83 lines
2.1 KiB
Python
83 lines
2.1 KiB
Python
"""
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Demonstrate the use of layouts to control placement of multiple plots / views /
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labels
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"""
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## Add path to library (just for examples; you do not need this)
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import initExample
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from pyqtgraph.Qt import QtGui, QtCore
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import pyqtgraph as pg
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import numpy as np
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app = pg.mkQApp("Gradiant Layout Example")
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view = pg.GraphicsView()
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l = pg.GraphicsLayout(border=(100,100,100))
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view.setCentralItem(l)
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view.show()
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view.setWindowTitle('pyqtgraph example: GraphicsLayout')
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view.resize(800,600)
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## Title at top
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text = """
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This example demonstrates the use of GraphicsLayout to arrange items in a grid.<br>
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The items added to the layout must be subclasses of QGraphicsWidget (this includes <br>
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PlotItem, ViewBox, LabelItem, and GrphicsLayout itself).
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"""
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l.addLabel(text, col=1, colspan=4)
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l.nextRow()
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## Put vertical label on left side
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l.addLabel('Long Vertical Label', angle=-90, rowspan=3)
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## Add 3 plots into the first row (automatic position)
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p1 = l.addPlot(title="Plot 1")
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p2 = l.addPlot(title="Plot 2")
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vb = l.addViewBox(lockAspect=True)
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img = pg.ImageItem(np.random.normal(size=(100,100)))
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vb.addItem(img)
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vb.autoRange()
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## Add a sub-layout into the second row (automatic position)
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## The added item should avoid the first column, which is already filled
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l.nextRow()
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l2 = l.addLayout(colspan=3, border=(50,0,0))
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l2.setContentsMargins(10, 10, 10, 10)
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l2.addLabel("Sub-layout: this layout demonstrates the use of shared axes and axis labels", colspan=3)
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l2.nextRow()
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l2.addLabel('Vertical Axis Label', angle=-90, rowspan=2)
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p21 = l2.addPlot()
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p22 = l2.addPlot()
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l2.nextRow()
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p23 = l2.addPlot()
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p24 = l2.addPlot()
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l2.nextRow()
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l2.addLabel("HorizontalAxisLabel", col=1, colspan=2)
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## hide axes on some plots
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p21.hideAxis('bottom')
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p22.hideAxis('bottom')
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p22.hideAxis('left')
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p24.hideAxis('left')
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p21.hideButtons()
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p22.hideButtons()
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p23.hideButtons()
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p24.hideButtons()
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## Add 2 more plots into the third row (manual position)
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p4 = l.addPlot(row=3, col=1)
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p5 = l.addPlot(row=3, col=2, colspan=2)
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## show some content in the plots
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p1.plot([1,3,2,4,3,5])
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p2.plot([1,3,2,4,3,5])
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p4.plot([1,3,2,4,3,5])
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p5.plot([1,3,2,4,3,5])
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if __name__ == '__main__':
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pg.exec()
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