numpy.random.power() in Python
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() |
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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() |
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Output :
power plot
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