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NumPy - random module



NumPy provides the random module. This module contains the functions which are used for generating random numbers. The most frequently used functions of this module are listed below:

Library Functions

Simple random data

FunctionsDescription
rand() Returns random values drawn from uniform distribution in a given shape.
randn() Returns random values drawn from standard normal distribution in a given shape.
randint() Returns random integers drawn from specified range in a given shape.
random_sample() Returns random floats in the half-open interval [0.0, 1.0) in a given shape.
random() Returns random floats in the half-open interval [0.0, 1.0) in a given shape.
ranf() Returns random floats in the half-open interval [0.0, 1.0) in a given shape.
sample() Returns random floats in the half-open interval [0.0, 1.0) in a given shape.
choice() Generates a random sample from a given 1-D array.
bytes() Return random bytes.

Permutations

FunctionsDescription
shuffle() Modify a sequence in-place by shuffling its contents.
permutation() Randomly permute a sequence, or return a permuted range.

Distributions

FunctionsDescription
binomial() Draw samples from a binomial distribution.
exponential() Draw samples from a exponential distribution.
geometric() Draw samples from a geometric distribution.
logistic() Draw samples from a logistic distribution.
normal() Draw samples from a normal distribution.
poisson() Draw samples from a poisson distribution.
uniform() Draw samples from a uniform distribution.

Random generator

FunctionsDescription
seed() Seeds the generator.

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