Page History
...
Both of these work with arrays of maximum 2 dimensions. And only one array per file.
saving to .mat file (MatLab)
| 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 } )
|
saving to HDF5 file
| Code Block | ||||
|---|---|---|---|---|
| ||||
import h5py
ofile = h5py.File(self.outputfile,'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()
|
Interactive analysis with IPython
...
Overview
Content Tools