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.nbytes
attribute return the number bytes occupied by the TimedeltaIndex object.
Syntax : TimedeltaIndex.nbytes
Return : size of the object in bytes
Example #1: Use TimedeltaIndex.nbytes
attribute to find out the number of bytes occupied by the TimedeltaIndex object.
# importing pandas as pd import pandas as pd
# Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(start = '1 days 02:00:12.001124' , periods = 5 ,
freq = 'N' , name = 'Koala' )
# Print the TimedeltaIndex print (tidx)
|
Output :
Now we will print the number bytes taken by tidx object.
# find the size of tidx object in bytes tidx.nbytes |
Output :
As we can see in the output, the TimedeltaIndex.nbytes
attribute has returned 40 indicating that tidx object is occupying this size memory block.
Example #2: Use TimedeltaIndex.nbytes
attribute to find out the nanoseconds value for each entry of the TimedeltaIndex object.
# importing pandas as pd import pandas as pd
# Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(data = [ '-1 days 2 min 3us 10ns' , '1 days 06:05:01.000030' ,
'-1 days + 23:59:59.999999' ])
# Print the TimedeltaIndex print (tidx)
|
Output :
Now we will print the number bytes taken by tidx object.
# find the size of tidx object in bytes tidx.nbytes |
Output :
As we can see in the output, the TimedeltaIndex.nbytes
attribute has returned 24 indicating that tidx object is occupying this size memory block.