scipy.stats.alpha () — it is an alpha continuous random variable that is defined by a standard format and some form parameters to complete its specification.

Parameters:
q: lower and upper tail probability
x: quantiles
a: shape parameter
loc: [ optional] location parameter. Default = 0
scale: [optional] scale parameter. Default = 1
size: [tuple of ints, optional] shape or random variates.
moments: [optional] composed of letters [`mvsk `]; `m` = mean, `v` = variance, `s` = Fisher`s skew and `k` = Fisher`s kurtosis. (default = `mv`).

Results: alpha continuous random variable

Code # 1: Create an alpha continuous random variable random variable

# Python code for demonstration scipy.alpha () from scipy.stats import alpha   # using the alpha () method numargs = alpha.numargs [a] = [ 0.6 ,] * numargs rv = alpha (a)

Code # 2:

# Python code to demonstrate scipy.alpha ( ) import numpy as np import matplotlib.pyplot as plt   # getting distribution using linspace () distribution = np.linspace ( 0 , np.minimum (rv.dist. b, 3 )) plot = plt.plot (distribution, r v.pdf (distribution))

Output: