Depending on sample of values of random variable I create cumulative density function using kernel density estimation.
cdf = gaussian_kde(sample)
What I need is to generate sample values of random variable whose density function is equal to constructed cdf. I know about the way of inversing the probability distribution function, but since I can not do it analitically it requires pretty complicated preparations. Is there integrated solution or maybe another way to accomplish the task?
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