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")
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Answer
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