This process is called renaming the DataFrame column. Here we have two examples of how to rename columns in a Pandas DataFrame. It is always possible to rename the label of a column in DataFrame. The most common way to rename columns in a Pandas dataframe is to use the rename() function. it includes renaming all the column, rename column by index and rename column by column name. To use this, we have to pass a key (the original name of. Example on how to rename the column of dataframe in pandas. Looking at renaming columns, lets see how the hidden copying mechanism leads. Only the second method is suitable to partially replace the column names. Renaming DataFrame Columns Using Dictionaries & Lists. The Pandas have one in-built function called rename( ) which can change the column name instant. Pandas performance gets slowed down by copying going on underneath the hood. To rename a specific subset of column names, inplace=True) ''' Method 2: Renaming Specific Attributes with DataFrame.rename() Here’s how you’d solve the example given above: > df.columns = įor ease of copy&paste, here’s the full source code to change the column names in an existing DataFrame: import pandas as pd To change the original column names of a given DataFrame, assign the new column names to the attribute df.columns using df.columns =. Given a list of strings that are the new column names. You want to rename the column names to so that the resulting DataFrame is: a b cġ 2 4 6 Method 1: Changing the lumns Attribute Here’s an example using the following DataFrame: Col_A Col_B Col_C The rename() method takes a columns parameter, which is a. Method 2: assigning list of new column names. How to change the column names to replace the original ones? To rename the column names of a Pandas DataFrame, you can use the DataFrame.rename() method. In this mini tutorial, we will review four methods that will help you rename single or multiple-column names. Renaming Columns in Pandas We will accomplish two things: Show two ways to rename columns in pandas Show the most perfomant method. Renaming the columns through a list in pandas requires knowing the shape of the dataset you have. Extra labels listed don’t throw an error. Labels not contained in a dict / Series will be left as-is. Here we can change the netsales column in our dataset to profit, doing. 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. Function / dict values must be unique (1-to-1). This function is rename(), which lets you change index names and/or column names. 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. Given a Pandas DataFrame with column labels, and DataFrame.rename(mapperNone,, indexNone, columnsNone, axisNone, copyNone, inplaceFalse, levelNone, errors'ignore') source Alter axes labels.The updated column names are then assigned back to the columns attribute of the DataFrame. columns attribute and then applied the str.replace() method to each column name. So, accessed the columns of the DataFrame using the. In the above example, used the str.replace() method to replace the 'School_' character in all column names with 'Class_'. # replace 'School_' in all column names with 'Class_'ĭf.columns = df.('School_', 'Class_')Ĭlass_Name Class_TotalMarks Class_Grade Class_Promoted The Pandas DataFrame rename() method can be used to rename one or more columns at once:ĭf = df.rename(columns=
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