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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 code import pandas as pd # creating a timestamp timestamp = pd.Timestamp('2021-09-14T15:12:34.261811624') # display the Timestamp print("Timestamp...", timestamp) # constructing a naive UTC datetime from a POSIX timestamp # POSIX is passed as an argument print("Construct UTC Datetime...", timestamp.utcfromtimestamp(1631717502))OutputThis will produce the following code Timestamp... 2021-09-14 15:12:34.261811624 ... Read More
To check if the Pandas Index only consists of booleans, use the index.is_boolean() method in Pandas. At first, import the required libraries -import pandas as pdCreating Pandas indexindex = pd.Index([True, True, False, False, True, True, True]) Display the Pandas index −print("Pandas Index...", index)Check whether index values have only booleans −print("Index values only consists of booleans?", index.is_boolean()) ExampleFollowing is the code −import pandas as pd # Creating Pandas index index = pd.Index([True, True, False, False, True, True, True]) # Display the Pandas index print("Pandas Index...", index) # Return the number of elements in the Index print("Number of elements ... 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 timestamp = pd.Timestamp('2021-09-14T15:12:34.261811624') # display the Timestamp print("Timestamp...", timestamp) # add a timezone print("Timestamp to local time zone...", timestamp.tz_localize(tz='Australia/Brisbane'))OutputThis will produce the following code Timestamp... 2021-09-14 15:12:34.261811624 Timestamp to local time zone... 2021-09-14 15:12:34.261811624+10:00Read 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 pd # set the timestamp object in Pandas # we have also set the timezone timestamp = pd.Timestamp('2021-10-14T15:12:34.261811624', tz='US/Eastern') # display the Timestamp print("Timestamp...", timestamp) # convert timezone print("Convert the Timestamp timezone...", timestamp.tz_convert('Australia/Brisbane'))OutputThis will produce the following code Timestamp... 2021-10-14 15:12:34.261811624-04:00 Convert the Timestamp timezone... ... Read More
To insert a new index value at the first index from the last, use the index.insert() method. Set the last index value -1 and the value to be inserted as parameters.At first, import the required libraries -import pandas as pdCreating the Pandas index −index = pd.Index(['Car', 'Bike', 'Airplane', 'Ship', 'Truck']) Display the index −print("Pandas Index...", index)Insert a new value at the first index from the last using the insert() method. The first parameter in the insert() is the location where the new index value is placed. The -1 here means the new index value gets inserted at the first index ... 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 as pd # set the timestamp object in Pandas timestamp = pd.Timestamp(2021, 9, 18, 11, 50, 20, 33) # display the Timestamp print("Timestamp...", timestamp) # Return proleptic Gregorian ordinal. # Example: January 1 of year 1 is day 1. print("Gregorian ordinal...", timestamp.toordinal())OutputThis will produce the following code Timestamp... 2021-09-18 11:50:20.000033 Gregorian ordinal... 738051
To insert a new index value at a specific position, use the index.insert() method in Pandas. At first, import the required libraries -import pandas as pdCreating the Pandas index −index = pd.Index(['Car', 'Bike', 'Airplane', 'Ship', 'Truck']) Display the index −print("Pandas Index...", index)Insert a new value at a specific position using the insert() method. The first parameter in the insert() is the location where the new index value is placed. The 2 here means the new index value gets inserted at index 2 i.e. position 3. The second parameter is the new index value to be inserted.print("After inserting a new index ... 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 as pd import datetime # set the timestamp in Pandas timestamp = pd.Timestamp(datetime.datetime(2021, 10, 10)) # display the Timestamp print("Timestamp: ", timestamp) # display the day from given timestamp print("Day Name:", timestamp.day_name()) # getting the current date and time res = timestamp.today() # display the ... 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 object in Pandas timestamp = pd.Timestamp('2021-09-11T13:12:34.261811') # display the Timestamp print("Timestamp...", timestamp) # convert timestamp to native Python datetime object print("Convert Timestamp...", timestamp.to_pydatetime())OutputThis will produce the following code Timestamp... 2021-09-11 13:12:34.261811 Convert Timestamp... 2021-09-11 13:12:34.261811Read More
To check whether the two Index objects have similar object attributes and types, use the index1.identical(index2) method.At first, import the required libraries -import pandas as pdCreating Pandas index1 and index2 −index1 = pd.Index([15, 25, 35, 45, 55]) index2 = pd.Index([15, 25, 35, 45, 55])Display the index1 and index2 −print("Pandas Index1...", index1) print("Pandas Index2...", index2)Check whether the two index objects have similar attributes and types or not −print("The two Index objects have similar attributes and types?" "", index1.identical(index2))ExampleFollowing is the code −import pandas as pd # Creating Pandas index1 and index2 index1 = pd.Index([15, 25, 35, 45, 55]) index2 = ... Read More