numpy.random.weibull() in Python
With the help of numpy.random.weibull() method, we can get the random samples from weibull distribution and return the random samples as numpy array by using this method.
Syntax : numpy.random.weibull(a, size=None)
Return : Return the random samples as numpy array.
Example #1 :
In this example we can see that by using numpy.random.weibull() method, we are able to get the random samples from weibull distribution and return the numpy array.
Python3
# import numpy import numpy as np import matplotlib.pyplot as plt # Using weibull() method gfg = np.random.weibull( 5 , 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 weibull() method gfg = np.random.weibull( 6.78 , 10000 ) plt.hist(gfg, bins = 100 , density = True ) plt.show() |
Output :