Apparently
plt.style.use('seaborn-colorblind')
yields a different color cycle than the one documented in the seaborn docs. Especially the greenish color at the second place can be confusing as we're used to 1. blue 2. orange 3. green colors and so on.
I've translated the seaborn colors via
[ ''.join([f'{int(255 * h):02x}'.upper() for h in c]) for c in sns.color_palette('colorblind') ] > ['0173B2', 'DE8F05', '029E73', 'D55E00', 'CC78BC', 'CA9161', 'FBAFE4', '949494', 'ECE133', '56B4E9']
I guess this should go into https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/mpl-data/stylelib/seaborn-colorblind.mplstyle.
This is a duplicate of #13680; all of matplotlib's packaged "seaborn" style sheets are out of sync with the seaborn library.
Ok thanks for the pointer, I didn't find that discussion. I'd say this issue is superseded by the discussions in #13680 and related issues.
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mwaskom commented on May 18, 2021
This is a duplicate of #13680; all of matplotlib's packaged "seaborn" style sheets are out of sync with the seaborn library.
bixel commented on May 18, 2021
Ok thanks for the pointer, I didn't find that discussion. I'd say this issue is superseded by the discussions in #13680 and related issues.