我正在尝试绘制Y轴与Seaborn中所有列的关系，其中箱形图和带状图位于箱形图的顶部。我想绘制类似这样的图形，但是，我想要数据框中的所有列。有谁知道如何在x轴上添加所有列而不是2列？

Plot two levels of x_ticklabels on a pandas multi-index dataframe

我能够以这种格式对数据进行多倍处理

arrays = [['L1','L1','L2','L2'],['W1','W1','W2','W3','W3'],['1','1','2','3','3'],['A','B','A','B'] 
]

index = pd.MultiIndex.from_arrays(arrays,names=   ('LOT','Wafer','Wire_Width','Penetration_Depth'))
df = pd.DataFrame({'Y_axis': [10,5,2,6,3,4,11,7,9,10.4,2.4,3.4,4.5,6.1,3.9]},index=index)
df

这是数据的字典

data = {'Lot': {0: 'L1',1: 'L1',2: 'L1',3: 'L1',4: 'L1',5: 'L1',6: 'L1',7: 'L1',8: 'L1',9: 'L1',10: 'L1',11: 'L1',12: 'L2',13: 'L2',14: 'L2',15: 'L2',16: 'L2',17: 'L2',18: 'L2',19: 'L2',20: 'L2',21: 'L2',22: 'L2',23: 'L2'},'Wafer': {0: 'W1',1: 'W1',2: 'W2',3: 'W2',4: 'W3',5: 'W3',6: 'W1',7: 'W1',8: 'W2',9: 'W2',10: 'W3',11: 'W3',12: 'W1',13: 'W1',14: 'W2',15: 'W2',16: 'W3',17: 'W3',18: 'W1',19: 'W1',20: 'W2',21: 'W2',22: 'W3',23: 'W3'},'Wire_Width': {0: '1',1: '1',2: '2',3: '2',4: '3',5: '3',6: '1',7: '1',8: '2',9: '2',10: '3',11: '3',12: '1',13: '1',14: '2',15: '2',16: '3',17: '3',18: '1',19: '1',20: '2',21: '2',22: '3',23: '3'},'Penetration_Type': {0: 'A',1: 'B',2: 'A',3: 'B',4: 'A',5: 'B',6: 'A',7: 'B',8: 'A',9: 'B',10: 'A',11: 'B',12: 'A',13: 'B',14: 'A',15: 'B',16: 'A',17: 'B',18: 'A',19: 'B',20: 'A',21: 'B',22: 'A',23: 'B'},'Y_axis': {0: 10.0,1: 5.0,2: 2.0,3: 6.0,4: 3.0,5: 4.0,6: 11.0,7: 3.0,8: 4.0,9: 3.0,10: 7.0,11: 5.0,12: 9.0,13: 3.0,14: 4.0,15: 5.0,16: 4.0,17: 3.0,18: 10.4,19: 2.4,20: 3.4,21: 4.5,22: 6.1,23: 3.9}}

dataDf = pd.DataFrame(data)