MaskedArray.dtype Data-type of the array?s elements.

MaskedArray.round(decimals=0, out=None)

numpy.ma.squeeze(a, axis=None)

numpy.polynomial.hermite.hermone = array([1])

numpy.polynomial.hermite_e.hermepow(c, pow, maxpower=16)

ndarray.__copy__([order]) Return a copy of the array.

numpy.polynomial.laguerre.lagpow(c, pow, maxpower=16)

ndarray.std(axis=None, dtype=None, out=None, ddof=0, keepdims=False) Returns the standard deviation of the array elements along

numpy.i0(x)

numpy.polynomial.hermite_e.hermecompanion(c)