Two-dimensional, size-mutable, potentially heterogeneous tabular data. Data structure also contains labeled axes (rows and columns). Arithmetic operations align on both row and …

What is a DataFrame? A Pandas DataFrame is a 2 dimensional data structure, like a 2 dimensional array, or a table with rows and columns.

In this tutorial, you'll get started with pandas DataFrames, which are powerful and widely used two-dimensional data structures. You'll learn how to perform basic operations with data, …

Dec 6, 2025 · In this article, we’ll see the key components of a DataFrame and see how to work with it to make data analysis easier and more efficient. Pandas allows us to create a …

Sep 27, 2025 · The DataFrame is the primary data format you'll interact with. Here's how to make use of it. What is pandas? pandas is a Python module that's popular in data science and data …

The DataFrame() function converts the 2-D list to a DataFrame. Each nested list behaves like a row of data in the DataFrame. The columns argument provides a name to each column of the …

A dataframe is a data structure constructed with rows and columns, similar to a database or Excel spreadsheet. It consists of a dictionary of lists in which the list each have their own identifiers …

Jun 9, 2025 · A pandas DataFrame represents a two-dimensional dataset, characterized by labeled rows and columns, making it a versatile and immutable tabular structure. It comprises …

It means the dataframe stores data in a tabular format i.e., rows and columns. This article shows how to create a DataFrame, and access, and alter rows and columns.

The DataFrame lets you easily store and manipulate tabular data like rows and columns. A dataframe can be created from a list (see below), or a dictionary or numpy array (see bottom).