Adding NumPy array to existing HDF5 file in PyTables?

Question

I have two sliced Numpy arrays stored in memory, say a and b, shape 1*480*640, how can I add them to an existing HDF5 file in PyTables? The existing HDF5 file has three arrays: n1,n2,n3, I want the new HDF5 file to have 5 arrays: n1,n2,n3,a,b . Thx!

What did you try? Did you try the function createArray?

Simon
– Simon

2012-05-08 04:36:42 +00:00
Commented May 8, 2012 at 4:36 — Simon
– Simon, Commented May 8, 2012 at 4:36
How did you get the other arrays into the HDF5 file?

dtlussier
– dtlussier

2012-05-08 17:07:06 +00:00
Commented May 8, 2012 at 17:07 — dtlussier
– dtlussier, Commented May 8, 2012 at 17:07

Ümit · Accepted Answer · 2012-05-09 08:59:50Z

2

You can use createArray on the file object to do that (or if you need compression use createCArray/createEArray):

File.createArray('/','a', numpyArray)

edited May 9, 2012 at 8:59

answered May 8, 2012 at 6:17

Ümit

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