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.
Pandas Timestamp.nanosecond
attribute return the nanosecond value of the given Timestamp object.
Syntax : Timestamp.nanosecond
Parameters : None
Return : nanosecond
Example #1: Use Timestamp.nanosecond
attribute to find the nanosecond value in the given Timestamp object.
# importing pandas as pd import pandas as pd # Create the Timestamp object ts = pd.Timestamp( 2016 , 1 , 1 , 12 , 25 , 16 , 28 , 32 ) # Print the Timestamp object print (ts) |
Output :
Now we will use the Timestamp.nanosecond
attribute to print the value of nanosecond in ts object.
# find the value of nanosecond ts.nanosecond |
Output :
As we can see in the output, the Timestamp.nanosecond
attribute has returned 32 indicating that the value of nanosecond in the ts object is set to 32.
Example #2: Use Timestamp.nanosecond
attribute to find the nanosecond value in the given Timestamp object.
# importing pandas as pd import pandas as pd # Create the Timestamp object ts = pd.Timestamp(year = 2009 , month = 5 , day = 31 , hour = 4 , nanosecond = 15 , tz = 'Europe/Berlin' ) # Print the Timestamp object print (ts) |
Output :
Now we will use the Timestamp.nanosecond
attribute to print the value of nanosecond in ts object.
# find the value of nanosecond ts.nanosecond |
Output :
As we can see in the output, the Timestamp.nanosecond
attribute has returned 15 indicating that the value of nanosecond in the ts object is set to 15.