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Python | Pandas TimedeltaIndex.ravel

  • 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.ravel() function return an ndarray of the flattened values of the underlying data of the TimedeltaIndex object.

Syntax : TimedeltaIndex.ravel()

Parameters : None

Return : ndarray

Example #1: Use TimedeltaIndex.ravel() function to return an ndarray of the given TimedeltaIndex object.




# importing pandas as pd
import pandas as pd
  
# Create the TimedeltaIndex object
tidx=pd.TimedeltaIndex(data=['06:05:01.000030', None, '22 day 2 min 3us 10ns'
                                  '+23:59:59.999999',None,'+12:19:59.999999'])
  
# Print the TimedeltaIndex object
print(tidx)

Output :

Now we will use the TimedeltaIndex.ravel() function to return an ndarray of the tidx object.




# return an ndarray
tidx.ravel()

Output :

As we can see in the output, the TimedeltaIndex.ravel() function has returned an ndarray of the underlying data in the given TimedeltaIndex object.
 
Example #2: Use TimedeltaIndex.ravel() function to return an ndarray of the given TimedeltaIndex object.




# importing pandas as pd
import pandas as pd
  
# Create the TimedeltaIndex object
tidx=pd.TimedeltaIndex(data=[None,'1 days 06:05:01.000030',None,
                   '1 days 02:00:00','21 days 06:15:01.000030'])
  
# Print the TimedeltaIndex object
print(tidx)

Output :

Now we will use the TimedeltaIndex.ravel() function to return an ndarray of the tidx object.




# return an ndarray
tidx.ravel()

Output :

As we can see in the output, the TimedeltaIndex.ravel() function has returned an ndarray of the underlying data in the given TimedeltaIndex object.


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