![]() The `columns` parameter of the `rename()` method is used to specify the new column names as a dictionary with the keys as the old column names and the values as the new column names. In the above example, the `rename()` method is used to change the column names of the original dataframe `df`. ![]() The rename()method, when invoked on a dataframe, takes a dictionary mapping as its input argument. # print the dataframe with new column names Rename Specific Columns in a Dataframe Using the rename() Method Instead of using the âvaluesâ array, we can use the rename()method to rename specific columns in a dataframe. This is the easiest way to rename a single column, but you can rename multiple columns by adding more : pairs to your. The method takes a mapping of old to new column names, so you can rename as many as you wish.To do this, use the df.rename() function and specify the columns to be renamed. You can use the `rename()` method of pandas to change the column names of a dataframe. Renaming columns in a Pandas DataFrame is a simple process. The rename() method requires a dictionary of keys (old column name) and values (new. ![]() ![]() We will look at an example and discuss how it works in detail. Renaming columns of a DataFrame in Pandas is easy and straightforward. This blog post will demonstrate how to use the `rename()` method of pandas to change the column names of a dataframe. To batch rename the 61 columns in the dataframe, we need to first get the list of the old column names using list(df.iloc:, 4.columns). ![]()
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