sciPy stats.tmax() function | Python

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scipy.stats.tmax(array, lowerlimit=None, axis=0, inclusive=True) function calculates the trimmed maximum of the array elements along with ignoring the values lying outside the specified limits, along the specified axis.

Parameters :
array: Input array or object having the elements to calculate the trimmed maximum.
axis: Axis along which the statistics 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.
inclusive: Decide whether to include the values equal to lower or upper bound, or to exclude them while calculation.

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

Code #1:

# Trimmed Maximum  
   
from scipy import stats 
import numpy as np  
   
# array elements ranging from 0 to 19 
x = [1, 3, 27, 56, 2, 4, 13, 3, 6] 
    
print("Trimmed Maximum :", stats.tmax(x))  
   
   
print("\nTrimmed Maximum by setting limit : ",  
      stats.tmax(x, (5))) 

Output:

Trimmed Maximum : 56

Trimmed Maximum by setting limit :  4

Code #2: With multi-dimensional data

# Trimmed Maximum  
   
from scipy import stats 
import numpy as np  
   
# array elements ranging from 0 to 19 
x = [[1, 3, 27],  
        [3, 4, 7],  
        [7, 6, 3],  
        [3, 6, 8]] 
   
print("Trimmed Maximum :", stats.tmax(x))  
   
# setting axis 
print("\nTrimmed Maximum by setting axis : ",  
      stats.tmax(x, axis = 1)) 
   
print("\nTrimmed Maximum by setting axis : ",  
      stats.tmax(x, axis = 0)) 
   
# setting limit 
print("\nTrimmed Maximum by setting limit : ",  
      stats.tmax(x, (5), axis = 1)) 
   
   
print("\nTrimmed Maximum by setting limit : ",  
      stats.tmax(x, (5), axis = 0)) 

Output:

Trimmed Maximum : [ 7  6 27]

Trimmed Maximum by setting axis :  [27  7  7  8]

Trimmed Maximum by setting axis :  [ 7  6 27]

Trimmed Maximum by setting limit :  [3 4 3 3]

Trimmed Maximum by setting limit :  [3 4 3]