sympy.stats.Beta() in Python

With the help of sympy.stats.Beta() method, we can get the continuous random variable which represents the beta distribution.

Syntax : sympy.stats.Beta(name, alpha, beta)
Where, alpha and beta is greater than 0.
Return : Return the continuous random variable.

Example #1 :
In this example we can see that by using sympy.stats.Beta() method, we are able to get the continuous random variable represents the beta distribution by using this method.

# Import sympy and beta
from sympy.stats import Beta, density, E, variance
from sympy import Symbol, simplify, pprint, factor

alpha = Symbol("alpha", positive = True)
beta = Symbol("beta", positive = True)
z = Symbol("z")

# Using sympy.stats.Beta() method
X = Beta("x", alpha, beta)
gfg = density(X)(z)

pprint(gfg, use_unicode = False)

Output :

alpha – 1 beta – 1
z *(1 – z)
————————–
B(alpha, beta)

Example #2 :

# Import sympy and beta
from sympy.stats import Beta, density, E, variance
from sympy import Symbol, simplify, pprint, factor

alpha = 4
beta = 5
z = Symbol("z")

# Using sympy.stats.Beta() method
X = Beta("x", alpha, beta)
gfg = density(X)(z)

pprint(gfg, use_unicode = False)

Output :

3 4
z *(1 – z)
———–
B(4, 5)