@@ -4474,34 +4474,6 @@ Performance
44744474 `Here <http://stackoverflow.com/questions/14355151/how-to-make-pandas-hdfstore-put-operation-faster/14370190#14370190 >`__
44754475 for more information and some solutions.
44764476
4477- Experimental
4478- ''''''''''''
4479-
4480- HDFStore supports ``Panel4D `` storage.
4481-
4482- .. ipython :: python
4483- :okwarning:
4484-
4485- wp = pd.Panel(randn(2 , 5 , 4 ), items = [' Item1' , ' Item2' ],
4486- major_axis = pd.date_range(' 1/1/2000' , periods = 5 ),
4487- minor_axis = [' A' , ' B' , ' C' , ' D' ])
4488- p4d = pd.Panel4D({ ' l1' : wp })
4489- p4d
4490- store.append(' p4d' , p4d)
4491- store
4492-
4493- These, by default, index the three axes ``items, major_axis,
4494- minor_axis ``. On an ``AppendableTable `` it is possible to setup with the
4495- first append a different indexing scheme, depending on how you want to
4496- store your data. Pass the ``axes `` keyword with a list of dimensions
4497- (currently must by exactly 1 less than the total dimensions of the
4498- object). This cannot be changed after table creation.
4499-
4500- .. ipython :: python
4501- :okwarning:
4502-
4503- store.append(' p4d2' , p4d, axes = [' labels' , ' major_axis' , ' minor_axis' ])
4504- store.select(' p4d2' , where = ' labels=l1 and items=Item1 and minor_axis=A' )
45054477
45064478.. ipython :: python
45074479 :suppress:
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