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  3. Introduction to Data Visualization with Matplotlib

Exercise

Customizing axis labels and adding titles

Customizing the axis labels requires using the set_xlabel and set_ylabel methods of the Axes object. Adding a title uses the set_title method.

In this exercise, you will customize the content of the axis labels and add a title to a plot.

As before, the data is already provided in pandas DataFrame objects loaded into memory: seattle_weather and austin_weather. These each have a "MONTH" column and a "MLY-PRCP-NORMAL" column. These data are plotted against each other in the first two lines of the sample code provided.

In addition, a Figure object named fig and an Axes object named ax have already been created for you.

Instructions

100 XP
  • Use the set_xlabel method to add the label: "Time (months)".
  • Use the set_ylabel method to add the label: "Precipitation (inches)".
  • Use the set_title method to add the title: "Weather patterns in Austin and Seattle".