Hi Users, I'm looking to make a histogram that is normalized by the total number of items shown in the histogram. For example:
Let's say that I have an array 1000 items long. If I make a histogram in the normal way hist(x,10) then I get a histogram showing the total number of items in each bin. What I want to do is take that total number in each bin and divide them by 1000 and then make the plot. So if one of my bins has 350 objects in it, then it would be changed to 0.35. Another way to say it would be that I want the height of the histogram to represent the fraction of the total. I am pretty sure that this is different than using the "normed=True" flag, but I couldn't find anyone talking about this when I searched. Thanks Steven ------------------------------------------------------------------------------ All the data continuously generated in your IT infrastructure contains a definitive record of customers, application performance, security threats, fraudulent activity, and more. Splunk takes this data and makes sense of it. IT sense. And common sense. http://p.sf.net/sfu/splunk-novd2d _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
