Get MM-DD-YYYY from pandas Timestamp

Question

dates seem to be a tricky thing in python, and I am having a lot of trouble simply stripping the date out of the pandas TimeStamp. I would like to get from 2013-09-29

Answer 1

You can try using .dt.date on datetime64[ns] of the dataframe.

For e.g. df['Created_date'] = df['Created_date'].dt.date

Input dataframe named as test_df:

print(test_df)

Result:

         Created_date
0     2015-03-04 15:39:16
1     2015-03-22 17:36:49
2     2015-03-25 22:08:45
3     2015-03-16 13:45:20
4     2015-03-19 18:53:50

Checking dtypes:

print(test_df.dtypes)

Result:

Created_date    datetime64[ns]
dtype: object

Extracting date and updating Created_date column:

test_df['Created_date'] = test_df['Created_date'].dt.date
print(test_df)

Result:

  Created_date
0   2015-03-04
1   2015-03-22
2   2015-03-25
3   2015-03-16
4   2015-03-19