 'median', 'min', 'ngroups', 'nth', 'ohlc', 'plot',
          'prod', 'size', 'std', 'sum', 'transform', 'var', 'sem', 'count',
          'nunique', 'head', 'describe', 'cummax', 'quantile',
          'rank', 'cumprod', 'tail', 'resample', 'cummin', 'fillna',