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NumPy Random Generator | uniform method

NumPy
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NumPy Random Generator
schedule Jul 1, 2022
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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 np
rng = 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]])
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Published by Isshin Inada
Edited by 0 others
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