UNIFORM DISTRIBUTION

UNIFORM DISTRIBUTION

M.Ramya



Uniform Distribution

Uniform distribution is used to describe situations where all outcomes have an equal chance of occurring. It’s commonly used for generating random numbers.

Parameters:

low – Lower boundary of the distribution (default: 0.0)

high – Upper boundary of the distribution (default: 1.0)

size – Shape of the output array (defines the number of samples).

Program:

Generate a 2x3 sample from a uniform distribution:

from numpy import random

x = random.uniform(size=(2, 3))

print(x)

Output:

[[0.62114757 0.1096391  0.73659325]
 [0.31405799 0.96172304 0.44268658]]

Visualization of Uniform Distribution

from numpy import random

import matplotlib.pyplot as plt

import seaborn as sns

sns.displot(random.uniform(size=1000), kind="kde")

plt.show()




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