DOC: add frame tab completion example in 10min.rst

Author: cpcloud

doc/source/10min.rst

@@ -74,6 +74,43 @@ Having specific :ref:`dtypes <basics.dtypes>`
 
    df2.dtypes
 
+If you're using IPython, tab completion for column names (as well as public
+attributes) is automatically enabled. Here's a subset of the attributes that
+will be completed:
+
+.. ipython::
+
+   @verbatim
+   In [1]: df2.<TAB>
+
+   df2.A                  df2.boxplot
+   df2.abs                df2.C
+   df2.add                df2.clip
+   df2.add_prefix         df2.clip_lower
+   df2.add_suffix         df2.clip_upper
+   df2.align              df2.columns
+   df2.all                df2.combine
+   df2.any                df2.combineAdd
+   df2.append             df2.combine_first
+   df2.apply              df2.combineMult
+   df2.applymap           df2.compound
+   df2.as_blocks          df2.consolidate
+   df2.asfreq             df2.convert_objects
+   df2.as_matrix          df2.copy
+   df2.astype             df2.corr
+   df2.at                 df2.corrwith
+   df2.at_time            df2.count
+   df2.axes               df2.cov
+   df2.B                  df2.cummax
+   df2.between_time       df2.cummin
+   df2.bfill              df2.cumprod
+   df2.blocks             df2.cumsum
+   df2.bool               df2.D
+
+As you can see, the columns ``A``, ``B``, ``C``, and ``D`` are automatically
+tab completed. ``E`` is there as well; the rest of the attributes have been
+truncated for brevity.
+
 Viewing Data
 ------------
 

doc/source/groupby.rst

@@ -203,19 +203,30 @@ however pass ``sort=False`` for potential speedups:
    df = DataFrame({'height': height, 'weight': weight,
                            'gender': gender}, index=time)
 
-.. ipython::
+.. ipython:: python
 
-   In [7]: df
+   df
+   gb = df.groupby('gender')
 
-   In [8]: gb = df.groupby('gender')
+
+.. ipython::
 
    @verbatim
-   In [9]: gb.<TAB>
+   In [1]: gb.<TAB>
    gb.agg        gb.boxplot    gb.cummin     gb.describe   gb.filter     gb.get_group  gb.height     gb.last       gb.median     gb.ngroups    gb.plot       gb.rank       gb.std        gb.transform
    gb.aggregate  gb.count      gb.cumprod    gb.dtype      gb.first      gb.groups     gb.hist       gb.max        gb.min        gb.nth        gb.prod       gb.resample   gb.sum        gb.var
    gb.apply      gb.cummax     gb.cumsum     gb.fillna     gb.gender     gb.head       gb.indices    gb.mean       gb.name       gb.ohlc       gb.quantile   gb.size       gb.tail       gb.weight
 
 
+.. ipython:: python
+   :suppress:
+
+   df = DataFrame({'A' : ['foo', 'bar', 'foo', 'bar',
+                          'foo', 'bar', 'foo', 'foo'],
+                   'B' : ['one', 'one', 'two', 'three',
+                          'two', 'two', 'one', 'three'],
+                   'C' : randn(8), 'D' : randn(8)})
+
 .. _groupby.multiindex:
 
 GroupBy with MultiIndex

doc/source/release.rst

@@ -546,7 +546,7 @@ Bug Fixes
   - Bug in setting with ``ix/loc`` and a mixed int/string index (:issue:`4544`)
   - Make sure series-series boolean comparions are label based (:issue:`4947`)
   - Bug in multi-level indexing with a Timestamp partial indexer (:issue:`4294`)
-  - Tests/fix for multi-index construction of an all-nan frame (:isue:`4078`)
+  - Tests/fix for multi-index construction of an all-nan frame (:issue:`4078`)
   - Fixed a bug where :func:`~pandas.read_html` wasn't correctly inferring
     values of tables with commas (:issue:`5029`)
   - Fixed a bug where :func:`~pandas.read_html` wasn't providing a stable
@@ -560,6 +560,8 @@ Bug Fixes
   - Fixed a bug where ``groupby`` objects didn't allow plots (:issue:`5102`).
   - Fixed a bug where ``groupby`` objects weren't tab-completing column names
     (:issue:`5102`).
+  - Fixed a bug where ``groupby.plot()`` and friends were duplicating figures
+    multiple times (:issue:`5102`).
 
 
 pandas 0.12.0