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

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