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')