knn 分类
博客专区 > marjey 的博客 > 博客详情
knn 分类
marjey 发表于3个月前
knn 分类
  • 发表于 3个月前
  • 阅读 1
  • 收藏 0
  • 点赞 0
  • 评论 0

腾讯云 学生专属云服务套餐 10元起购>>>   

"""
knn 预测
"""
import pandas as pd
import numpy as np
import matplotlib
from matplotlib.patches import Rectangle
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsClassifier
from sklearn.preprocessing import MinMaxScaler


def load_data():
    """
    加载数据
    :return:
    """
    data = pd.read_csv('./datingTestSet2.txt', delimiter='\t',
                       header=None, names=['A', 'B', 'C', 'label'])
    return data


def get_trained_model(data):
    """
    训练模型
    :param data:
    :return:
    """
    y = data.drop(['A', 'B', 'C'], axis=1)
    X = data.drop(['label'], axis=1)
    X_train, X_test, y_train, y_test = train_test_split(X, y, train_size=0.7,
                                                        test_size=0.3)
    for i in range(1, 120):
        neigh = KNeighborsClassifier(n_neighbors=i)
        neigh.fit(X_train, y_train)
        y_tmp = neigh.predict(X_test)
        a = (y_tmp.T == y_test.values.T)
        accuracy = np.mean(a) * 100
        print("当n_neighbors = "
              + str(i) + "预测正确率 {0:.1f}%".format(accuracy))


def data_normalize(data):
    """
    数据规范化
    :param data:
    :return:
    """
    tmp_label = data['label']
    tmp_data = MinMaxScaler().fit_transform(data)
    data = pd.DataFrame(tmp_data, columns=['A', 'B', 'C', 'label'])
    data['label'] = tmp_label
    return data


def cross_validation(data):
    """
    交叉验证
    :param data:
    :return:
    """
    from sklearn.model_selection import cross_val_score
    y = data.drop(['A', 'B', 'C'], axis=1).values
    X = data.drop(['label'], axis=1).values
    X = X.reshape(1000, 3)
    y = y.reshape(1000, )
    avg_scores = []
    all_scores = []
    parameter_values = list(range(1, 210))  # Include 20
    for n_neighbors in parameter_values:
        estimator = KNeighborsClassifier(n_neighbors=n_neighbors)
        scores = cross_val_score(estimator, X, y, scoring='accuracy')
        avg_scores.append(np.mean(scores))
        all_scores.append(scores)
    from matplotlib import pyplot as plt
    plt.plot(parameter_values,
             avg_scores, '-o')
    plt.show()


if __name__ == '__main__':
    data = load_data()
    data = data_normalize(data)
    get_trained_model(data)
    cross_validation(data)

 

 

40920   8.326976   0.953952   3
14488  7.153469   1.673904   2
26052  1.441871   0.805124   1
75136  13.147394  0.428964   1
38344  1.669788   0.134296   1
72993  10.141740  1.032955   1
35948  6.830792   1.213192   3
42666  13.276369  0.543880   3
67497  8.631577   0.749278   1
35483  12.273169  1.508053   3
50242  3.723498   0.831917   1
63275  8.385879   1.669485   1
5569   4.875435   0.728658   2
51052  4.680098   0.625224   1
77372  15.299570  0.331351   1
43673  1.889461   0.191283   1
61364  7.516754   1.269164   1
69673  14.239195  0.261333   1
15669  0.000000   1.250185   2
28488  10.528555  1.304844   3
6487   3.540265   0.822483   2
37708  2.991551   0.833920   1
22620  5.297865   0.638306   2
28782  6.593803   0.187108   3
19739  2.816760   1.686209   2
36788  12.458258  0.649617   3
5741   0.000000   1.656418   2
28567  9.968648   0.731232   3
6808   1.364838   0.640103   2
41611  0.230453   1.151996   1
36661  11.865402  0.882810   3
43605  0.120460   1.352013   1
15360  8.545204   1.340429   3
63796  5.856649   0.160006   1
10743  9.665618   0.778626   2
70808  9.778763   1.084103   1
72011  4.932976   0.632026   1
5914   2.216246   0.587095   2
14851  14.305636  0.632317   3
33553  12.591889  0.686581   3
44952  3.424649   1.004504   1
17934  0.000000   0.147573   2
27738  8.533823   0.205324   3
29290  9.829528   0.238620   3
42330  11.492186  0.263499   3
36429  3.570968   0.832254   1
39623  1.771228   0.207612   1
32404  3.513921   0.991854   1
27268  4.398172   0.975024   1
5477   4.276823   1.174874   2
14254  5.946014   1.614244   2
68613  13.798970  0.724375   1
41539  10.393591  1.663724   3
7917   3.007577   0.297302   2
21331  1.031938   0.486174   2
8338   4.751212   0.064693   2
5176   3.692269   1.655113   2
18983  10.448091  0.267652   3
