MaskedArray.__setmask__(mask, copy=False)

numpy.triu(m, k=0)

numpy.random.geometric(p, size=None) Draw samples from the geometric distribution. Bernoulli trials are experiments

class numpy.memmap

numpy.equal(x1, x2[, out]) = Return (x1 == x2) element-wise.

numpy.ma.outerproduct(a, b)

static MaskedArray.__new__(data=None, mask=False, dtype=None, copy=False, subok=True, ndmin=0, fill_value=None, keep_mask=True

numpy.gradient(f, *varargs, **kwargs)

numpy.correlate(a, v, mode='valid')

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