Python | Pandas Index.shape

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. Python3

# 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. Python3 1==

# 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. Python3

# 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. Python3 1==

# 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.