68837  10.585786  0.329557   1
13438  1.604501   0.069064   2
48849  3.679497   0.961466   1
12285  3.795146   0.696694   2
7826   2.531885   1.659173   2
5565   9.733340   0.977746   2
10346  6.093067   1.413798   2
1823   7.712960   1.054927   2
9744   11.470364  0.760461   3
16857  2.886529   0.934416   2
39336  10.054373  1.138351   3
65230  9.972470   0.881876   1
2463   2.335785   1.366145   2
27353  11.375155  1.528626   3
16191  0.000000   0.605619   2
12258  4.126787   0.357501   2
42377  6.319522   1.058602   1
25607  8.680527   0.086955   3
77450  14.856391  1.129823   1
58732  2.454285   0.222380   1
46426  7.292202   0.548607   3
32688  8.745137   0.857348   3
64890  8.579001   0.683048   1
8554   2.507302   0.869177   2
28861  11.415476  1.505466   3
42050  4.838540   1.680892   1
32193  10.339507  0.583646   3
64895  6.573742   1.151433   1
2355   6.539397   0.462065   2
0  2.209159   0.723567   2
70406  11.196378  0.836326   1
57399  4.229595   0.128253   1
41732  9.505944   0.005273   3
11429  8.652725   1.348934   3
75270  17.101108  0.490712   1
5459   7.871839   0.717662   2
73520  8.262131   1.361646   1
40279  9.015635   1.658555   3
21540  9.215351   0.806762   3
17694  6.375007   0.033678   2
22329  2.262014   1.022169   1
46570  5.677110   0.709469   1
42403  11.293017  0.207976   3
33654  6.590043   1.353117   1
9171   4.711960   0.194167   2
28122  8.768099   1.108041   3
34095  11.502519  0.545097   3
1774   4.682812   0.578112   2
40131  12.446578  0.300754   3
13994  12.908384  1.657722   3
77064  12.601108  0.974527   1
11210  3.929456   0.025466   2
6122   9.751503   1.182050   3
15341  3.043767   0.888168   2
44373  4.391522   0.807100   1
28454  11.695276  0.679015   3
63771  7.879742   0.154263   1
9217   5.613163   0.933632   2
69076  9.140172   0.851300   1
24489  4.258644   0.206892   1
16871  6.799831   1.221171   2
39776  8.752758   0.484418   3
5901   1.123033   1.180352   2
40987  10.833248  1.585426   3
7479   3.051618   0.026781   2
38768  5.308409   0.030683   3
4933   1.841792   0.028099   2
32311  2.261978   1.605603   1
26501  11.573696  1.061347   3
37433  8.038764   1.083910   3
23503  10.734007  0.103715   3
68607  9.661909   0.350772   1
27742  9.005850   0.548737   3
11303  0.000000   0.539131   2
0  5.757140   1.062373   2
32729  9.164656   1.624565   3
24619  1.318340   1.436243   1
42414  14.075597  0.695934   3
20210  10.107550  1.308398   3
33225  7.960293   1.219760   3
54483  6.317292   0.018209   1
18475  12.664194  0.595653   3
33926  2.906644   0.581657   1
43865  2.388241   0.913938   1
26547  6.024471   0.486215   3
44404  7.226764   1.255329   3
16674  4.183997   1.275290   2
8123   11.850211  1.096981   3
42747  11.661797  1.167935   3
56054  3.574967   0.494666   1
10933  0.000000   0.107475   2
18121  7.937657   0.904799   3
11272  3.365027   1.014085   2
16297  0.000000   0.367491   2
28168  13.860672  1.293270   3
40963  10.306714  1.211594   3
31685  7.228002   0.670670   3
55164  4.508740   1.036192   1
17595  0.366328   0.163652   2
1862   3.299444   0.575152   2
57087  0.573287   0.607915   1
63082  9.183738   0.012280   1
51213  7.842646   1.060636   3
6487   4.750964   0.558240   2
4805   11.438702  1.556334   3
30302  8.243063   1.122768   3
68680  7.949017   0.271865   1
17591  7.875477   0.227085   2
74391  9.569087   0.364856   1
37217  7.750103   0.869094   3
42814  0.000000   1.515293   1
14738  3.396030   0.633977   2
19896  11.916091  0.025294   3
14673  0.460758   0.689586   2
32011  13.087566  0.476002   3
58736  4.589016   1.672600   1
54744  8.397217   1.534103   1
29482  5.562772   1.689388   1
27698  10.905159  0.619091   3
11443  1.311441   1.169887   2
56117  10.647170  0.980141   3
39514  0.000000   0.481918   1
26627  8.503025   0.830861   3
16525  0.436880   1.395314   2
24368  6.127867   1.102179   1
22160  12.112492  0.359680   3
6030   1.264968   1.141582   2
6468   6.067568   1.327047   2
22945  8.010964   1.681648   3
18520  3.791084   0.304072   2
34914  11.773195  1.262621   3
6121   8.339588   1.443357   2
38063  2.563092   1.464013   1
23410  5.954216   0.953782   1
35073  9.288374   0.767318   3
