Follow up to #16280, we need tests for colorbars. i.e.
@image_comparison(
baseline_images=['colorbar_norms'], extensions=['png'])
def test_cbar_norms():
# Test colormaps with different norms
norms = [mcolors.Normalize(vmin=-1, vmax=2),
mcolors.BoundaryNorm(boundaries=[-1, 0, 1], ncolors=4),
mcolors.LogNorm(vmin=1, vmax=1e4),
mcolors.PowerNorm(gamma=0.2, vmin=0.1, vmax=0.6),
mcolors.SymLogNorm(1, vmin=-10, vmax=10),
mcolors.TwoSlopeNorm(1, vmin=0, vmax=2)]
fig, axs = plt.subplots(ncols=len(norms), constrained_layout=True)
for ax, norm in zip(axs, norms):
fig.colorbar(cm.ScalarMappable(norm=norm, cmap='viridis'), cax=ax, extend='both')but we can't do them yet because SymLogNorm (for instance) is not quite correct yet...
See also #16392, #16286 where this test originally came from...
Follow up to #16280, we need tests for colorbars. i.e.
but we can't do them yet because
SymLogNorm(for instance) is not quite correct yet...See also #16392, #16286 where this test originally came from...