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.