To get the weekday from Timestamp object, use the timestamp.weekday() method. At first, import the required libraries −import pandas as pd import datetimeSet the timestamp in Pandas. Create a Timestamp objecttimestamp = pd.Timestamp(datetime.datetime(2021, 5, 12)) Get the weekday of the year. Weekday is represented by number Monday == 0, Tuesday ... Read More

To get the UTC Offset Time, use the timestamp.utcoffset(). At first, import the required libraries −import pandas as pdCreating a timestamptimestamp = pd.Timestamp('2021-10-16T15:12:34.261811624', tz='UTC') New timestamp with UTC day and timetimestamp.utcnow()Get the UTC offset timetimestamp.utcoffset() ExampleFollowing is the code import pandas as pd # creating a timestamp timestamp = ... Read More

To return a new Timestamp representing UTC day and time, use the timestamp.utcnow() method. At first, import the required libraries −import pandas as pdCreating a timestamptimestamp = pd.Timestamp('2021-10-16T15:12:34.261811624', tz='UTC') New timestamp with UTC day and timetimestamp.utcnow()ExampleFollowing is the code import pandas as pd # creating a timestamp timestamp = ... Read More

To construct a naive UTC datetime from a POSIX timestamp, use the timestamp.utcfromtimestamp() method. Pass the POSIX as an argument.At first, import the required libraries −import pandas as pdCreate a timestamptimestamp = pd.Timestamp('2021-09-14T15:12:34.261811624') Constructing a naive UTC datetime from a POSIX timestamp. POSIX is passed as an argumenttimestamp.utcfromtimestamp(1631717502)ExampleFollowing is the ... Read More

To convert naive Timestamp to local time zone, use the timestamp.tz_locale(). Within that, set the timezone using the tz parameter.At first, import the required libraries −import pandas as pdCreating a naive timestamptimestamp = pd.Timestamp('2021-09-14T15:12:34.261811624') Add the timezonetimestamp.tz_localize(tz='Australia/Brisbane')ExampleFollowing is the code import pandas as pd # creating a naive timestamp ... Read More

Convert Timestamp to another time zone, use the timestamp.tz_convert(). Set the time zone as the parameter. At first, import the required libraries −import pandas as pdCreate the timestamp object in Pandas. We have also set the timezonetimestamp = pd.Timestamp('2021-10-14T15:12:34.261811624', tz='US/Eastern') Convert timezone of timestamptimestamp.tz_convert('Australia/Brisbane'))ExampleFollowing is the code import pandas as ... Read More

To return proleptic Gregorian ordinal, use the timestamp.toordinal() method. At first, import the required libraries −import pandas as pdCreate the timestamp object in Pandastimestamp = pd.Timestamp(2021, 9, 18, 11, 50, 20, 33) Return proleptic Gregorian ordinal. Example: January 1 of year 1 is day 1timestamp.toordinal()ExampleFollowing is the code import pandas ... Read More

Get the current date and time from Timestamp object, use the timestamp.today() method.At first, import the required libraries −import pandas as pd import datetimeCreate the timestamp in Pandastimestamp = pd.Timestamp(datetime.datetime(2021, 10, 10)) Display the Timestampprint("Timestamp: ", timestamp)Getting the current date and timeres = timestamp.today() ExampleFollowing is the code import pandas ... Read More

To convert a Timestamp object to a native Python datetime object, use the timestamp.to_pydatetime() method.At first, import the required libraries −import pandas as pdCreate the timestamp object in Pandastimestamp = pd.Timestamp('2021-09-11T13:12:34.261811') Convert timestamp to native Python datetime objecttimestamp.to_pydatetime()ExampleFollowing is the code import pandas as pd # set the timestamp ... Read More

To convert given Timestamp to Period, use the timestamp.to_period() method. Within that, set the frequency using the freq parameter. For hourly frequency, set freq as H.At first, import the required libraries −import pandas as pdCreate the timestamp object in Pandastimestamp = pd.Timestamp(2021, 9, 18, 11, 50, 20, 33) Convert timestamp ... Read More