Python Pandas - How to perform floor operation on the DateTimeIndex with seconds frequency

To perform floor operation on the DateTimeIndex with seconds frequency, use the DateTimeIndex.floor() method. For seconds frequency, use the freq parameter with value ‘S’

At first, import the required libraries −

import pandas as pd

Create a DatetimeIndex with period 7 and frequency as S i.e. seconds −

datetimeindex = pd.date_range('2021-10-18 07:20:32.261811624', periods=5,
tz='Australia/Adelaide', freq='40S')

Display DateTimeIndex −

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

Floor operation on DateTimeIndex date with seconds frequency. For seconds frequency, we have used 'S' −

print("\nPerforming floor operation with seconds frequency...\n",
datetimeindex.floor(freq='S'))

Example

Following is the code −

import pandas as pd

# DatetimeIndex with period 7 and frequency as S i.e. seconds
# timezone is Australia/Adelaide
datetimeindex = pd.date_range('2021-10-18 07:20:32.261811624', periods=5,
tz='Australia/Adelaide', freq='40S')

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

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

# getting the second
res = datetimeindex.second

# display only the second
print("\nThe seconds from DateTimeIndex...\n", res)

# Floor operation on DateTimeIndex date with seconds frequency
# For seconds frequency, we have used 'S'
print("\nPerforming floor operation with seconds frequency...\n",
datetimeindex.floor(freq='S'))

Output

This will produce the following code −

DateTimeIndex...
DatetimeIndex(['2021-10-18 07:20:32.261811624+10:30',
'2021-10-18 07:21:12.261811624+10:30',
'2021-10-18 07:21:52.261811624+10:30',
'2021-10-18 07:22:32.261811624+10:30',
'2021-10-18 07:23:12.261811624+10:30'],
dtype='datetime64[ns, Australia/Adelaide]', freq='40S')
DateTimeIndex frequency...


The seconds from DateTimeIndex...
Int64Index([32, 12, 52, 32, 12], dtype='int64')

Performing floor operation with seconds frequency...
DatetimeIndex(['2021-10-18 07:20:32+10:30', '2021-10-18 07:21:12+10:30',
'2021-10-18 07:21:52+10:30', '2021-10-18 07:22:32+10:30',
'2021-10-18 07:23:12+10:30'],
dtype='datetime64[ns, Australia/Adelaide]', freq=None)