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### import ####################################################################
import os
import numpy as np
import matplotlib.pyplot as plt
import WrightTools as wt
### define ####################################################################
directory = os.path.dirname(__file__)
google_drive_directory = wt.kit.get_path_matching('Google Drive')
### workspace #################################################################
# get data
p = os.path.join(google_drive_directory, 'MX2', 'CMDS', '2017-01-15', '2017-01-18', '2', '000 [wm=w1, d1]', '000.data')
d = wt.data.from_PyCMDS(p)
d.convert('eV')
# clean up axes
d.axes[0].name = 'w1'
d._update()
d.transpose()
d.flip('d1')
# turn into DT/T
d.divide(d, 'signal_diff', 'signal_mean')
d.signal_diff.znull = 0
d.signal_diff.signed = True
# trim
if True:
# higher factors are more permissive
d.trim('signal_diff', w1=6, d1=0, replace='nan', factor=3)
d.trim('signal_diff', w1=6, d1=0, replace='nan', factor=3)
# heal
if False:
d.heal('signal_diff')
# plot
a = wt.artists.mpl_2D(d)
a.plot(contours=0)
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