Python | Pandas TimedeltaIndex.to_frame()
Last Updated :
06 Jan, 2019
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_frame()
function create a DataFrame from the given TimedeltaIndex object. The entries of the TimedeltaIndex object becomes the column of the newly constructed DataFrame.
Syntax : TimedeltaIndex.to_frame(index=True)
Parameters :
index : Set the index of the returned DataFrame as the original Index (boolean, default True)
Return : DataFrame : a DataFrame containing the original Index data.
Example #1: Use TimedeltaIndex.to_frame()
function to construct a DataFrame from the given TimedeltaIndex object.
import pandas as pd
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 (tidx)
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Output :
Now we will use the TimedeltaIndex.to_frame()
function to construct a DataFrame using tidx.
Output :
As we can see in the output, the TimedeltaIndex.to_frame()
the function has returned a newly constructed DataFrame using the tidx object. Notice the index of the dataframe is also constructed using the labels of the given object.
Example #2: Use TimedeltaIndex.to_frame()
function to construct a DataFrame from the given TimedeltaIndex object.
import pandas as pd
tidx = pd.TimedeltaIndex(start = '1 days 02:00:12.001124' ,
periods = 5 , freq = 'D' , name = 'Koala' )
print (tidx)
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Output :
Now we will use the TimedeltaIndex.to_frame()
function to construct a DataFrame using tidx.
tidx.to_frame(index = False )
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Output :
As we can see in the output, the TimedeltaIndex.to_frame()
the function has returned a newly constructed DataFrame using the tidx object. Notice the index of the dataframe is also not constructed using the labels of the given object.
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