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.to_series() function create a Series with both index and values equal to the index keys useful with map for returning an indexer based on an index.
Syntax : TimedeltaIndex.to_series(index = None, name = None)
Parameters :
index :index of resulting Series. If None, defaults to original index (Index, optional)
name :name of resulting Series. If None, defaults to name of original index (string, optional)Return : Series : dtype will be based on the type of the Index values.
Example #1: Use TimedeltaIndex.to_series() function to construct a Series object from the given TimedeltaIndex object.
# importing pandas as pd import pandas as pd   # Create the TimedeltaIndex object tidx = 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'])   # Print the TimedeltaIndex object print(tidx) |
Output :
Now we will use the TimedeltaIndex.to_series() function to construct a Series object using tidx.
# return a series tidx.to_series() |
Output :
As we can see in the output, the TimedeltaIndex.to_series() function has returned a newly constructed Series object using the tidx object. Notice the index of the Series is also constructed using the labels of the given object.
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Example #2: Use TimedeltaIndex.to_series() function to construct a Series object from the given TimedeltaIndex object.
# importing pandas as pd import pandas as pd   # Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(start ='1 days 02:00:12.001124',                         periods = 5, freq ='D', name ='Koala')   # Print the TimedeltaIndex object print(tidx) |
Output :
Now we will use the TimedeltaIndex.to_series() function to construct a Series object using tidx.
# return a series tidx.to_series() |
Output :
As we can see in the output, the TimedeltaIndex.to_series() function has returned a newly constructed Series object using the tidx object. Notice the index of the Series is also constructed using the labels of the given object.
