Python Forum

Hi there,

Can someone help me to extract datetime from the following "data" field

import pandas as pd
import datetime as dt

df1 = pd.DataFrame(data={"fruit":['apple','pear','banana','peach'],
                          'id':[2,1,3,4],
                          'Data':['20210522113347','20210522113359','20210522113412','20210522113431']})

df1['Data1'] = pd.to_datetime((df1['Data'])).dt.strftime('%Y%M%D%H%M%S')

Output:
    fruit  id            Data                 Data1
0   apple   2  20210522113347  20213305/22/21113347
1    pear   1  20210522113359  20213305/22/21113359
2  banana   3  20210522113412  20213405/22/21113412
3   peach   4  20210522113431  20213405/22/21113431

Appreciate it if someone can help.

What are you trying to do? This will give you a column of datetime objects.

df1['Data1'] = pd.to_datetime((df1['Data']))

Now that you have a datetime object you can convert it back to a string. I like to format dates like Nov 5, 2021.

import pandas as pd
import datetime as dt

df = pd.DataFrame(data={"fruit":['apple','pear','banana','peach'],
                          'id':[2,1,3,4],
                          'Date':['20201221113347','20211103113359','20211103113412','20211105113431']})

df['Data1'] = pd.to_datetime((df['Date'])).dt.strftime('%b %d, %Y')
print(df)

Output:
    fruit  id            Date         Data1
0   apple   2  20201221113347  Dec 21, 2020
1    pear   1  20211103113359  Nov 03, 2021
2  banana   3  20211103113412  Nov 03, 2021
3   peach   4  20211105113431  Nov 05, 2021

Note: I changed some of your dates . Better toss the apples!

A description of format characters for datetime.strftime:

https://docs.python.org/3/library/dateti...e-behavior

If you want to extract info like the day, month, year etc from the datetime:

https://docs.python.org/3/library/dateti...me-objects

Thanks!! @deanhystad

As info so dos Pandas has Time/date functionality build in.
So no need for this import import datetime as dt

import pandas as pd

df1 = pd.DataFrame(
    data={
        "fruit": ["apple", "pear", "banana", "peach"],
        "id": [2, 1, 3, 4],
        "Data": [
            "20210522113347",
            "20210522113359",
            "20210522113412",
            "20210522113431",
        ],
    }
)

df1['Data'] = pd.to_datetime(df1['Data'])

>>> df1
    fruit  id                Data
0   apple   2 2021-05-22 11:33:47
1    pear   1 2021-05-22 11:33:59
2  banana   3 2021-05-22 11:34:12
3   peach   4 2021-05-22 11:34:31
>>> df1.Data.dt.strftime('%m/%d/%Y')
0    05/22/2021
1    05/22/2021
2    05/22/2021
3    05/22/2021
Name: Data, dtype: object

>>> #Save DataFrame with a new date format
>>> df1['Data'] = df1.Data.dt.strftime('%b %d, %Y')
>>> df1
    fruit  id          Data
0   apple   2  May 22, 2021
1    pear   1  May 22, 2021
2  banana   3  May 22, 2021
3   peach   4  May 22, 2021