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numpy.random.power() in Python

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  • Last Updated : 15 Jul, 2020
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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


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