Customizing Matplotlib charts can help make them more readable and attractive. This is especially important when creating data visualizations to share your results.
Essential customizations for your charts are:
- adding a title
- adding labels for your x and y axes
Adding a Title to a Matplotlib Chart
- plt.title(“Housing Prices”)
Adding Labels to X and Y Axes
- plt.ylabel(“average price”)
There are plenty of other customizations you can make to your plots, but not sure where to include them right now.
One I can show is plt.yticks (and presumably plt.xticks) to manage your x/y illustrations.