将一下代码改为python代码：x1=1027219355 1022144335 1019225 1017117204 100971371 1005694167 1003922581 1006024194 1011334167 1018209677 1023169167 1023329839;x2=1029851613 1024994212 1022362097 1020138656 101188

x1=[1027.219355, 1022.144335, 1019.225, 1017.117204, 1009.71371, 1005.694167, 1003.922581, 1006.024194, 1011.334167, 1018.209677, 1023.169167, 1023.329839] x2=[1029.851613, 1024.994212, 1022.362097, 1020.138656, 1011.883065, 1007.386667, 1005.583871, 1007.737903, 1013.0475, 1020.187903, 1025.4, 1026.137097] x3=[1024.479839, 1019.114224, 1015.984677, 1014.057016, 1007.360484, 1003.870833, 1002.137097, 1004.26129, 1009.635, 1016.358065, 1020.9125, 1020.609677] x4=[3.758064516, 6.739347291, 10.3483871, 13.38163978, 21.58629032, 24.47416667, 29.1483871, 28.88709677, 24.78, 19.43629032, 12.16666667, 6.805645161] x5=[7.604032258, 10.88574507, 14.79516129, 17.80930108, 26.73790323, 28.3075, 33.26532258, 32.88225806, 28.54333333, 23.58870968, 16.5825, 11.01854839] x8=[51.00806452, 51.95720443, 46.39516129, 46.12258065, 40.21774194, 58.58333333, 55.35483871, 56.19354839, 60.14166667, 50.54032258, 48.91666667, 46.97580645] x9=[3860.356608, 6888.585655, 10547.33484, 13610.69605, 21795.97328, 24613.52665, 29262.724, 29061.11824, 25060.86065, 19790.2189, 12448.55819, 6964.419765] y=[1348.25, 1256.25, 1373, 1346, 1400.5, 1232.5, 1300, 1295.75, 1241, 1330.5, 1205, 1142.5] x = [[1] + i for i in zip(x1, x2, x3, x4, x5, x8, x9)] b, bint, r, rint, stats = np.linalg.lstsq(x, y, rcond=None) rcoplot(r, rint