Reputation: 560
I have a column of (created AT) in my DataFrame which has a timestamps like shown below:
Created AT
1) 2021-04-19T09:14:10.526Z
2) 2021-04-19T09:13:06.809Z
3) 2021-04-19T09:13:06.821Z
I want to extract the time only from above column etc . It should show like: 9:14:8 etc How to extract this ?
Upvotes: 0
Views: 2808
Reputation: 97
I have a solution to your question. It can have multiple solutions but here I am giving some solution here using time, DateTime
you can get the string using
import time
import datetime
s = '2021-04-19T09:14:10.526Z'
t = s.split('T')[1].split('.')[0]
print(t)
and for getting time stamp of it do one more line
print(datetime.datetime.strptime(t,"%H:%M:%S"))
Upvotes: 1
Reputation: 23227
First convert the column to datetime format if not already in that format:
df['Created AT'] = pd.to_datetime(df['Created AT'])
Then, add the new column time
with formatting by .dt.strftime()
as follows (if you don't want the nano-second part):
df['time'] = df['Created AT'].dt.strftime('%H:%M:%S')
print(df)
Created AT time
0 2021-04-19 09:14:10.526000+00:00 09:14:10
1 2021-04-19 09:13:06.809000+00:00 09:13:06
2 2021-04-19 09:13:06.821000+00:00 09:13:06
Upvotes: 0
Reputation: 71
Convert to datetime and use strftime to format exactly as you like it.
data = ['2021-04-19T09:14:10.526Z',
'2021-04-19T09:13:06.809Z',
'2021-04-19T09:13:06.821Z']
df = pd.DataFrame(data=data, columns=['Created AT'])
df['Created AT'] = pd.to_datetime(df['Created AT']).dt.strftime('%H:%M:%S')
print(df)
Created AT
0 09:14:10
1 09:13:06
2 09:13:06
Upvotes: 0
Reputation: 1377
If your date column is a string, you need to convert it to datetime and then take a substring of the time:
df = pd.DataFrame(data = {"Created At":["2021-04-19T09:14:10.526Z","2021-04-19T09:14:10.526Z"]})
df['Created At'] = pd.to_datetime(df['Created At'])
df['Created At'] = df['Created At'].dt.time.astype(str).str[:8]
Upvotes: 1
Reputation: 76
df['time'] = pd.to_datetime(df['Created AT'])
print(df['time'].dt.time)
On the first line, convert the datetime to objects and write in a new column.
On the second, we get the time from datetime objects
Upvotes: 1