You can get sea colors by default using seaborn.color_palette() (there are several different palettes that you can get through this function). So you can do:
t = np.arange(0.0, 2.0, 0.01) s = np.sin(2*np.pi*t) plt.plot(t, s, c=seaborn.color_palette()[2]) plt.plot(t, 2*s, c=seaborn.color_palette()[2])
You need to go through the default palette yourself and determine which value matches the color, there are no useful names, such as "red" attached to the RBG values, from what I saw.
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