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from psana import psana*
ds = psana.DataSource('exp=xpptut15:run=54:smd')
det = psana.Detector('cspad',ds.env())
for nevent,evt in enumerate(ds.events()):
    # includes pedestal subtraction, common-mode correction, bad-pixel
    # bad-pixel suppression, and geometry suppresion, and returns an "unassembled" 3D array of cspad panels
    calib_array = det.calib(evt)
    # this is the same as the above, but also uses geometry to
    # create an "assembled" 2D image (including "fake pixels" in gaps)
    img = det.image(evt)
    break
import matplotlib.pyplot as plt
plt.imshow(img,vmin=-2,vmax=2)
plt.show()