Adding Asia/Singapore Time stamp as the first column in Pandas dataframe

Question

I am trying to add an Asia/Singapore timestamp as the first column of the following pandas dataframe,and name it as 'sdc_sequence_id'.

id   col1    col2
01    A       B
02    C       D
03    E       F

expected dataframe :

sdc_sqeuence_id       id     col1    col2
2002-10-27 12:00:00   01      A      B
2002-10-27 12:00:02   02      C      D
2002-10-27 12:00:02   03      E      F

I tried doing this

df2['sdc_squence_id'] = df2['sdc_squence_id'].dt.tz_localize('Asia/Singapore'

But this is giving me a key error.. Help would be appreciated.

Answer 1

Try:

df["sdc_squence_id"] = datetime.strftime(datetime.now(pytz.timezone('Asia/Singapore')), "%Y-%m-%d %H:%M:%S")

Explanations:

1. Get the local time in a specific timezone:
   • Use the pytz to get timezone:

tz = pytz.timezone('Asia/Singapore')

• This discussion explains in details how to get local time

asia_time = datetime.now(tz)

2. Format local time as you want:
   • The datetime.date.strftime does the job
   • This tutorial explains how to handle datetime format in details

formated_datetime = datetime.strftime(asia_time, "%Y-%m-%d %H:%M:%S")

3. Add the new column to the panda dataframe:
   • This discussion explains how to achieve it.

df["sdc_squence_id"] = formated_datetime

Code

# Import modules
import pandas as pd
# Get local timezone time
import pytz
# Create datetime object
from datetime import datetime


tz = pytz.timezone('Asia/Singapore')
print(tz)
# Asia/Singapore

asia_time = datetime.now(tz)
print(asia_time)
# 2020-03-24 17:22:37.409483+08:00

# Format datetime
formated_datetime = datetime.strftime(asia_time, "%Y-%m-%d %H:%M:%S")
# 2020-03-24 17:22:37

# Create new column
df["sdc_squence_id"] = formated_datetime
print(df)
#    id col1 col2       sdc_squence_id
# 0   1    A    B  2020-03-24 17:22:37
# 1   2    C    D  2020-03-24 17:22:37
# 2   3    E    F  2020-03-24 17:22:37