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NumPy Random Generator | uniform method
schedule Aug 12, 2023
Last updated local_offer
Tags Python●NumPy
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NumPy Random Generator's uniform(~) method draws a random sample from a uniform distribution.
Parameters
1. low | float or array-like of float | optional
The lower bound (inclusive). By default, low=0.0.
2. high | float or array-like of float | optional
The upper bound (exclusive). By default, high=1.0.
3. size | int or tuple of int | optional
The size of the random sample. By default, a scalar float is returned.
Return Value
If size is None, then a scalar is returned. Otherwise, a NumPy array is returned.
Examples
Creating a one-dimensional random array of floats
To generate a random sample of size 10 with the minimum value being 0 (inclusive) and maximum being 10 (exclusive):
import numpy as nprng = np.random.default_rng(seed=42)rng.uniform(0,5,10)
array([3.86978024, 2.1943922 , 4.2929896 , 3.48684015, 0.47088674, 4.87811176, 3.80569851, 3.93032153, 0.64056816, 2.25192969])
Creating a two-dimensional random array of floats
To generate a random sample of size (2,3) (2 rows and 3 columns) between 0 (inclusive) and 5 (exclusive):
rng = np.random.default_rng(seed=42)rng.uniform(0,5,(2,3))
array([[3.86978024, 2.1943922 , 4.2929896 ], [3.48684015, 0.47088674, 4.87811176]])
Published by Isshin Inada
Edited by 0 others
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Official NumPy Documentation
https://numpy.org/doc/stable/reference/random/generated/numpy.random.Generator.uniform.html
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