R package 'ks' 是否有 Python 版本？

Question

Recently I wanted to compare two sets of points and found the R package 'ks'. The function kde.test (a kernel density based global two-sample comparison test, not KS test) is what I need. For example

library(MASS)
data(crabs)
x1 <- crabs[crabs$sp=="B", c(4,6)]
x2 <- crabs[crabs$sp=="O", c(4,6)]
kt <- kde.test(x1=x1, x2=x2)

But unfortunately I'm not familiar in R and most of my work was done using Python, so it's hard to transfer my scripts to R. At the same time, the function of 'ks' (mainly kde.test) is important to my work. Does anyone know if there's a Python version of 'ks', or if there's a package with similar features in Python?

Answer 1

You can use SciPy in Python.

Performs the (one-sample or two-sample) Kolmogorov-Smirnov test for goodness of fit.

The one-sample test compares the underlying distribution F(x) of a sample against a given distribution G(x). The two-sample test compares the underlying distributions of two independent samples. Both tests are valid only for continuous distributions.