From 51a3f43a0de18fd58f5c985793fa29085112130d Mon Sep 17 00:00:00 2001 From: Dominik Moritz Date: Mon, 16 Jul 2018 10:53:48 -0700 Subject: [PATCH] Altair now supports interactive charts --- INTRO.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/INTRO.md b/INTRO.md index e53a4b5..4082c55 100644 --- a/INTRO.md +++ b/INTRO.md @@ -24,17 +24,17 @@ Many excellent plotting tools are built on top of Matplotlib. [^ggpy]: There is also [ggpy](https://github.com/yhat/ggpy "ggplot port for python"), a ggplot2 port, from the company formerly known as yhat. It appears to be abandoned. -"[Altair](https://altair-viz.github.io/ "Declarative Visualization in Python") is a declarative statistical visualization library for Python, based on [Vega-Lite](https://vega.github.io/vega-lite/ "Vega-Lite: A High-Level Visualization Grammar")." According to Jake Vanderplas, "Declarative visualization lets you think about data and relationships, rather than incidental details."[^jake] +#### Interactive Plotting Libraries -Fundamentally, Altair renders JSON-descriptions of plots that are rendered by Vega-Lite; this JSON could be rendered by other backends as well, and I'm told a Matplotlib backend is under development. +There are several tools that can make the kinds of plots described here. At present, I have little experience with them. If anyone would like to help add examples, please [get in touch](https://github.com/tdhopper/pythonplot.com). -Altair is new on the scene and offers a lot of promise; it will have significant changes in the 2.0 release. I hope to add Altair examples here once 2.0 is released. +"[Altair](https://altair-viz.github.io/ "Declarative Visualization in Python") is a declarative statistical visualization library for Python, based on [Vega-Lite](https://vega.github.io/vega-lite/ "Vega-Lite: A High-Level Visualization Grammar for Interactive Graphics")." According to Jake Vanderplas, "Declarative visualization lets you think about data and relationships, rather than incidental details."[^jake] -[^jake]: See [here](https://speakerdeck.com/jakevdp/visualization-in-python-with-altair). +Fundamentally, Altair renders JSON-descriptions of plots that are rendered by Vega-Lite; this JSON could be rendered by other backends as well, and I'm told a Matplotlib backend is under development. -#### Interactive Plotting Libraries +Altair is new on the scene and offers a lot of promise. I hope to add Altair examples here now that 2.0 is released. -There are several tools that can make the kinds of plots described here. At present, I have little experience with them. If anyone would like to help add examples, please [get in touch](https://github.com/tdhopper/pythonplot.com). +[^jake]: See [here](https://speakerdeck.com/jakevdp/visualization-in-python-with-altair). "[Bokeh](http://bokeh.pydata.org/en/latest/ "Python interactive visualization library") is a Python interactive visualization library that targets modern web browsers for presentation."