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Introduction to Python for Data Science

Introduction
Line plots
7. Grids, titles and labels
Multiple histograms
Other plot types
Summary

Instruction

Excellent! At this point, we only need some final touches to the subplot:

subplot.grid(axis='y')
subplot.set_title('Mean temperatures in Toronto and Barcelona')
subplot.set_xlabel('month')
subplot.set_ylabel('mean temperature')
  • Line 1 adds horizontal lines to the y-axis to increase readability.
  • Line 2 sets the title that will be visible above the subplot.
  • Line 3 sets the label of the x-axis.
  • Line 4 sets the label of the y-axis.
  • The result looks like this:

Sample plot

As you can see, creating a visually appealing line plot is quite easy! Mind that you can use the set_xlabel, set_ylabel, and set_title to all kinds of plots and subplots.

Exercise

Add the following elements to finish your line plot:

  • Subplot title: Book Sales,
  • X-axis label: year,
  • Y-axis label: profit,
  • Grid for both axes (tip: use axis = 'both').

Stuck? Here's a hint!

To add a grid for both axes, use:

subplot.grid(axis='both')