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.
# 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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