Kernel Density Estimation Heatmap in python
<p>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 for these signal strengths at each lat-lon in python(matplotlib)? </p>

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

<p>Check this out :</p>

<pre><code>import seaborn as sns

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

python matplotlib heatmap kernel-density