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Home/ Questions/Q 612271
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Editorial Team
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Editorial Team
Asked: May 13, 20262026-05-13T17:52:29+00:00 2026-05-13T17:52:29+00:00

Can you draw the grid lines in a plot with parasitic axes in matplotlib?

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Can you draw the grid lines in a plot with parasitic axes in matplotlib?

I try this, based on the samples for grids and for parasitic axes, but grid drawing is not performed:

from mpl_toolkits.axes_grid.parasite_axes import SubplotHost
import matplotlib.pyplot as plt

fig = plt.figure(1)

host = SubplotHost(fig, 111)
fig.add_subplot(host)

par = host.twinx()

host.set_xlabel("Distance")
host.set_ylabel("Density")
par.set_ylabel("Temperature")

p1, = host.plot([0, 1, 2], [0, 1, 2], label="Density")
p2, = par.plot([0, 1, 2], [0, 3, 2], label="Temperature")

host.axis["left"].label.set_color(p1.get_color())
par.axis["right"].label.set_color(p2.get_color())

host.grid(True)

host.legend()

plt.show()
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  1. Editorial Team
    Editorial Team
    2026-05-13T17:52:30+00:00Added an answer on May 13, 2026 at 5:52 pm

    From the discussion here it looks like this is a bug in the .99 release.

    (I’m not sure why it works for doug but no combination of rcParams works for me on version 0.99.1.1-r1.)

    From that link the answer is to make a call to:

    host.toggle_axisline(False)
    

    What the toggle_axisline does is simply to make the xaxis and yaxis
    (which are responsible for drawing ticks, ticklabels, etc in the
    mainline mpl) visible again, and make axis[“bottom”] and etc
    invisible.

    The whole program becomes:

    from mpl_toolkits.axes_grid.parasite_axes import SubplotHost
    import matplotlib.pyplot as plt
    
    fig = plt.figure(1)
    
    host = SubplotHost(fig, 111)
    fig.add_subplot(host)
    
    par = host.twinx()
    
    host.set_xlabel("Distance")
    host.set_ylabel("Density")
    par.set_ylabel("Temperature")
    
    p1, = host.plot([0, 1, 2], [0, 1, 2], label="Density")
    p2, = par.plot([0, 1, 2], [0, 3, 2], label="Temperature")
    
    host.axis["left"].label.set_color(p1.get_color())
    par.axis["right"].label.set_color(p2.get_color())
    
    host.toggle_axisline(False)
    host.grid(True)
    
    host.legend()
    
    plt.show()
    

    enter image description here

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