Python | Pandas Index.ndim
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.ndim
attribute return the number of dimensions of the underlying data in the given Index object. By definition it is 1.
Syntax: Index.ndim
Parameter : None
Returns : number of dimensions
Example #1: Use Index.ndim
attribute to find out the number of dimensions of the underlying data in the given Index object.
import pandas as pd
idx = pd.Index([ 'Melbourne' , 'Sanghai' , 'Lisbon' , 'Doha' , 'Moscow' , 'Rio' ])
print (idx)
|
Output :
Now we will use Index.ndim
attribute to find out the number of dimensions of the underlying data in the given Index object.
result = idx.ndim
print (result)
|
Output :
As we can see in the output, the Index.ndim
attribute has returned 1, indicating that the dimension of the underlying data in the given Index object is 1.
Example #2 : Use Index.ndim
attribute to find out the number of dimensions of the underlying data in the given Index object.
import pandas as pd
idx = pd.Index([ 900 + 3j , 700 + 25j , 620 + 10j , 388 + 44j , 900 ])
print (idx)
|
Output :
Now we will use Index.ndim
attribute to find out the number of dimensions of the underlying data in the given Index object.
result = idx.ndim
print (result)
|
Output :
As we can see in the output, the Index.ndim
attribute has returned 1, indicating that the dimension of the underlying data in the given Index object is 1.
Last Updated :
20 Feb, 2019
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