Given a Pandas DataFrame, let’s see how to rename columns in Pandas with examples. Here, we will discuss 6 different ways to rename column names in pandas DataFrame.
About Pandas DataFrame:
Pandas DataFrame is a rectangular grid that is used to store data. It is easy to visualize and work with data when stored in dataFrame.
It consists of rows and columns.
Each row is a measurement of some instance while the column is a vector that contains data for some specific attribute/variable.
Each Dataframe column has homogeneous data throughout any specific column but Dataframe rows can contain homogeneous or heterogeneous data throughout any specific row.
Unlike two-dimensional arrays, pandas’ Dataframe axes are labeled.
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. 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.
The columns can also be renamed by directly assigning a list containing the new names to the columns attribute of the Dataframe object for which we want to rename the columns. The disadvantage of this method is that we need to provide new names for all the columns even if want to rename only some of the columns.
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