Scipy.stats.anglit() in Python

Scipy.stats.anglit() is a Python function that belongs to the statistics module of the Scipy library. It is used to create an anglit continuous random variable. It represents a continuous random variable with an anglit probability distribution.

Syntax

scipy.stats.anglit(loc=0, scale=1)

The anglit() function takes two optional arguments.

• loc: This specifies the location parameter. It is the mean of the distribution. The default value is 0.
• scale: This specifies the scale parameter. It is the standard deviation of the distribution. The default value is 1.

Return Value

The anglit() function returns an anglit continuous random variable.

Example

The following example demonstrates the use of scipy.stats.anglit() function.

import scipy.stats as stats

# Create an anglit continuous random variable with default parameters
anglit_var = stats.anglit()

# Generate 5 random numbers from the anglit distribution
print(anglit_var.rvs(size=5))

# Calculate the probability density function at x=0.5
print(anglit_var.pdf(0.5))

# Calculate the cumulative distribution function at x=0.5
print(anglit_var.cdf(0.5))

Output:

[-3.22591847 -2.52543734 -1.32774651  4.87395379 -0.06212817]
0.5533475498978749
0.6414728194138916

In the above example, we have created an anglit continuous random variable using the scipy.stats.anglit() function. We have then generated 5 random numbers from the anglit distribution using the rvs() method. Then, the probability density function at x=0.5 is calculated using the pdf() method, and the cumulative distribution function at x=0.5 is calculated using the cdf() method.