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#!/usr/bin/python
"""
Test the speed of rapidly updating multiple plot curves
"""
import argparse
import itertools
import numpy as np
from utils import FrameCounter
import pyqtgraph as pg
from pyqtgraph.Qt import QtCore
parser = argparse.ArgumentParser()
parser.add_argument('--iterations', default=float('inf'), type=float,
help="Number of iterations to run before exiting"
)
args = parser.parse_args()
iterations_counter = itertools.count()
# pg.setConfigOptions(useOpenGL=True)
app = pg.mkQApp("MultiPlot Speed Test")
plot = pg.plot()
plot.setWindowTitle('pyqtgraph example: MultiPlotSpeedTest')
plot.setLabel('bottom', 'Index', units='B')
nPlots = 100
nSamples = 500
curves = []
for idx in range(nPlots):
curve = pg.PlotCurveItem(pen=({'color': (idx, nPlots*1.3), 'width': 1}), skipFiniteCheck=True)
plot.addItem(curve)
curve.setPos(0,idx*6)
curves.append(curve)
plot.setYRange(0, nPlots*6)
plot.setXRange(0, nSamples)
plot.resize(600,900)
rgn = pg.LinearRegionItem([nSamples/5.,nSamples/3.])
plot.addItem(rgn)
data = np.random.normal(size=(nPlots*23,nSamples))
ptr = 0
def update():
global ptr
if next(iterations_counter) > args.iterations:
timer.stop()
app.quit()
return None
for i in range(nPlots):
curves[i].setData(data[(ptr+i)%data.shape[0]])
ptr += nPlots
framecnt.update()
timer = QtCore.QTimer()
timer.timeout.connect(update)
timer.start(0)
framecnt = FrameCounter()
framecnt.sigFpsUpdate.connect(lambda fps: plot.setTitle(f'{fps:.1f} fps'))
if __name__ == '__main__':
pg.exec()
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