How to calculate probability in normal distribution given mean, std in Python? I can always explicitly code my own function according to the definition like the OP in this question did: Calculating Probability of a Random Variable in a Distribution in Python
Just wondering if there is a library function call will allow you to do this. In my imagine it would like this:
nd = NormalDistribution(mu=100, std=12) p = nd.prob(98)
There is a similar question in Perl: How can I compute the probability at a point given a normal distribution in Perl?. But I didn’t see one in Python.
Numpy has a
random.normal function, but it’s like sampling, not exactly what I want.