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A simple matplotlib script can be seen in this example. A corresponding version in psmon (which allows much more "interaction" with the plot) is here:

Code Block

more psmonLocal.py
from psana import *
ds = DataSource('exp=xpptut15:run=54:smd')
det = Detector('cspad',ds.env())
for nevent,evt in enumerate(ds.events()):
    #img includes pedestal subtraction, common-mode correction, bad-pixel
    # 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)= det.image(evt)
    break
from psmon.plots import Image
from psmon import publish
# to display the plot from within this script
publish.local = True
plotimg = Image(0,"CsPad",img)
publish.send('IMAGE',plotimg)

psmon is also able to send plots over the network, which is useful for real-time monitoring. To do this, do not set publish.local=True:

Code Block

from psana import *
from psmon.plots import Image
from psmon import publish
ds = DataSource('exp=xpptut15:run=54:smd')
det = Detector('cspad',ds.env())
for nevent,evt in enumerate(ds.events()):
    img = det.image(evt)
    break
from psmon.plots import Image
from psmon import publish
publish.local = True
plotimg = Image(0,"CsPad",img)
    publish.send('imageIMAGE',plotimg)
    raw_input('Hit <CR> for next event')
    if nevent>=2: break

This plot can then be viewed (by multiple people, if desired) using:

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Code Block
psplot IMAGE (on the "local" machine) psplot -s <hostname> (on a "remote" machine, where <hostname> is the name of the host where the above script is running)

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