Hi all, It would appear that Axes.hist() does not handle large input values the way I was expecting it to.
For example: ----------------------------------------------------------------- import matplotlib.pyplot as plt fig = plt.figure() ax = fig.add_subplot(111) # Plot as expected: single bar in the center: #result = ax.hist([1.0e+14], 5) # Plot remains completely empty: result = ax.hist([1.0e+16], 5) print "result:", result plt.show() ----------------------------------------------------------------- My hypothesis is that the large value in y is causing the bin interval size in x to become infinitesimally small, but is it conceptually wrong of me to expect a histogram for such large values to still work? If so, what would be a workaround? I don't control the data I am trying to plot, and sometimes there's yes, only a single value, and yes, it's that large... (All this is done with matplotlib 1.1.0 on Debian stable (v6.0.x) for Python 2.6.6. uname: Linux miranda 2.6.32-5-686 #1 SMP Mon Oct 3 04:15:24 UTC 2011 i686 GNU/Linux). Any help/advice will be much appreciated. -- Leo Breebaart <l...@lspace.org> ------------------------------------------------------------------------------ Cloud Services Checklist: Pricing and Packaging Optimization This white paper is intended to serve as a reference, checklist and point of discussion for anyone considering optimizing the pricing and packaging model of a cloud services business. Read Now! http://www.accelacomm.com/jaw/sfnl/114/51491232/ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
