Does anyone know how to do a contour plot of a set of X,Y data where each contour level has the same number of data points inside it? What I want to show is where most of the data is appearing in the x, y position for a scatter plot of ~1,000 points, so you can't just plot all those as points. This is similar to the probability density function for a scatter plot.
In concept, you would start at the median of x and median of y and then include points by their distance from the median until you reach the number in each contour and draw a contour around this region. Then you would proceed outward from the contour to find more points. An alternative, but not exactly correct approach I have already done is to bin the data like a 2D histogram and then use the number of occurrences in each bin as the z value for contourf. I see this plot a lot in the scientific literature, so I know it must be possible, but haven't been able to find it on the web for python. Thanks, Mike -- View this message in context: http://www.nabble.com/Contour-of-Number-of-Occurences-in-a-Scatter-Plot-tp25083681p25083681.html Sent from the matplotlib - users mailing list archive at Nabble.com. ------------------------------------------------------------------------------ Let Crystal Reports handle the reporting - Free Crystal Reports 2008 30-Day trial. Simplify your report design, integration and deployment - and focus on what you do best, core application coding. Discover what's new with Crystal Reports now. http://p.sf.net/sfu/bobj-july _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
