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


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

At first, import the required libraries −

import pandas as pd

DatetimeIndex with period 7 and frequency as S i.e. seconds. The timezone is Australia/Adelaide −

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

Floor operation on DateTimeIndex date with microseconds frequency. For microseconds frequency, we have used 'us' −

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

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)

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

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...
<40 * Seconds>

Performing floor operation with microseconds frequency...
DatetimeIndex(['2021-10-18 07:20:32.261811+10:30',
'2021-10-18 07:21:12.261811+10:30',
'2021-10-18 07:21:52.261811+10:30',
'2021-10-18 07:22:32.261811+10:30',
'2021-10-18 07:23:12.261811+10:30'],
dtype='datetime64[ns, Australia/Adelaide]', freq=None)

Updated on: 19-Oct-2021

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