pandas: powerful Python data analysis toolkit

Date: Jan 21, 2020 Version: 1.0.0rc0+132.ga4b2c8db9

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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 1.1.0 (??)

• Getting started

  • Installation

  • 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

  • Nullable Boolean Data Type

  • Visualization

  • Computational tools

  • Group By: split-apply-combine

  • Time series / date functionality

  • Time deltas

  • Styling

  • Options and settings

  • Enhancing performance

  • Scaling to large datasets

  • Sparse data structures

  • Frequently Asked Questions (FAQ)

  • Cookbook

• Pandas ecosystem

• API reference

  • Input/output

  • General functions

  • Series

  • DataFrame

  • Pandas arrays

  • Panel

  • Index objects

  • Date offsets

  • Window

  • GroupBy

  • Resampling

  • Style

  • Plotting

  • General utility functions

  • Extensions

• Development

  • Contributing to pandas

  • pandas code style guide

  • Internals

  • Extending pandas

  • Developer

• Release Notes

What’s new in 1.1.0 (??)