@@ -4425,34 +4425,6 @@ Performance
44254425 `Here <http://stackoverflow.com/questions/14355151/how-to-make-pandas-hdfstore-put-operation-faster/14370190#14370190 >`__
44264426 for more information and some solutions.
44274427
4428- Experimental
4429- ''''''''''''
4430-
4431- HDFStore supports ``Panel4D `` storage.
4432-
4433- .. ipython :: python
4434- :okwarning:
4435-
4436- wp = pd.Panel(randn(2 , 5 , 4 ), items = [' Item1' , ' Item2' ],
4437- major_axis = pd.date_range(' 1/1/2000' , periods = 5 ),
4438- minor_axis = [' A' , ' B' , ' C' , ' D' ])
4439- p4d = pd.Panel4D({ ' l1' : wp })
4440- p4d
4441- store.append(' p4d' , p4d)
4442- store
4443-
4444- These, by default, index the three axes ``items, major_axis,
4445- minor_axis ``. On an ``AppendableTable `` it is possible to setup with the
4446- first append a different indexing scheme, depending on how you want to
4447- store your data. Pass the ``axes `` keyword with a list of dimensions
4448- (currently must by exactly 1 less than the total dimensions of the
4449- object). This cannot be changed after table creation.
4450-
4451- .. ipython :: python
4452- :okwarning:
4453-
4454- store.append(' p4d2' , p4d, axes = [' labels' , ' major_axis' , ' minor_axis' ])
4455- store.select(' p4d2' , where = ' labels=l1 and items=Item1 and minor_axis=A' )
44564428
44574429.. ipython :: python
44584430 :suppress:
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