Question

给定一个DataFrame，我尝试从几个尝试（表示为列）中选择最适合target列的那个。

import pandas as pd  # tried with pandas 0.22 and pandas 0.20

data = {0.1: {10000.0: 1.1417023723316702,
       20000.0: 1.675669860738065,
       30000.0: 2.1391047345794565,
       40000.0: 2.588884897140648},
 0.3: {10000.0: 3.4251071169950102,
       20000.0: 5.027009582214195,
       30000.0: 6.4173142037383695,
       40000.0: 7.766654691421943},
 0.5: {10000.0: 5.708511861658351,
       20000.0: 8.378349303690324,
       30000.0: 10.695523672897282,
       40000.0: 12.94442448570324},
 0.7: {10000.0: 7.99191660632169,
       20000.0: 11.729689025166454,
       30000.0: 14.973733142056194,
       40000.0: 18.122194279984534},
 0.9: {10000.0: 10.275321350985031,
       20000.0: 15.081028746642584,
       30000.0: 19.25194261121511,
       40000.0: 23.29996407426583},
 'target': {10000.0: 8.95547589186585,
            20000.0: 12.664955463781974,
            30000.0: 15.511339250669858,
            40000.0: 17.9109517837317}}

values = pd.DataFrame(data)

values
Out[4]: 
              0.1       0.3        0.5        0.7        0.9     target
10000.0  1.141702  3.425107   5.708512   7.991917  10.275321   8.955476
20000.0  1.675670  5.027010   8.378349  11.729689  15.081029  12.664955
30000.0  2.139105  6.417314  10.695524  14.973733  19.251943  15.511339
40000.0  2.588885  7.766655  12.944424  18.122194  23.299964  17.910952

我的计划是使用Pandas DataFrame.corr()来快速提示。但是，我得到的结果不是完全使用，因为target与try的所有值都等于1。

这种方法有什么问题：

values.corr()
Out[5]: 
             0.1       0.3       0.5       0.7       0.9    target
0.1     1.000000  1.000000  1.000000  1.000000  1.000000  0.998252
0.3     1.000000  1.000000  1.000000  1.000000  1.000000  0.998252
0.5     1.000000  1.000000  1.000000  1.000000  1.000000  0.998252
0.7     1.000000  1.000000  1.000000  1.000000  1.000000  0.998252
0.9     1.000000  1.000000  1.000000  1.000000  1.000000  0.998252
target  0.998252  0.998252  0.998252  0.998252  0.998252  1.000000

为什么DataFrame关联显示这些结果

0 个答案: