Hi,
Since upgrading to matplotlib 2.0.0 I've found that one of the plots I made
before has odd behavior in ticking. Sample code to reproduce the problem
is as follows:
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import LogNorm,Normalize
from mpl_toolkits.axes_grid1 import ImageGrid
fig = plt.figure()
grid = ImageGrid(fig, 111, nrows_ncols = (2,2), share_all =
True, add_all=True, label_mode = 'L', cbar_mode = 'single')
for g in grid:
image = (10.**(3.*np.random.rand(100))).reshape((10,10))
im = g.imshow(image, origin='lower', norm=LogNorm(),
interpolation='none', extent=(0., 29.9, 0., 29.9),
cmap='viridis', vmin=1.,vmax=1.E3)
grid.cbar_axes[0].colorbar(im)
grid.cbar_axes[0].set_yticks([1.,10.,100.,1.E3])
grid.cbar_axes[0].set_yticklabels([r'$1.0$', r'$10$',r'$10^{2}$',
r'$10^{3}$'])
plt.show()
?The result I get is shown in the attached image. The issue is the "2 x
10^0" in the lower right. It seems that it's associated with the colorbar,
but doing things like grid.cbar_axes[0].set_xticks([]) has no effect. If I
don't include the colorbar that annotation doesn't get created. It also
seems to be associated with using norm=LogNorm(). In fact if I don't
include setting the yticks and yticklabels on the colorbar, I get that "2
x10^0" label and "None" at the upper right. So, this certainly seems like
some sort of bug. It doesn't to that using version 1.5. I can submit a
bug report if desired.
Jon?
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________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
cell: (781) 363-0035 USA
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