Python可视化绘图库：Altair必备工具详解

https://altair-viz.github.io/index.html

Altairis a declarative statistical visualization library for Python, based onVegaandVega-Lite, and the source is available onGitHub.

With Altair, you can spend more time understanding your data and its meaning. Altair’s API is simple, friendly and consistent and built on top of the powerfulVega-Litevisualization grammar. This elegant simplicity produces beautiful and effective visualizations with a minimal amount of code.

Getting Started

Overview

Installation

Basic Statistical Visualization

Gallery

Example Gallery

User Guide

Specifying Data in Altair

Encodings

Marks

Data Transformations

Bindings, Selections, Conditions: Making Charts Interactive

Top-Level Chart Configuration

Compound Charts: Layer, HConcat, VConcat, Repeat, Facet

Scale and Guide Resolution

Saving Altair Charts

Customizing Visualizations

Times and Dates in Altair

Frequently Asked Questions

Display Troubleshooting

Altair Renderers

Altair Internals: Understanding the Library

API Reference

Altair Ecosystem

Case Studies

Exploring Seattle Weather

Advanced Usage

Importing Vega & Vega-Lite Versions

Displaying Charts in Various Frontends

Customizing Renderers

Data transformers

Installation

To use Altair for visualization, you need to install two sets of tools

The core Altair Package and its dependencies

The renderer for the frontend you wish to use (i.e.Jupyter Notebook,JupyterLab,Colab, ornteract)

Additionally, Altair’s documentation makes use of thevega_datasetspackage, and so it is included in the installation instructions below.

Depending on the frontend you would like to use, the instructions differ slightly. See the following instructions for your chosen frontend:

Quick Start: Altair + JupyterLab

Quick Start: Altair + Notebook

Quick Start: Altair + Colab

Quick Start: Altair + JupyterLab

We recommend installing Altair with JupyterLab. If you would like to use it with the classic notebook, seeQuick Start: Altair + Notebook.

Altair version 3 works best with JupyterLab version 1.0 or later.

To install JupyterLab and Altair with conda, run the following command:

$ conda install -c conda-forge altair vega_datasets jupyterlab

To install JupyterLab and Altair with pip, run the following command:

$ pip install -U altair vega_datasets jupyterlab

Once this is finished, run:

$ jupyter lab

In the browser window that launches, select “File”->”New”->”Notebook” and then click “Select” without changing the kernel (it should say “Python 2” or “Python 3” depending on which Python version you are running).

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