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Is there a way to read a JEZ-format waveform file in Python and retrieve the time-value series of the selected signal’s waveform?
Yes, you can read the JEZ waveform file into Python using the XMULAN library included in the XMODEL package. For instance, the following Python code example reads a JEZ-format waveform file and retrieves the time-value array information of a selected signal:
#!/usr/bin/env xmodelpy from xmulan import rowml import numpy as np r = rowml().readmeas('xmodel.jez') # read a JEZ-format waveform file named 'xmodel.jez' w = r['my_signal'].get_waveform() # retrieve the waveform object for signal named 'my_signal'
Here, the variable 'w'
contains the waveform object for the signal named 'my_signal'
. While the JEZ format stores the waveforms in the form of functional expressions, the get_waveform()
function in the above example converts that information into an array of time-value pairs, which can be more convenient to process using other programs.
The following codes show how to retrieve the time and value of the points consisting the waveform:
time_pts = w.sweep[0] data_pts = np.asarray(w)
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