This is the formula —
Parameters: array: Input array or object having the elements to calculate the trimmed mean . axis: Axis along which the trimmed mean 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.
Returns: Trimmed mean of the array elements based on the set parameters.
Code # 1:
# Truncated mean
from scipy import stats
import numpy as np
# array elements in the range from 0 to 19
x = np.arange ( 20 )
print ( "Trimmed Mean:" , stats.t mean (x))
print ( "Trimmed Mean by setting limit:" ,
stats.t mean (x, ( 2 , 10 )))
Exit:
Trimmed Mean: 9.5 Trimmed Mean by setting limit: 6.0 Code # 2: with multidimensional data, the () axis works
# Truncated mean
from scipy import stats
import numpy as np
arr1 = [[ 1 , 3 , 27 ],
[ 5 , 3 , 18 ],
[ 17 , 16 , 333 ],
[ 3 , 6 , 82 ]]
# using axis = 0
print ( "Trimmed Mean is with default axis = 0:" ,
stats.t mean (arr1, axis = 1 ))
Exit:
Trimmed Mean is with default axis = 0: 42.8333333333
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