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Both of these work with arrays of maximum 2 dimensions. And only one array per file.

saving to

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MatLab file

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Code Block
import scipy.io N_array = np.arange(0,100) x_array = np.random(100) y_array = np.random(100) scipy.io.savemat( "output_file_name.mat", mdict={'N': N_array, 'x' : x_array, 'y' : y_array } )

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Code Block
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import h5py ofile = h5py.File(self.outputfile"output_file_name.h5",'w') group = ofile.create_group("MyGroup") group.create_dataset('delaytime',data=np.array(self.h_delaytime)) group.create_dataset('rawsignal',data=np.array(self.h_ipm_rsig)) group.create_dataset('normsignal',data=np.array(self.h_ipm_nsig)) ofile.close()

For more examples, see How to access HDF5 data from Python

Interactive analysis with IPython

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