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Altair now supports interactive charts #13

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12 changes: 6 additions & 6 deletions INTRO.md
Original file line number Diff line number Diff line change
Expand Up @@ -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."

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