Python to Adobe Illustrator to ai2html data viz workflow (2022 update)

Опубликовано: 21 Февраль 2022
на канале: Jonathan Soma
2,310
35

A quick introduction to the popular data journalism workflow of exporting Python or R charts (created using matplotlib, pandas, ggplot, Altair, etc) as SVG or PDF files, cleaning them up for production in Adobe Illustrator, and then exporting them for embedding on web pages as HTML using ai2html.

If you're curious about WHY to use ai2html, check out these old videos    • ai2html: A Baby Steps Introduction to...   or    • Responsive Data Visualizations in Ill...   (they have some out-of-date information on how to use the script, but you'll get the idea!)

If you're curious about HOW to clean up charts using Illustrator, you'll want another video of mine (that I haven't made yet!)

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LINKS

Code for the walkthrough: https://github.com/jsoma/ai2html-walk...
ai2html: http://ai2html.org/
Plotnine (ggplot for Python): https://plotnine.readthedocs.io/
My plotnine reference: https://jsoma.github.io/plotnine-refe...
Visualizing in pandas: https://pandas.pydata.org/pandas-docs...
Altair visualization library: https://altair-viz.github.io/

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CHAPTERS

00:00 Introduction
00:37 Building our chart
02:23 Saving an SVG
04:38 Preventing text export problems
05:45 Opening in Illustrator
07:23 Ungrouping and removing clipping masks
08:28 Cleaning the visualization
10:35 Downloading and installing ai2html
11:26 Using ai2html
12:37 Examining the output
13:31 Adding the ai2html export to our page
16:22 Reviewing our work
16:48 Reviewing the workflow


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