Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.
Timedelta is a subclass of datetime.timedelta, and behaves in a similar manner. It is the pandas equivalent of python’s datetime.timedelta and is interchangeable with it in most cases. Timedelta.asm8 property in pandas.Timedelta is used to return a numpy timedelta64 array view.
Syntax: Timedelta.asm8
Parameters: None
Returns: numpy timedelta64 array view
Code #1:
# importing pandas as pd import pandas as pd # Create the Timedelta object td = pd.Timedelta('3 days 06:05:01.000030') # Print the Timedelta object print(td) print(td.asm8) |
Output:
3 days 06:05:01.000030 281101000030000 nanoseconds
Code #2:
# importing pandas as pd import pandas as pd # Create the Timedelta object td = pd.Timedelta('1 days 7 hours') # Print the Timedelta object print(td) print(td.asm8) |
Output:
1 days 07:00:00 111600000000000 nanoseconds
Code #3:
# importing pandas as pd import pandas as pd import datetime # Create the Timedelta object td = pd.Timedelta(datetime.timedelta(days = 3, hours = 7, seconds = 8)) # Print the Timedelta object print(td) print(td.asm8) |
Output:
3 days 07:00:08 284408000000000 nanoseconds
