Pandas library Aug 7, 2023 · Pandas shape() Function: It returns a tuple representing the dimensionality of the Pandas DataFrame. It provides data structures like series and dataframes to effectively easily clean, transform, and analyze large datasets and integrates seamlessly with other python libraries, such as numPy and matplotlib. May 3, 2024 · Pandas is a powerful, open-source library in Python specifically designed for data manipulation and analysis. You can learn more about pandas in the tutorials, and more about JupyterLab in the JupyterLab documentation. You can also reference the pandas cheat sheet for a succinct guide for manipulating data with pandas. Series means that we are calling the Series method from the pd (alias for pandas!) library we have loaded in our environment. It provides data structures and functions needed to manipulate structured data, including functionalities for manipulating and analyzing data frames. Learn how to use pandas with getting started guides, user guide, API reference and developer guide. According to the library’s website , pandas is “a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming Pandas Tutorials & Examples. For a high level summary of the pandas fundamentals, see Intro to data structures and Essential basic functionality. cjneaiapbluyynlioogytorfnfzoaeejyhcardacjpippersvebkliqnromscwplluzcssk