Signed-off-by: Bernardo Carvalho <bernardo.carvalho@tecnico.ulisboa.pt>
140 lines
4.7 KiB
Python
Executable File
140 lines
4.7 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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This script plots the MARTe2 ATCAIop samples stored in MDSplus
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All of the plots may be panned/scaled by dragging with
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the left/right mouse buttons. Right click on any plot to show a context menu.
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"""
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import numpy as np
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import pyqtgraph as pg
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# from pyqtgraph.Qt import QtCore
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from MDSplus import Tree
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import argparse
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app = pg.mkQApp("Plotting MARTe2 AtcaIop Data")
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# mw = QtWidgets.QMainWindow()
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# mw.resize(800,800)
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# MAX_SAMPLES = 50000
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ADC_CHANNELS = 14 # channels stored in ISTTOK
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DECIM_RATE = 200
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parser = argparse.ArgumentParser(
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description='Script to support the QA activities')
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# parser.add_argument('-l','--list', nargs='+',
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# help='<Required> Set flag', required=True)
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# parser.add_argument('-l','--list', nargs='+')
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parser.add_argument('-c', '--crange', nargs='+', type=int,
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help='Channel plots (1 12)', default=[1, 12])
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parser.add_argument('-i', '--irange', nargs='+', type=int, default=[1, 12])
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# arser.add_argument('pulse','-', nargs='+', help='<Required> Set flag', required=True)
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parser.add_argument('-s', '--shot', type=int,
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help='Mds+ pulse Number ([1, ...])', default=100)
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parser.add_argument('-m', '--maxpoints', type=int,
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help='Max points to plot', default=50000)
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parser.add_argument('-e', '--averages', action='store_true',
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help='Calc averages')
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# parser.add_argument('-w', '--drift', action='store_true', help='Calc drifts')
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parser.add_argument('-z', '--zero', action='store_true',
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help='Zero integral Lines')
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args = parser.parse_args()
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mdsPulseNumber = args.shot
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mdsTreeName = 'rtappisttok'
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try:
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tree = Tree(mdsTreeName, mdsPulseNumber)
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except Exception:
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print(f'Failed opening {mdsTreeName} for pulse number {mdsPulseNumber:d}')
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exit()
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win = pg.GraphicsLayoutWidget(show=True, title="Basic plotting examples")
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win.resize(1000, 600)
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win.setWindowTitle('pyqtgraph example: Plotting')
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# Enable antialiasing for prettier plots
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pg.setConfigOptions(antialias=True)
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p1 = win.addPlot(title="ATCA-IOP ADC raw decimated")
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# add plt.addLegend() BEFORE you create the curves.
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# mdsNode = tree.getNode("ATCAIOP1.ADC0RAW")
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# dataAdc = mdsNode.getData().data()
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# timeData = mdsNode.getDimensionAt(0).data()
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p1.addLegend()
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start = args.crange[0] - 1
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stop = args.crange[1]
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# for i in range(args.crange[0], args.crange[1]):
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meanD = np.zeros(ADC_CHANNELS, dtype=int)
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driftW = np.zeros(ADC_CHANNELS)
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total_samples = 0
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for i in range(ADC_CHANNELS):
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mdsNode = tree.getNode(f"ATCAIOP1.ADC{i}RAW")
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dataAdc = mdsNode.getData().data()
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meanD[i] = np.mean(dataAdc[:, 0]).astype(int)
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mdsNode = tree.getNode(f"ATCAIOP1.ADC{i}INT")
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dataAdcInt = mdsNode.getData().data()
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total_samples = DECIM_RATE * len(dataAdcInt[:, 0])
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driftW[i] = (dataAdcInt[-1, 0] - dataAdcInt[0, 0]) / total_samples
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if (args.averages):
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print(f"EO: {ADC_CHANNELS} ", end='')
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for i in range(ADC_CHANNELS):
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print(f"{meanD[i]:d} ", end='')
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print(" ")
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print(f"WO: {ADC_CHANNELS} ", end='')
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for i in range(ADC_CHANNELS):
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print(f"{driftW[i]:0.3f} ", end='')
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print(" ")
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print(f"Samples {total_samples}, time {total_samples/2e3:.3f} ms")
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for i in range(start, stop):
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mdsNode = tree.getNode(f"ATCAIOP1.ADC{i}RAW")
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dataAdc = mdsNode.getData().data()
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timeData = mdsNode.getDimensionAt(0).data()
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y = dataAdc[:args.maxpoints, 0]
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x = DECIM_RATE * np.arange(len(y)) / 2.0e6
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p1.plot(x, y, pen=pg.mkPen(i, width=2), name=f"Ch {i+1}")
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# p1.setLabel('bottom', "Y Axis", units='s')
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win.nextRow()
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p4 = win.addPlot(title="Channel Integrals")
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p4.addLegend()
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# for i in range(8,12):
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start = args.irange[0] - 1
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stop = args.irange[1]
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# print("WO: ", end='')
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for i in range(start, stop):
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# mdsNode = tree.getNode(f"ATCAIOP1.ADC8INT")
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mdsNode = tree.getNode(f"ATCAIOP1.ADC{i}INTD")
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try:
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dataAdcInt = mdsNode.getData().data()
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timeData = mdsNode.getDimensionAt(0).data()
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total_samples = DECIM_RATE * len(dataAdcInt[:, 0])
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y = dataAdcInt[:args.maxpoints, 0] / 2.0e6 # LSB * sec
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if (args.zero):
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y = y - dataAdcInt[0, 0] / 2.0e6 # LSB * sec
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# wo = (dataAdcInt[-1, 0] - dataAdcInt[0, 0]) /total_samples
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# print(f"{wo:0.4f} ", end='')
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x = DECIM_RATE * np.arange(len(y)) / 2.0e6 # in sec
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p4.plot(x, y, pen=pg.mkPen(i, width=2), name=f"Ch {i+1}")
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except Exception:
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print(f"No data ATCAIOP1.ADC{i:d}INTD")
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print(" ")
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p4.setLabel('bottom', "Time", units='s')
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# updatePlot()
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if __name__ == '__main__':
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# import sys
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# if sys.flags.interactive != 1 or not hasattr(QtCore, 'PYQT_VERSION'):
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# pg.QtGui.QApplication.exec_()
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# iprint("xwc")
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pg.exec()
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# vim: syntax=python ts=4 sw=4 sts=4 sr et
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