Convert datetime list into date python

Question

I have a datetime list and would like to convert it into a date using the following code:

dates = (datetime.strptime(ts, '%Y-%m-%d %H:%M:%S') for ts in timestamps)
date_strings = [datetime.strftime(d, '%m-%d-%Y') for d in dates]

The datetime list looks like the following:

[datetime.datetime(2016, 11, 21, 0, 0), datetime.datetime(2016, 11, 22, 0, 0), datetime.datetime(2016, 11, 23, 0, 0)]

I receive the following error message:

TypeError: strptime() argument 1 must be str, not datetime.datetime

Answer 1

It appears the values in your timestamps sequence are not strings; they are already datetime objects. You don't need to parse these any further. It is also possible you have a mix of strings and datetime objects; the exception you see is thrown because at least one of the values in timestamps is a datetime instance already.

Just call the datetime.strftime() method on all objects in ts to format them:

date_strings = [d.strftime('%m-%d-%Y') for d in timestamps]

Demo:

>>> import datetime
>>> timestamps = [datetime.datetime(2016, 11, 21, 0, 0), datetime.datetime(2016, 11, 22, 0, 0), datetime.datetime(2016, 11, 23, 0, 0)]
>>> [d.strftime('%m-%d-%Y') for d in timestamps]
['11-21-2016', '11-22-2016', '11-23-2016']

In the event that you have a mix of strings and datetime instances in timestamps, you'll have to do some extra processing:

def convert_as_needed(ts):
    try:
        # parse strings
        datetime.strptime(ts, '%Y-%m-%d %H:%M:%S')
    except TypeError:
        # assume it is already a datetime object
        return ts

dates = map(convert_as_needed, timestamps)
date_strings = [d.strftime('%m-%d-%Y') for d in dates]