With the help of numpy.random.uniform() method, we can get the random samples from uniform distribution and returns the random samples as numpy array by using this method.
Uniform distribution
Syntax : numpy.random.uniform(low=0.0, high=1.0, size=None)
Return : Return the random samples as numpy array.
Example #1 :
In this example we can see that by using numpy.random.uniform() method, we are able to get the random samples from uniform distribution and return the random samples.
Python3
# import numpyimport numpy as npimport matplotlib.pyplot as plt # Using uniform() methodgfg = np.random.uniform(-5, 5, 5000) plt.hist(gfg, bins = 50, density = True)plt.show() |
Output :
Example #2 :
Python3
# import numpyimport numpy as npimport matplotlib.pyplot as plt # Using uniform() methodgfg = np.random.uniform(2.1, 5.5, 10000) plt.hist(gfg, bins = 100, density = True)plt.show() |
Output :
