numpy.random.uniform() in Python
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 :
