将包含 key/value 对的 Pandas 系列映射到包含数据的新列

Question

我有一个包含 pandas 系列（第 2 列）的数据框，如下所示：

column 1	column 2	column 3
1123	Requested By = John Doe 1\n Requested On = 12 October 2021\n Comments = This is a generic request	INC29192
1251	NaN	INC18217
1918	Requested By = John Doe 2\n Requested On = 2 September 2021\n Comments = This is another generic request	INC19281

我正在努力将第 2 列数据提取、拆分和映射到一系列新的列名，并为该记录提供适当的数据（如果可能，那是有可用数据的地方，因为我有 NaN）。

所需的输出类似于（为了便于阅读，我删除了第 3 列数据）：

column 1	column 3	Requested By	Requested On	Comments
1123	INC29192	John Doe 1	12 October 2021	This is a generic request
1251	INC18217	NaN	NaN	NaN
1918	INC19281	John Doe 2	2 September 2021	This is another generic request

我花了很多时间尝试各种方法，从 lambda 函数到推导式再到爆炸方法，但还没有完全找到提供所需输出的解决方案 - 任何想法都非常感谢！

Answer 1

首先，我会将 column 2 值转换为字典，然后将它们转换为 Dataframes 并将它们连接到您的 df:

df['column 2'] = df['column 2'].apply(lambda x: 
                                       {y.split(' = ',1)[0]:y.split(' = ',1)[1]
                                       for y in x.split(r'\n ')}
                                       if not pd.isna(x) else {})
df = df.join(pd.DataFrame(df['column 2'].values.tolist())).drop('column 2', axis=1)
print(df)

输出：

   column 1  column 3 Requested By      Requested On                         Comments
0      1123  INC29192   John Doe 1   12 October 2021        This is a generic request
1      1251  INC18217          NaN               NaN                              NaN
2      1918  INC19281   John Doe 2  2 September 2021  This is another generic request

将包含 key/value 对的 Pandas 系列映射到包含数据的新列

Map Pandas Series Containing key/value pairs to a new columns with data

lambda

split

list

python-3.x

pandas