def _demo_ModelChooser():
import sys
import numpy
import pyqtgraph as pg
from taurus.qt.qtgui.tpg import TaurusModelChooserTool
from taurus.qt.qtgui.application import TaurusApplication
from taurus.qt.qtgui.tpg import TaurusPlotDataItem
app = TaurusApplication()
# a standard pyqtgraph plot_item
w = pg.PlotWidget()
# add legend to the plot, for that we have to give a name to plot items
w.addLegend()
# adding a regular data item (non-taurus)
c1 = pg.PlotDataItem(name="st plot", pen="b", fillLevel=0, brush="c")
c1.setData(numpy.arange(300) / 300.0)
w.addItem(c1)
# adding a taurus data item
c2 = TaurusPlotDataItem(name="st2 plot", pen="r", symbol="o")
c2.setModel("eval:rand(222)")
w.addItem(c2)
# attach to plot item
tool = TaurusModelChooserTool(itemClass=TaurusPlotDataItem)
tool.attachToPlotItem(w.getPlotItem())
w.show()
tool.trigger()
sys.exit(app.exec_())
# c2.loadConfigFile('tmp/conf.cfg')
c2.setModel('eval:Quantity(rand(256),"m")')
# c2.setModel('sys/tg_test/1/wave')
# c2.setModel(None)
# c2.setXModel(None)
# c2.setXModel('eval:Quantity(rand(256),"m")')
w.addItem(c2)
# ...and remove it after a while
def rem():
w.removeItem(c2)
Qt.QTimer.singleShot(2000, rem)
modelchooser = TaurusModelChooserTool(itemClass=TaurusPlotDataItem)
modelchooser.attachToPlotItem(w.getPlotItem())
w.show()
res = app.exec_()
# config = c2.createConfig()
# print config
# c2.saveConfigFile('tmp/conf.cfg')
sys.exit(res)