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DOC: minor io.rst updates / cookbook.rst
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doc/source/cookbook.rst

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@@ -334,6 +334,9 @@ The :ref:`CSV <io.read_csv_table>` docs
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`Reading a csv chunk-by-chunk
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<http://stackoverflow.com/questions/11622652/large-persistent-dataframe-in-pandas/12193309#12193309>`__
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`Reading only certain rows of a csv chunk-by-chunk
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<http://stackoverflow.com/questions/19674212/pandas-data-frame-select-rows-and-clear-memory>``__
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`Reading the first few lines of a frame
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<http://stackoverflow.com/questions/15008970/way-to-read-first-few-lines-for-pandas-dataframe>`__
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doc/source/io.rst

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@@ -2574,19 +2574,6 @@ a datetimeindex which are 5.
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where = c[DatetimeIndex(c).month==5].index
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store.select('df_mask',where=where)
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**Replicating or**
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``not`` and ``or`` conditions are unsupported at this time; however,
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``or`` operations are easy to replicate, by repeatedly applying the
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criteria to the table, and then ``concat`` the results.
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.. ipython:: python
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crit1 = [ Term('B>0'), Term('C>0'), Term('string=foo') ]
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crit2 = [ Term('B<0'), Term('C>0'), Term('string=foo') ]
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concat([store.select('df_dc',c) for c in [crit1, crit2]])
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**Storer Object**
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If you want to inspect the stored object, retrieve via

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