Adding Custom Annotations
Learn how to add custom annotations to your Plotly figures to augment them with extra information.
We'll cover the following
Graph annotations
We will explore the concept of annotating a graph with a detailed exercise.
Suppose we want to explore our dataset a little bit further, particularly with regard to individuals who are between the age of 18 and 30.
We will first filter these rows with the following pandas
code, where emp2
is our new filtered dataset:
emp2 = employees.loc[employees.Age.between(18, 30)].copy()
With this filtered dataset, let’s extract the age and monthly income of the highest earner using the following code below:
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