To create a DataFrame from DateTimeIndex, use the datetimeindex.to_frame(). We have set the name parameter to override the name of the resulting column.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', freq='40S')Display ... Read More

To create a DataFrame from DateTimeIndex ignoring the index, use the DateTimeIndex.to_frame() method. Set the parameter index to False to ignore the index.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', freq='40S')Display DateTimeIndex ... Read More

To convert the DateTimeIndex to Series excluding the TimeZone, use the datetimeindex.tz_convert(None).to_series(). The tz.convert(None) is used to exclude the timezone.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', freq='40S')Display DateTimeIndex −print("DateTimeIndex...", datetimeindex) Convert ... Read More

To convert the DateTimeIndex to Series, use the DateTimeIndex.to_series() method.At first, import the required libraries −import pandas as pdCreate a DatetimeIndex with period 5 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')Convert DateTimeIndex to Series −print("DateTimeIndex to series...", datetimeindex.to_series())ExampleFollowing is the ... Read More

To return DatetimeIndex as object ndarray of datetime.datetime objects, use the datetimeindex.to_pydatetime() method.At first, import the required libraries −import pandas as pdCreate a DatetimeIndex with period 5 and frequency as Y i.e. year −datetimeindex = pd.date_range('2021-10-18 07:20:32.261811624', periods=5, freq='2Y') Display DateTimeIndex −print("DateTimeIndex...", datetimeindex)Return DatetimeIndex as object ndarray −print("Return DatetimeIndex as ... Read More

To calculate TimedeltaArray of difference between index values and index converted to PeriodArray at specified freq, use the datetimeindex.to_perioddelta() method. Set the frequency using the freq parameter.At first, import the required libraries −import pandas as pdCreate a DatetimeIndex with period 7 and frequency as Y i.e. year −datetimeindex = pd.date_range('2021-10-18 ... Read More

To convert DateTimeIndex to Period, use the datetimeindex.to_period() method in Pandas. The frequency is set using the freq parameter.At first, import the required libraries −import pandas as pdCreate a DatetimeIndex with period 5 and frequency as Y i.e. year −datetimeindex = pd.date_range('2021-10-18 07:20:32.261811624', periods=5, freq='2Y') Display DateTimeIndex −print("DateTimeIndex...", datetimeindex)Convert DateTimeIndex to ... Read More

To perform ceil operation on the DateTimeIndex with specified frequency, use the DateTimeIndex.ceil() method. For frequency, use the freq parameter.At first, import the required libraries −import pandas as pdCreate a DatetimeIndex with period 5 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', ... Read More

To perform ceil operation on the DateTimeIndex with microseconds frequency, use the DateTimeIndex.ceil() 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('2021-10-18 07:20:32.261811624', periods=5, tz='Australia/Adelaide', ... Read More

To perform ceil operation on the DateTimeIndex with milliseconds frequency, use the DateTimeIndex.ceil() method. For milliseconds frequency, use the freq parameter with value ‘ms’.At first, import the required libraries −import pandas as pdCreate a DatetimeIndex with period 5 and frequency as S i.e. seconds. The timezone is Australia/Adelaide −datetimeindex = ... Read More