On numpy.pad(array, pad_width, mode, **kwargs)
Virgil Stokes <[email protected]>
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One mode of padding is 'mean'. However, it does not return the actual mean of the array --- it returns the rounded value of the mean!
example:
a = np.array([1, 2, -1, 4, -3])
np.mean(a) = 0.6
np.pad(a, (2,), 'mean') = [ 1 1 1 2 -1 4 -3 1 1]
The documentation that I found at: https://docs.scipy.org/doc/numpy/reference/generated/numpy.pad.html
shows:
‘mean’ - Pads with the mean value of all or part of the vector along each axis.
It actually Pads with the rounded mean value. IMHO it should return the "float_" value. If the SciPy team does not agree, then the documentation should be changed to show what it actually returns.
--V
IMHO it should
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