numpy.random.standard_t() in Python
Last Updated :
18 Aug, 2020
With the help of numpy.random.standard_t() method, we can get the random samples from standard T distribution having degree of freedom and return the random samples by using this method.
Standard T distribution
Syntax : numpy.random.standard_t(df, size=None) # Here df is degree of freedom.
Return : Return the random samples as numpy array.
Example #1 :
In this example we can see that by using numpy.random.standard_t() method, we are able to get the random samples of standard T distribution with degree of freedom and return the numpy array.
Python3
import numpy as np
import matplotlib.pyplot as plt
gfg = np.random.standard_t( 5 , 5000 )
plt.hist(gfg, bins = 50 , density = True )
plt.show()
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Output :
Example #2 :
Python3
import numpy as np
import matplotlib.pyplot as plt
gfg = np.random.standard_t( 7 , 10000 )
plt.hist(gfg, bins = 50 , density = True )
plt.show()
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Output :
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