numpy.pad(array, pad_width, mode, **kwargs)

MaskedArray.astype(newtype)

MaskedArray.__irshift__ x.__irshift__(y) <==> x>>=y

dtype.hasobject Boolean indicating whether this dtype contains any reference-counted objects in any fields or sub-dtypes

generic.astype() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and

matrix.min(axis=None, out=None)

numpy.arange([start, ]stop, [step, ]dtype=None) Return evenly spaced values within a given interval. Values are generated

numpy.polynomial.polynomial.polyvander2d(x, y, deg)

numpy.subtract(x1, x2[, out]) = Subtract arguments, element-wise.

Polynomial.degree()