52914  3.976796   1.043109   1
16801  8.585227   1.455708   3
9533   1.271946   0.796506   2
16721  0.000000   0.242778   2
5832   0.000000   0.089749   2
44591  11.521298  0.300860   3
10143  1.139447   0.415373   2
21609  5.699090   1.391892   2
23817  2.449378   1.322560   1
15640  0.000000   1.228380   2
8847   3.168365   0.053993   2
50939  10.428610  1.126257   3
28521  2.943070   1.446816   1
32901  10.441348  0.975283   3
42850  12.478764  1.628726   3
13499  5.856902   0.363883   2
40345  2.476420   0.096075   1
43547  1.826637   0.811457   1
70758  4.324451   0.328235   1
19780  1.376085   1.178359   2
44484  5.342462   0.394527   1
54462  11.835521  0.693301   3
20085  12.423687  1.424264   3
42291  12.161273  0.071131   3
47550  8.148360   1.649194   3
11938  1.531067   1.549756   2
40699  3.200912   0.309679   1
70908  8.862691   0.530506   1
73989  6.370551   0.369350   1
11872  2.468841   0.145060   2
48463  11.054212  0.141508   3
15987  2.037080   0.715243   2
70036  13.364030  0.549972   1
32967  10.249135  0.192735   3
63249  10.464252  1.669767   1
42795  9.424574   0.013725   3
14459  4.458902   0.268444   2
19973  0.000000   0.575976   2
5494   9.686082   1.029808   3
67902  13.649402  1.052618   1
25621  13.181148  0.273014   3
27545  3.877472   0.401600   1
58656  1.413952   0.451380   1
7327   4.248986   1.430249   2
64555  8.779183   0.845947   1
8998   4.156252   0.097109   2
11752  5.580018   0.158401   2
76319  15.040440  1.366898   1
27665  12.793870  1.307323   3
67417  3.254877   0.669546   1
21808  10.725607  0.588588   3
15326  8.256473   0.765891   2
20057  8.033892   1.618562   3
79341  10.702532  0.204792   1
15636  5.062996   1.132555   2
35602  10.772286  0.668721   3
28544  1.892354   0.837028   1
57663  1.019966   0.372320   1
78727  15.546043  0.729742   1
68255  11.638205  0.409125   1
14964  3.427886   0.975616   2
21835  11.246174  1.475586   3
7487   0.000000   0.645045   2
8700   0.000000   1.424017   2
26226  8.242553   0.279069   3
65899  8.700060   0.101807   1
6543   0.812344   0.260334   2
46556  2.448235   1.176829   1
71038  13.230078  0.616147   1
47657  0.236133   0.340840   1
19600  11.155826  0.335131   3
37422  11.029636  0.505769   3
1363   2.901181   1.646633   2
26535  3.924594   1.143120   1
47707  2.524806   1.292848   1
38055  3.527474   1.449158   1
6286   3.384281   0.889268   2
10747  0.000000   1.107592   2
44883  11.898890  0.406441   3
56823  3.529892   1.375844   1
68086  11.442677  0.696919   1
70242  10.308145  0.422722   1
11409  8.540529   0.727373   2
67671  7.156949   1.691682   1
61238  0.720675   0.847574   1
17774  0.229405   1.038603   2
53376  3.399331   0.077501   1
30930  6.157239   0.580133   1
28987  1.239698   0.719989   1
13655  6.036854   0.016548   2
7227   5.258665   0.933722   2
40409  12.393001  1.571281   3
13605  9.627613   0.935842   2
26400  11.130453  0.597610   3
13491  8.842595   0.349768   3
30232  10.690010  1.456595   3
43253  5.714718   1.674780   3
55536  3.052505   1.335804   1
8807   0.000000   0.059025   2
25783  9.945307   1.287952   3
22812  2.719723   1.142148   1
77826  11.154055  1.608486   1
38172  2.687918   0.660836   1
31676  10.037847  0.962245   3
74038  12.404762  1.112080   1
44738  10.237305  0.633422   3
17410  4.745392   0.662520   2
5688   4.639461   1.569431   2
36642  3.149310   0.639669   1
29956  13.406875  1.639194   3
60350  6.068668   0.881241   1
23758  9.477022   0.899002   3
25780  3.897620   0.560201   2
11342  5.463615   1.203677   2
36109  3.369267   1.575043   1
14292  5.234562   0.825954   2
11160  0.000000   0.722170   2
23762  12.979069  0.504068   3
39567  5.376564   0.557476   1
25647  13.527910  1.586732   3
14814  2.196889   0.784587   2
73590  10.691748  0.007509   1
35187  1.659242   0.447066   1
49459  8.369667   0.656697   3
31657  13.157197  0.143248   3
6259   8.199667   0.908508   2
33101  4.441669   0.439381   3
27107  9.846492   0.644523   3
17824  0.019540   0.977949   2
43536  8.253774   0.748700   3
67705  6.038620   1.509646   1
35283  6.091587   1.694641   3
71308  8.986820   1.225165   1
31054  11.508473  1.624296   3
52387  8.807734   0.713922   3
40328  0.000000   0.816676   1
