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如何在pandas数据帧中拆分元组列?

我有一个熊猫数据帧(这只是一小块)

>>> d1
   y norm test  y norm train  len(y_train)  len(y_test)  \
0    64.904368    116.151232          1645          549   
1    70.852681    112.639876          1645          549   

                                    SVR RBF  \
0   (35.652207342877873, 22.95533537448393)   
1  (39.563683797747622, 27.382483096332511)   

                                        LCV  \
0  (19.365430594452338, 13.880062435173587)   
1  (19.099614489458364, 14.018867136617146)   

                                   RIDGE CV  \
0  (4.2907610988480362, 12.416745648065584)   
1    (4.18864306788194, 12.980833914392477)   

                                         RF  \
0   (9.9484841581029428, 16.46902345373697)   
1  (10.139848213735391, 16.282141345406522)   

                                           GB  \
0  (0.012816232716538605, 15.950164822266007)   
1  (0.012814519804493328, 15.305745202851712)   

                                             ET DATA  
0  (0.00034337162272515505, 16.284800366214057)  j2m  
1  (0.00024811554516431878, 15.556506191784194)  j2m  
>>> 
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我想拆分包含元组的所有列.比如我想替换列LCV与列LCV-a和 …

python tuples numpy dataframe pandas

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