我想将宽数据转换为长格式。
我学习了如何使用pd.melt做到这一点，但是当您有多列时，这似乎不起作用。因此，我尝试将pd.concat与pd.melt一起使用，但未产生我想要的结果
这是我的数据样本
{'secondBoxer1': {0: '"Cody Sons"',
1: '"Billy Martin"',
2: '"Jennifer Michelle Woods"',
3: '"Francisco Velasquez"',
4: '"Mark Anderson"'},
'secondBoxerLast61': {0: '[] ',
1: '["unknown" unknown unknown unknown loss loss] ',
2: '[] ',
3: '[] ',
4: '["loss" loss loss loss loss loss] '},
'secondBoxerRating1': {0: '[null null] ',
1: '[null null] ',
2: '[null null] ',
3: '[null null] ',
4: '[null null] '},
'secondBoxerRecord1': {0: '{"draw"0 loss0 win0} ',
1: '{"draw"0 loss2 win0} ',
2: '{"draw"0 loss0 win0} ',
3: '{"draw"0 loss0 win0} ',
4: '{"draw"1 loss14 win3} '},
'secondBoxerWeight1': {0: 214.0, 1: 198.0, 2: nan, 3: 108.75, 4: 163.5},
'secondBoxer2': {0: '"Tamis Long"',
1: '"Danyelle Williams"',
2: '"Leesa Daniels"',
3: '"Hector Herrera"',
4: '"Coy Lanbert"'},
'secondBoxerLast62': {0: '["unknown" unknown unknown win loss loss] ',
1: '["unknown" unknown unknown unknown win win] ',
2: '["unknown" unknown loss win loss loss] ',
3: '["unknown" unknown unknown unknown unknown loss] ',
4: '["win" loss loss win win win] '},
'secondBoxerRating2': {0: '[null null] ',
1: '[null null] ',
2: '[null null] ',
3: '[null null] ',
4: '[null null] '},
'secondBoxerRecord2': {0: '{"draw"0 loss2 win1} ',
1: '{"draw"0 loss0 win2} ',
2: '{"draw"0 loss3 win1} ',
3: '{"draw"0 loss1 win0} ',
4: '{"draw"0 loss19 win6} '},
'secondBoxerWeight2': {0: 207.5, 1: 238.25, 2: 122.0, 3: 106.75, 4: 161.0},
'secondBoxer3': {0: '"Davin Clark"',
1: '"Delbert Peters"',
2: '"Kanisca Feliciano Ruiz"',
3: '"Luis Gonzalez"',
4: nan},
'secondBoxerLast63': {0: '["unknown" unknown unknown unknown unknown win] ',
1: '[] ',
2: '[] ',
3: '["loss" loss win loss loss loss] ',
4: '[] '},
'secondBoxerRating3': {0: '[null null] ',
1: '[null null] ',
2: '[null null] ',
3: '[null null] ',
4: '[null null] '},
'secondBoxerRecord3': {0: '{"draw"0 loss0 win1} ',
1: '{"draw"0 loss0 win0} ',
2: '{"draw"0 loss0 win0} ',
3: '{"draw"0 loss6 win1} ',
4: '{"draw"null lossnull winnull} '},
'secondBoxerWeight3': {0: 198.0, 1: 300.0, 2: 114.0, 3: nan, 4: nan},
'secondBoxer4': {0: '"Fernando Caro"',
1: '"John Carmona"',
2: nan,
3: '"Jose Meza"',
4: nan},
'secondBoxerLast64': {0: '["unknown" unknown win win win loss] ',
1: '[] ',
2: nan,
3: '[] ',
4: nan},
'secondBoxerRating4': {0: '[null null] ',
1: '[null null] ',
2: nan,
3: '[null null] ',
4: nan},
'secondBoxerRecord4': {0: '{"draw"0 loss1 win3} ',
1: '{"draw"0 loss0 win0} ',
2: nan,
3: '{"draw"0 loss0 win0} ',
4: nan},
'secondBoxerWeight4': {0: 212.5, 1: 314.75, 2: nan, 3: nan, 4: nan},
'secondBoxer5': {0: '"Fernando Caro"',
1: '"Ryan Watson"',
2: nan,
3: '"Jose Gutierrez"',
4: nan},
'secondBoxerLast65': {0: '["unknown" win win win loss loss] ',
1: '["unknown" win win draw loss win] ',
2: nan,
3: '["unknown" unknown unknown unknown loss loss] ',
4: nan},
'secondBoxerRating5': {0: '[null null] ',
1: '[null null] ',
2: nan,
3: '[null null] ',
4: nan},
'secondBoxerRecord5': {0: '{"draw"0 loss2 win3} ',
1: '{"draw"1 loss1 win3} ',
2: nan,
3: '{"draw"0 loss2 win0} ',
4: nan},
'secondBoxerWeight5': {0: 202.0, 1: 281.0, 2: nan, 3: 114.75, 4: nan},
'name': {0: 'Roberto Salas',
1: 'James Jackson',
2: 'Alex Love',
3: 'Juan Centeno',
4: 'Jordan Weeks'}}
这是我写的：
testing = list(chain.from_iterable(('secondBoxer'+str(i), 'secondBoxerLast6'+str(i),'secondBoxerRating'+str(i),'secondBoxerRecord'+str(i),'secondBoxerWeight'+str(i)) for i in range(1, 6)))
pd.concat([pd.melt(tist,id_vars='name',value_vars=i,var_name='vars',value_name='value') for i in testing])
这将产生以下数据帧：
name vars value
0 Roberto Salas secondBoxer1 "Cody Sons"
1 James Jackson secondBoxer1 "Billy Martin"
2 Alex Love secondBoxer1 "Jennifer Michelle Woods"
3 Juan Centeno secondBoxer1 "Francisco Velasquez"
4 Jordan Weeks secondBoxer1 "Mark Anderson"
... ... ... ...
0 Roberto Salas secondBoxerWeight5 202
1 James Jackson secondBoxerWeight5 281
2 Alex Love secondBoxerWeight5 NaN
3 Juan Centeno secondBoxerWeight5 114.75
4 Jordan Weeks secondBoxerWeight5 NaN
我希望将此作为我的输出：
name vars value vars2 values2
0 Roberto Salas secondBoxer1 "Cody Sons" secondBoxerWeight1 xx
1 James Jackson secondBoxer1 "Billy Martin" secondBoxerWeight1 xx
2 Alex Love secondBoxer1 "Jennifer Michelle Woods" secondBoxerWeight1 xx
3 Juan Centeno secondBoxer1 "Francisco Velasquez" secondBoxerWeight1 xx
4 Jordan Weeks secondBoxer1 "Mark Anderson" secondBoxerWeight1 xx
vars3-6是我数据集中每个战斗机的secondBoxerLast6，secondBoxerRating和secondBoxerRecord的列