With the help of numpy.random.power() method, we can get the random samples from power distribution and return the random samples by using this method.
Syntax : numpy.random.power(a, size=None)
Return : Return the random samples as numpy array.
Example #1 :
In this example we can see that by using numpy.random.power() method, we are able to get the random samples from power distribution and return the random samples.
Python3
# import numpy import numpy as np import matplotlib.pyplot as plt # Using power() method gfg = np.random.power( 1.75 , 1000 ) plt.figure() 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 power() method gfg = np.random.power( 6.75 , 500 ) plt.figure() plt.hist(gfg, bins = 50 , density = True ) plt.show() |
Output :