Web Reference: Basic data structures in pandas # pandas provides two types of classes for handling data: Series: a one-dimensional labeled array holding data of any type such as integers, strings, Python objects etc. DataFrame: a two-dimensional data structure that holds data like a two-dimension array or a table with rows and columns. Object creation # Mar 26, 2026 · In this section, we will cover the fundamentals of Pandas, including installation, core functionalities, and using Jupyter Notebook for interactive coding. A DataFrame is a two-dimensional, size-mutable and potentially heterogeneous tabular data structure with labeled axes (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, handle missing values, work with time-series data, and visualize data from a pandas DataFrame.
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