I was using matplotlib 0.99.1.1. I just set up an Ubuntu system in VirtualBox so I could run the current svn trunk, and all is well. It looks like the fix has already been implemented.
On Wed, May 12, 2010 at 3:06 PM, Jeff Klukas <klu...@wisc.edu> wrote: > I've looked now through the source code for axes.hist, and I see where > the problem is. If any value of any bin of the histogram is zero, > then axes.fill fails, as zero is necessarily outside the y boundaries > of the axes for log scale. > > Already, a default value of 1e-100 is chosen for the first and last > points given to axes.fill. If you also clean the histogram, replacing > all zero y-values with 1e-100, then the fill succeeds. I see no > downside to this treatment, since the default value has already been > introduced. > > The user will still need to choose a reasonable lower limit for the y-axis. > > Any objections or concerns? > > Cheers, > Jeff > > On Wed, May 12, 2010 at 11:13 AM, Jeff Klukas <klu...@wisc.edu> wrote: >> When creating a histogram with histtype='stepfilled' and log=True, the >> fill always ends up getting cut off diagonally. It looks like it's >> connection one datapoint with 10^-100 on the other side of the plot. >> So, also, it looks like it's always choosing 10^-100 as an arbitrary >> lower limit, which is another problem. >> >> Is this a known bug? Does anybody have ideas for an intelligent way >> to handle stepfilled log histograms? >> >> A working example is below, with the output plot attached. >> >> Thanks, >> Jeff >> >> || Jeff Klukas, Research Assistant, Physics >> || University of Wisconsin -- Madison >> || jeff.klu...@gmail | jeffyklu...@aim | jeffklu...@skype >> || http://www.hep.wisc.edu/~jklukas/ >> >> --------------------------------------------- >> #!/usr/bin/env python >> import numpy as np >> import matplotlib.mlab as mlab >> import matplotlib.pyplot as plt >> >> mu, sigma = 100, 15 >> x = mu + sigma*np.random.randn(10000) >> >> # the histogram of the data >> n, bins, patches = plt.hist(x, 50, normed=1, facecolor='green', alpha=0.75, >> log=True, histtype='stepfilled') >> >> plt.xlabel('Smarts') >> plt.ylabel('Probability') >> plt.title(r'$\mathrm{Histogram\ of\ IQ:}\ \mu=100,\ \sigma=15$') >> plt.axis([40, 160, 0, 0.03]) >> plt.grid(True) >> >> plt.show() >> --------------------------------------------- >> > ------------------------------------------------------------------------------ _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
