forked from M-Labs/thermostat
add more graphs in 2x2 grid
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2cfd162498
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@ -19,7 +19,6 @@ channel_data = [{
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'tec_i': np.zeros(rec_len),
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'tec_u_meas': np.zeros(rec_len),
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'interval': np.zeros(rec_len),
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'temp_set': np.zeros(rec_len),
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} for _ in range(2)]
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tec = Client()
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@ -31,22 +30,38 @@ mw.resize(800,800)
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cw = QtGui.QWidget()
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mw.setCentralWidget(cw)
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l = QtGui.QVBoxLayout()
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layout = pg.LayoutWidget()
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l.addWidget(layout)
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cw.setLayout(l)
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pg.setConfigOptions(antialias=True)
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pw0= pg.PlotWidget(name='Channel 0')
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l.addWidget(pw0)
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pw1 = pg.PlotWidget(name='Channel 1')
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l.addWidget(pw1)
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temp0plot= pg.PlotWidget(title='Channel 0 Temperature')
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layout.addWidget(temp0plot, 1, 1)
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temp1plot = pg.PlotWidget(title='Channel 1 Temperature')
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layout.addWidget(temp1plot, 2, 1)
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current0plot = pg.PlotWidget(title='Channel 0 Current')
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layout.addWidget(current0plot, 1, 2)
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current1plot = pg.PlotWidget(title='Channel 1 Current')
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layout.addWidget(current1plot, 2, 2)
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temp0curve = pg.PlotCurveItem(pen=({'color': 'r', 'width': 1}))
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temp1curve = pg.PlotCurveItem(pen=({'color': 'r', 'width': 1}))
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tecI0curve = pg.PlotCurveItem(pen=({'color': 'r', 'width': 1}))
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tecI1curve = pg.PlotCurveItem(pen=({'color': 'r', 'width': 1}))
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Iset0curve = pg.PlotCurveItem(pen=({'color': 'g', 'width': 1}))
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Iset1curve = pg.PlotCurveItem(pen=({'color': 'g', 'width': 1}))
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temp0plot.addItem(temp0curve)
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temp1plot.addItem(temp1curve)
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current0plot.addItem(tecI0curve)
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current0plot.addItem(Iset0curve)
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current1plot.addItem(tecI1curve)
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current1plot.addItem(Iset1curve)
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curve0 = pw0.plot()
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curve1 = pw1.plot()
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cnt = 0
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time_stamp = np.zeros(rec_len)
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def update(n):
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global cnt
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for data in tec.report_mode():
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ch = data[n]
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for tag, seq in channel_data[n].items():
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@ -69,10 +84,16 @@ def updateData():
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cnt += 1
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time_stamp[:-1] = time_stamp[1:]
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time_stamp[-1] = cnt * refresh_period / 1000
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pw0.setRange(xRange=[cnt * refresh_period / 1000 - 20.0, cnt * refresh_period / 1000])
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pw1.setRange(xRange=[cnt * refresh_period / 1000 - 20.0, cnt * refresh_period / 1000])
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curve0.setData(x = time_stamp, y = channel_data[0]['temperature'])
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curve1.setData(x = time_stamp, y = channel_data[1]['temperature'])
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temp0plot.setRange(xRange=[(cnt - rec_len) * refresh_period / 1000, cnt * refresh_period / 1000])
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temp1plot.setRange(xRange=[(cnt - rec_len) * refresh_period / 1000, cnt * refresh_period / 1000])
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current0plot.setRange(xRange=[(cnt - rec_len) * refresh_period / 1000, cnt * refresh_period / 1000])
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current1plot.setRange(xRange=[(cnt - rec_len) * refresh_period / 1000, cnt * refresh_period / 1000])
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temp0curve.setData(x = time_stamp, y = channel_data[0]['temperature'])
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temp1curve.setData(x = time_stamp, y = channel_data[1]['temperature'])
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tecI0curve.setData(x = time_stamp, y = channel_data[0]['tec_i'])
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tecI1curve.setData(x = time_stamp, y = channel_data[1]['tec_i'])
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Iset0curve.setData(x = time_stamp, y = channel_data[0]['i_set'])
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Iset1curve.setData(x = time_stamp, y = channel_data[1]['i_set'])
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## Start a timer to rapidly update the plot in pw
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