ENH/BUG: refactor of non-table HDFStore to put in object form (Storer class), for future enhancements

         added shape to non-table display
         closes GH2637

Author: jreback

RELEASE.rst

@@ -51,6 +51,7 @@ pandas 0.10.1
     - added support for datetime64 in columns
     - added method ``unique`` to select the unique values in an indexable or data column
     - added method ``copy`` to copy an existing store (and possibly upgrade)
+    - show the shape of the data on disk for non-table stores when printing the store
   - Add ``logx`` option to DataFrame/Series.plot (GH2327_, #2565)
   - Support reading gzipped data from file-like object
   - ``pivot_table`` aggfunc can be anything used in GroupBy.aggregate (GH2643_)
@@ -64,6 +65,7 @@ pandas 0.10.1
     - raise correctly on non-implemented column types (unicode/date)
     - handle correctly ``Term`` passed types (e.g. ``index<1000``, when index
       is ``Int64``), (closes GH512_)
+    - handle Timestamp correctly in data_columns (closes GH2637_)
   - Fix DataFrame.info bug with UTF8-encoded columns. (GH2576_)
   - Fix DatetimeIndex handling of FixedOffset tz (GH2604_)
   - More robust detection of being in IPython session for wide DataFrame
@@ -79,18 +81,20 @@ pandas 0.10.1
 
   - ``HDFStore``
 
+    - refactored HFDStore to deal with non-table stores as objects, will allow future enhancements
     - removed keyword ``compression`` from ``put`` (replaced by keyword
       ``complib`` to be consistent across library)
 
 .. _GH512: https://github.com/pydata/pandas/issues/512
 .. _GH1277: https://github.com/pydata/pandas/issues/1277
 .. _GH2327: https://github.com/pydata/pandas/issues/2327
-.. _GH2576: https://github.com/pydata/pandas/issues/2576
 .. _GH2585: https://github.com/pydata/pandas/issues/2585
 .. _GH2604: https://github.com/pydata/pandas/issues/2604
+.. _GH2576: https://github.com/pydata/pandas/issues/2576
 .. _GH2616: https://github.com/pydata/pandas/issues/2616
 .. _GH2625: https://github.com/pydata/pandas/issues/2625
 .. _GH2643: https://github.com/pydata/pandas/issues/2643
+.. _GH2637: https://github.com/pydata/pandas/issues/2637
 
 pandas 0.10.0
 =============

doc/source/io.rst

@@ -1263,11 +1263,11 @@ To retrieve the *unique* values of an indexable or data column, use the method `
 
 **Table Object**
 
-If you want to inspect the table object, retrieve via ``get_table``. You could use this progamatically to say get the number of rows in the table.
+If you want to inspect the stored object, retrieve via ``get_storer``. You could use this progamatically to say get the number of rows in an object.
 
 .. ipython:: python
 
-   store.get_table('df_dc').nrows
+   store.get_storer('df_dc').nrows
 
 Multiple Table Queries
 ~~~~~~~~~~~~~~~~~~~~~~