Reputation: 153
I would like to ask a question regarding converting datetime only to time. I have values 'Date Created" that include Dates and Times in one column and I would like to create two columns: one with only Date and one with Time. I wrote a code but in Time column I got a default date of 1900-01-01 along with time.
I wonder now how I could create a column only with Time in format: Hours:Minutes:Seconds
I will be grateful for any tips.
Date Created Date Time
2016-02-20 09:26:45 2016-02-20 1900-01-01 09:26:45
2016-02-19 19:30:25 2016-02-19 1900-01-01 19:30:25
2016-02-19 18:13:39 2016-02-19 1900-01-01 18:13:39
2016-03-01 14:15:36 2016-03-01 1900-01-01 14:15:36
2016-03-04 14:47:57 2016-03-04 1900-01-01 14:47:57
I wrote a code like the one below to extract dat
Data.loc[:,'Date Created'] = pd.to_datetime(Data.loc[:,'Date Created'], format="%Y-%m-%d %H:%M:%S")
Data.loc[:,'Date'] = pd.to_datetime(Data.loc[:,'Date'], format="%Y-%m-%d")
Data.loc[:,'Time'] = pd.to_datetime(Data.loc[:,'Time'], format="%H:%M:%S")
Upvotes: 1
Views: 11325
Reputation: 11
By using dt.strftime('%H:%M:%S')
the format is no longer datetime64[ns]
and became an "object", which make one unable to utilize datetime functions.
Upvotes: 1
Reputation: 25684
pandas
has no separate datatypes for date and time. if you only want your columns to show date or time resp., you could format to string (strftime). Ex:
import pandas as pd
Data = pd.DataFrame({'Date Created': ["2016-02-20 09:26:45", "2016-02-19 19:30:25", "2016-02-19 18:13:39"]})
Data['Date Created'] = pd.to_datetime(Data['Date Created'])
Data['Date'] = Data['Date Created'].dt.strftime("%Y-%m-%d")
Data['Time'] = Data['Date Created'].dt.strftime("%H:%M:%S")
Data
Date Created Date Time
0 2016-02-20 09:26:45 2016-02-20 09:26:45
1 2016-02-19 19:30:25 2016-02-19 19:30:25
2 2016-02-19 18:13:39 2016-02-19 18:13:39
Python documentation / strftime
Upvotes: 2
Reputation: 15872
After you convert Date Created
to pd.datetime
, you can use it to get the other two:
>>> Data.loc[:,'Date Created'] = pd.to_datetime(Data.loc[:,'Date Created'], format="%Y-%m-%d %H:%M:%S")
>>> Data['Date'] = Data['Date Created'].dt.date
>>> Data['Time'] = Data['Date Created'].dt.time
>>> Data
Date Created Date Time
0 2016-02-20 09:26:45 2016-02-20 09:26:45
1 2016-02-19 19:30:25 2016-02-19 19:30:25
2 2016-02-19 18:13:39 2016-02-19 18:13:39
3 2016-03-01 14:15:36 2016-03-01 14:15:36
4 2016-03-04 14:47:57 2016-03-04 14:47:57
Then you get:
>>> Data['Time'][0]
datetime.time(9, 26, 45)
>>> Data['Date'][0]
datetime.date(2016, 2, 20)
Upvotes: 2
Reputation: 1408
You could do something like that:
from datetime import datetime
now = datetime.now() # current date and time
hour = now.strftime("%H")# current hour
But customise as you wish, you check the documentation
Upvotes: 0
Reputation: 1875
How about that?
>>> df['TimeOnly']=df['Date Created'].dt.strftime('%H:%M:%S')
>>> df
Date Created TimeOnly
0 2016-02-20 09:26:45 09:26:45
1 2016-02-19 19:30:25 19:30:25
2 2016-02-19 18:13:39 18:13:39
3 2016-03-01 14:15:36 14:15:36
4 2016-03-04 14:47:57 14:47:57
Upvotes: 1