python - How could I make a 2-D map for a set of points, based on their probability distribution? -


i want make 2-d map , have set of data x , y coordinates , each point has probability distribution based on 1 of properties. in somehow smooth probability distribution of each point in x , y coordinate , make 2-d map based on maximum , width of peak of each point probability distribution.

how use python implement it?

it looks question going closed seems way broad, think looking kernel density estimation, or multivariate kernel density estimation.

loosely, each point defines distribution (the kernel) when convolved, gives "smoothed" version. see linked article @ picture below better example:

enter image description here

scipy has gaussian kde.


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