34844  8.889202   1.665414   3
11607  3.178117   0.542752   2
64306  7.013795   0.139909   1
32721  9.605014   0.065254   3
33170  1.230540   1.331674   1
37192  10.412811  0.890803   3
13089  0.000000   0.567161   2
66491  9.699991   0.122011   1
15941  0.000000   0.061191   2
4272   4.455293   0.272135   2
48812  3.020977   1.502803   1
28818  8.099278   0.216317   3
35394  1.157764   1.603217   1
71791  10.105396  0.121067   1
40668  11.230148  0.408603   3
39580  9.070058   0.011379   3
11786  0.566460   0.478837   2
19251  0.000000   0.487300   2
56594  8.956369   1.193484   3
54495  1.523057   0.620528   1
11844  2.749006   0.169855   2
45465  9.235393   0.188350   3
31033  10.555573  0.403927   3
16633  6.956372   1.519308   2
13887  0.636281   1.273984   2
52603  3.574737   0.075163   1
72000  9.032486   1.461809   1
68497  5.958993   0.023012   1
35135  2.435300   1.211744   1
26397  10.539731  1.638248   3
7313   7.646702   0.056513   2
91273  20.919349  0.644571   1
24743  1.424726   0.838447   1
31690  6.748663   0.890223   3
15432  2.289167   0.114881   2
58394  5.548377   0.402238   1
33962  6.057227   0.432666   1
31442  10.828595  0.559955   3
31044  11.318160  0.271094   3
29938  13.265311  0.633903   3
9875   0.000000   1.496715   2
51542  6.517133   0.402519   3
11878  4.934374   1.520028   2
69241  10.151738  0.896433   1
37776  2.425781   1.559467   1
68997  9.778962   1.195498   1
67416  12.219950  0.657677   1
59225  7.394151   0.954434   1
29138  8.518535   0.742546   3
5962   2.798700   0.662632   2
10847  0.637930   0.617373   2
70527  10.750490  0.097415   1
9610   0.625382   0.140969   2
64734  10.027968  0.282787   1
25941  9.817347   0.364197   3
2763   0.646828   1.266069   2
55601  3.347111   0.914294   1
31128  11.816892  0.193798   3
5181   0.000000   1.480198   2
69982  10.945666  0.993219   1
52440  10.244706  0.280539   3
57350  2.579801   1.149172   1
57869  2.630410   0.098869   1
56557  11.746200  1.695517   3
42342  8.104232   1.326277   3
15560  12.409743  0.790295   3
34826  12.167844  1.328086   3
8569   3.198408   0.299287   2
77623  16.055513  0.541052   1
78184  7.138659   0.158481   1
7036   4.831041   0.761419   2
69616  10.082890  1.373611   1
21546  10.066867  0.788470   3
36715  8.129538   0.329913   3
20522  3.012463   1.138108   2
42349  3.720391   0.845974   1
9037   0.773493   1.148256   2
26728  10.962941  1.037324   3
587    0.177621   0.162614   2
48915  3.085853   0.967899   1
9824   8.426781   0.202558   2
4135   1.825927   1.128347   2
9666   2.185155   1.010173   2
59333  7.184595   1.261338   1
36198  0.000000   0.116525   1
34909  8.901752   1.033527   3
47516  2.451497   1.358795   1
55807  3.213631   0.432044   1
14036  3.974739   0.723929   2
42856  9.601306   0.619232   3
64007  8.363897   0.445341   1
59428  6.381484   1.365019   1
13730  0.000000   1.403914   2
41740  9.609836   1.438105   3
63546  9.904741   0.985862   1
30417  7.185807   1.489102   3
69636  5.466703   1.216571   1
64660  0.000000   0.915898   1
14883  4.575443   0.535671   2
7965   3.277076   1.010868   2
68620  10.246623  1.239634   1
8738   2.341735   1.060235   2
7544   3.201046   0.498843   2
6377   6.066013   0.120927   2
36842  8.829379   0.895657   3
81046  15.833048  1.568245   1
67736  13.516711  1.220153   1
32492  0.664284   1.116755   1
39299  6.325139   0.605109   3
77289  8.677499   0.344373   1
33835  8.188005   0.964896   3
71890  9.414263   0.384030   1
32054  9.196547   1.138253   3
38579  10.202968  0.452363   3
55984  2.119439   1.481661   1
72694  13.635078  0.858314   1
42299  0.083443   0.701669   1
26635  9.149096   1.051446   3
8579   1.933803   1.374388   2
37302  14.115544  0.676198   3
22878  8.933736   0.943352   3
4364   2.661254   0.946117   2
4985   0.988432   1.305027   2
37068  2.063741   1.125946   1
41137  2.220590   0.690754   1
67759  6.424849   0.806641   1
11831  1.156153   1.613674   2
34502  3.032720   0.601847   1
4088   3.076828   0.952089   2
15199  0.000000   0.318105   2
17309  7.750480   0.554015   3
42816  10.958135  1.482500   3
43751  10.222018  0.488678   3
58335  2.367988   0.435741   1
75039  7.686054   1.381455   1
