如何水平打印熊猫？

Question

我目前正在尝试水平打印熊猫假人（单热编码）的输出，而不是垂直打印。垂直打印时，很难正确匹配标题的代码，垂直打印时，标头比需要，并且需要几分钟才能完成。我想水平打印输出，以便标题位于其编码上方，因此只有一个索引。我还尝试为每个项目分配名称并将它们作为一个组进行打印，但这并没有达到我想要的效果，因为它将6,392行数据转换为140,666行。代码在下面。

Code:

df = pd.read_csv('Filename.txt')
df.columns = ['Date','b1','b2','b3','b4','b5','b6','b7','b8','b9','b10','b11','b12','b13','b14','b15','b16','b17','b18','b19','b20','b21','b22']
df = df.set_index('Date')
reversed_df = df.iloc[::-1]

n=5
print('Game')
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)
pd.set_option('display.width', None)
print(reversed_df.drop(df.index[n:-n]),("\n"))

BallOne = pd.get_dummies(reversed_df.b1)
BallTwo = pd.get_dummies(reversed_df.b2)
BallThree = pd.get_dummies(reversed_df.b3)
BallFour = pd.get_dummies(reversed_df.b4)
BallFive = pd.get_dummies(reversed_df.b5)
BallSix = pd.get_dummies(reversed_df.b6)
BallSeven = pd.get_dummies(reversed_df.b7)
BallEight = pd.get_dummies(reversed_df.b8)
BallNine = pd.get_dummies(reversed_df.b9)
BallTen = pd.get_dummies(reversed_df.b10)
BallEleven = pd.get_dummies(reversed_df.b11)
BallTwelve = pd.get_dummies(reversed_df.b12)
BallThirteen = pd.get_dummies(reversed_df.b13)
BallFourteen = pd.get_dummies(reversed_df.b14)
BallFifteen = pd.get_dummies(reversed_df.b15)
BallSixteen = pd.get_dummies(reversed_df.b16)
BallSeventeen = pd.get_dummies(reversed_df.b17)
BallEightteen = pd.get_dummies(reversed_df.b18)
BallNineteen = pd.get_dummies(reversed_df.b19)
BallTwenty = pd.get_dummies(reversed_df.b20)
BallTwentyOne = pd.get_dummies(reversed_df.b21)
BallTwentyTwo = pd.get_dummies(reversed_df.b22)
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)
pd.set_option('display.width', None)
#(pd.concat([BallOne, BallTwo, BallThree, BallFour, BallFive, BallSix, BallSeven, BallEight, BallNine, BallTen, BallEleven, BallTwelve,     BallThirteen, BallFourteen, BallFifteen, BallSixteen, BallSeventeen, BallEightteen, BallNineteen, BallTwenty, BallTwentyOne, BallTwentyTwo], keys = ['K-B1', 'K-B2', 'K-B3', 'K-B4', 'K-B5', 'K-B6', 'K-B7', 'K-B8', 'K-B9', 'K-B10', 'K-B11', 'K-B12', 'K-B13', 'K-B14', 'K-B15', 'K-B16', 'K-B17', 'K-B18', 'K-B19', 'K-B20', 'K-B21', 'K-B22'], axis=1),("\n"))

p1 = (pd.concat([BallOne], keys = ['B1'], axis=1))
p2 = (pd.concat([BallTwo], keys = ['B2'], axis=1))
p3 = (pd.concat([BallThree], keys = ['B3'], axis=1))
p4 = (pd.concat([BallFour], keys = ['B4'], axis=1))
p5 = (pd.concat([BallFive], keys = ['B5'], axis=1))
p6 = (pd.concat([BallSix], keys = ['B6'], axis=1))
p7 = (pd.concat([BallSeven], keys = ['B7'], axis=1))
p8 = (pd.concat([BallEight], keys = ['B8'], axis=1))
p9 = (pd.concat([BallNine], keys = ['B9'], axis=1))
p10 = (pd.concat([BallTen], keys = ['B10'], axis=1))
p11 = (pd.concat([BallEleven], keys = ['B11'], axis=1))
p12 = (pd.concat([BallTwelve], keys = ['B12'], axis=1))
p13 = (pd.concat([BallThirteen], keys = ['B13'], axis=1))
p14 = (pd.concat([BallFourteen], keys = ['B14'], axis=1))
p15 = (pd.concat([BallFifteen], keys = ['B15'], axis=1))
p16 = (pd.concat([BallSixteen], keys = ['B16'], axis=1))
p17 = (pd.concat([BallSeventeen], keys = ['B17'], axis=1))
p18 = (pd.concat([BallEightteen], keys = ['B18'], axis=1))
p19 = (pd.concat([BallNineteen], keys = ['B19'], axis=1))
p20 = (pd.concat([BallTwenty], keys = ['B20'], axis=1))
p21 = (pd.concat([BallTwentyOne], keys = ['B21'], axis=1))
p22 = (pd.concat([BallTwentyTwo], keys = ['B22'], axis=1))
print(p1,p2,p3,p4,p5,p6,p7,p8,p9,p10,p11,p12,p13,p14,p15,p16,p17,p18,p19,p20,p21,p22)