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 numpy import numpy as np
import matplotlib.pyplot as plt
# Using uniform() method gfg = np.random.uniform(-5, 5, 5000)
plt.hist(gfg, bins = 50, density = True)
plt.show() |
Output :
Example #2 :
Python3
# import numpy import numpy as np
import matplotlib.pyplot as plt
# Using uniform() method gfg = np.random.uniform(2.1, 5.5, 10000)
plt.hist(gfg, bins = 100, density = True)
plt.show() |
Output :