numpy.convolve(a, v, mode='full')
numpy.interp(x, xp, fp, left=None, right=None, period=None)
numpy.minimum(x1, x2[, out]) = Element-wise minimum of array elements. Compare two arrays and returns a new array containing
numpy.diff(a, n=1, axis=-1)
numpy.trapz(y, x=None, dx=1.0, axis=-1)
numpy.round_(a, decimals=0, out=None)
numpy.i0(x)
numpy.nansum(a, axis=None, dtype=None, out=None, keepdims=0)
numpy.gradient(f, *varargs, **kwargs)
numpy.remainder(x1, x2[, out]) = Return element-wise remainder of division. Computes the remainder complementary to the
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