在Pandas Dataframe中组合文本(Combining Text in Pandas Dataframe)

 我有多个列，我想合并在一起，但我希望它由一个表驱动。 所以用户可以指定让我们说字段：'A'，'B'，'C'和另一个用户可以说他们想要'A'，'B'，'E'，'Z'等... 
 
 所以我希望这在某种意义上是动态的。 另外，在每个行值之间，我需要插入一个\n值来获得一个新的行字符。 
 
 所以在我的字段description ，给出第一个例子，我需要将字符串格式化为： 
 
'A: ' + df['A'] + "\n" + 'B: ' + df['B'] + '\n' + 'C: ' + df['C'] + '\n'
 
 在python中使用字符串数据时，可以利用+=操作将文本追加到现有字符串，所以我想我可以在我的Pandas数据帧对象上创建一个名为description的列，然后使用+=操作将所有内容组合在一起。 
 
df['description'] = ""
for f in fields:
    df['description'] += f + ": " + df[f] + '\n'
 
 但这引发了一个类型错误： 
 
TypeError: unsupported operand type(s) for +: 'numpy.ndarray' and 'str'
 
 关于我如何做到这一点的任何想法？ 
 
 我使用的是Pandas 0.16.1 
 
 谢谢 

I have multiple columns that I want to merge together, but I want it driven by a table. So a user can specify let's say fields: 'A', 'B', 'C' and another use can say they want 'A', 'B', 'E', 'Z', etc...
 
So I want this to be dynamic in a sense. In addition between each row value, I need to insert a \n value to have a new line character.
 
So in my field description, given the first example, I need the string to be formatted as:
 
'A: ' + df['A'] + "\n" + 'B: ' + df['B'] + '\n' + 'C: ' + df['C'] + '\n'
 
When working with string data in python, you can leverage the += operation to append text to an existing string, so I thought I could create a column called description on my Pandas dataframe object and then use the += operation to push everything together.
 
df['description'] = ""
for f in fields:
    df['description'] += f + ": " + df[f] + '\n'
 
But this raises a typeerror:
 
TypeError: unsupported operand type(s) for +: 'numpy.ndarray' and 'str'
 
Any ideas on how I can do this?
 
I am using Pandas 0.16.1
 
Thanks

原文：https://stackoverflow.com/questions/40975161