I see a lot of questions like this one for R, but I couldn't find one specifically for Python, preferably using numpy.
Let's say I have an array of observations stored in
x. I can get the value that accumulates
q * 100 per cent of the population.
# Import numpy
import numpy as np
# Get 75th percentile
However, I was wondering if there's a function that does the inverse. That is, a numpy function that takes a value as an input and returns
To further expand on this, scipy distribution objects have a
ppf method that allows me to do this. I'm looking for something similar in numpy. Does it exist?
Not a ready-made function but a compact and reasonably fast snippet:
You can (at least on my machine) squeeze out a few percent better performance by using
np.count_nonzero(a<value) / a.size
but tbh I wouldn't even bother.