recarray.var(axis=None, dtype=None, out=None, ddof=0, keepdims=False) Returns the variance of the array elements, along given

DataSource.abspath(path)

numpy.lookfor(what, module=None, import_modules=True, regenerate=False, output=None)

numpy.polynomial.hermite_e.hermeint(c, m=1, k=[], lbnd=0, scl=1, axis=0)

numpy.log(x[, out]) = Natural logarithm, element-wise. The natural logarithm

numpy.polynomial.hermite.hermpow(c, pow, maxpower=16)

Various windows

numpy.random.triangular(left, mode, right, size=None) Draw samples from the triangular distribution. The triangular

numpy.frombuffer(buffer, dtype=float, count=-1, offset=0) Interpret a buffer as a 1-dimensional array.

matrix.byteswap(inplace) Swap the bytes of the array elements Toggle between low-endian and big-endian data representation