Date: Jan 20, 2020 Version: 1.0.0rc0+116.g1e777eb25
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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.
pandas
Pandas has a lot of documentation. A high-level overview of how it’s organized will help you know where to look for certain things:
TODO -> 4 blokken (cfr. coming from)
Getting started contains a _gentle_intro first introduction to some of the main pandas core concepts. Furthermore, it contains an overview of
community_guides community provided tutorials. - User Guide provides in-depth information on the key concepts of pandas with useful background information and explanation. - API reference contains a technical reference of the pandas API and available functionalities. The reference describes how the methods work and which parameters can be used. It assumes that you have an understanding of the key concepts. - Saw a typo in the documentation? Want to improve existing functionalities. The Development guidelines will guide you through the process of setting up a development environment.
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Binary Installers | Source Repository |
What’s new in 1.1.0 (??)
Getting started
Installation
Package overview
10 minutes to pandas
Getting started tutorials
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