Open In App

Python | Pandas TimedeltaIndex.itemsize

Improve
Improve
Like Article
Like
Save
Share
Report

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.itemsize attribute return the size of the dtype of the item of the underlying data.

Syntax : TimedeltaIndex.itemsize

Return : size of dtype

Example #1: Use TimedeltaIndex.itemsize attribute to find out the size of the data type of the underlying data in the TimedeltaIndex object.




# importing pandas as pd
import pandas as pd
  
# Create the TimedeltaIndex object
tidx = pd.TimedeltaIndex(start ='1 days 02:00:00', periods = 5, freq ='T')
  
# Print the TimedeltaIndex
print(tidx)


Output :

Now we will find out the size of the dtype of the underlying data.




# find the size of the dtype of the underlying data
tidx.itemsize


Output :

As we can see in the output, the TimedeltaIndex.itemsize attribute has returned ‘8’ which is the size of the ‘timedelta64[ns]’ dtype.
 
Example #2: Use TimedeltaIndex.itemsize attribute to find out the size of the data type of the underlying data in the TimedeltaIndex object.




# importing pandas as pd
import pandas as pd
  
# Create the TimedeltaIndex object
tidx = pd.TimedeltaIndex(data =['1 days 02:00:00', '1 days 06:05:01.000030',
                                                        '1 days 02:00:00'])
  
# Print the TimedeltaIndex
print(tidx)


Output :

Now we will find out the size of the dtype of the underlying data.




# find the size of the dtype of the underlying data
tidx.itemsize


Output :

As we can see in the output, the TimedeltaIndex.itemsize attribute has returned ‘8’ which is the size of the ‘timedelta64[ns]’ dtype.



Last Updated : 29 Dec, 2018
Like Article
Save Article
Previous
Next
Share your thoughts in the comments
Similar Reads