numpy.convolve(a, v, mode='full')
Note numpy.emath is a preferred alias for
numpy.ma.clump_masked(a)
numpy.polynomial.laguerre.laggrid3d(x, y, z, c)
numpy.polynomial.legendre.legadd(c1, c2)
classmethod Hermite.basis(deg, domain=None, window=None)
numpy.polynomial.chebyshev.chebvander(x, deg)
matrix.any(axis=None, out=None)
classmethod Hermite.fit(x, y, deg, domain=None, rcond=None, full=False, w=None, window=None)
recarray.strides Tuple of bytes to step in each dimension when traversing an array. The byte offset of element
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