1. Python
  2. sciPy function stats.tvar () | python

sciPy function stats.tvar () | python

This is the formula —

Parameters:
array: Input array or object having the elements to calculate the trimmed variance.
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.
inclusive: Decide whether to include the values ​​equal to lower or upper bound, or to exclude them while calculation.

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

Code # 1:

# Variance trimmed

 

from scipy import stats

import numpy as np 

 
# array elements in the range from 0 to 19

x = np.arange ( 20 )

 

print ( "Trimmed Variance:" , stats.tvar (x)) 

 

  

print ( " Trimmed Variance by setting limit: " , 

  stats.tvar (x, ( 2 , 10 )))

Output: 

 Trimmed Variance: 35.0 Trimmed Variance by setting limit: 7.5

Code # 2: Checking "enable" flags

# Variance trimmed

  

from scipy import stats

import numpy as np 

 
# array elements in the range from 0 to 19

x = np.arange ( 20 )

 
# Setting restrictions

print ( " Trimmed Variance by setting limit: " , 

  stats.tva r (x, ( 2 , 10 ))) 

 
# using the flag

print ( "Trimmed Variance by setting limit: " , 

  stats.tvar ( x, ( 2 , 10 ), ( False , True ))) 

 

print ( "Trimmed Variance by setting limit:" , 

stats.tvar (x, ( 2 , 12 ), ( True , False ))) 

Exit: 

 Trimmed Variance by setting limit: 7.5 Trimmed Variance by setting limit: 6.0 Trimmed Variance by setting limit: 9.16666666667