使用 pandas 将字符串前缀添加到字符串列中的每个值 [英] add a string prefix to each value in a string column using Pandas

问题描述

我想将一个字符串附加到pandas数据框的所述列中每个值的开头. 我已经弄清楚该如何做，目前正在使用:

I would like to append a string to the start of each value in a said column of a pandas dataframe (elegantly). I already figured out how to kind-of do this and I am currently using:

df.ix[(df['col'] != False), 'col'] = 'str'+df[(df['col'] != False), 'col']

这似乎是一件微不足道的事情-您是否知道其他任何方式(可能还会将该字符添加到该列为0或NaN的行中)?

This seems one hell of an inelegant thing to do - do you know any other way (which maybe also adds the character to rows where that column is 0 or NaN)?

如果尚不清楚，我想转一下:

In case this is yet unclear, I would like to turn:

    col 
1     a
2     0

进入:

       col 
1     stra
2     str0

推荐答案

df['col'] = 'str' + df['col'].astype(str)

示例:

>>> df = pd.DataFrame({'col':['a',0]})
>>> df
  col
0   a
1   0
>>> df['col'] = 'str' + df['col'].astype(str)
>>> df
    col
0  stra
1  str0

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