Question

我有一个与下面完全相同的字符串，我的目标是将其拆分为数据帧，但我发现它无法正常工作。我已经尝试过在堆栈上搜索但没有任何地方。

'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进行处理？

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

我是熊猫新手所以非常感谢任何帮助

Answer 1

这是一种方式。

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，这种方法并不完美：

列名称中的空格，如上所述。在这种情况下，您需要重新定义列名称。
玩家名称中有空格。这似乎不是所提供数据的问题。

Answer 2

以下是您将如何解决这个问题。

    protected UpnpServiceConfiguration createConfiguration() {
    return new AndroidUpnpServiceConfiguration() {
        protected ExecutorService createDefaultExecutorService() {
            return new ThreadPoolExecutor(10,
                    60,
                    60L,
                    TimeUnit.SECONDS,
                    new SynchronousQueue<Runnable>(),
                    new ClingThreadFactory(),
                    new ThreadPoolExecutor.DiscardPolicy());
        }

        @Override
        public int getRegistryMaintenanceIntervalMillis() {
            return 5000;
        }
    };
}

输出

import pandas as pd
from io import StringIO
data  = StringIO('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')
df = pd.read_csv(data, sep="\n")
print(df)

将字符串拆分为数据帧pandas

2 个答案: