scipy stats.tmin () function | python

NumPy | Python Methods and Functions

scipy.stats.tmin (array, lowerlimit = None, axis = 0, inclusive = True) calculates the truncated minimum of array elements, and also ignores values lying outside specified limits, along a specified axis.

Parameters:
array: Input array or object having the elements to calculate the minimum .
axis: [Default is zero] Input array or object having the elements to calculate the minimum.
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: Geometric mean of the array elements based on the set parameters.

Code # 1:

# Low cut

from scipy import stats

   import   numpy as np 
   
  # array elements in the range from 0 to 19  
   x   =   [  1  ,   3  ,   27  ,   56  ,   2  ,   4  ,   13  ,   3  ,   6  ] 
   
   print   (  "Trimmed Minimum:"  , stats.tmin (x)) 
   
   
   print   ( " Trimmed Minimum by setting limit: " , 
     stats.tmin (x, (  5  )) )

Exit:

 Trimmed Minimum : 1 Trimmed Minimum by setting limit: 6

Code # 2: Check various parameters

       # Cropped minimum  
   
   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 Minimum:"  , stats.tmin (x)) 
    
  # setting the axis  
   print   ( " Trimmed Minimum by setting axis: " , 
    stats.tmin (x, axis   =   1  )) 
   
   print   (  "Trimmed Minimum by setting axis:"   , 
    stats.tmin (x, axis   =   0  )) 
    
  # mouth Limit setting  
   print   (  "Trimmed Minimum by setting limit: " , 
     stats.tmin (x, (  5  ), axis   =   1  )) 
    
  
   print   (  "Trimmed Minimum by setting limit:"  , 
     stats.tmin (x, (  5  ), axis   =   0  ))

Exit:

 Trimmed M inimum: [1 3 3] Trimmed Minimum by setting axis: [1 3 3 3] Trimmed Minimum by setting axis: [1 3 3] Trimmed Minimum by setting limit: [27 7 6 6] Trimmed Minimum by setting limit: [7 6 7]

scipy stats.tmin () function | python

Books for developers

Data Science from Scratch. First Principles with Python

Google BigQuery The Definitive Guide

Gamification: Concepts, Methodologies, Tools, and Applications

INTRODUCTION TO NUMERICAL PROGRAMMING

Submit new EBook