In Pandas how do I convert a string of date strings to datetime objects and put them in a DataFrame?

datetime, pandas, python

Solution

>>> import pandas as pd
>>> date_stngs = ('2008-12-20','2008-12-21','2008-12-22','2008-12-23')
>>> a = pd.Series([pd.to_datetime(date) for date in date_stngs])
>>> a
0    2008-12-20 00:00:00
1    2008-12-21 00:00:00
2    2008-12-22 00:00:00
3    2008-12-23 00:00:00

UPDATE

Use pandas.to_datetime(pd.Series(..)). It's concise and much faster than above code.

>>> pd.to_datetime(pd.Series(date_stngs))
0   2008-12-20 00:00:00
1   2008-12-21 00:00:00
2   2008-12-22 00:00:00
3   2008-12-23 00:00:00

Problem

``` import pandas as pd date_stngs = ('2008-12-20','2008-12-21','2008-12-22','2008-12-23') a = pd.Series(range(4),index = (range(4))) for idx, date in enumerate(date_stngs): a[idx]= pd.to_datetime(date) ``` This code bit produces error: TypeError:" 'int' object is not iterable" Can anyone tell me how to get this series of date time strings into a DataFrame as `DateTime` objects?

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