secondary axes 10 times smaller that the main axes using twinx()

Question

I am producing a plot and I want to make the secondary y-axes 10 times smaller than the main y-axes.

ax2 = ax.twinx()
sns.lineplot(data=df["A"], ax=ax)
sns.lineplot(data=df["B"], ax=ax2)

is it possible to do define ax2 = ax.twinx()/10? how can specifcy that ax2 should be 10 times lower than ax? for example if ax goes from 0 to 100, ax2 should go from 0 to 1.

Asked By: Economist_Ayahuasca

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Source

Answer 1

IIUC, use get_ylim and set_ylim to re-adjust the limit of ax2 :

ax2 = ax.twinx()
sns.lineplot(data=df["A"], ax=ax)
sns.lineplot(data=df["B"], ax=ax2)
ax2.set_ylim(0, ax.get_ylim()[1]/100) # <- add this line

NB : If you need a view limit from 0 to 1, you need to divide by 100 and not 10.

Output :

Answered By: Timeless

secondary axes 10 times smaller that the main axes using twinx()

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