Signed-off-by: Bernardo Carvalho <bernardo.carvalho@tecnico.ulisboa.pt>
140 lines
4.8 KiB
Python
Executable File
140 lines
4.8 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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To change EPICS EO, WO use. e.g.
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caput -a ISTTOK:central:ATCAIOP1-WO 14 0.191 0.174 -0.036 -0.044 0.183 0.126 0.020 0.140 -0.461 -0.572 0.022 -0.262 0.475 0.353
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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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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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MAG_OFFSET = 6 # channels stored in ISTTOK
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ADC_DECIM_RATE = 200
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parser = argparse.ArgumentParser(description=
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"""Script to plot AtcaIop MDSplus data and calc drifts
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To change EPICS EO, WO use. e.g.
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caput -a ISTTOK:central:ATCAIOP1-WO 14 0.191 0.174 -0.036 -0.044 0.183 0.126 0.020 0.140 -0.461 -0.572 0.022 -0.262 0.475 0.353""")
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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=1000)
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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('-d', '--decimated', action='store_true',
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help='Use decimated data')
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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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parser.add_argument('-f', '--file', type=str,
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help='filename device to open', default='LangmuirSdas')
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args = parser.parse_args()
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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('ISTTOK 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="SDAS Languir Probe data")
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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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dataSdas = np.load(args.file)
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x = dataSdas[:args.maxpoints, 0] / 1e3 # us -> ms
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# for i in range(1, 2):
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lineName = ['Time', 'Trigger',
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'ElectricTop', 'ElectricInner', 'ElectricOuter', 'ElectricBottom']
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for i in [2, 3, 4, 5]:
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y = dataSdas[:args.maxpoints, i]
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# p1.plot(y, pen=pg.mkPen(i, width=2), name=f"Ch {i}")
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p1.plot(y, pen=pg.mkPen(i, width=2), name=lineName[i])
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p1.showGrid(x=True, y=True, alpha=0.5)
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# p1.setLabel('bottom', "Time", units='ms')
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# p1.setLabel('bottom', "Samp", units='')
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win.nextRow()
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p2 = win.addPlot(title="MARTE2 output Langmuir data")
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dataOut = np.genfromtxt('../Startup/IsttokOutput.csv', delimiter=',')
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p2.addLegend()
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x = dataOut[:args.maxpoints, 0] / 1e3 # us -> ms
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#y = dataOut[:args.maxpoints, 1]
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# for i in range(1, 5):
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lineName = ['Time', 'OutLang0', 'OutLang1', 'OutLangR', 'OutLangZ']
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for i in [1, 2, 3, 4,]:
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y = dataOut[:args.maxpoints, i]
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p2.plot(y, pen=pg.mkPen(i, width=2), name=lineName[i])
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p2.showGrid(x=True, y=True, alpha=0.5)
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# p2.setLabel('bottom', "Time", units='ms')
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# print("WO: ", end='')
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# updatePlot()
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win.nextRow()
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p3 = win.addPlot(title="SDAS Mag Probe data")
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lineName = ['Time', 'Trigger',
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'ElectricTop', 'ElectricInner', 'ElectricOuter', 'ElectricBottom']
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for i in [0, 1, 2, 3]:
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y = dataSdas[:args.maxpoints, i + MAG_OFFSET]
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p3.plot(y, pen=pg.mkPen(i, width=2), name=lineName[i])
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p3.showGrid(x=True, y=True, alpha=0.5)
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win.nextRow()
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p4 = win.addPlot(title="MARTE2 output Magnetic data")
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# dataOut = np.genfromtxt('../Startup/IsttokOutput.csv', delimiter=',')
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p4.addLegend()
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x = dataOut[:args.maxpoints, 0] / 1e3 # us -> ms
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lineName = ['Time', 'OutLang0', 'OutLang1', 'OutLangR', 'OutLangZ',
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'MagOutR', 'MagOutZ']
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for i in [5]:
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y = dataOut[:args.maxpoints, i]
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p4.plot(y, pen=pg.mkPen(i, width=2), name=lineName[i])
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p4.showGrid(x=True, y=True, alpha=0.5)
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p4.setLabel('bottom', "Sample") # , units='ms')
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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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