matplotlib get_color for subplot

Question

I am following the tutorial from here: https://matplotlib.org/gallery/ticks_and_spines/multiple_yaxis_with_spines.html
However, the example used is for a single plot and I'm currently working with subplots. My version is the following:

    p1 = tr[names['equity']].plot(ax=ax3, linewidth = 0.75)
    axb = ax3.twinx()
    axb.spines["right"].set_position(("axes", 0.5))
    p2 = tr[names[local_rating]].plot(ax=axb, c= 'r', linewidth = 0.75)
    axb.grid(False)
    axb.margins(x=0)
    axc = ax3.twinx()    
    p3 = tr[names['vol']].plot(ax=axc, c = 'g', linewidth = 0.75)
    axc.grid(False)
    axc.margins(x=0)
    ax3.yaxis.label.set_color(p1.get_color())
    axb.yaxis.label.set_color(p2.get_color())
    axc.yaxis.label.set_color(p3.get_color())

When I try to do pX.get_color() I get:

AttributeError: 'AxesSubplot' object has no attribute 'get_color'

My question is: what method should I use to recover a subplot's color?

I'm aware that I could manually set the color to match since it's a small number of instructions, but I'm just wondering if there is another way.

Thanks

Answer 1

This has nothing to do with subplots. You are using the pandas plotting function instead of the matplotlib plot function as in the example.

An axes indeed has no color. If you are interested in the color of the lines inside the axes you may use e.g.

ax.get_lines()[0].get_color()

to get the color of the first line in the axes ax.