Python | Pandas Index.values
Last Updated :
20 Feb, 2019
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.values
attribute return an array representing the data in the given Index object.
Syntax: Index.values
Parameter : None
Returns : an array
Example #1: Use Index.values
attribute to return an array representing the 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.values
attribute to return an array representing the data in the given Index object.
result = idx.values
print (result)
|
Output :
As we can see in the output, the Index.values
attribute has successfully returned an array representing the data of the given Index object.
Example #2 : Use Index.values
attribute to return an array representing the 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.values
attribute to return an array representing the data in the given Index object.
result = idx.values
print (result)
|
Output :
As we can see in the output, the Index.values
attribute has successfully returned an array representing the data of the given Index object.
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