Question
Asked By – user7289
I have a Pandas data frame, one of the column contains date strings in the format YYYY-MM-DD
For e.g. '2013-10-28'
At the moment the dtype
of the column is object
.
How do I convert the column values to Pandas date format?
Now we will see solution for issue: How do I convert strings in a Pandas data frame to a ‘date’ data type?
Answer
Use astype
In [31]: df
Out[31]:
a time
0 1 2013-01-01
1 2 2013-01-02
2 3 2013-01-03
In [32]: df['time'] = df['time'].astype('datetime64[ns]')
In [33]: df
Out[33]:
a time
0 1 2013-01-01 00:00:00
1 2 2013-01-02 00:00:00
2 3 2013-01-03 00:00:00
This question is answered By – waitingkuo
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