Just a thought I had. Right now, I can pass a list of python ints or floats into np.array() and get a numpy array with a sensible dtype. Is there any reason why we can't do the same for python's datetime? Right now, it is very easy for me to make a list comprehension of datetime objects using strptime(), but it is very awkward to make a numpy array out of it.
The only barrier I can think of are those who have already built code around a object dtype array of datetime objects. Thoughts? Ben Root P.S. - what ever happened to arange() and linspace() for datetime64?
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