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

MaskedArray.__imod__ x.__imod__(y) <==> x%=y

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)

ndarray.min(axis=None, out=None, keepdims=False) Return the minimum along a given axis. Refer to

recarray.strides Tuple of bytes to step in each dimension when traversing an array. The byte offset of element

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