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.timetuple() function return a time tuple for the given Timestamp object. The returned tuple contains values ranging from year, month to hours and seconds. The time tuple is compatible with time.localtime().
Syntax :Timestamp.timetuple()
Parameters : None
Return : time tuple
Example #1: Use Timestamp.timetuple() function to return a time tuple for the given Timestamp object.
# importing pandas as pd import pandas as pd # Create the Timestamp object ts = pd.Timestamp(year = 2011, month = 11, day = 21, hour = 10, second = 49, tz = 'US/Central') # Print the Timestamp object print(ts) |
Output :
Now we will use the Timestamp.timetuple() function to return a time tuple.
# return time tuple ts.timetuple() |
Output :
As we can see in the output, the Timestamp.timetuple() function has returned a tuple for the given Timestamp object which contains values like year, month, day etc.
Example #2: Use Timestamp.timetuple() function to return a time tuple for 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.timetuple() function to return a time tuple.
# return time tuple ts.timetuple() |
Output :
As we can see in the output, the Timestamp.timetuple() function has returned a tuple for the given Timestamp object which contains values like year, month, day etc.