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.