42878  11.464879  1.481589   3
42770  11.075735  0.089726   3
8848   3.543989   0.345853   2
31340  8.123889   1.282880   3
41413  4.331769   0.754467   3
12731  0.120865   1.211961   2
22447  6.116109   0.701523   3
33564  7.474534   0.505790   3
48907  8.819454   0.649292   3
8762   6.802144   0.615284   2
46696  12.666325  0.931960   3
36851  8.636180   0.399333   3
67639  11.730991  1.289833   1
171    8.132449   0.039062   2
26674  10.296589  1.496144   3
8739   7.583906   1.005764   2
66668  9.777806   0.496377   1
68732  8.833546   0.513876   1
69995  4.907899   1.518036   1
82008  8.362736   1.285939   1
25054  9.084726   1.606312   3
33085  14.164141  0.560970   3
41379  9.080683   0.989920   3
39417  6.522767   0.038548   3
12556  3.690342   0.462281   2
39432  3.563706   0.242019   1
38010  1.065870   1.141569   1
69306  6.683796   1.456317   1
38000  1.712874   0.243945   1
46321  13.109929  1.280111   3
66293  11.327910  0.780977   1
22730  4.545711   1.233254   1
5952   3.367889   0.468104   2
72308  8.326224   0.567347   1
60338  8.978339   1.442034   1
13301  5.655826   1.582159   2
27884  8.855312   0.570684   3
11188  6.649568   0.544233   2
56796  3.966325   0.850410   1
8571   1.924045   1.664782   2
4914   6.004812   0.280369   2
10784  0.000000   0.375849   2
39296  9.923018   0.092192   3
13113  2.389084   0.119284   2
70204  13.663189  0.133251   1
46813  11.434976  0.321216   3
11697  0.358270   1.292858   2
44183  9.598873   0.223524   3
2225   6.375275   0.608040   2
29066  11.580532  0.458401   3
4245   5.319324   1.598070   2
34379  4.324031   1.603481   1
44441  2.358370   1.273204   1
2022   0.000000   1.182708   2
26866  12.824376  0.890411   3
57070  1.587247   1.456982   1
32932  8.510324   1.520683   3
51967  10.428884  1.187734   3
44432  8.346618   0.042318   3
67066  7.541444   0.809226   1
17262  2.540946   1.583286   2
79728  9.473047   0.692513   1
14259  0.352284   0.474080   2
6122   0.000000   0.589826   2
76879  12.405171  0.567201   1
11426  4.126775   0.871452   2
2493   0.034087   0.335848   2
19910  1.177634   0.075106   2
10939  0.000000   0.479996   2
17716  0.994909   0.611135   2
31390  11.053664  1.180117   3
20375  0.000000   1.679729   2
26309  2.495011   1.459589   1
33484  11.516831  0.001156   3
45944  9.213215   0.797743   3
4249   5.332865   0.109288   2
6089   0.000000   1.689771   2
7513   0.000000   1.126053   2
27862  12.640062  1.690903   3
39038  2.693142   1.317518   1
19218  3.328969   0.268271   2
62911  7.193166   1.117456   1
77758  6.615512   1.521012   1
27940  8.000567   0.835341   3
2194   4.017541   0.512104   2
37072  13.245859  0.927465   3
15585  5.970616   0.813624   2
25577  11.668719  0.886902   3
8777   4.283237   1.272728   2
29016  10.742963  0.971401   3
21910  12.326672  1.592608   3
12916  0.000000   0.344622   2
10976  0.000000   0.922846   2
79065  10.602095  0.573686   1
36759  10.861859  1.155054   3
50011  1.229094   1.638690   1
1155   0.410392   1.313401   2
71600  14.552711  0.616162   1
30817  14.178043  0.616313   3
54559  14.136260  0.362388   1
29764  0.093534   1.207194   1
69100  10.929021  0.403110   1
47324  11.432919  0.825959   3
73199  9.134527   0.586846   1
44461  5.071432   1.421420   1
45617  11.460254  1.541749   3
28221  11.620039  1.103553   3
7091   4.022079   0.207307   2
6110   3.057842   1.631262   2
79016  7.782169   0.404385   1
18289  7.981741   0.929789   3
43679  4.601363   0.268326   1
22075  2.595564   1.115375   1
23535  10.049077  0.391045   3
25301  3.265444   1.572970   2
32256  11.780282  1.511014   3
36951  3.075975   0.286284   1
31290  1.795307   0.194343   1
38953  11.106979  0.202415   3
35257  5.994413   0.800021   1
25847  9.706062   1.012182   3
32680  10.582992  0.836025   3
62018  7.038266   1.458979   1
9074   0.023771   0.015314   2
33004  12.823982  0.676371   3
44588  3.617770   0.493483   1
32565  8.346684   0.253317   3
38563  6.104317   0.099207   1
75668  16.207776  0.584973   1
9069   6.401969   1.691873   2
53395  2.298696   0.559757   1
28631  7.661515   0.055981   3
71036  6.353608   1.645301   1
71142  10.442780  0.335870   1
37653  3.834509   1.346121   1
