scipy stats.tmin() function | Python
Last Updated :
07 Feb, 2019
scipy.stats.tmin(array, lowerlimit=None, axis=0, inclusive=True)
function calculates the trimmed minimum 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 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:
from scipy import stats
import numpy as np
x = [ 1 , 3 , 27 , 56 , 2 , 4 , 13 , 3 , 6 ]
print ( "Trimmed Minimum :" , stats.tmin(x))
print ( "\nTrimmed Minimum by setting limit : " ,
stats.tmin(x, ( 5 )))
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Output:
Trimmed Minimum : 1
Trimmed Minimum by setting limit : 6
Code #2: Checking different parameters
from scipy import stats
import numpy as np
x = [[ 1 , 3 , 27 ],
[ 3 , 4 , 7 ],
[ 7 , 6 , 3 ],
[ 3 , 6 , 8 ]]
print ( "Trimmed Minimum :" , stats.tmin(x))
print ( "\nTrimmed Minimum by setting axis : " ,
stats.tmin(x, axis = 1 ))
print ( "\nTrimmed Minimum by setting axis : " ,
stats.tmin(x, axis = 0 ))
print ( "\nTrimmed Minimum by setting limit : " ,
stats.tmin(x, ( 5 ), axis = 1 ))
print ( "\nTrimmed Minimum by setting limit : " ,
stats.tmin(x, ( 5 ), axis = 0 ))
|
Output:
Trimmed Minimum : [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]
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