



The rename method outlined below is more versatile and works for renaming all columns or just specific ones. This approach would not work if we want to change the name of just one column. We can modify the column titles/labels by adding the following line:ĭf.columns = Ī problem with this technique of renaming columns is that one has to change names of all the columns in the Dataframe. If we have our labelled DataFrame already created, the simplest method for overwriting the column labels is to call the columns method on the DataFrame object and provide the new list of names we’d like to specify.įor example, if we take our original DataFrame: Its useful when you load a tabular dataset that has no. There are two main ways of altering column titles: Pythons rename column is a method used to change the column names with pandas rename function. The Pandas DF rename method allows us to rename one or multiple columns. To use this, we have to pass a key (the original name of the. Change one or multiple column names with DataFrame.rename(). It allows us to specify the columns’ names to be changed in the form of a dictionary with the keys and values as the current and new names of the respective columns. The Pandas have one in-built function called rename( ) which can change the column name instant. So in this post, we will explore various methods of renaming columns of a Pandas dataframe. This method is a way to rename the required columns in Pandas. Here we discuss two methods for renaming column headers using Python and Pandas: Pandas Rename Method Rename Columns Directly. One of the most common actions while cleaning data or doing exploratory data analysis (EDA) is manipulating/fixing/renaming column names.
