generic.shape tuple of array dimensions

recarray.compress(condition, axis=None, out=None) Return selected slices of this array along given axis. Refer

MaskedArray.copy(order='C')

numpy.random.logistic(loc=0.0, scale=1.0, size=None) Draw samples from a logistic distribution. Samples are drawn

numpy.polynomial.hermite.poly2herm(pol)

numpy.ma.make_mask(m, copy=False, shrink=True, dtype=)

MaskedArray.__long__() <==> long(x)

numpy.sctype2char(sctype)

RandomState.geometric(p, size=None) Draw samples from the geometric distribution. Bernoulli trials

Polynomials in NumPy can be created, manipulated, and even fitted using the