Python Pandas - Create A Datetime With DateTimeIndex

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Python Pandas - Create a datetime with DateTimeIndex PythonServer Side ProgrammingProgramming

To create a datetime, we will use the date_range(). The periods and the time zone will also be set with the frequency. At first, import the required libraries −

import pandas as pd

DatetimeIndex with period 8 and frequency as M i.e. months. The timezone is Australia/Sydney −

datetime = pd.date_range('2021-09-24 02:35:55', periods=8, tz='Australia/Sydney', freq='M')

Display the datetime −

print("DateTime...\n", datetime)

Example

Following is the code −

import pandas as pd # DatetimeIndex with period 8 and frequency as M i.e. months # timezone is Australia/Sydney datetime = pd.date_range('2021-09-24 02:35:55', periods=8, tz='Australia/Sydney', freq='M') # display print("DateTime...\n", datetime) # get the day name print("\nGetting the day name..\n",datetime.day_name()) # get the month name print("\nGetting the month name..\n",datetime.month_name()) # get the year print("\nGetting the year name..\n",datetime.year) # get the hour print("\nGetting the hour..\n",datetime.hour) # get the minutes print("\nGetting the minutes..\n",datetime.minute) # get the seconds print("\nGetting the seconds..\n",datetime.second)

Output

This will produce the following output −

DateTime... DatetimeIndex(['2021-09-30 02:35:55+10:00', '2021-10-31 02:35:55+11:00',                '2021-11-30 02:35:55+11:00', '2021-12-31 02:35:55+11:00',                '2022-01-31 02:35:55+11:00', '2022-02-28 02:35:55+11:00',                '2022-03-31 02:35:55+11:00', '2022-04-30 02:35:55+10:00'],                dtype='datetime64[ns, Australia/Sydney]', freq='M') Getting the day name.. Index(['Thursday', 'Sunday', 'Tuesday', 'Friday', 'Monday', 'Monday','Thursday', 'Saturday'], dtype='object') Getting the month name.. Index(['September', 'October', 'November', 'December', 'January', 'February','March', 'April'], dtype='object') Getting the year name..    Int64Index([2021, 2021, 2021, 2021, 2022, 2022, 2022, 2022], dtype='int64') Getting the hour..    Int64Index([2, 2, 2, 2, 2, 2, 2, 2], dtype='int64') Getting the minutes..    Int64Index([35, 35, 35, 35, 35, 35, 35, 35], dtype='int64') Getting the seconds..    Int64Index([55, 55, 55, 55, 55, 55, 55, 55], dtype='int64') AmitDiwan AmitDiwan Updated on: 2021-10-19T08:38:54+05:30

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Tag » Add Datetimeindex To Pandas Dataframe