scipy.stats.alpha() is an alpha continuous random variable that is defined with a standard format and some shape 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 : Creating alpha continuous random variable
# Python code to demonstrate scipy.alpha() from scipy.stats import alpha # using 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, rv.pdf(distribution)) |
Output :
