Hi,
thanks for the suggestion.
ax.set_xticks((-pi,pi))
ax.set_xticklabels(('\-\\pi','\\pi'))
I guess color bars are a little special in the sense that
AttributeError: Colorbar instance has no attribute 'set_yticklabels'
The tick positions are given not by set_yticks either, but as an option
pylab.colorbar(ticks=(-pi,0,pi))
at the instatiation of the bar. It would indeed be very handy if the
bars acted like axes.
Cheers,
Nico
Hi Nico,
nontheless you can use the axes-method to display your preferred labels. The
colorbar has its axes as attribute 'ax' (see also my small example below):
cb.ax.set_yticklabels((r'\-\\pi', '0', r'\\pi'))
Kind regards,
Matthias
On Monday 15 February 2010 09:28:10 Nico Schlömer wrote:
Hi,
thanks for the suggestion.> ax.set_xticks((-pi,pi))
> ax.set_xticklabels(('\-\\pi','\\pi'))I guess color bars are a little special in the sense that
AttributeError: Colorbar instance has no attribute 'set_yticklabels'
The tick positions are given not by set_yticks either, but as an option
pylab.colorbar(ticks=(-pi,0,pi))
at the instatiation of the bar. It would indeed be very handy if the
bars acted like axes.
-----------------------------------
import matplotlib as mpl
mpl.rc('text', usetex=True)
import matplotlib.pyplot as plt
import numpy as np
ax = plt.axes()
plt.imshow(np.reshape(np.pi*np.arange(-2, 3, 0.5), (2, 5)))
cb = plt.colorbar()
cb.set_ticks((-np.pi, 0.0, np.pi))
cb.ax.set_yticklabels((r'\-\\pi', '0', r'\\pi'))
plt.show()
cb.ax.set_yticklabels((r'\-\\pi', '0', r'\\pi'))
Works like a charm. Thanks!
--Nico