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.
