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AmitDiwan has Published 10744 Articles

AmitDiwan
129 Views
To perform ceil operation on the DateTimeIndex with seconds frequency, use the DateTimeIndex.ceil() method. For seconds frequency, use the freq parameter with value ‘S’.At first, import the required libraries −import pandas as pdCreate a DatetimeIndex with period 5 and frequency as S i.e. seconds −datetimeindex = pd.date_range('2021-10-18 07:20:32.261811624', periods=5, tz='Australia/Adelaide', ... Read More

AmitDiwan
149 Views
To perform ceil operation on the DateTimeIndex with minutely frequency, use the DateTimeIndex.ceil() method. For minutely frequency, use the freq parameter with value ‘T’.At first, import the required libraries −import pandas as pdCreate a DatetimeIndex with period 5 and frequency as s i.e. seconds −datetimeindex = pd.date_range('2021-10-18 07:20:32.261811624', periods=5, tz='Australia/Adelaide', ... Read More

AmitDiwan
151 Views
To perform ceil operation on the DateTimeIndex with hourly frequency, use the DateTimeIndex.ceil() method. For hourly frequency, use the freq parameter with value ‘H’.At first, import the required libraries −import pandas as pdCreate a DatetimeIndex with period 5 and frequency as min i.e. minutes −datetimeindex = pd.date_range('2021-09-29 07:20:32.261811624', periods=5, tz='Australia/Adelaide', ... Read More

AmitDiwan
126 Views
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 pdDatetimeIndex 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', ... Read More

AmitDiwan
344 Views
To perform floor operation on the DateTimeIndex with milliseconds frequency, use the DateTimeIndex.floor() method. For milliseconds frequency, use the freq parameter with value ‘ms’.At first, import the required libraries −import pandas as pdDatetimeIndex 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 ... Read More

AmitDiwan
178 Views
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 pdCreate 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', ... Read More

AmitDiwan
118 Views
To perform floor operation on the DateTimeIndex with minutely frequency, use the DateTimeIndex.floor() method. For minutely frequency, use the freq parameter with value ‘T’.At first, import the required libraries −import pandas as pdCreate 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', ... Read More

AmitDiwan
168 Views
To perform floor operation on the DateTimeIndex with hourly frequency, use the DateTimeIndex.floor() method. For hourly frequency, use the freq parameter with value ‘H’.At first, import the required libraries −import pandas as pdCreate a DatetimeIndex with period 5 and frequency as min i.e. minutes −datetimeindex = pd.date_range('2021-09-29 07:20:32.261811624', periods=5, tz='Australia/Adelaide', ... Read More

AmitDiwan
189 Views
To round the DateTimeIndex with microseconds frequency, use the DateTimeIndex.round() method. For microseconds frequency, use the freq parameter with value ‘us’.At first, import the required libraries −import pandas as pdCreate 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 ... Read More

AmitDiwan
134 Views
To round the DateTimeIndex with frequency as multiples of a single unit, use the DateTimeIndex.round() method. Set the freq parameter for frequency.At first, import the required libraries −import pandas as pdDatetimeIndex with period 5 and frequency as H i.e. hours −datetimeindex = pd.date_range('2021-09-29 07:20:32.261811624', periods=5, tz='Australia/Adelaide', freq='H')Display DateTimeIndex −print("DateTimeIndex...", datetimeindex) ... Read More