Pandas set column names

When data is imported into Pandas DataFrame, it sometimes contains incorrect or messy column names, requiring you to go through the tedious process of renaming all or some of them. Pandas set column names messy column names with meaningful ones is an essential step in data cleaning. It makes the entire code more readable and saves a lot of time during the next steps of data processing.

Image by Author. Pandas dataframe has now become mainstream. Everyone is using it for data analytics, machine learning, data engineering, and even software development. Learning to rename columns is the first step in data cleaning, which is the core part of data analytics. In this mini tutorial, we will review four methods that will help you rename single or multiple-column names.

Pandas set column names

Here, we will discuss 5 different ways to rename column names in pandas DataFrame. 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. Example 1: Rename a single column. Example 2: Rename multiple columns. 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. In this example, we will rename the column name using the replace function, we will pass the old name with the new name as a parameter for the column. Skip to content. Change Language. Open In App. Related Articles. Solve Coding Problems. Working with Missing Data in Pandas. Find the profit and loss in the given Excel sheet using Pandas.

Replacing messy column names with meaningful ones is an essential step in data cleaning. Hire With Us.

For more information, see the following article:. The sample code in this article uses pandas version 2. The following DataFrame is used as an example. The columns argument is used for changing column names, and the index argument is used for changing index names. If you want to change either, you should specify only one of columns or index.

In Python, the pandas library provides a powerful and flexible tool for working with tabular data through its DataFrame class. In this article, we will see how we can create a Pandas DataFrame from a dictionary as keys as column names. Below are some of the ways to achieve this task in Python :. In this example, a Python dictionary students containing names as keys and corresponding marks as values is converted to a Pandas DataFrame using pd. In this example, a Python dictionary students with names as keys and corresponding marks as values is converted into a Pandas DataFrame using pd. DataFrame list students. In this example, a Python dictionary students with names as keys and corresponding scores as values is initially converted to a Pandas Series using pd. Skip to content. Change Language.

Pandas set column names

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Recruit With Us. His vision is to build an AI product using a graph neural network for students struggling with mental illness. We use cookies to ensure you have the best browsing experience on our website. However, we can also rename columns and indexes in place by setting the inplace parameter to True. Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features. Vote for difficulty :. Renaming columns and indexes is a common operation in data analysis. Here, we will discuss 5 different ways to rename column names in pandas DataFrame. How to drop multiple column names given in a list from PySpark DataFrame? The inplace argument was deprecated in version 1. Vote for difficulty :.

Flexiple helps you build your dream team of developers and designers. Last updated on 26 Feb When working with Pandas DataFrames, there comes a time when you need to remove certain columns to streamline your analysis or to prepare data for further processing.

Abid Ali Awan 1abidaliawan is a certified data scientist professional who loves building machine learning models. Similarly, you can rename index names of a pandas. Additional Information. We can do it as follows:. Report issue Report. Learn More. Method 3 : replacing the columns string. By default, the rename method returns a new DataFrame with the renamed columns and indexes. DataFrame list zip l1, l2, l3, l4 displaying the DataFrame print team. I simply used a string function str. By subscribing you accept KDnuggets Privacy Policy. Learn how to rename columns in the Pandas Python library. Functional Functional. Article Tags :.