76839  10.998587  0.584555   1
9916   2.695935   1.512111   2
38889  3.356646   0.324230   1
39075  14.677836  0.793183   3
48071  1.551934   0.130902   1
7275   2.464739   0.223502   2
41804  1.533216   1.007481   1
35665  12.473921  0.162910   3
67956  6.491596   0.032576   1
41892  10.506276  1.510747   3
38844  4.380388   0.748506   1
74197  13.670988  1.687944   1
14201  8.317599   0.390409   2
3908   0.000000   0.556245   2
2459   0.000000   0.290218   2
32027  10.095799  1.188148   3
12870  0.860695   1.482632   2
9880   1.557564   0.711278   2
72784  10.072779  0.756030   1
17521  0.000000   0.431468   2
50283  7.140817   0.883813   3
33536  11.384548  1.438307   3
9452   3.214568   1.083536   2
37457  11.720655  0.301636   3
17724  6.374475   1.475925   3
43869  5.749684   0.198875   3
264    3.871808   0.552602   2
25736  8.336309   0.636238   3
39584  9.710442   1.503735   3
31246  1.532611   1.433898   1
49567  9.785785   0.984614   3
7052   2.633627   1.097866   2
35493  9.238935   0.494701   3
10986  1.205656   1.398803   2
49508  3.124909   1.670121   1
5734   7.935489   1.585044   2
65479  12.746636  1.560352   1
77268  10.732563  0.545321   1
28490  3.977403   0.766103   1
13546  4.194426   0.450663   2
37166  9.610286   0.142912   3
16381  4.797555   1.260455   2
10848  1.615279   0.093002   2
35405  4.614771   1.027105   1
15917  0.000000   1.369726   2
6131   0.608457   0.512220   2
67432  6.558239   0.667579   1
30354  12.315116  0.197068   3
69696  7.014973   1.494616   1
33481  8.822304   1.194177   3
43075  10.086796  0.570455   3
38343  7.241614   1.661627   3
14318  4.602395   1.511768   2
5367   7.434921   0.079792   2
37894  10.467570  1.595418   3
36172  9.948127   0.003663   3
40123  2.478529   1.568987   1
10976  5.938545   0.878540   2
12705  0.000000   0.948004   2
12495  5.559181   1.357926   2
35681  9.776654   0.535966   3
46202  3.092056   0.490906   1
11505  0.000000   1.623311   2
22834  4.459495   0.538867   1
49901  8.334306   1.646600   3
71932  11.226654  0.384686   1
13279  3.904737   1.597294   2
49112  7.038205   1.211329   3
77129  9.836120   1.054340   1
37447  1.990976   0.378081   1
62397  9.005302   0.485385   1
0  1.772510   1.039873   2
15476  0.458674   0.819560   2
40625  10.003919  0.231658   3
36706  0.520807   1.476008   1
28580  10.678214  1.431837   3
25862  4.425992   1.363842   1
63488  12.035355  0.831222   1
33944  10.606732  1.253858   3
30099  1.568653   0.684264   1
13725  2.545434   0.024271   2
36768  10.264062  0.982593   3
64656  9.866276   0.685218   1
14927  0.142704   0.057455   2
43231  9.853270   1.521432   3
66087  6.596604   1.653574   1
19806  2.602287   1.321481   2
41081  10.411776  0.664168   3
10277  7.083449   0.622589   2
7014   2.080068   1.254441   2
17275  0.522844   1.622458   2
31600  10.362000  1.544827   3
59956  3.412967   1.035410   1
42181  6.796548   1.112153   3
51743  4.092035   0.075804   1
5194   2.763811   1.564325   2
30832  12.547439  1.402443   3
7976   5.708052   1.596152   2
14602  4.558025   0.375806   2
41571  11.642307  0.438553   3
55028  3.222443   0.121399   1
5837   4.736156   0.029871   2
39808  10.839526  0.836323   3
20944  4.194791   0.235483   2
22146  14.936259  0.888582   3
42169  3.310699   1.521855   1
7010   2.971931   0.034321   2
3807   9.261667   0.537807   2
29241  7.791833   1.111416   3
52696  1.480470   1.028750   1
42545  3.677287   0.244167   1
24437  2.202967   1.370399   1
16037  5.796735   0.935893   2
8493   3.063333   0.144089   2
68080  11.233094  0.492487   1
59016  1.965570   0.005697   1
11810  8.616719   0.137419   2
68630  6.609989   1.083505   1
7629   1.712639   1.086297   2
71992  10.117445  1.299319   1
13398  0.000000   1.104178   2
26241  9.824777   1.346821   3
11160  1.653089   0.980949   2
76701  18.178822  1.473671   1
32174  6.781126   0.885340   3
45043  8.206750   1.549223   3
42173  10.081853  1.376745   3
69801  6.288742   0.112799   1
41737  3.695937   1.543589   1
46979  6.726151   1.069380   3
79267  12.969999  1.568223   1
4615   2.661390   1.531933   2
32907  7.072764   1.117386   3
37444  9.123366   1.318988   3
569    3.743946   1.039546   2
