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.
