替换 pandas 数据帧中所有出现的字符串(Python) [英] Replace all occurrences of a string in a pandas dataframe (Python)

问题描述

我有一个大约有 20 列的 Pandas 数据框.

可以通过手动写入所有列名来替换所有出现的字符串(这里是换行符):

df['columnname1'] = df['columnname1'].str.replace("
","
")df['columnname2'] = df['columnname2'].str.replace("
","
")df['columnname3'] = df['columnname3'].str.replace("
","
")...df['columnname20'] = df['columnname20'].str.replace("
","
")

不幸的是这不起作用:

df = df.replace("
","
")

还有其他更优雅的解决方案吗?

解决方案

您可以使用 replace 并将字符串传递给 find/replace 作为字典键/项目:

df.replace({'
': '
'}, regex=True)

例如:

<预><代码>>>>df = pd.DataFrame({'a': ['1 ', '2 ', '3'], 'b': ['4 ', '5', '6 ']})>>>df乙0 1 4 1 2 52 3 6 >>>df.replace({' ': '
'}, regex=True)乙0 1 br4
1 2 br>52 3 6 6

I have a pandas dataframe with about 20 columns.

It is possible to replace all occurrences of a string (here a newline) by manually writing all column names:

df['columnname1'] = df['columnname1'].str.replace("
","<br>")
df['columnname2'] = df['columnname2'].str.replace("
","<br>")
df['columnname3'] = df['columnname3'].str.replace("
","<br>")
...
df['columnname20'] = df['columnname20'].str.replace("
","<br>")

This unfortunately does not work:

df = df.replace("
","<br>")

Is there any other, more elegant solution?

解决方案

You can use replace and pass the strings to find/replace as dictionary keys/items:

df.replace({'
': '<br>'}, regex=True)

For example:

>>> df = pd.DataFrame({'a': ['1
', '2
', '3'], 'b': ['4
', '5', '6
']})
>>> df
   a    b
0  1
  4

1  2
  5
2  3    6


>>> df.replace({'
': '<br>'}, regex=True)
   a      b
0  1<br>  4<br>
1  2<br>  5
2  3      6<br>

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