In a numpy array is dtype np.datetime64 or pandas object datetime.date faster?

In a numpy array is dtype np.datetime64 or pandas object datetime.date faster?

I want to filter through a date array the fastest possible? Should I use pandas or numpy? If I use numpy what data type should I use?

I want to filter through a date array the fastest possible? Should I use pandas or numpy? If I use numpy what data type should I use?

I have a large dataframe where I need to loop through a range and pull the data from a date range. It's taking longer than I need since I'm also testing the data and re-running it is getting quite tedious.

*NOTE: After looking for questions that answer this, I wasn't able to find a suitable answer so I posted this in case anyone else is in a similar situation. The answer is below.

python numpy

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