thank you for the response, I reached that code by googling hdf python read array
On Fri, Dec 6, 2013 at 2:18 PM, Andrew Collette <[email protected]> wrote: > Hi Marcio, > >> Sorry for the basic question, but I want to read a 32-bit >> floating-point, 1000X2048X2048 dataset in python. I want to specify >> the dimensions just like the hdfview utility does when we use "open >> as". >> >> How I do that in python? I tried the following code, but it results in >> a segmentation fault: > > It's actually much simpler than the code you posted; for example, to > open the file and access the dataset (both Py2 and Py3): > > f = h5py.File("tomo.h5") > dset = f["images"] > > To read a subset of the data, use the normal Python-style slicing access: > > one_data_point = dset[0, 0, 0] # Load a single element from our 3D dataset > example_slice = dset[0, 0:10, 0:20] # 200-element slice > > Writing uses the same syntax: > > dset[0,0,0] = 42 # Update one element > > You can find additional documentation and examples at h5py.org. > > If you don't mind my asking, how did you come up with the code you > posted? It uses h5py's C-style low-level interface, which is > perfectly fine but (as you saw) challenging for newcomers. > > Andrew > > _______________________________________________ > Hdf-forum is for HDF software users discussion. > [email protected] > http://mail.lists.hdfgroup.org/mailman/listinfo/hdf-forum_lists.hdfgroup.org _______________________________________________ Hdf-forum is for HDF software users discussion. [email protected] http://mail.lists.hdfgroup.org/mailman/listinfo/hdf-forum_lists.hdfgroup.org
