Python | Pandas Index.shape
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.shape
attribute return a tuple of the shape of the underlying data in the given Index object.
Syntax: Index.shape
Parameter : None
Returns : tuple
Example #1: Use Index.shape
attribute to return a tuple of the shape of the underlying data in 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.shape
attribute to return a tuple of the shape of the underlying data in the given Index object.
result = idx.shape
print (result)
|
Output :
As we can see in the output, the Index.shape
attribute has returned a tuple based on the size of the underlying data in the given Index object.
Example #2 : Use Index.shape
attribute to return a tuple of the shape of the underlying data in 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.shape
attribute to return a tuple of the shape of the underlying data in the given Index object.
result = idx.shape
print (result)
|
Output :
As we can see in the output, the Index.shape
attribute has returned a tuple based on the size of the underlying data in the given Index object.
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