
pandas.DataFrame — pandas 2.3.3 documentation
Two-dimensional, size-mutable, potentially heterogeneous tabular data. Data structure also contains labeled axes (rows and columns). Arithmetic operations align on both row and …
Pandas DataFrames - W3Schools
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.
What are DataFrames? - Databricks
A DataFrame is a data structure that organizes data into a 2-dimensional table of rows and columns, much like a spreadsheet. DataFrames are one of the most common data structures …
Pandas DataFrame - GeeksforGeeks
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 …
How to Use pandas DataFrames in Python to Analyze and …
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 pandas DataFrame: Make Working With Data Delightful
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, …
Different ways to create Pandas Dataframe - GeeksforGeeks
Jul 11, 2025 · Pandas Create Dataframe can be created by the DataFrame () function of the Pandas library. Just call the function with the DataFrame constructor to create a DataFrame.
DataFrame — pandas 2.3.3 documentation
Whether each element in the DataFrame is contained in values.
User Guide — pandas 2.3.3 documentation
For a high level summary of the pandas fundamentals, see Intro to data structures and Essential basic functionality. Further information on any specific method can be obtained in the API …
Intro to data structures — pandas 2.3.3 documentation
DataFrame # DataFrame is a 2-dimensional labeled data structure with columns of potentially different types. You can think of it like a spreadsheet or SQL table, or a dict of Series objects. …