sciPy stats.tstd() function | Python
scipy.stats.tstd(array, limits=None, inclusive=(True, True)) calculates the trimmed standard deviation of the array elements along the specified axis of the array.
It’s formula –
array: Input array or object having the elements to calculate the trimmed standard deviation.
axis: Axis along which the trimmed standard deviation 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 deviation of the array elements based on the set parameters.
Trimmed Standard Deviation : 5.9160797831 Trimmed Standard Deviation by setting limit : 2.73861278753
Code #2: With multi-dimensional data, axis() working
Trimmed Standard Deviation is with default axis = 0 : 94.0423824505
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