pandas: powerful Python data analysis toolkit¶
Date: Jul 18, 2019 Version: 0.25.0
Download documentation: PDF Version | Zipped HTML
Useful links: Binary Installers | Source Repository | Issues & Ideas | Q&A Support | Mailing List
pandas
is an open source, BSD-licensed library providing high-performance,
easy-to-use data structures and data analysis tools for the Python
programming language.
See the Package overview for more detail about what’s in the library.
- What’s new in 0.25.0 (July 18, 2019)
- Installation
- Getting started
- User Guide
- IO tools (text, CSV, HDF5, …)
- Indexing and selecting data
- MultiIndex / advanced indexing
- Merge, join, and concatenate
- Reshaping and pivot tables
- Working with text data
- Working with missing data
- Categorical data
- Nullable integer data type
- Visualization
- Computational tools
- Group By: split-apply-combine
- Time series / date functionality
- Time deltas
- Styling
- Options and settings
- Enhancing performance
- Sparse data structures
- Frequently Asked Questions (FAQ)
- Cookbook
- Pandas ecosystem
- API reference
- Development
- Release Notes