On Wed, Jun 17, 2009 at 5:31 PM, Alexandar Hansen<viochem...@gmail.com> wrote: > Hello, > > I've been having fun using hexbin, but I'd like to have consistent bin sizes > and plot ranges for different sets of data. What I'm finding is that the bin > sizes are primarily determined by the input data mins and maxes. For > instance, I'm plotting data with something like:
Instead of a "something like" could you please post a complete example that we can run so we can replicate the error. This saves us a lot of time. Also, please report any version info, as described at http://matplotlib.sourceforge.net/faq/troubleshooting_faq.html#report-a-problem For example, the following runs for me using mpl svn: import numpy as np import matplotlib.cm as cm import matplotlib.pyplot as plt n = 100000 x = np.random.standard_normal(n) y = 2.0 + 3.0 * x + 4.0 * np.random.standard_normal(n) xmin = x.min() xmax = x.max() ymin = y.min() ymax = y.max() plt.subplots_adjust(hspace=0.5) plt.subplot(121) plt.hexbin(x,y, cmap=cm.jet, extent=[xmin, xmax, ymin, ymax]) plt.axis([xmin, xmax, ymin, ymax]) plt.title("Hexagon binning") cb = plt.colorbar() cb.set_label('counts') plt.subplot(122) plt.hexbin(x,y,bins='log', cmap=cm.jet) plt.axis([xmin, xmax, ymin, ymax]) plt.title("With a log color scale") cb = plt.colorbar() cb.set_label('log10(N)') plt.show() ------------------------------------------------------------------------------ Crystal Reports - New Free Runtime and 30 Day Trial Check out the new simplified licensing option that enables unlimited royalty-free distribution of the report engine for externally facing server and web deployment. http://p.sf.net/sfu/businessobjects _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
