sciPy stats.tstd() function | Python

scipy.stats.tstd(array, limits=None, inclusive=(True, True)) calculates the trimmed standard deviation of the array elements along the specified axis of the array.

It’s 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:



filter_none

edit
close

play_arrow

link
brightness_4
code

# Trimmed Standard Deviation 
   
from scipy import stats
import numpy as np 
   
# array elements ranging from 0 to 19
x = np.arange(20)
    
print("Trimmed Standard Deviation :", stats.tstd(x)) 
   
   
print("\nTrimmed Standard Deviation by setting limit : "
      stats.tstd(x, (2, 10)))

chevron_right


Output:

Trimmed Standard Deviation : 5.9160797831

Trimmed Standard Deviation by setting limit :  2.73861278753

 
Code #2: With multi-dimensional data, axis() working

filter_none

edit
close

play_arrow

link
brightness_4
code

# Trimmed 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 : \n"
      stats.tstd(arr1, axis = 1))

chevron_right


Output:

Trimmed Standard Deviation is with default axis = 0 : 
 94.0423824505

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.




My Personal Notes arrow_drop_up

Check out this Author's contributed articles.

If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.