8723   2.341300   0.219361   2
6024   0.541913   0.592348   2
52252  2.310828   1.436753   1
8358   6.226597   1.427316   2
26166  7.277876   0.489252   3
18471  0.000000   0.389459   2
3386   7.218221   1.098828   2
41544  8.777129   1.111464   3
10480  2.813428   0.819419   2
5894   2.268766   1.412130   2
7273   6.283627   0.571292   2
22272  7.520081   1.626868   3
31369  11.739225  0.027138   3
10708  3.746883   0.877350   2
69364  12.089835  0.521631   1
37760  12.310404  0.259339   3
13004  0.000000   0.671355   2
37885  2.728800   0.331502   1
52555  10.814342  0.607652   3
38997  12.170268  0.844205   3
69698  6.698371   0.240084   1
11783  3.632672   1.643479   2
47636  10.059991  0.892361   3
15744  1.887674   0.756162   2
69058  8.229125   0.195886   1
33057  7.817082   0.476102   3
28681  12.277230  0.076805   3
34042  10.055337  1.115778   3
29928  3.596002   1.485952   1
9734   2.755530   1.420655   2
7344   7.780991   0.513048   2
7387   0.093705   0.391834   2
33957  8.481567   0.520078   3
9936   3.865584   0.110062   2
36094  9.683709   0.779984   3
39835  10.617255  1.359970   3
64486  7.203216   1.624762   1
0  7.601414   1.215605   2
39539  1.386107   1.417070   1
66972  9.129253   0.594089   1
15029  1.363447   0.620841   2
44909  3.181399   0.359329   1
38183  13.365414  0.217011   3
37372  4.207717   1.289767   1
0  4.088395   0.870075   2
17786  3.327371   1.142505   2
39055  1.303323   1.235650   1
37045  7.999279   1.581763   3
6435   2.217488   0.864536   2
72265  7.751808   0.192451   1
28152  14.149305  1.591532   3
25931  8.765721   0.152808   3
7538   3.408996   0.184896   2
1315   1.251021   0.112340   2
12292  6.160619   1.537165   2
49248  1.034538   1.585162   1
9025   0.000000   1.034635   2
13438  2.355051   0.542603   2
69683  6.614543   0.153771   1
25374  10.245062  1.450903   3
55264  3.467074   1.231019   1
38324  7.487678   1.572293   3
69643  4.624115   1.185192   1
44058  8.995957   1.436479   3
41316  11.564476  0.007195   3
29119  3.440948   0.078331   1
51656  1.673603   0.732746   1
3030   4.719341   0.699755   2
35695  10.304798  1.576488   3
1537   2.086915   1.199312   2
9083   6.338220   1.131305   2
47744  8.254926   0.710694   3
71372  16.067108  0.974142   1
37980  1.723201   0.310488   1
42385  3.785045   0.876904   1
22687  2.557561   0.123738   1
39512  9.852220   1.095171   3
11885  3.679147   1.557205   2
4944   9.789681   0.852971   2
73230  14.958998  0.526707   1
17585  11.182148  1.288459   3
68737  7.528533   1.657487   1
13818  5.253802   1.378603   2
31662  13.946752  1.426657   3
86686  15.557263  1.430029   1
43214  12.483550  0.688513   3
24091  2.317302   1.411137   1
52544  10.069724  0.766119   3
61861  5.792231   1.615483   1
47903  4.138435   0.475994   1
37190  12.929517  0.304378   3
6013   9.378238   0.307392   2
27223  8.361362   1.643204   3
69027  7.939406   1.325042   1
78642  10.735384  0.705788   1
30254  11.592723  0.286188   3
21704  10.098356  0.704748   3
34985  9.299025   0.545337   3
31316  11.158297  0.218067   3
76368  16.143900  0.558388   1
27953  10.971700  1.221787   3
152    0.000000   0.681478   2
9146   3.178961   1.292692   2
75346  17.625350  0.339926   1
26376  1.995833   0.267826   1
35255  10.640467  0.416181   3
19198  9.628339   0.985462   3
12518  4.662664   0.495403   2
25453  5.754047   1.382742   2
12530  0.000000   0.037146   2
62230  9.334332   0.198118   1
9517   3.846162   0.619968   2
71161  10.685084  0.678179   1
1593   4.752134   0.359205   2
33794  0.697630   0.966786   1
39710  10.365836  0.505898   3
16941  0.461478   0.352865   2
69209  11.339537  1.068740   1
4446   5.420280   0.127310   2
9347   3.469955   1.619947   2
55635  8.517067   0.994858   3
65889  8.306512   0.413690   1
10753  2.628690   0.444320   2
7055   0.000000   0.802985   2
7905   0.000000   1.170397   2
53447  7.298767   1.582346   3
9194   7.331319   1.277988   2
61914  9.392269   0.151617   1
15630  5.541201   1.180596   2
79194  15.149460  0.537540   1
12268  5.515189   0.250562   2
33682  7.728898   0.920494   3
26080  11.318785  1.510979   3
19119  3.574709   1.531514   2
30902  7.350965   0.026332   3
