I have the following pandas DataFrame in python:
| attr_x | header | example_x | other |
|---|---|---|---|
| 3232 | 322 | abv | ideo |
| 342 | 123213 | ffee | iie |
| 232 | 873213 | ffue | iie |
| 333 | 4534 | ffpo | iieu |
I want to remove the suffixes '_x' from all columns containing it. The original DataFrame is much longer. Example result:
| attr | header | example | other |
|---|---|---|---|
| 3232 | 322 | abv | ideo |
| 342 | 123213 | ffee | iie |
| 232 | 873213 | ffue | iie |
| 333 | 4534 | ffpo | iieu |
CodePudding user response：
Use str.removesuffix:
df.columns = df.columns.str.removesuffix("_x")
Or replace:
df.columns = df.columns.str.replace(r'_x$', '')