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"""
This example demonstrates ViewBox and AxisItem configuration to plot a correlation matrix.
"""
import numpy as np
import pyqtgraph as pg
from pyqtgraph.Qt import QtGui, QtWidgets, mkQApp
class MainWindow(QtWidgets.QMainWindow):
""" example application main window """
def __init__(self, *args, **kwargs):
super(MainWindow, self).__init__(*args, **kwargs)
gr_wid = pg.GraphicsLayoutWidget(show=True)
self.setCentralWidget(gr_wid)
self.setWindowTitle('pyqtgraph example: Correlation matrix display')
self.resize(600,500)
self.show()
corrMatrix = np.array([
[ 1. , 0.5184571 , -0.70188642],
[ 0.5184571 , 1. , -0.86094096],
[-0.70188642, -0.86094096, 1. ]
])
columns = ["A", "B", "C"]
pg.setConfigOption('imageAxisOrder', 'row-major') # Switch default order to Row-major
correlogram = pg.ImageItem()
# create transform to center the corner element on the origin, for any assigned image:
tr = QtGui.QTransform().translate(-0.5, -0.5)
correlogram.setTransform(tr)
correlogram.setImage(corrMatrix)
plotItem = gr_wid.addPlot() # add PlotItem to the main GraphicsLayoutWidget
plotItem.invertY(True) # orient y axis to run top-to-bottom
plotItem.setDefaultPadding(0.0) # plot without padding data range
plotItem.addItem(correlogram) # display correlogram
# show full frame, label tick marks at top and left sides, with some extra space for labels:
plotItem.showAxes( True, showValues=(True, True, False, False), size=20 )
# define major tick marks and labels:
ticks = [ (idx, label) for idx, label in enumerate( columns ) ]
for side in ('left','top','right','bottom'):
plotItem.getAxis(side).setTicks( (ticks, []) ) # add list of major ticks; no minor ticks
plotItem.getAxis('bottom').setHeight(10) # include some additional space at bottom of figure
colorMap = pg.colormap.get("CET-D1") # choose perceptually uniform, diverging color map
# generate an adjustabled color bar, initially spanning -1 to 1:
bar = pg.ColorBarItem( values=(-1,1), colorMap=colorMap)
# link color bar and color map to correlogram, and show it in plotItem:
bar.setImageItem(correlogram, insert_in=plotItem)
mkQApp("Correlation matrix display")
main_window = MainWindow()
## Start Qt event loop
if __name__ == '__main__':
pg.exec()
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