Working with Time Zones & Daylight Saving Time in pandas
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Are you working with datetime data in pandas? Learn how to become "timezone-aware" so that your dataset cooperates with Daylight Saving Time!
In most of the USA (plus a few other places in North America), Daylight Saving Time began on Sunday, March 12 at 2:00am.
So what is Daylight Saving Time, why should you care about it, and how is it handled by pandas? Let’s find out!
Example data
To start, we need to create some example data. We’ll use the date_range function to create 6 times starting on March 12 at 4:00am with an hourly frequency (abbreviated as "H"), and then convert it to a pandas Series:
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