This is a useful example for converting a matplotlib barchart to D3 with an initial animation. Using this template, you can quickly generate a nice dynamic barchart using all of your favorite matplotlib styles, and add more advanced interactions without dealing with a lot of additional formatting.
See barchart.py
for code used to generate barchart.svg
. It generates a simple barchart with some basic formatting. Matplotlib's savefig
function will automatically output an svg format if the filepath has a .svg extension. The key is to assign a unique gid to each bar using set_gid
, so it is simple to find the bars when you read the svg using d3.xml
.
https://d3js.org/d3.v4.min.js
https://d3js.org/d3-ease.v1.min.js
https://d3js.org/d3-queue.v3.min.js
https://d3js.org/d3-selection.v1.min.js
https://d3js.org/d3-transition.v1.min.js