Skip to content

Commit 51a3f43

Browse files
authored
Altair now supports interactive charts
1 parent d8851a4 commit 51a3f43

File tree

1 file changed

+6
-6
lines changed

1 file changed

+6
-6
lines changed

INTRO.md

+6-6
Original file line numberDiff line numberDiff line change
@@ -24,17 +24,17 @@ Many excellent plotting tools are built on top of Matplotlib.
2424

2525
[^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.
2626

27-
"[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]
27+
#### Interactive Plotting Libraries
2828

29-
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.
29+
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).
3030

31-
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.
31+
"[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]
3232

33-
[^jake]: See [here](https://speakerdeck.com/jakevdp/visualization-in-python-with-altair).
33+
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.
3434

35-
#### Interactive Plotting Libraries
35+
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.
3636

37-
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).
37+
[^jake]: See [here](https://speakerdeck.com/jakevdp/visualization-in-python-with-altair).
3838

3939
"[Bokeh](http://bokeh.pydata.org/en/latest/ "Python interactive visualization library") is a Python interactive visualization library that targets modern web browsers for presentation."
4040

0 commit comments

Comments
 (0)