On 3/17/07, Simson Garfinkel <[EMAIL PROTECTED]> wrote: > Hi. I haven't been active for a while, but now I have another paper > that I need to get out...
Glad to have you back... > Anyway, I need to draw a cumulative distribution function, as the > reviewers of my last paper really nailed me to the wall for including > histograms instead of CDFs. Is there any way to plot a CDF with > matplotlib? For analytic cdfs, see scipy.stats. I assume you need an empirical cdf. You can use matplotlib.mlab.hist to compute the empirical pdf (use normed=True to return a PDF rather than a frequency count). Then use numpy.cumsum to do the cumulative sum of the pdf, multiplying by the binsize so it approximates the integral. import matplotlib.mlab from pylab import figure, show, nx x = nx.mlab.randn(10000) p,bins = matplotlib.mlab.hist(x, 50, normed=True) db = bins[1]-bins[0] cdf = nx.cumsum(p*db) fig = figure() ax = fig.add_subplot(111) ax.bar(bins, cdf, width=0.8*db) show() ------------------------------------------------------------------------- Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT & business topics through brief surveys-and earn cash http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
