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sciPy function stats.tstd () | python

This is the formula —

Parameters:
array: Input array or object having the elements to calculate the trimmed standard deviation.
axis: Axis along which the trimmed standard deviation is to be computed. By default axis = 0.
limits: Lower and upper bound of the array to consider, values ​​less than the lower limit or greater than the upper limit will be ignored. If limits is None [default], then all values ​​are used.

Returns: Trimmed standard deviation of the array elements based on the set parameters.

Code # 1:

# Cropped standard deviation

 

from scipy import stats

import numpy as np 

 
# array elements in the range from 0 to 19

x = np.arange ( 20 )

 

print ( "Trimmed Standard Deviation:" , stats.tstd (x)) 

 

 

print ( "Trimmed Standard Deviation by setting limit: "

  stats. tstd (x, ( 2 , 10 )))

Output:

 Trimmed Standard Deviation: 5.9160797831 Trimmed Standard Deviation by setting limit: 2.73861278753 

Code # 2: with multidimensional data, the () axis works

# Cropped standard deviation

 

from scipy import stats

import numpy as np 

 

arr1 = [[ 1 , 3 , 27 ], 

[ 5 , 3 , 18 ], 

[ 17 , 16 , 333 ], 

[ 3 , 6 , 82 ]] 

 

 
# using axis = 0

print ( " Trimmed Standard Deviation is with default axis = 0: "

  stats.tstd (arr1, axis = 1 ))

Exit :

 Trimmed Standard Deviation is with default axis = 0: 94.0423824505 

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