Python | Pandas TimedeltaIndex.dtype

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.dtype attribute return the data type of the TimedeltaIndex object.

Syntax: TimedeltaIndex.dtype

Return : dtype

Example #1: Use TimedeltaIndex.dtype attribute to find the data type of the given TimedeltaIndex object.

filter_none

edit
close

play_arrow

link
brightness_4
code

# 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'])
  
# Print the TimedeltaIndex
print(tidx)

chevron_right


Output :

Now we want to find out the data type of the given TimedeltaIndex object.

filter_none

edit
close

play_arrow

link
brightness_4
code

# return the data type of the 
# values in the given object
tidx.dtype

chevron_right


Output :

As we can see in the output, the TimedeltaIndex.dtype has returned the underlying data type of the values in the tidx object.
 
Example #2: Use TimedeltaIndex.dtype attribute to find the data type of the given TimedeltaIndex object.

filter_none

edit
close

play_arrow

link
brightness_4
code

# importing pandas as pd
import pandas as pd
  
# Create the TimedeltaIndex object
tidx = pd.TimedeltaIndex(data =['-1 days 2 min 3us', '1 days 06:05:01.000030',
                                                '-1 days + 23:59:59.999999'])
  
# Print the TimedeltaIndex
print(tidx)

chevron_right


Output :

Now we want to find out the data type of the given TimedeltaIndex object.

filter_none

edit
close

play_arrow

link
brightness_4
code

# return the data type of the
#  values in the given object
tidx.dtype

chevron_right


Output :

As we can see in the output, the TimedeltaIndex.dtype has returned the underlying data type of the values in the tidx object.



My Personal Notes arrow_drop_up

Check out this Author's contributed articles.

If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.