DOC: cookbook entries

Author: jreback

doc/source/cookbook.rst

@@ -279,6 +279,9 @@ The :ref:`Plotting <visualization>` docs.
 `Annotate a time-series plot
 <http://stackoverflow.com/questions/11067368/annotate-time-series-plot-in-matplotlib>`__
 
+`Annotate a time-series plot #2
+<http://stackoverflow.com/questions/17891493/annotating-points-from-a-pandas-dataframe-in-matplotlib-plot`__
+
 Data In/Out
 -----------
 
@@ -366,6 +369,9 @@ csv file and creating a store by chunks, with date parsing as well.
 `See here
 <http://stackoverflow.com/questions/16110252/need-to-compare-very-large-files-around-1-5gb-in-python/16110391#16110391>`__
 
+`Appending to a store, while creating a unique index
+<http://stackoverflow.com/questions/16997048/how-does-one-append-large-amounts-of-data-to-a-pandas-hdfstore-and-get-a-natural/16999397#16999397>`__
+
 `Large Data work flows
 <http://stackoverflow.com/questions/14262433/large-data-work-flows-using-pandas>`__
 
@@ -381,6 +387,9 @@ csv file and creating a store by chunks, with date parsing as well.
 `Setting min_itemsize with strings
 <http://stackoverflow.com/questions/15988871/hdfstore-appendstring-dataframe-fails-when-string-column-contents-are-longer>`__
 
+`Using ptrepack to create a completely-sorted-index on a store
+<http://stackoverflow.com/questions/17893370/ptrepack-sortby-needs-full-index>`__
+
 Storing Attributes to a group node
 
 .. ipython:: python

doc/source/io.rst

@@ -1936,6 +1936,7 @@ specify. This behavior can be turned off by passing ``index=False`` to
    i = store.root.df.table.cols.index.index
    i.optlevel, i.kind
 
+See `here <http://stackoverflow.com/questions/17893370/ptrepack-sortby-needs-full-index>`__ for how to create a completely-sorted-index (CSI) on an existing store.
 
 Query via Data Columns
 ~~~~~~~~~~~~~~~~~~~~~~
@@ -2182,8 +2183,7 @@ Notes & Caveats
      processes). If you need reading and writing *at the same time*, you
      need to serialize these operations in a single thread in a single
      process. You will corrupt your data otherwise. See the issue
-     <https://github.com/pydata/pandas/issues/2397> for more
-     information.
+     (:`2397`) for more information.
    - ``PyTables`` only supports fixed-width string columns in
      ``tables``. The sizes of a string based indexing column
      (e.g. *columns* or *minor_axis*) are determined as the maximum size
@@ -2333,7 +2333,7 @@ Performance
    - A ``PerformanceWarning`` will be raised if you are attempting to
      store types that will be pickled by PyTables (rather than stored as
      endemic types). See
-     <http://stackoverflow.com/questions/14355151/how-to-make-pandas-hdfstore-put-operation-faster/14370190#14370190>
+     `Here <http://stackoverflow.com/questions/14355151/how-to-make-pandas-hdfstore-put-operation-faster/14370190#14370190>`__
      for more information and some solutions.
 
 Experimental