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.second attribute return an integer value which represents the value of second in the given Timestamp object.
Syntax : Timestamp.second
Parameters : None
Return : second
Example #1: Use Timestamp.second attribute to find second’s 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.second attribute to find the second’s value in the given object.
# return the value of second ts.second |
Output :
As we can see in the output, the Timestamp.second attribute has returned 16 indicating that the second’s value in the given object is set to 16.
Example #2: Use Timestamp.second attribute to find second’s 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, second = 49, tz = 'Europe/Berlin') # Print the Timestamp object print(ts) |
Output :
Now we will use the Timestamp.second attribute to find the second’s value in the given object.
# return the value of second ts.second |
Output :
As we can see in the output, the Timestamp.second attribute has returned 49 indicating that the second’s value in the given object is set to 49.
