> Can you elaborate why you need to do this? As you can see in my example:
#------ import numpy as np from matplotlib import pyplot,mpl x = np.arange(10) y = np.arange(25) z = np.floor(10*np.random.random((25,10))) pyplot.contourf(x,y,z) cb = pyplot.colorbar() pyplot.show() #------ the smallest value (0.0) is labeled with "-0.0". I just want to get rid of the minus sign. Cheers Mario > This is a general behavior of Axes in matplotlib (i.e., not colorbar > specific). There are things that are evaluated later when the figure > gets drawn. > You may use iter_ticks method if it fits your need. > > for j, p, l in cb.ax.yaxis.iter_ticks(): > print l > > To change the ticklabels of colorbar, they need to be set when the > colorbar is created, as Scott suggested. This is a limitation of the > current colobar implementation. Changing ticklabels (or locations) > after colorbar is created is quite tricky. > > Regards, > > -JJ -- Dr. Mario Mech Institute for Geophysics and Meteorology University of Cologne Zuelpicher Str. 49a 50674 Cologne Germany t: +49 (0)221 - 470 - 1776 f: +49 (0)221 - 470 - 5198 e: m...@meteo.uni-koeln.de w: http://www.meteo.uni-koeln.de/~mmech/ ------------------------------------------------------------------------------ Throughout its 18-year history, RSA Conference consistently attracts the world's best and brightest in the field, creating opportunities for Conference attendees to learn about information security's most important issues through interactions with peers, luminaries and emerging and established companies. http://p.sf.net/sfu/rsaconf-dev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
