Python 使用panda dataframe列值并粘贴到下一行

我对Python中的Panda dataframe非常陌生。我正在编写一个csv文件结构如下所示的代码：

Id, Title, Body, Tags, Date
1, First question, My first question, robot Python, 2015
2, Second question, My second question, C++ Python, 2015
3, Third question, My third question, Selenium, 2016
4, Fourth question, My fourth question, Java C++, 2016

Id, Title, Body, Tags, Date
1, First question, My first question, robot, 2015
2, First question, My first question, Python, 2015
3, Second question, My second question, C++, 2015
4, Second question, My second question, Python, 2015
.......

我已经使用Panda库将这个CSV导出到我的python代码中

我正在尝试获得如下所示的数据帧：

Id, Title, Body, Tags, Date
1, First question, My first question, robot Python, 2015
2, Second question, My second question, C++ Python, 2015
3, Third question, My third question, Selenium, 2016
4, Fourth question, My fourth question, Java C++, 2016

Id, Title, Body, Tags, Date
1, First question, My first question, robot, 2015
2, First question, My first question, Python, 2015
3, Second question, My second question, C++, 2015
4, Second question, My second question, Python, 2015
.......

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请告诉我是否有任何合适的方法来实现这一点

最好的做法是提供您正在尝试执行的操作的完整代码，以便我们能够完全帮助您

我认为你试图做的只是简单地替换一些值。您可以使用此结构

df['column name'] = df['column name'].replace(['old value'],'new value')

以你为例

df['Title'] = df['Title'].replace({'Second Question': 'First Question',
                                   'Second Question' : 'Third Question"}),
                                    inplace = True)

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等等等等。

你可以这样做：

df = df.drop(["Id"], axis=1)
df2 = pd.DataFrame(columns=df.columns)
for index, row in df.iterrows():
    aux = row
    for tag in row["Tags"].split():
        aux["Tags"] = tag
        df2 = df2.append(aux)
df2.reset_index(drop=True)

其中df是您的数据帧，df2是更新的数据帧。您迭代数据帧df的每一行，并将“Tags”值拆分为尽可能多的标记（在您的示例中，最大值为2，但我认为您可以有更多）。然后将带有每个单独标记的行附加到新的数据帧df2。 （我删除id并重置索引，因为它保留原始索引值）

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他试图根据标签值复制列，而不是重命名标题。。。