With the help of sympy.stats.DiscreteUniform()
method, we can get the random variable who is representing the discrete uniform values for input by using sympy.stats.DiscreteUniform()
method.
Syntax :
sympy.stats.DiscreteUniform(list/tuple)
Return : Return the discrete uniform value.
Example #1 :
In this example we can see that by using sympy.stats.DiscreteUniform()
method, we are able to get the random variable representing the discrete uniform value by using this method.
# Import sympy and DiscreteUniform from sympy.stats import DiscreteUniform, density from sympy import symbols # Using stats.DiscreteUniform() method X = DiscreteUniform( 'X' , symbols( 'g f g' )) gfg = density(X). dict print (gfg) |
Output :
{g: 1/3, f: 1/3}
Example #2 :
# Import sympy and DiscreteUniform from sympy.stats import DiscreteUniform, density from sympy import symbols # Using stats.DiscreteUniform() method Y = DiscreteUniform( 'Y' , list ( range ( 5 ))) gfg = density(Y). dict print (gfg) |
Output :
{0: 1/5, 1: 1/5, 2: 1/5, 3: 1/5, 4: 1/5}