Python | Pandas Index.nbytes
Last Updated :
20 Feb, 2019
Pandas Index is an immutable ndarray implementing an ordered, sliceable set. It is the basic object which stores the axis labels for all pandas objects.
Pandas Index.nbytes
attribute return the number of bytes required to store the underlying data of the given Index object.
Syntax: Index.nbytes
Parameter : None
Returns : number of bytes needed to store the data
Example #1: Use Index.nbytes
attribute to find out the number of bytes required to store the underlying data of the given Index object.
import pandas as pd
idx = pd.Index([ 'Melbourne' , 'Sanghai' , 'Lisbon' , 'Doha' , 'Moscow' , 'Rio' ])
print (idx)
|
Output :
Now we will use Index.nbytes
attribute to find out the number of bytes required to store the data in the given Index object.
result = idx.nbytes
print (result)
|
Output :
As we can see in the output, the Index.nbytes
attribute has returned 48, indicating that 48 bytes are needed to store the data in the given Index object.
Example #2 : Use Index.nbytes
attribute to find out the number of bytes required to store the underlying data of the given Index object.
import pandas as pd
idx = pd.Index([ 900 + 3j , 700 + 25j , 620 + 10j , 388 + 44j , 900 ])
print (idx)
|
Output :
Now we will use Index.nbytes
attribute to find out the number of bytes required to store the data in the given Index object.
result = idx.nbytes
print (result)
|
Output :
As we can see in the output, the Index.nbytes
attribute has returned 40, indicating that 40 bytes are needed to store the data in the given Index object.
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