in Python Pandas is the fastest and easiest to use plotting in python, this is especially true if you already happen to by using a Pandas DataFrame. And 90% of a data scientist's work is manipulating a Pandas DataFrame as your work with the data you are putting into your Sklearn model.
Pandas makes its easier to plot different scales together as well. Here we have two continuous features but unfortunately, if we wanted to plot them together the different scales of features make plotting very difficult to gain insights when plotted on the same axis.
We can fix the issue created by plotting different scales on the same y-axis by splitting the axis or in other words plotting on the right axis with the second feature.
Learn how to plot one continuous feature on the left axis and one continuous feature on the right axis. This will help with your data analysis and enable your to inspect the pattern between features now that the scale isn't obscuring the patterns.