With the help of numpy.random.zipf() method, we can get the random samples from zipf distribution and return the random samples as numpy array by using this method.
Syntax : numpy.random.zipf(a, size=None)
Return : Return the random samples as numpy array.
Example #1 :
In this example we can see that by using numpy.random.zipf() method, we are able to get the random samples from zipf distribution and return the random samples as numpy array.
Python3
# import numpy import numpy as np
import matplotlib.pyplot as plt
# Using zipf() method gfg = np.random.zipf( 2.7 , 5000 )
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 zipf() method gfg = np.random.zipf( 4 , 10000 )
plt.hist(gfg, bins = 50 , density = True )
plt.show() |
Output :