Hi All,
I have a bunch of hdf5 files I am using to create one hdf5 file.
Each individual file has many different pieces of data, and they are all the
same shape in each file.
I am using createEArray to make the large array in the final file.
if the data files in the individual h5 files are of shape (256,1,2), then I
have to use
createEArray('/path/','name',tables.floatAtom64(),(0,256,1,2),expectedrows=len(data_files))
if the np array I have grabbed from an individual file to append to my EArray
is defined as data, is there a way to use data.shape to create the shape of my
EArray?
In spirit, I want to do something like (0,data.shape) but this does not work.
I have been scouring the numpy manual to see how to convert
data.shape
(256,1,2)
to (0,256,1,2)
but failed to figure this out (if I don't know ahead of time the shape of data
- in which case I can manually reshape).
Thanks,
Andre
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