pcolormesh with demos.data_three_circles

An example data such that the detail can be visualized with adaptiveheatmap.pcolormesh while only the large differences are captured in matplotlib.pyplot.pcolormesh.

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from matplotlib import pyplot
import numpy

from adaptiveheatmap.demos import data_three_circles
import adaptiveheatmap

pyplot.style.use("ggplot")

X, Y, Z = data_three_circles()
ah = adaptiveheatmap.pcolormesh(X, Y, Z)
ah.set_xlabel('X')
ah.set_ylabel('Y')
ah.set_zlabel('Z')
ah.relate_xyzq(0, numpy.tan(numpy.pi / 3), color='C2', noline=True)
ah.relate_xyzq(+1, 0, color='C3', noline=True)
ah.relate_xyzq(-1, 0, color='C4', noline=True)
ah.relate_xyzq(1.5, 2, color='C5', noline=True)
ah.figure.suptitle('adaptiveheatmap.pcolormesh')

pyplot.figure()
pyplot.pcolormesh(X, Y, Z)
pyplot.title('pyplot.pcolormesh')
pyplot.colorbar()

pyplot.show()

Total running time of the script: ( 0 minutes 0.139 seconds)