scipy.stats.tsem(array, limits=None, inclusive=(True, True)) calculates the trimmed standard error of the mean of array elements along the specified axis of the array.
Its formula :-
array: Input array or object having the elements to calculate the trimmed standard error of the mean.
axis: Axis along which the trimmed standard error of the 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 standard error of the mean of array elements based on the set parameters.
Trimmed Standard error : 1.32287565553 Trimmed Standard error by setting limit : 0.912870929175
Code #2: With multi-dimensional data, axis() working
Trimmed Standard error is with default axis = 0 : 27.1476974115
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