pandas: powerful Python data analysis toolkit

Date: Jul 18, 2019 Version: 0.25.0

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pandas (opens new window) is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python (opens new window) programming language.

See the Package overview (opens new window) for more detail about what’s in the library.

• What’s new in 0.25.0 (July 18, 2019)
• Installation
• Getting started
  • Package overview
  • 10 Minutes to pandas
  • Essential Basic Functionality
  • Intro to Data Structures
  • Comparison with other tools
  • Tutorials
• 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
  • Input/Output
  • General functions
  • Series
  • DataFrame
  • Pandas Arrays
  • Panel
  • Indexing
  • Date Offsets
  • Window
  • GroupBy
  • Resampling
  • Style
  • Plotting
  • General utility functions
  • Extensions
• Development
  • Contributing to pandas
  • Internals
  • Extending Pandas
  • Developer
• Release Notes