Skip to content
Related Articles

Related Articles

Improve Article

numpy.random.power() in Python

  • Last Updated : 15 Jul, 2020

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.

power distribution

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 :

power plot

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 :

power plot

 Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.  

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course




My Personal Notes arrow_drop_up
Recommended Articles
Page :