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Python Pandas - How to Round the DateTimeIndex with milliseconds frequency
To round the DateTimeIndex with milliseconds frequency, use the DateTimeIndex.round() method. For milliseconds frequency, use the freq parameter with value ‘ms’.
At first, import the required libraries −
import pandas as pd
Create a DatetimeIndex with period 5 and frequency as s i.e. seconds −
datetimeindex = pd.date_range('2021-09-29 07:20:32.261811624', periods=5,
tz='Australia/Adelaide', freq='28s')Round operation on DateTimeIndex date with milliseconds frequency. For milliseconds frequency, we have used 'ms' −
print("\nPerforming round operation with milliseconds frequency...\n",
datetimeindex.round(freq='ms'))Example
Following is the code −
import pandas as pd
# DatetimeIndex with period 5 and frequency as s i.e. seconds
# timezone is Australia/Adelaide
datetimeindex = pd.date_range('2021-09-29 07:20:32.261811624', periods=5,
tz='Australia/Adelaide', freq='28s')
# display DateTimeIndex
print("DateTimeIndex...\n", datetimeindex)
# display DateTimeIndex frequency
print("DateTimeIndex frequency...\n", datetimeindex.freq)
# Round operation on DateTimeIndex date with milliseconds frequency
# For milliseconds frequency, we have used 'ms'
print("\nPerforming round operation with milliseconds frequency...\n",
datetimeindex.round(freq='ms'))Output
This will produce the following code −
DateTimeIndex... DatetimeIndex(['2021-09-29 07:20:32.261811624+09:30', '2021-09-29 07:21:00.261811624+09:30', '2021-09-29 07:21:28.261811624+09:30', '2021-09-29 07:21:56.261811624+09:30', '2021-09-29 07:22:24.261811624+09:30'], dtype='datetime64[ns, Australia/Adelaide]', freq='28S') DateTimeIndex frequency... <28 * Seconds> Performing round operation with milliseconds frequency... DatetimeIndex(['2021-09-29 07:20:32.262000+09:30', '2021-09-29 07:21:00.262000+09:30', '2021-09-29 07:21:28.262000+09:30', '2021-09-29 07:21:56.262000+09:30', '2021-09-29 07:22:24.262000+09:30'], dtype='datetime64[ns, Australia/Adelaide]', freq=None)
Updated on: 19-Oct-2021
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