""" This example demonstrates many of the 2D plotting capabilities in pyqtgraph. All of the plots may be panned/scaled by dragging with the left/right mouse buttons. Right click on any plot to show a context menu. """ #import sys import numpy as np import pyqtgraph as pg from pyqtgraph.Qt import QtCore from MDSplus import Tree import argparse app = pg.mkQApp("Plotting MARTe2 Data") #mw = QtWidgets.QMainWindow() #mw.resize(800,800) MAX_SAMPLES = 50000 ADC_CHANNELS = 4 DECIM_RATE = 200 parser = argparse.ArgumentParser(description = 'Script to support the QA activities') #parser.add_argument('-l','--list', nargs='+', help=' Set flag', required=True) #parser.add_argument('-l','--list', nargs='+') parser.add_argument('-c', '--crange', nargs='+',type=int, help='Channel lines (0 4 )',default=[0, 4]) parser.add_argument('-i', '--irange', nargs='+',type=int,default=[0, 4]) #parser.add_argument('pulse','-', nargs='+', help=' Set flag', required=True) parser.add_argument('-s', '--shot', type=int, help='Mds+ pulse Number ([0, ...])', default=100) parser.add_argument('-m', '--maxsamples', type=int, help='Max samples to plot', default=50000) parser.add_argument('-z', '--zero', action='store_true',help='Zero integral Lines') #, default='') args = parser.parse_args() mdsPulseNumber = args.shot #if len(sys.argv) > 1: # mdsPulseNumber = int(sys.argv[1]) #else: # mdsPulseNumber = 1 # #treename = '' mdsTreeName = 'rtappisttok' try: tree = Tree(mdsTreeName, mdsPulseNumber) except: print(f'Failed opening {mdsTreeName} for pulse number {mdsPulseNumber:d}') exit() #time = dataCsv['#Time (uint32)[1]'] #timeRel = time - time[0] #x = DECIM_RATE * np.arange(len(vals)) win = pg.GraphicsLayoutWidget(show=True, title="Basic plotting examples") win.resize(1000,600) win.setWindowTitle('pyqtgraph example: Plotting') # Enable antialiasing for prettier plots pg.setConfigOptions(antialias=True) p1 = win.addPlot(title="ATCA ADC raw decim") # add plt.addLegend() BEFORE you create the curves. mdsNode = tree.getNode("ATCAIOP1.ADC0RAW") dataAdc = mdsNode.getData().data() timeData = mdsNode.getDimensionAt(0).data() p1.addLegend() for i in range(args.crange[0], args.crange[1]): mdsNode = tree.getNode(f"ATCAIOP1.ADC{i}RAW") dataAdc = mdsNode.getData().data() timeData = mdsNode.getDimensionAt(0).data() #y = dataAdc[ :args.maxsamples, 0] y = dataAdc[ :MAX_SAMPLES, 0] x = DECIM_RATE * np.arange(len(y)) / 2.0e6 p1.plot(x,y, pen=pg.mkPen(i, width=2), name=f"Ch {i}") #p1.setLabel('bottom', "Y Axis", units='s') win.nextRow() p4 = win.addPlot(title="ATCA Integral Channels") p4.addLegend() #for i in range(8,12): for i in range(args.irange[0], args.irange[1]): mdsNode = tree.getNode(f"ATCAIOP1.ADC{i}INT") dataAdcInt = mdsNode.getData().data() timeData = mdsNode.getDimensionAt(0).data() y = dataAdcInt[ :args.maxsamples, 0] if(args.zero): y = y - dataAdcInt[0, 0] #x = DECIM_RATE * np.arange(len(y)) x = DECIM_RATE * np.arange(len(y)) / 2.0e6 p4.plot(x,y, pen=pg.mkPen(i, width=2), name=f"Ch {i}") p4.setLabel('bottom', "Time", units='s') #updatePlot() if __name__ == '__main__': pg.exec() # vim: syntax=python ts=4 sw=4 sts=4 sr et