Unfortunately, ticks in colorbar axes work differently. Use something like below instead.
cb.formatter.set_scientific(True) cb.formatter.set_powerlimits((0,4)) cb.update_ticks() Regards, -JJ On Mon, Mar 21, 2011 at 11:26 PM, johanngoetz <jgo...@ucla.edu> wrote: > > Is there a way to set the style and scilimits to the colorbar axes? All my > attempts failed. For example, run the following script, I get the error > shown below: > > ### begin example script > import numpy > from matplotlib import pyplot > > n = 5000000 > x = numpy.random.standard_normal(n) > y = 2.0 + 3.0 * x + 4.0 * numpy.random.standard_normal(n) > xmin = x.min() > xmax = x.max() > ymin = y.min() > ymax = y.max() > > hist, edges = numpy.histogramdd([y,x], bins=[25,25], > range=[[ymin,ymax], [xmin,xmax]]) > extent = [xmin, xmax, ymin, ymax] > > fig = pyplot.figure() > ax = fig.add_subplot(1,1,1) > plt = ax.imshow(hist, > extent = extent, > origin = 'lower', > interpolation = 'nearest', > aspect = 'auto') > cb = fig.colorbar(plt, ax=ax) > > # This causes an AttributeError exception > cb.ax.ticklabel_format(style='sci', scilimits=(0,4)) > > pyplot.show() > ### end example script > > > > >> python cb_scilim_test.py > > Traceback (most recent call last): > File "cb_scilim_test.py", line 25, in <module> > cb.ax.ticklabel_format(style='sci', scilimits=(0,4)) > File "/usr/lib64/python2.7/site-packages/matplotlib/axes.py", line 2117, > in ticklabel_format > "This method only works with the ScalarFormatter.") > AttributeError: This method only works with the ScalarFormatter. > > -- > View this message in context: > http://old.nabble.com/colorbar-and-scilimits-tp31201133p31201133.html > Sent from the matplotlib - users mailing list archive at Nabble.com. > > > ------------------------------------------------------------------------------ > Colocation vs. Managed Hosting > A question and answer guide to determining the best fit > for your organization - today and in the future. > http://p.sf.net/sfu/internap-sfd2d > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > ------------------------------------------------------------------------------ Enable your software for Intel(R) Active Management Technology to meet the growing manageability and security demands of your customers. Businesses are taking advantage of Intel(R) vPro (TM) technology - will your software be a part of the solution? Download the Intel(R) Manageability Checker today! http://p.sf.net/sfu/intel-dev2devmar _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
