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 TimedeltaIndex.transpose() function return the transpose of the given TimedeltaIndex object, which is by definition self.
Syntax : TimedeltaIndex.transpose(*args, **kwargs)
Parameters : *args, **kwargs
Return : Object of same typeÂ
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Example #1: Use TimedeltaIndex.transpose() function to find the transpose of the given TimedeltaIndex object.Â
Python3
# importing pandas as pdimport pandas as pdÂ
# Create the TimedeltaIndex objecttidx = pd.TimedeltaIndex(data =['06:05:01.000030', '+23:59:59.999999',                        '22 day 2 min 3us 10ns', '+23:29:59.999999',                        '+12:19:59.999999'])Â
# Print the TimedeltaIndex objectprint(tidx) |
Output :Â
Now we will use the TimedeltaIndex.transpose() function to find the transpose of the tidx object.
Python3
# find transposetidx.transpose() |
Output :Â
As we can see in the output, the TimedeltaIndex.transpose() function has returned the transpose of the tidx object which is by definition self.Â
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Example #2: Use TimedeltaIndex.transpose() function to find the transpose of the given TimedeltaIndex object.
Python3
# importing pandas as pdimport pandas as pdÂ
# Create the TimedeltaIndex objecttidx = pd.TimedeltaIndex(start ='1 days 02:00:12.001124',                        periods = 5, freq ='D', name ='Koala')Â
# Print the TimedeltaIndex objectprint(tidx) |
Output :Â
Now we will use the TimedeltaIndex.transpose() function to find the transpose of the tidx object.
Python3
# find transposetidx.transpose() |
Output :Â
As we can see in the output, the TimedeltaIndex.transpose() function has returned the transpose of the tidx object which is by definition self.
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