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Introduction to Python for Data Science

Introduction
Line plots
4. Adding lines to subplots
Multiple histograms
Other plot types
Summary

Instruction

Great! Now that we have an empty subplot, it's time to draw some lines on it!

figure = plt.figure(figsize=(10, 6))
subplot = plt.subplot()
subplot.plot(climate['Toronto'])
subplot.plot(climate['Barcelona'])
plt.show()

Line 3 means: take the Toronto column from the climate DataSeries and plot a line with its values in the subplot. A single subplot can show multiple lines – below line 3, we also added line 4 with the Barcelona data. The result looks like this:

Sample plot

You can see that matplotlib changed our x-axis and y-axis to match the lines. That's a very convenient feature.

Exercise

Add three lines to the subplot:

  • The first line is for romance books.
  • The second line is for fantasy books.
  • The third line is for thriller books.

Stuck? Here's a hint!

Create the first plot with:

subplot.plot(books['romance'])