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.size attribute return the number of elements in the underlying data of the given Index object.
Syntax: Index.size
Parameter : None
Returns : number of elements in the Index
Example #1: Use Index.size attribute to find the number of elements in the underlying data of 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.size attribute to find the number of elements in the given Index object.
# return the number of elements result = idx.size # Print the result print(result) |
Output :
As we can see in the output, the Index.size attribute has returned the number of elements in the given Index object.
Example #2 : Use Index.size attribute to find the number of elements in the underlying data of 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.size attribute to find the number of elements in the given Index object.
# return the number of elements result = idx.size # Print the result print(result) |
Output :
As we can see in the output, the Index.size attribute has returned the number of elements in the given Index object.
