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numpy.random.poisson() in Python

  • Last Updated : 15 Jul, 2020
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With the help of numpy.random.poisson() method, we can get the random samples from poisson distribution and return the random samples by using this method.

poisson distribution

Syntax : numpy.random.poisson(lam=1.0, size=None)

Return : Return the random samples as numpy array.

Example #1 :

In this example we can see that by using this numpy.random.poisson() method, we are able to get the random samples from poisson distribution by using this method.



Python3




# import numpy
import numpy as np
import matplotlib.pyplot as plt
  
# Using poisson() method
gfg = np.random.poisson(10, 1000)
  
count, bins, ignored = plt.hist(gfg, 14, density = True)
plt.show()

Output :

Example #2 :

Python3




# import numpy
import numpy as np
import matplotlib.pyplot as plt
  
# Using poisson() method
gfg = np.random.poisson(4.5, 500)
  
count, bins, ignored = plt.hist(gfg, 14, density = True)
plt.show()

Output :

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