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Python | Pandas Index.shape

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  • 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.




# importing pandas as pd
import pandas as pd
  
# Creating the index
idx = pd.Index(['Melbourne', 'Sanghai', 'Lisbon', 'Doha', 'Moscow', 'Rio'])
  
# Print the index
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.




# return a tuple of the shape
# of data in idx object
result = idx.shape
  
# Print the result
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.




# importing pandas as pd
import pandas as pd
  
# Creating the index
idx = pd.Index([900 + 3j, 700 + 25j, 620 + 10j, 388 + 44j, 900])
  
# Print the index
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.




# return a tuple of the shape
# of data in idx object
result = idx.shape
  
# Print the result
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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