.chisquare()

In the random module of NumPy, the .chisquare() method generates random samples from a chi-square distribution. It is frequently applied in hypothesis testing to assess whether observed data differ significantly from expected outcomes.

Syntax

numpy.random.chisquare(df, size=None)

Parameters:

• df (float or array-like of floats): Degrees of freedom (must be positive). This parameter determines the shape of the chi-square distribution.
• size (Optional): The shape of the output array. If not specified, a single value is returned.

Return value:

In NumPy, the .chisquare() function returns a randomly drawn sample or an array of samples from the chi-square distribution with df degrees of freedom.

• If size is None, a single random value is returned.
• If size is specified, an array of random values is returned, with the shape of the array determined by size.

Example: Generating Random Values from a Chi-Square Distribution in NumPy

The example below shows how to generate random values from a chi-square distribution with 2 degrees of freedom:

import numpy as np

# Generate 3 random values from a chi-square distribution with 2 degrees of freedom
result = np.random.chisquare(2, size = 3)

print(result)

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A possible output of this code can be:

[6.00571639 0.49778027 1.38101813]

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This code randomly draws 3 values from a chi-square distribution with 2 degrees of freedom.

Codebyte Example

In this Codebyte example, we sample 3 values from a chi-square distribution with 1 degree of freedom:

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Note: The output may differ at each execution, as the selection is random.