make multiple plots in a plan

[tacaswell]

two quick sketches for how to make use of multiple LivePlots in one scan:

from functools import partial

from ophyd.sim import hw as _hw

from bluesky import RunEngine
from bluesky.plans import scan
from bluesky.callbacks.mpl_plotting import LivePlot
import bluesky.callbacks
import bluesky.preprocessors as bpp


hw = _hw()

bluesky.callbacks.mpl_plotting.initialize_qt_teleporter()

RE = RunEngine({})

def same_axes():
   def get_ax():
       import matplotlib.pyplot as plt
       return plt.figure('my plot').gca()

   lt =  LivePlot('det', 'motor', marker='x', markersize=10, ax=get_ax)
   lt2 =  LivePlot('det1', 'motor', marker='o', markersize=10, ax=get_ax)   
   return (yield from bpp.subs_wrapper(scan([hw.det, hw.det1], hw.motor, -5, 5, 30), [lt, lt2]))


def same_figure():
   def get_ax(i):
       import matplotlib.pyplot as plt
       fig = plt.figure('my plot')
       if len(fig.axes) == 0:
           fig.subplots(1, 2)
       return fig.axes[i]

   lt =  LivePlot('det', 'motor', marker='x', markersize=10, ax=partial(get_ax, i=0))
   lt2 =  LivePlot('det1', 'motor', marker='o', markersize=10, ax=partial(get_ax, i=1))   
   return (yield from bpp.subs_wrapper(scan([hw.det, hw.det1], hw.motor, -5, 5, 30), [lt, lt2]))


RE(same_figure())

In your actual use the hard coded lt and lt2 can be replaced with a loop over the y-values of interest.