![]() Stay tuned for more informative articles. You might also like this article on dictionary comprehension in python. To know more about python programming, you can read this article on list comprehension in python. In this article, we have discussed various ways to rename specific columns in a dataframe. In the above example, you can observe that the original dataframe has been modified after using the ‘ inplace’ parameter. New_df = df1.rename(columns=,inplace=True) ![]() You can observe this in the following example. After execution, the rename() method will return a new dataframe in which the specific column given in the input dictionary is renamed. The mapping should contain the column name that needs to be renamed as key, and the new column name should be the value associated with the key in the dictionary. The rename() method, when invoked on a dataframe, takes a dictionary mapping as its input argument. Instead of using the ‘ values’ array, we can use the rename() method to rename specific columns in a dataframe. Suggested Reading: Regression in Machine Learning Rename Specific Columns in a Dataframe Using the rename() Method 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 change will be reflected in the dataframe too. Method 1: Using rename () function One way of renaming the columns in a Pandas Dataframe is by using the rename () function. To change multiple column names at once, you can also change multiple values in the values array. Output: The dataframe before modification is: Print("The dataframe after modification is:") Print("The dataframe before modification is:")ĭf1.columns.values = "Registration Number" Thus, the “Roll Number” column name will be changed to “Registration Number” column name in the dataframe. The above change is reflected in the column names of the pandas dataframe. For instance, we can change the value “Roll Number” to “Registration Number” in the values array as follows. ![]() To rename specific columns in the dataframe, we can change the elements of the values array. The Index object contains the ‘ values’ attribute in which all the column names are stored in an array as shown below. ![]() To use this, we have to pass a key (the original name of. Furthermore, don’t forget to subscribe to my email newsletter in order to receive updates on new tutorials.Index(, dtype='object') The Pandas have one in-built function called rename( ) which can change the column name instant. 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.Set Index of pandas DataFrame in Python.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. Please accept YouTube cookies to play this video.
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