我们从Python开源项目中，提取了以下8个代码示例，用于说明如何使用numpy.sort_complex()。
def sort_complex(a): """ Sort a complex array using the real part first, then the imaginary part. Parameters ---------- a : array_like Input array Returns ------- out : complex ndarray Always returns a sorted complex array. Examples -------- >>> np.sort_complex([5, 3, 6, 2, 1]) array([ 1.+0.j, 2.+0.j, 3.+0.j, 5.+0.j, 6.+0.j]) >>> np.sort_complex([1 + 2j, 2 - 1j, 3 - 2j, 3 - 3j, 3 + 5j]) array([ 1.+2.j, 2.-1.j, 3.-3.j, 3.-2.j, 3.+5.j]) """ b = array(a, copy=True) b.sort() if not issubclass(b.dtype.type, _nx.complexfloating): if b.dtype.char in 'bhBH': return b.astype('F') elif b.dtype.char == 'g': return b.astype('G') else: return b.astype('D') else: return b
def edist(p0, p1 = V(0, 0), sqpow = 0.5): (x1, y1, x2, y2) = (p0[0], p0[1], p1[0], p1[1]); return ( ((x1 - x2) ** 2) + ((y1 - y2) ** 2) ) ** sqpow; ##def ## sort_points_complex # Sorts a list of 2D points, or tuples, using the numpy sort_complex routine # @param points_list A list of 2D points # @return A sorted list containing the original points # sorted first with respect to the first coordinates, then # with respect to the second ##
def sort_points_complex(points_list): complex_points = []; for p in points_list: x, y = p[0], p[1]; cp = np.complex(x, y); complex_points.append(cp); ## for complex_points = list(np.sort_complex(complex_points)); points_list = []; for cp in complex_points: re, im = real_part(cp), imag_part(cp); points_list.append(vector([re, im])); ## for return points_list; ## def ## sort_points_1D # Sorts a list of one-dimensional (i.e., no tuples) elements # @param points_list A list of 1D elements to be sorted # @param sort_by_ycoords Always ignored # @return A sorted list of the elements ##
