Combining annotations and color
You believe that Long Beach, California has a smog problem. Using the pollution data, you'll attempt to make a point for increasing smog reduction regulations using your data visualization wizardry. Specifically, you want to focus on the relationship of CO to O3 levels during 2014 at a city council meeting.
To emphasize how Long Beach compares to a set of peer cities, you've decided to highlight Long Beach and draw attention to a particularly bad day where the CO level was 1.6 and O3 was 0.072 using an annotation.
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Improving Your Data Visualizations in Python
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# Make a vector where Long Beach is orangered; else lightgray
is_lb = ['____' if city == '____' else '____' for city in pollution['city']]