numpy.random.poisson() in Python
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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