63039  7.122363   1.630177   1
51136  1.828412   1.013702   1
35262  10.117989  1.156862   3
42776  11.309897  0.086291   3
64191  8.342034   1.388569   1
15436  0.241714   0.715577   2
14402  10.482619  1.694972   2
6341   9.289510   1.428879   2
14113  4.269419   0.134181   2
6390   0.000000   0.189456   2
8794   0.817119   0.143668   2
43432  1.508394   0.652651   1
38334  9.359918   0.052262   3
34068  10.052333  0.550423   3
30819  11.111660  0.989159   3
22239  11.265971  0.724054   3
28725  10.383830  0.254836   3
57071  3.878569   1.377983   1
72420  13.679237  0.025346   1
28294  10.526846  0.781569   3
9896   0.000000   0.924198   2
65821  4.106727   1.085669   1
7645   8.118856   1.470686   2
71289  7.796874   0.052336   1
5128   2.789669   1.093070   2
13711  6.226962   0.287251   2
22240  10.169548  1.660104   3
15092  0.000000   1.370549   2
5017   7.513353   0.137348   2
10141  8.240793   0.099735   2
35570  14.612797  1.247390   3
46893  3.562976   0.445386   1
8178   3.230482   1.331698   2
55783  3.612548   1.551911   1
1148   0.000000   0.332365   2
10062  3.931299   0.487577   2
74124  14.752342  1.155160   1
66603  10.261887  1.628085   1
11893  2.787266   1.570402   2
50908  15.112319  1.324132   3
39891  5.184553   0.223382   3
65915  3.868359   0.128078   1
65678  3.507965   0.028904   1
62996  11.019254  0.427554   1
36851  3.812387   0.655245   1
36669  11.056784  0.378725   3
38876  8.826880   1.002328   3
26878  11.173861  1.478244   3
46246  11.506465  0.421993   3
12761  7.798138   0.147917   3
35282  10.155081  1.370039   3
68306  10.645275  0.693453   1
31262  9.663200   1.521541   3
34754  10.790404  1.312679   3
13408  2.810534   0.219962   2
30365  9.825999   1.388500   3
10709  1.421316   0.677603   2
24332  11.123219  0.809107   3
45517  13.402206  0.661524   3
6178   1.212255   0.836807   2
10639  1.568446   1.297469   2
29613  3.343473   1.312266   1
22392  5.400155   0.193494   1
51126  3.818754   0.590905   1
53644  7.973845   0.307364   3
51417  9.078824   0.734876   3
24859  0.153467   0.766619   1
61732  8.325167   0.028479   1
71128  7.092089   1.216733   1
27276  5.192485   1.094409   3
30453  10.340791  1.087721   3
18670  2.077169   1.019775   2
70600  10.151966  0.993105   1
12683  0.046826   0.809614   2
81597  11.221874  1.395015   1
69959  14.497963  1.019254   1
8124   3.554508   0.533462   2
18867  3.522673   0.086725   2
80886  14.531655  0.380172   1
55895  3.027528   0.885457   1
31587  1.845967   0.488985   1
10591  10.226164  0.804403   3
70096  10.965926  1.212328   1
53151  2.129921   1.477378   1
11992  0.000000   1.606849   2
33114  9.489005   0.827814   3
7413   0.000000   1.020797   2
10583  0.000000   1.270167   2
58668  6.556676   0.055183   1
35018  9.959588   0.060020   3
70843  7.436056   1.479856   1
14011  0.404888   0.459517   2
35015  9.952942   1.650279   3
70839  15.600252  0.021935   1
3024   2.723846   0.387455   2
5526   0.513866   1.323448   2
5113   0.000000   0.861859   2
20851  7.280602   1.438470   2
40999  9.161978   1.110180   3
15823  0.991725   0.730979   2
35432  7.398380   0.684218   3
53711  12.149747  1.389088   3
64371  9.149678   0.874905   1
9289   9.666576   1.370330   2
60613  3.620110   0.287767   1
18338  5.238800   1.253646   2
22845  14.715782  1.503758   3
74676  14.445740  1.211160   1
34143  13.609528  0.364240   3
14153  3.141585   0.424280   2
9327   0.000000   0.120947   2
18991  0.454750   1.033280   2
9193   0.510310   0.016395   2
2285   3.864171   0.616349   2
9493   6.724021   0.563044   2
2371   4.289375   0.012563   2
13963  0.000000   1.437030   2
2299   3.733617   0.698269   2
5262   2.002589   1.380184   2
4659   2.502627   0.184223   2
17582  6.382129   0.876581   2
27750  8.546741   0.128706   3
9868   2.694977   0.432818   2
18333  3.951256   0.333300   2
3780   9.856183   0.329181   2
18190  2.068962   0.429927   2
11145  3.410627   0.631838   2
68846  9.974715   0.669787   1
26575  10.650102  0.866627   3
48111  9.134528   0.728045   3
43757  7.882601   1.332446   3
共有 人打赏支持
粉丝 3
博文 139
码字总数 130230
×
marjey
如果觉得我的文章对您有用,请随意打赏。您的支持将鼓励我继续创作!
* 金额(元)
¥1 ¥5 ¥10 ¥20 其他金额
打赏人
留言
* 支付类型
微信扫码支付
打赏金额:
已支付成功
打赏金额: