Python Pandas - Extract the seconds from the DateTimeIndex with specific time series frequency

To extract the seconds from the DateTimeIndex with specific time series frequency, use the DateTimeIndex.second property.

At first, import the required libraries −

import pandas as pd

Create a DatetimeIndex with period 6 and frequency as S i.e. seconds. The timezone is Australia/Sydney −

datetimeindex = pd.date_range('2021-10-20 02:30:50', periods=6, tz='Australia/Sydney', freq='S')

Display DateTimeIndex −

print("DateTimeIndex...\n", datetimeindex)

Get the seconds −

print("\nGetting the seconds..\n",datetimeindex.second)

Example

Following is the code −

import pandas as pd

# DatetimeIndex with period 6 and frequency as S i.e. seconds
# The timezone is Australia/Sydney
datetimeindex = pd.date_range('2021-10-20 02:30:50', periods=6, tz='Australia/Sydney', freq='S')

# display DateTimeIndex
print("DateTimeIndex...\n", datetimeindex)

# display DateTimeIndex frequency
print("DateTimeIndex frequency...\n", datetimeindex.freq)

# get the seconds
print("\nGetting the seconds..\n",datetimeindex.second)

Output

This will produce the following code −

DateTimeIndex...
DatetimeIndex(['2021-10-20 02:30:50+11:00', '2021-10-20 02:30:51+11:00',
'2021-10-20 02:30:52+11:00', '2021-10-20 02:30:53+11:00',
'2021-10-20 02:30:54+11:00', '2021-10-20 02:30:55+11:00'],
dtype='datetime64[ns, Australia/Sydney]', freq='S')
DateTimeIndex frequency...
<Second>

Getting the seconds..
Int64Index([50, 51, 52, 53, 54, 55], dtype='int64')