How to Kernel Density Estimation with 2D data

Hi there, I am trying to create a pdf with my 2D data so that i could do kernel density estimation. Like calculating p(x|f=1) using my pdf.

It's sort of similar to the question here https://au.mathworks.com/matlabcentral/answers/195596-use-kernel-density-estimation-to-get-the-probability-of-a-new-observation, other than that i have 2D data.

I don't know whether its easier to use fitdist or ksdensity. This question here https://au.mathworks.com/matlabcentral/answers/18365-kernel-density-for-2d-data seems to be like i want but they didn't use the pdf to compute probability p(x|f=1).