Multiple Y-axis With Matplotlib With Twinx
Question: How to apply twinx with Pandas & matplotlib I know that this question has been answered by people multiple times but I just cant get my head around it. Any help will
Solution 1:
Here is how you would do what you are trying to achieve.
I create two axes ax1
, and ax2 = ax1.twinx()
, then I use pandas' plot
function to plot a subset of the columns (using y=[<list of columns>]
), but the import part is to tell pandas which axes to use when plotting, hence df.plot(..., ax=ax1)
and df.plot(..., ax=ax2)
. The rest of the code is just decorations.
fig, ax1 = plt.subplots()
ax2 = ax1.twinx()
df3.plot(x='Year',y='Average Premium', ax=ax1)
df3.plot(x='Year',y=['Mercedes Benz','Nissan','Honda','Toyota','Mazda'], ax=ax2)
ax1.set_title('Comparison of Demand of Car Brand with COE prices ',fontsize = 15)
ax1.set_xlabel('Year',fontsize=12)
ax1.set_ylabel('Average Premium', fontsize=12)
ax2.set_ylabel('2nd axis label', fontsize=12)
plt.tight_layout()
plt.show()
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