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Description
The contourf colorbar doesn't work as expected.
The following code:
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.colors as mplc
x, y = np.mgrid[0:1:0.01, 0:1:0.01]
r = np.sqrt(x ** 2 + y ** 2)
z = np.sin(6 * np.pi * r)
norm = mplc.Normalize(0, 0.5)
fig0, ax0 = plt.subplots(1, 1, )
cf0 = ax0.contourf(x, y, z, np.arange(-1., 1.001, .01), norm=norm)
cbar0 = plt.colorbar(cf0,)
Produces the following figure:
Compare this with the colorbar of, e.g. a pcolormesh:
fig2, ax2 = plt.subplots(1, 1)
pc2 = ax2.pcolormesh(x, y, z, norm=norm)
cbar2 = plt.colorbar(pc2)
That's a nice colorbar, and it's what I expect the default behavior to be for contourf also. Is there a reason the contourf colorbar behaves this way? I've looked at using the vmin,vmax args, and the result is the same. Also, the result is the same for tricontourf colorbars as well.
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