import numpy as np
import matplotlib.pyplot as plt
from random import random
def uniforme(a,b):
    return(a+(b-a)*random())
def densuni(x,a,b):
    #densité sur [a,b]
    if (a<=x and x<=b):
        return(1/(b-a))
    else:
        return(0)
def graph_uniforme(a,b):
    abs=np.linspace(a-(b-a),b+(b-a),200)
    y=[densuni(x,a,b) for x in abs]
    plt.grid()
    plt.plot(abs,y)
    plt.show()