generic.take() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API. See also The

MaskedArray.flat Flat version of the array.

generic.trace() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API. See also The

chararray.ndim Number of array dimensions. Examples >>> x = np.array([1, 2, 3]) >>> x.ndim 1 >>> y = np.zeros((2, 3, 4)) >>> y.ndim 3

recarray.view(dtype=None, type=None) New view of array with the same data. Parameters: dtype : data-type or ndarray sub-class, optional Data-type descriptor of the returned view, e.g., float32 or int16. The default, None, results in the view having the same data-type as a. This argument can also be specified as an ndarray sub-class, which then specifies the type of the returned object (this is equivalent to setting the type parameter). type : Python type, optional Type of the returned v

ndarray.__int__() <==> int(x)

numpy.polysub(a1, a2) [source] Difference (subtraction) of two polynomials. Given two polynomials a1 and a2, returns a1 - a2. a1 and a2 can be either array_like sequences of the polynomials? coefficients (including coefficients equal to zero), or poly1d objects. Parameters: a1, a2 : array_like or poly1d Minuend and subtrahend polynomials, respectively. Returns: out : ndarray or poly1d Array or poly1d object of the difference polynomial?s coefficients. See also polyval, polydiv, pol

generic.reshape() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemented, all the attributes of the ndarray class so as to provide a uniform API. See also The

ndarray.__neg__ x.__neg__() <==> -x

numpy.polynomial.chebyshev.chebone = array([1])