pydata/pandas — pull request #5050 by jreback (2013-09-30 02:01:15+00:00)
Title: API: provide __dir__ method (and local context) for tab completion / remove ipython completers code 

closes #4501

this removes the ipython completers code and instead defines ``__dir__``,
with a ``_local_dir`` that a class can override

NDFrame objects will have a pre-defined local of the info_axis (e.g. columns in a DataFrame)

for example:

```
In [1]: df = DataFrame(columns=list('ABC'))

In [2]: df.
Display all 199 possibilities? (y or n)
df.A df.at_time df.corrwith df.eq df.groupby df.itertuples df.min df.reindex df.shape df.to_dict df.tshift
df.B df.axes df.count df.eval df.gt df.ix df.mod df.reindex_axis df.shift df.to_excel df.tz_convert
df.C df.between_time df.cov df.ffill df.head df.join df.mul df.reindex_like df.skew df.to_hdf df.tz_localize
df.T df.bfill df.cummax df.fillna df.hist df.keys df.multiply df.rename df.sort df.to_html df.unstack
df.abs df.blocks df.cummin df.filter df.iat df.kurt df.ndim df.rename_axis df.sort_index df.to_json df.update
df.add df.boxplot df.cumprod df.first df.icol df.kurtosis df.ne df.reorder_levels df.sortlevel df.to_latex df.values
df.add_prefix df.clip df.cumsum df.first_valid_index df.idxmax df.last df.pct_change df.replace df.squeeze df.to_panel df.var
df.add_suffix df.clip_lower df.delevel df.floordiv df.idxmin df.last_valid_index df.pivot df.resample df.stack df.to_period df.where
df.align df.clip_upper df.describe df.from_csv df.iget_value df.le df.pivot_table df.reset_index df.std df.to_pickle df.xs
df.all df.columns df.diff df.from_dict df.iloc df.load df.plot df.rfloordiv df.sub df.to_records
df.any df.combine df.div df.from_items df.index df.loc df.pop df.rmod df.subtract df.to_sparse
df.append df.combineAdd df.divide df.from_records df.info df.lookup df.pow df.rmul df.sum df.to_sql
df.apply df.combineMult df.dot df.ftypes df.insert df.lt df.prod df.rpow df.swapaxes df.to_stata
df.applymap df.combine_first df.drop df.ge df.interpolate df.mad df.product df.rsub df.swaplevel df.to_string
df.as_blocks df.compound df.drop_duplicates df.get df.irow df.mask df.quantile df.rtruediv df.tail df.to_timestamp
df.as_matrix df.consolidate df.dropna df.get_dtype_counts df.isin df.max df.query df.save df.take df.to_wide
df.asfreq df.convert_objects df.dtypes df.get_ftype_counts df.iteritems df.mean df.radd df.select df.to_clipboard df.transpose
df.astype df.copy df.duplicated df.get_value df.iterkv df.median df.rank df.set_index df.to_csv df.truediv
df.at df.corr df.empty df.get_values df.iterrows df.merge df.rdiv df.set_value df.to_dense df.truncate

```