On the recordRead 5 Oct 202615 facts
pandas
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pandas
Free
Open-source Python library · Install via conda-forge, PyPI, or source code
Read 5 Oct 2026 · pandas.pydata.org
On the record
- Analysis
- It supports filtering, summary statistics, custom aggregation, reshaping, pivoting, joins, and merges.pandas.pydata.org · read 5 Oct 2026
- Data formats
- It reads and writes formats including CSV, Excel, SQL, JSON, and Parquet.pandas.pydata.org · read 5 Oct 2026
- DataFrames
- It provides an efficient DataFrame object for data manipulation with integrated indexing.pandas.pydata.org · read 5 Oct 2026
- Dependencies
- pandas requires NumPy and python-dateutil; tzdata is required on Windows and Pyodide.pandas.pydata.org · read 5 Oct 2026
- Installation
- The pandas development team distributes it through conda-forge, PyPI, and source code on GitHub.pandas.pydata.org · read 5 Oct 2026
- Integrations
- Optional dependencies add features for Excel, SQL databases, cloud storage such as Amazon S3 and Google Cloud Storage, plotting, and other tasks.pandas.pydata.org · read 5 Oct 2026
- Optional requirements
- Some methods require optional dependencies; for example, reading HDF5 requires PyTables and Markdown output requires tabulate.pandas.pydata.org · read 5 Oct 2026
- Performance
- The library says critical code paths are written in Cython or C.pandas.pydata.org · read 5 Oct 2026
- Project
- The project is affiliated with the NumFOCUS Foundation and releases its software under a BSD or similar open-source license.pandas.pydata.org · read 5 Oct 2026
- Purpose
- pandas is an open-source tool for data analysis and manipulation built on Python.pandas.pydata.org · read 5 Oct 2026
- Support
- The website directs users to ask questions on Stack Overflow and provides documentation and community tutorials.pandas.pydata.org · read 5 Oct 2026
- Supported systems
- The documentation describes installation on Linux, macOS, and Windows.pandas.pydata.org · read 5 Oct 2026
- Time series
- It includes tools for date, time, and time-indexed data, including date-range and frequency operations.pandas.pydata.org · read 5 Oct 2026
- Visualization
- It provides plotting that uses Matplotlib.pandas.pydata.org · read 5 Oct 2026
