numpy.random.standard_exponential() in Python
Last Updated :
18 Aug, 2020
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With the help of numpy.random.standard_exponential() method, we can get the random samples of standard exponential distribution and return the random samples.
Syntax : numpy.random.standard_exponential(size=None)
Return : Return the random samples as numpy array.
Example #1 :
In this example we can see that by using numpy.random.standard_exponential() method, we are able to get the random samples from standard exponential distribution and return the random samples.
- Python3
Python3
# import numpy import numpy as np import matplotlib.pyplot as plt # Using standard_exponential() method gfg = np.random.standard_exponential(5000) plt.hist(gfg, bins = 50, density = True) plt.show() |
Output :
Example #2 :
- Python3
Python3
# import numpy import numpy as np import matplotlib.pyplot as plt # Using standard_exponential() method gfg = np.random.standard_exponential(10000) plt.hist(gfg, bins = 100, density = True) plt.show() |
Output :
