Cleaning up a Python data visualization in Adobe Illustrator (pandas to ai2html) скачать в хорошем качестве

Cleaning up a Python data visualization in Adobe Illustrator (pandas to ai2html)

How to take a data viz from Python (matplotlib/pandas/ggplot/plotnine) and clean it up in Illustrator. This isn't a real how-Illustrator-works tutorial – it's more of a view about how visual data journalists or graphics desks use Illustrator – but we'll touch on selection tools, artboards, font sizes, swatches, annotations, and more. And yes, I know I could use v and groups and all sorts of shortcut keys to make this more effective and efficient, but they're tough to use in a video for Illustrator newbies! I highly recommend you get into using shortcut keys, though, as they'll easily cut your edit time in half. ===== LINKS Previous video about exporting from Python and using ai2html:    • Python to Adobe Illustrator to ai2html dat...   Fixing font issues in ai2html: https://gist.github.com/jsoma/631621e... ai2html walkthrough repo: https://github.com/jsoma/ai2html-walk... Text shadows and glowing text in ai2html: https://github.com/jsoma/ai2html-walk... ===== CHAPTERS 00:00 Intro 00:55 Opening the file 01:34 Window setup 02:25 Black and white arrows (selection tools) 03:29 Groups and ungrouping 06:34 Deleting things we don't want 07:32 Artboards and export size 10:18 Removing the background 11:03 Cleaning up text 13:19 Deleting more things 14:19 Setting up the vertical axis 18:18 Aligning text with other text 20:54 Aligning text with objects 23:30 Deleting with Select Same Appearance 24:18 Resizing with Transform Each 26:24 Swatches and changing colors with Select Same Fill 29:07 Resizing the entire graphic, fixing font sizes after resizing 30:28 Grouping objects for easy moving 31:15 Creating our legend items 34:25 Spacing our legend items 36:04 Highlighting a section of the chart 38:40 Annotating a single element 41:26 Color matching text with visual elements 41:58 Outro