I'm plotting some histograms with hist() --- well, actually with ax.hist(), where ax is an axis --- and the "normed=1" isn't working the way I would expect.
from pylab import * data = sin(arange(0.0,100,.01)) fig = figure() ax = fig.add_subplot(111) ax.hist(data,bins=50,normed=1,align='center') show() If I do not include normed=1, then the Y scale is an actual count inside each bin. (The scale goes from 1-1000). If I include normed=1, the Y scale goes from 1 - 7. What does that mean? normed is supposed to make the first result from ax.hist be a normalized probability distribution. But I would think that it would change the Y axis to be a probability as well, and it doesn't do that. The docstrings do not give any insight, so I looked at the source code. It certainly *looks* like it's plotting the probability distribution. But why does the above example give a Y scale going from 1 to 7? Perhaps I'm showing my lack of statistics here, but I would think that a strict probability distribution would have the value of all of the bars adding to 1, Sorry to send out so many messages today. I really am trying to figure this out on my own... ------------------------------------------------------------------------- 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
