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Python Pandas - How to Round the DateTimeIndex with seconds frequency
To round the DateTimeIndex with seconds frequency, use the DateTimeIndex.round() 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 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 seconds frequency. For seconds frequency, we have used 'S' −
print("\nPerforming round operation with seconds frequency...\n",
datetimeindex.round(freq='S'))
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)
# getting the second
res = datetimeindex.second
# display only the second
print("\nThe second from DateTimeIndex...\n", res)
# Round operation on DateTimeIndex date with seconds frequency
# For seconds frequency, we have used 'S'
print("\nPerforming round operation with seconds frequency...\n",
datetimeindex.round(freq='S'))
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> The second from DateTimeIndex... Int64Index([32, 0, 28, 56, 24], dtype='int64') Performing round operation with seconds frequency... DatetimeIndex(['2021-09-29 07:20:32+09:30', '2021-09-29 07:21:00+09:30', '2021-09-29 07:21:28+09:30', '2021-09-29 07:21:56+09:30', '2021-09-29 07:22:24+09:30'], dtype='datetime64[ns, Australia/Adelaide]', freq=None)
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