pandas

What pandas is

pandas is a free, open-source Python library for data analysis and manipulation. Its DataFrame object provides integrated indexing for working with tabular data. The library reads and writes formats such as CSV, Excel, SQL, JSON, and Parquet, along with HDF5, Feather, ORC, and Stata. Analysis operations include filtering, summary statistics, custom aggregation, reshaping, pivoting, joins, and merges. Time-series tools work with dates and time-indexed data, including date ranges and frequency operations; plotting uses Matplotlib. pandas supports Linux, macOS, and Windows, and is distributed through conda-forge, PyPI, and source code on GitHub. It requires NumPy and python-dateutil, with tzdata also required on Windows and Pyodide. Some methods need optional dependencies: HDF5 reading requires PyTables, for example, while Markdown output requires tabulate. Optional packages can add capabilities for Excel, SQL databases, cloud storage, plotting, and other tasks. The project is affiliated with NumFOCUS and uses a BSD or similar open-source license.