numpy.ma.var(self, axis=None, dtype=None, out=None, ddof=0) = Compute the variance along the specified axis. Returns the variance

chararray.count(sub, start=0, end=None)

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

chararray.T Same as self.transpose(), except that self is returned if self.ndim < 2.

numpy.source(object, output=', mode 'w' at 0x402ae078>)

numpy.sort_complex(a)

numpy.polynomial.hermite_e.hermediv(c1, c2)

numpy.trim_zeros(filt, trim='fb')

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

Arrayterator.shape The shape of the array to be iterated over. For an example, see