Summary
Specifying the "dark_background" style defined by matplotlib breaks some ultraplot's layouts. For example, coloring axes, drawing ticks, defining an alt-axis, etc.
So, I would like to know whether there is a workaround for manually configuring the context's parameters, or how to define compatible style settings.
Reproducer
This is an example script that shows a graph with wrong minor ticks shown on an altered y-axis and missing axis coloring.
with uplt.rc.context(style="dark_background"):
fig, ax = uplt.subplots()
ax.format(ycolor="C0", ylabel="Left Axis")
ax2 = ax.alty(color="C1")
ax2.format(ycolor="C1", ylabel="Right Axis", ylim=(0, 1)) # Here, not specifying "ycolor" doesn't change the tick label color.
Summary
Specifying the "dark_background" style defined by matplotlib breaks some ultraplot's layouts. For example, coloring axes, drawing ticks, defining an alt-axis, etc.
So, I would like to know whether there is a workaround for manually configuring the context's parameters, or how to define compatible style settings.
Reproducer
This is an example script that shows a graph with wrong minor ticks shown on an altered y-axis and missing axis coloring.