我有一个与下面完全相同的字符串,我的目标是将其分割成一个数据帧,但我发现它无法正常工作。我尝试过在堆栈上搜索,但一无所获。
'Position Players Average Form\nGoalkeeper Manuel Neuer 4.17017132535\n Defender Diego Godin 4.14973163459\n Defender Giorgio Chiellini 4.10115207373\n Defender Thiago Silva 3.93318274318\n Defender Andrea Barzagli 3.85132973289\nMidfielder Arjen Robben 4.80556193806\nMidfielder Alexander Meier 4.51037598508\nMidfielder Franck Ribery 4.48063714064\nMidfielder David Silva 3.76028050109\n Forward Cristiano Ronaldo 7.87909462636\n Forward Zlatan Ibrahimovic 6.85401665065'
有没有办法以可重现的方式将其转换为数据帧,以便我可以使用其他字符串来实现?
我的目标数据框如下所示:
Position name Average
Goalkeeper Manuel 4.17017132535
Defender Diego 4.14973163459
Defender Giorgio 4.10115207373
Defender Thiago 3.93318274318
Defender Andrea 3.85132973289
Midfielder Arjen 4.80556193806
Midfielder Alexander 4.51037598508
Midfielder Franck 4.48063714064
Midfielder David 3.76028050109
Forward Cristiano 7.87909462636
Forward Hnery 6.85401665065
我是 Pandas 新手,因此我们将不胜感激
最佳答案
这是一种方法。
import pandas as pd
mystr = 'Position Players Average Form\nGoalkeeper Manuel Neuer 4.17017132535\n Defender Diego Godin 4.14973163459\n Defender Giorgio Chiellini 4.10115207373\n Defender Thiago Silva 3.93318274318\n Defender Andrea Barzagli 3.85132973289\nMidfielder Arjen Robben 4.80556193806\nMidfielder Alexander Meier 4.51037598508\nMidfielder Franck Ribery 4.48063714064\nMidfielder David Silva 3.76028050109\n Forward Cristiano Ronaldo 7.87909462636\n Forward Zlatan Ibrahimovic 6.85401665065'
lst = mystr.split()
data = [lst[pos:pos+4] for pos in range(0, len(lst), 4)]
df = pd.DataFrame(data[1:], columns=data[0])
print(df)
# Position Players Average Form
# 0 Goalkeeper Manuel Neuer 4.17017132535
# 1 Defender Diego Godin 4.14973163459
# 2 Defender Giorgio Chiellini 4.10115207373
# 3 Defender Thiago Silva 3.93318274318
# 4 Defender Andrea Barzagli 3.85132973289
# 5 Midfielder Arjen Robben 4.80556193806
# 6 Midfielder Alexander Meier 4.51037598508
# 7 Midfielder Franck Ribery 4.48063714064
# 8 Midfielder David Silva 3.76028050109
# 9 Forward Cristiano Ronaldo 7.87909462636
# 10 Forward Zlatan Ibrahimovic 6.85401665065
在这些情况下,此方法并不完美:
- 列名称中的空格,如上所述。在这种情况下,您将需要重新定义列名称。
- 玩家姓名中的空格。从所提供的数据来看,这似乎不是问题。
关于python - 将字符串拆分为数据框 pandas,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/49895238/