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.microsecond attribute return the value of microsecond in the given Timestamp object.
Syntax : Timestamp.microsecond
Parameters : None
Return : microsecond
Example #1: Use Timestamp.microsecond attribute to find the value of microsecond 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) # Print the Timestamp object print(ts) |
Output :
Now we will use the Timestamp.microsecond attribute to print the value of microsecond in ts object.
# find the value of microsecond ts.microsecond |
Output :
As we can see in the output, the Timestamp.microsecond attribute has returned 28 indicating that the value of microsecond in the ts object is set to 28.
Example #2: Use Timestamp.microsecond attribute to find the value of microsecond 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, microsecond = 15, tz = 'Europe/Berlin') # Print the Timestamp object print(ts) |
Output :
Now we will use the Timestamp.microsecond attribute to print the value of microsecond in ts object.
# find the value of microsecond ts.microsecond |
Output :
As we can see in the output, the Timestamp.microsecond attribute has returned 15 indicating that the value of microsecond in the ts object is set to 15.
