Closed ebenp closed 1 year ago
Currently the plugin uses the max timestep versus the last timestep.
# get max along the 2nd axis (time) data_wecs_max = np.amax(data_wecs, axis = 1, keepdims = True) # get last axis value # data_wecs_max = data_wecs[:,[-1],:,:]
We should decide which one to use.
Currently the plugin uses the max timestep versus the last timestep.
We should decide which one to use.