![]() This method is quite useful when we need to rename some selected columns because we need to specify information only for the columns which are to be renamed. PANDAS RENAME COLUMN HOW TOWith 0.21+, you can now specify an axis parameter with rename: df.rename()ĭf_renamed = df.rename(columns=lambda x: x + '2' if x in else x)ĭf_renamed = df.rename(columns=rename_some)ĭf_renamed = df. How to rename columns in Pandas DataFrame Method 1: Using rename () function One way of renaming the columns in a Pandas Dataframe is by using the rename () function. Rename with axis=1 df = pd.DataFrame('x', columns=, index=range(5)) Rename takes a dict with a key of your old column name and a key. Options are available for in-place modification as well. You can use the following basic syntax to rename columns in a groupby()function in pandas: df.groupby('groupcol'). The first method that we suggest is using Pandas Rename. If you need to rename ALL columns at once, How do I rename a specific column in pandas?įrom v0.24+, to rename one (or more) columns at a time,ĭataFrame.rename() with axis=1 or axis='columns' (the axis argument was introduced in v0.21. ![]()
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