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In psana-python we support two three types of visualization: the standard python matplotlib, and a more interactive form of plotting that can also be used for real-time monitoring called "psmon" (see https://github.com/lcls-psana/psmon) and the graphical analysis tool "psocake" which is described here.

A simple matplotlib script can be seen in this example.  A corresponding version in psmon (which allows much more "interaction" with the plot) is in is in /reg/g/psdm/tutorials/examplePythonexamplePython3/psmonLocal.py:

from psana import *
ds = DataSource('exp=xpptut15:run=54:smd')
det = Detector('cspad')
for nevent,evt in enumerate(ds.events()):
    img = det.image(evt)
    y = img.sum(axis=0)
    break
from psmon.plots import Image,XYPlot
from psmon import publish
publish.local = True
publish.plot_opts.aspect = 1 # needed to displayget theimages plotwith fromcorrect within1:1 thisaspect script
publish.local = True
ratio
plotimg = Image(0,"CsPad",img)
publish.send('IMAGE',plotimg)
plotxy = XYPlot(0,"Y vs. X",range(len(y)),y)
publish.send('XY',plotxy)

The above example demonstrates the two most popular styles of plots:  Image (with x,y,z coordinates) and XYPlot (with x,y coordinates).

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 (see script in /reg/g/psdm/tutorials/examplePythonexamplePython3/psmonRemote.py):

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

...

There are more sophisticated psmon examples demonstrating features like XYPlots, Multiplots etc. in /reg/g/psdm/sw/releases/ana-current/psmon/examples/Multiplots (multiple plots that are updated at the same time), plot overlays etc. here: https://github.com/lcls-psana/psmon/tree/master/examples.  The "formats" keyword to an XYPlot can be used to select plot markers (square, circle, etc.) following the matplotlib pattern here.