Difficulty differentiating cleaned and uncleaned cells

[Goodernews]

Environment data

• VS Code version: 1.78.2
• Data Wrangler Extension version: 0.8.0
• Jupyter Extension version: v2023.4.1011241018
• Python Extension version: v2023.8.0
• OS: Windows_NT x64 10.0.2261
• Pandas version: 2.0.1
• Python and/or Anaconda version: 13.1
• Type of virtual environment used: N/A

Expected behaviour

It is easy to disambiguate between reds and greens.

Actual behaviour

As someone with red-green colour-blindness, it is difficult to tell which cells are highlighted with specific shades of red or green. Specifically, cells where a subtle change is applied.

Base:

Protaopia:

Deuteranopia:

Tritanopia:

Steps to reproduce:

1. Set VS Code to dark mode
2. Run any data wrangler command that highlights cells
3. Use a color-blind simulator or use the "Color filters" in the Windows settings.

Logs

N/A

[Goodernews]

To clarify, I am using the built in Windows accessibility color filters.

[pwang347]

Hi @Goodernews, thanks for creating this issue!

We will look into this. In the meantime, please note that we do include the [+] and [-] icons in the header which should help with identifying which type of diff is shown for the column.

[jruales]

Related: microsoft/vscode#182173