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  1. pandas.DataFrame — pandas 3.0.0 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 column labels. Can be …

  2. 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.

  3. 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 DataFrame from many …

  4. 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 used in modern …

  5. 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, handle missing …

  6. GitHub - pandas-dev/pandas: Flexible and powerful data ...

    Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more - pandas-dev/pandas

  7. Pandas Dataframe - Python Tutorial

    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).