rename (columns={'old_col':'new_col', 'old_col2':'new_col2'}, inplace= True) This tutorial shows several examples of how to use this function in practice on the following pandas DataFrame: Let’s Start with a simple example of renaming the columns and then we will check the re-ordering and other actions we can perform using these functions Using set_axis method is a bit tricky for renaming columns in pandas. weather.columns() Index(['DSCITY', 'MNTP', 'MXTP'], dtype='object') As you can see the column names have technical names which we might want to simplify so that others working with our data will better understand. If you want to rename a single column, just pass the single key-value pair in the columns dict parameter. inplace: Makes changes in original Data Frame if True. Using rename to change column names is a much better way than before. Rename pandas columns using set_axis method. Example 1: Rename Single Column Rename Columns Pandas DataFrame. A very common need in working with pandas DataFrames is to rename a column. Maybe the columns were supplied by a data source like a CSV file and they need cleanup. In the following set of examples, we will learn how to rename a single column, and how to rename multiple columns of Pandas DataFrame. There have been some significant updates to column renaming in version 0.21. 2. And not all the column names need to be changed. $\begingroup$ df.columns[1] will give a column name, and then it replaces all the columns with that name as "new_col_name" which defeats the whole purpose of this question. Pandas Rename Single Column. You can rename a single column or multiple columns of a pandas DataFrame using pandas.DataFrame.rename() method. We want to change the name of multiple columns. Fortunately this is easy to do using the pandas rename() function, which uses the following syntax:. You cannot use inplace=True to update the existing dataframe. The rename function in pandas will let us change the name of the columns we would like. September 17, 2020 November 25, 2020 ~ matt. Pandas has two ways to rename their Dataframe columns, first using the df.rename() function and second by using df.columns, which is the list representation of all the columns in dataframe. Change one or multiple column names with DataFrame.rename() The Pandas DF rename method allows us to rename one or multiple columns. To change column names using rename function in Pandas, one needs to specify a mapper, a dictionary with old name as keys and new name as values. Pandas 0.21+ Answer. This answer is not useful $\endgroup$ – niths4u Nov 28 at 15:52 Often you may want to rename one or more columns in a pandas DataFrame. Same as above example, you can only use this method if you want to rename all columns. ... Rename specific column(s) in Pandas; df1 = df.rename(columns={'Name': 'EmpName'}) print(df1) Output: EmpName ID Role 0 Pankaj 1 CEO 1 Lisa 2 Editor 2 David 3 Author One can change names of specific column easily. The rename method has added the axis parameter which may be set to columns or 1.This update makes this method match the rest of the pandas API. axis: int or string value, 0/’row’ for Rows and 1/’columns’ for Columns; copy: Copies underlying data if True. Only one of these parameters can be used at once. df. I would not call this as rename instead you can define a new Column List and replace the existing one using columns attribute of the dataframe object. Basic Pandas: Renaming a DataFrame column.

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