Title and Axes
Explore how to customize plot titles and axes using Plotly's update_layout method. Learn to adjust text, fonts, positions, tick formatting, and grid properties to create clear and professional visualizations tailored to your data.
Customizing titles and axes
In this course, we will use the fig.update_layout() method to adjust the aesthetic element of our plot(s). We can customize the title, x-axis, y-axis, and more. This becomes exceptionally powerful when addressing client demands and business needs.
We will start by using a customer churn dataset.
Updating the title
To adjust only the title text, we can simply pass a string to the title keyword argument in the fig.update_layout() method. The same applies to the x and y axes, where we can simply pass a string to the xaxis_title and yaxis_title keyword arguments.
In the plot below, we have a box plot that investigates the spread of the peoples’ ages in each country. Hence it is suitable to give this graph the title of Ages by Country. We’ll also label the x-axis as Country and the y-axis as Age. Pay close ...