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