josef.p...@gmail.com wrote: > On Thu, Nov 26, 2009 at 2:44 PM, Wayne Watson > <sierra_mtnv...@sbcglobal.net> wrote: > >> I decided to try some example code from Subject. >> >> import numpy >> import pylab >> # Build a vector of 10000 normal deviates with variance 0.5^2 and mean 2 >> mu, sigma = 2, 0.5 >> v = numpy.random.normal(mu,sigma,10000) >> # Plot a normalized histogram with 50 bins >> pylab.hist(v, bins=50, normed=1) # matplotlib version (plot) >> pylab.show() >> # Compute the histogram with numpy and then plot it >> (n, bins) = numpy.histogram(v, bins=50, normed=1) # NumPy version (no plot) >> pylab.plot(.5*(bins[1:]+bins[:-1]), n) >> pylab.show() >> >> After the histogram is displayed how do I get to the plot? >> Where is histogram described in some detail? Normalized? >> The histogram x-axis goes from 0 to 4.5. How does that happen? >> Is v is two dimensional? What if it's one dimensional? >> > > some quick answers: > > matlplotlib's histogram uses numpy histogram for the calculations, > options are pretty well explained in the numpy docs, matplotlib has > docs and examples for the display. > > If I use numpy.histogram, then, I think, I used bar plot for the > display (scipy.stats.tutorial might also have an example where I had > taken the pattern from somewhere else) > > numpy also has 2d and multidimensional histogram, but I don't know if > the new 3d features of matplotlib can display them. > > Josef > > Thanks. That link doesn't seem to exist. When you say docs, do you mean some specific Python-like documentation? It looks like matplotlib has some decent descriptions of their hist program. I'd still like to know how one closes a graph and allows the program to continue. The above program is supposed to do a plot after the histogram, but I do not see one appear. If I press X to exit. It exits.
-- Wayne Watson (Watson Adventures, Prop., Nevada City, CA) (121.015 Deg. W, 39.262 Deg. N) GMT-8 hr std. time) Obz Site: 39° 15' 7" N, 121° 2' 32" W, 2700 feet 350 350 350 350 350 350 350 350 350 350 Make the number famous. See 350.org The major event has passed, but keep the number alive. Web Page: <www.speckledwithstars.net/> _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion