Python Pandas Timedelta.asm8 Attribute

asm8 – Python Pandas Timedelta.asm8 Attribute

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asm8: Timedelta is a subclass of datetime.timedelta, and it performs similarly. It’s Pandas’ version of Python’s datetime.timedelta. In most circumstances, it is interchangeable with it.

Pandas Timedelta.asm8 Attribute:

This property Timedelta.asm8 of the pandas module returns a numpy timedelta64 array view.

Syntax:

Timedelta.asm8

Parameters: It has no arguments

Return Value:

A numpy timedelta64 array view is returned by the Timedelta.asm8 of the pandas module.

Pandas Timedelta.asm8 Attribute in Python

Example1

Approach:

  • Import pandas module using the import keyword.
  • Pass some random Timestamp in the format(days, hours, minutes, seconds, milliseconds, microseconds, nanoseconds) to the Timedelta() function of the pandas module to get the Timedelta object.
  • Store it in a variable
  • Print the above obtained Timedelta object
  • Apply asm8 attribute on the above Timedelta object to get the numpy timedelta64 array view of the given Timedelta object.
  • The Exit of the Program.

Below is the implementation:

# Import pandas module using the import keyword.
import pandas as pd
# Pass some random Timestamp in the format(days, hours, minutes, seconds,
# milliseconds, microseconds, nanoseconds) to the Timedelta() function of 
# the pandas module to get the Timedelta object.
# Store it in a variable
timedelta_obj = pd.Timedelta('7 days 10:15:08.13010') 
# Print the above obtained Timedelta object
print("The above obtained Timedelta object:", timedelta_obj) 

# Apply asm8 attribute on the above Timedelta object to get the 
# numpy timedelta64 array view of the given Timedelta object.
print("The numpy timedelta64 array view of the given Timedelta object:")
print(timedelta_obj.asm8)

Output:

The above obtained Timedelta object: 7 days 10:15:08.130100
The numpy timedelta64 array view of the given Timedelta object:
641708130100000 nanoseconds

Example2

Here only days, minutes are passed as arguments.

Approach:

  • Import pandas module using the import keyword.
  • Pass some random Timestamp in the format(days, minutes) to the Timedelta() function of the pandas module to get the Timedelta object.
  • Store it in a variable
  • Print the above obtained Timedelta object.
  • Apply asm8 attribute on the above Timedelta object to get the numpy timedelta64 array view of the given Timedelta object.
  • The Exit of the Program.

Below is the implementation:

# Import pandas module using the import keyword.
import pandas as pd
# Pass some random Timestamp in the format(days, minutes) to the Timedelta() 
# function of the pandas module to get the Timedelta object.
# Store it in a variable
timedelta_obj = pd.Timedelta('6 days 30 minutes') 
# Print the above obtained Timedelta object
print("The above obtained Timedelta object:", timedelta_obj) 
print()
# Apply asm8 attribute on the above Timedelta object to get the 
# numpy timedelta64 array view of the given Timedelta object.
print("The numpy timedelta64 array view of the given Timedelta object:")
print(timedelta_obj.asm8)

Output:

The above obtained Timedelta object: 6 days 00:30:00

The numpy timedelta64 array view of the given Timedelta object:
520200000000000 nanoseconds

Example3

# Import pandas module using the import keyword.
import pandas as pd
# Pass some random Timestamp in the format(days, minutes, seconds) to the Timedelta() 
# function of the pandas module to get the Timedelta object.
# Store it in a variable
timedelta_obj = pd.Timedelta(days=12,  minutes=15, seconds=20) 
# Print the above obtained Timedelta object
print("The above obtained Timedelta object:", timedelta_obj) 
print()
# Apply asm8 attribute on the above Timedelta object to get the 
# numpy timedelta64 array view of the given Timedelta object.
print("The numpy timedelta64 array view of the given Timedelta object:")
print(timedelta_obj.asm8)

Output:

The above obtained Timedelta object: 12 days 00:15:20

The numpy timedelta64 array view of the given Timedelta object:
1037720000000000 nanoseconds

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