Kernel Density Estimation Heatmap In Python

I have a list of latitude and longitude coordinates and respective Received Signal strength values at each coordinate. How would I plot a kernel density estimation (kde) 2D heatmap

Solution 1:

You can use the python library seaborn. It has a handy function that plots kernel density estimation for your heatmaps.

Check this out :

import seaborn as sns

lat = [list_of_values]
long = [list_of_values]
ax = sns.kdeplot(lat, long, cmap="Blues", shade=True, shade_lowest=False)