Hello,

I am trying to set tick labels for a matshow plot. This works just fine

if I only work on the X axis:

res = np.diag(np.arange(10)) # dummy data

modes = [ (x+1, 0) for x in range(5) ] # dummy data

fig = plt.figure()

ax = fig.add_subplot(111)

cs = ax.matshow(res)

fig.colorbar(cs, ticks=np.arange(0,-10,-1), shrink=0.8)

ax.set_xticklabels(['%d/%d' % (x[1], x[0]) for x in modes])

ax.set_xticks(2*np.arange(len(modes))+0.5)

but if I try to do the same think with the Y axis, everything looks

messed up (e.g. the matrix is no longer square):

ax.set_yticklabels(['%d/%d' % (x[1], x[0]) for x in modes])

ax.set_yticks(2*np.arange(len(modes))+0.5)

What am I doing wrong?

Thanks,

-Nikolaus

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