On Mon, Dec 14, 2009 at 10:22 AM, Susanne Pfeifer <ti...@tiffy.it> wrote: > Hello, > > I am relatively new to matplotlib and I was wondering whether there is > an easy possibility to generate a histogram whose height is normalized > to one (rather than the total area under the curve which is the case if > I use normed=1).
Use np.histogram to generate the counts, divide these by the sum of the counts, and use pyplot.bar to plot the bar heights. Something like In [44]: x = np.random.randn(10000) In [45]: n, bins = np.histogram(x, bins=20) In [46]: left = bins[:-1] In [47]: width = bins[1] - bins[0] In [48]: pct = n/float(n.sum()) In [49]: plt.bar(left, pct, width=width) JDH ------------------------------------------------------------------------------ Return on Information: Google Enterprise Search pays you back Get the facts. http://p.sf.net/sfu/google-dev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
