You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: INTRO.md
+6-6
Original file line number
Diff line number
Diff line change
@@ -24,17 +24,17 @@ Many excellent plotting tools are built on top of Matplotlib.
24
24
25
25
[^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.
26
26
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
28
28
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).
30
30
31
-
Altairis 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]
32
32
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.
34
34
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.
36
36
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).
38
38
39
39
"[Bokeh](http://bokeh.pydata.org/en/latest/"Python interactive visualization library") is a Python interactive visualization library that targets modern web browsers for presentation."
0 commit comments