From the course: Python for Data Science and Machine Learning Essential Training Part 1

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Creating labels and annotations

Creating labels and annotations - Python Tutorial

From the course: Python for Data Science and Machine Learning Essential Training Part 1

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Creating labels and annotations

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- [Instructor] Labels and annotation add a deeper layer of context to a plot, enabling the plot to convey extra meaning to its viewers. In this section, I'm going to show you how to label plot features, add a legend to your plot, and annotate features on your plot. But before that, let me give you an example of where this comes in handy. Data journalists often add a lot of context and annotation to their visualizations in order to add and augment the story they're telling. For example, imagine you're a data journalist covering a story of tourism in central Florida. You'd use a simple line chart to show the number of travelers over time. But if you're telling a story about the success of a grand opening of a new theme park, you may want to add some text about how many visitors came to the grand opening. You then may also want to add a pointer that ties that text into the date of the park's grand opening. There are two methods for labeling and annotating. Again, the functional and…

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