a472f8c5de
* Remove all usage of python2_3.py Technically these functions were exported at the top level of the library, this removes them without warning... If we want to we can bring them back for there, but I honestly don't think its needed, as we are py3 only now and have been for multiple releases. This may introduce a number of 'useless cast' or similar but those were always happening anyway This PR brought to you by sed * Update varname in hdf example to avoid collision with builtin * Clean up some leftover comments surrounding imports of compat code * Unnecessary string casts * Additional unnecessary casts * syntax error fix * more unnecessary casts * Yet more unnecessary casts
88 lines
2.5 KiB
Python
88 lines
2.5 KiB
Python
# -*- coding: utf-8 -*-
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"""
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Demonstrates some customized mouse interaction by drawing a crosshair that follows
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the mouse.
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"""
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import initExample ## Add path to library (just for examples; you do not need this)
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import numpy as np
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import pyqtgraph as pg
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from pyqtgraph.Qt import QtGui, QtCore
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from pyqtgraph.Point import Point
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#generate layout
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app = pg.mkQApp("Crosshair Example")
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win = pg.GraphicsLayoutWidget(show=True)
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win.setWindowTitle('pyqtgraph example: crosshair')
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label = pg.LabelItem(justify='right')
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win.addItem(label)
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p1 = win.addPlot(row=1, col=0)
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p2 = win.addPlot(row=2, col=0)
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region = pg.LinearRegionItem()
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region.setZValue(10)
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# Add the LinearRegionItem to the ViewBox, but tell the ViewBox to exclude this
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# item when doing auto-range calculations.
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p2.addItem(region, ignoreBounds=True)
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#pg.dbg()
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p1.setAutoVisible(y=True)
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#create numpy arrays
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#make the numbers large to show that the range shows data from 10000 to all the way 0
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data1 = 10000 + 15000 * pg.gaussianFilter(np.random.random(size=10000), 10) + 3000 * np.random.random(size=10000)
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data2 = 15000 + 15000 * pg.gaussianFilter(np.random.random(size=10000), 10) + 3000 * np.random.random(size=10000)
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p1.plot(data1, pen="r")
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p1.plot(data2, pen="g")
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p2d = p2.plot(data1, pen="w")
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# bound the LinearRegionItem to the plotted data
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region.setClipItem(p2d)
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def update():
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region.setZValue(10)
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minX, maxX = region.getRegion()
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p1.setXRange(minX, maxX, padding=0)
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region.sigRegionChanged.connect(update)
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def updateRegion(window, viewRange):
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rgn = viewRange[0]
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region.setRegion(rgn)
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p1.sigRangeChanged.connect(updateRegion)
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region.setRegion([1000, 2000])
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#cross hair
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vLine = pg.InfiniteLine(angle=90, movable=False)
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hLine = pg.InfiniteLine(angle=0, movable=False)
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p1.addItem(vLine, ignoreBounds=True)
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p1.addItem(hLine, ignoreBounds=True)
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vb = p1.vb
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def mouseMoved(evt):
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pos = evt[0] ## using signal proxy turns original arguments into a tuple
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if p1.sceneBoundingRect().contains(pos):
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mousePoint = vb.mapSceneToView(pos)
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index = int(mousePoint.x())
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if index > 0 and index < len(data1):
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label.setText("<span style='font-size: 12pt'>x=%0.1f, <span style='color: red'>y1=%0.1f</span>, <span style='color: green'>y2=%0.1f</span>" % (mousePoint.x(), data1[index], data2[index]))
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vLine.setPos(mousePoint.x())
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hLine.setPos(mousePoint.y())
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proxy = pg.SignalProxy(p1.scene().sigMouseMoved, rateLimit=60, slot=mouseMoved)
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#p1.scene().sigMouseMoved.connect(mouseMoved)
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if __name__ == '__main__':
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pg.exec()
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