Let's say that you have dates and times in your DataFrame and you want to analyze your data by minute, month, or year. What should you do? In this video, I'll demonstrate how you can convert your data to "datetime" format, enabling you to access a ton of convenient attributes and perform datetime comparisons and mathematical operations.
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== RESOURCES ==
GitHub repository for the series: https://github.com/justmarkham/pandas-videos
"to_datetime" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.to_datetime.html
Datetime properties and methods: http://pandas.pydata.org/pandas-docs/stable/api.html#datetimelike-properties
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