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:
# Trimmed Minimum   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 Minimum :", stats.tmin(x))     print("\nTrimmed Minimum by setting limit : ",       stats.tmin(x, (5))) |
Trimmed Minimum : 1 Trimmed Minimum by setting limit : 6
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Code #2: Checking different parameters
# Trimmed 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 axis print("\nTrimmed Minimum by setting axis : ",       stats.tmin(x, axis = 1))   print("\nTrimmed Minimum by setting axis : ",       stats.tmin(x, axis = 0))   # setting limit print("\nTrimmed Minimum by setting limit : ",       stats.tmin(x, (5), axis = 1))     print("\nTrimmed Minimum by setting limit : ",       stats.tmin(x, (5), axis = 0)) |
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]
