To extract the day of week from the DateTimeIndex with specific time series frequency, use the DateTimeIndex.dayofweek propertyAt first, import the required libraries −import pandas as pdCreate a DatetimeIndex with period 6 and frequency as D i.e. day −datetimeindex = pd.date_range('2021-10-20 02:30:50', periods=6, tz='Australia/Sydney', freq='3D') Display DateTimeIndex frequency −print("DateTimeIndex frequency...", ... Read More

To extract the ordinal day of year from the DateTimeIndex with specific time series frequency, use the DateTimeIndex.dayofyear propertyAt first, import the required libraries −import pandas as pdCreate a DatetimeIndex with period 6 and frequency as D i.e. day −datetimeindex = pd.date_range('2021-10-20 02:30:50', periods=6, tz='Australia/Sydney', freq='D') Display DateTimeIndex −print("DateTimeIndex...", datetimeindex)Get ... Read More

To return numpy array of python datetime.time objects with timezone information, use the datetimeindex.timetz property.At first, import the required libraries −import pandas as pdCreate a DatetimeIndex with period 5 and frequency as us i.e. nanoseconds −datetimeindex = pd.date_range('2021-10-20 02:30:50', periods=5, tz='Australia/Sydney', freq='ns') Display DateTimeIndex −print("DateTimeIndex...", datetimeindex)Returns only the time part ... Read More

To return numpy array of python datetime.time objects, use the datetimeindex.time property in Pandas.At first, import the required libraries −import pandas as pdCreate a DatetimeIndex with period 3 and frequency as us i.e. nanoseconds. The timezone is Australia/Sydney −datetimeindex = pd.date_range('2021-10-20 02:30:50', periods=3, tz='Australia/Sydney', freq='ns') Display DateTimeIndex −print("DateTimeIndex...", datetimeindex)Returns only ... Read More

To extract the nanoseconds from the DateTimeIndex with specific time series frequency, use the DateTimeIndex.nanosecond property.At first, import the required libraries −import pandas as pdCreate a DatetimeIndex with period 6 and frequency as ns i.e. nanoseconds −datetimeindex = pd.date_range('2021-10-20 02:30:50', periods=6, tz='Australia/Sydney', freq='ns') Display DateTimeIndex −print("DateTimeIndex...", datetimeindex)Get the nanoseconds −print("Getting ... Read More

To return numpy array of python datetime.date objects, use the datetimeindex.date property in Pandas.At first, import the required libraries −import pandas as pdCreate a DatetimeIndex with period 3 and frequency as us i.e. nanoseconds −datetimeindex = pd.date_range('2021-10-20 02:30:50', periods=3, tz='Australia/Sydney', freq='ns') Display DateTimeIndex −print("DateTimeIndex...", datetimeindex)Returns only the date part of ... Read More

To extract the microsecond from the DateTimeIndex with specific time series frequency, use the DateTimeIndex.microsecond property.At first, import the required libraries −import pandas as pdCreate a DatetimeIndex with period 6 and frequency as us i.e. microseconds. The timezone is Australia/Sydney −datetimeindex = pd.date_range('2021-10-20 02:30:50', periods=6, tz='Australia/Sydney', freq='us') Display DateTimeIndex −print("DateTimeIndex...", ... Read More

To extract the seconds from the DateTimeIndex with specific time series frequency, use the DateTimeIndex.second property.At first, import the required libraries −import pandas as pdCreate a DatetimeIndex with period 6 and frequency as S i.e. seconds. The timezone is Australia/Sydney −datetimeindex = pd.date_range('2021-10-20 02:30:50', periods=6, tz='Australia/Sydney', freq='S') Display DateTimeIndex −print("DateTimeIndex...", ... Read More

To extract the minute from the DateTimeIndex with specific time series frequency, use the DateTimeIndex.minute property.At first, import the required libraries −import pandas as pdCreate a DatetimeIndex with period 6 and frequency as T i.e. minute. The timezone is Australia/Sydney −datetimeindex = pd.date_range('2021-10-20 02:30:55', periods=6, tz='Australia/Sydney', freq='T') Display DateTimeIndex −print("DateTimeIndex...", ... Read More

To extract hour from the DateTimeIndex with specific time series frequency, use the DateTimeIndex.hour property.At first, import the required libraries −import pandas as pdDatetimeIndex with period 6 and frequency as H i.e. hour. The timezone is Australia/Sydney −datetimeindex = pd.date_range('2021-10-20 02:35:55', periods=6, tz='Australia/Sydney', freq='H') Display DateTimeIndex −print("DateTimeIndex...", datetimeindex)Get the hour ... Read More