pandas: extract date and time from timestamp

Question

I have a timestamp column where the timestamp is in the following format

2016-06-16T21:35:17.098+01:00

I want to extract date

Answer 1

Do this first:

df['time'] = pd.to_datetime(df['timestamp'])

Before you do your extraction as usual:

df['dates'] = df['time'].dt.date

Answer 2

If date is in string form then:

import datetime

# this line converts the string object in Timestamp object
df['DateTime'] = [datetime.datetime.strptime(d, "%Y-%m-%d %H:%M") for d in df["DateTime"]]

# extracting date from timestamp
df['Date'] = [datetime.datetime.date(d) for d in df['DateTime']] 

# extracting time from timestamp
df['Time'] = [datetime.datetime.time(d) for d in df['DateTime']] 

If the object is already in the Timestamp format then skip the first line of code.

%Y-%m-%d %H:%M this means your timestamp object must be in the form like 2016-05-16 12:35:00.