![]() Furthermore, don’t forget to subscribe to my email newsletter in order to receive updates on new tutorials. Don’t hesitate to let me know in the comments section below, if you have further comments or questions. In this article, I have explained how to modify the name of a pandas DataFrame column by index in Python programming. Basic Course for the pandas Library in Python.Get Index of Column in pandas DataFrame in Python.Insert Column at Specific Position of pandas DataFrame in Python.Count Unique Values by Group in Column of pandas DataFrame in Python.Sort pandas DataFrame by Column in Python.Method 2: assigning list of new column names. Set Index of pandas DataFrame in Python In this mini tutorial, we will review four methods that will help you rename single or multiple-column names.Get pandas DataFrame Column as List in Python.You can find some interesting tutorials below: If you accept this notice, your choice will be saved and the page will refresh.īesides that, you might read some of the other Python tutorials on my homepage. By accepting you will be accessing content from YouTube, a service provided by an external third party. The () is the best option only when we want to replace some characters with other characters.Please accept YouTube cookies to play this video. Renaming a column or multiple columns in a Pandas dataframe is a very common task during that process and is quite straightforward to do using Pandas. We can also rename columns while reading the CSV file itself, which is also a good option. The columns attribute is the easiest method, but the main drawback of that is we have to pass all the columns even if we want to rename only a few columns. In the following set of examples, we will learn. The best method which I consider is the rename() method where we have to pass only those columns which we want to rename in the dictionary (key, value) format. You can rename a single column or multiple columns of a pandas DataFrame using () method. In this article, we show different methods on how to rename the columns. This method is used to rename the index along with the column as shown below: Method 5: Renaming Columns Using set_axis( ) The above method also has the facility of the index (df.()). Summary Change Column Name in Pandas Use the pandas dataframe rename() function to change the name of one or more columns. This method is basically used when we want to change some phrases to some other phrases and not want to change the full column rename like space to underscore, etc.įrom the above result, we can see that now spaces override with the underscore. In the above, we rename only the first and last column of the csv file and for that we pass the index values of the columns (0 and 3) to the usecols attribute. Then, we have to use the usecols attribute and mention the index values of those columns inside of that as shown below: But sometimes, we need to rename only a few columns. csv method, we rename the columns while using the list, and we pass all new columns inside of that list. csv file with the new columns which we pass through the names attribute. We use the one attribute header=0, which means that we override the previous columns of the. ![]() ![]() For that, we have to create a list of columns and pass that list as a parameter to the names attribute while reading the csv. We can also rename the columns during the read_csv itself. Method 3: Rename the Column Name Using the read_csv File The main drawback to using the list method to rename a column’s name is that we have to pass all the column names even if we want to change only a few column names. Syntax to change column names in pandas dataframe explained with example. We have to pass a new list of columns and assign to the columns attribute as shown below: Learn to rename columns in pandas dataframe with an easy to understand tutorial. So, by using this columns attribute, we can also rename the column name. Pandas DataFrame has also given an attribute name column which helps us to access all column names of a Dataframe. When I need to apply successive steps of data transformation to a DataFrame (i.e. We can also use another option inplace to True which do changes directly to the existing Dataframe by default inplace is False.įrom the above result, we can see that the names of the columns changed. Rename pandas DataFrame columns in method chaining. To use this, we have to pass a key (the original name of the column) and value (the new name of the column) form to the rename function under the column attribute. The Pandas have one in-built function called rename( ) which can change the column name instant. The dictionary allows us to provide a mapping between the old column name and the new one that we want. ![]() Here we can pass in a dictionary to the columns keyword argument. In the above Dataframe, we can see that we have four columns. The first method of renaming columns within a pandas dataframe we will look at is the. We created a Dataframe (df), which we will use to show different rename( ) methods. ![]()
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