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
--
»Time flies like an arrow, fruit flies like a Banana.«
PGP fingerprint: 5B93 61F8 4EA2 E279 ABF6 02CF A9AD B7F8 AE4E 425C
------------------------------------------------------------------------------
Nokia and AT&T present the 2010 Calling All Innovators-North America contest
Create new apps & games for the Nokia N8 for consumers in U.S. and Canada
$10 million total in prizes - $4M cash, 500 devices, nearly $6M in marketing
Develop with Nokia Qt SDK, Web Runtime, or Java and Publish to Ovi Store
http://p.sf.net/sfu/nokia-dev2dev
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
