Python | Pandas Index.strides
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.strides
attribute return the strides of the underlying data of the given Index object. It basically return a tuple of bytes to step in each dimension when traversing the Index.
Syntax: Index.strides
Parameter : None
Returns : number of strides
Example #1: Use Index.strides
attribute to find the strides for 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.strides
attribute to find the strides for the underlying data in the given Index object.
result = idx.strides
print (result)
|
Output :
As we can see in the output, the Index.strides
attribute has returned the strides for the underlying data in the given Index object.
Example #2 : Use Index.strides
attribute to find the strides for 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.strides
attribute to find the strides for the underlying data in the given Index object.
result = idx.strides
print (result)
|
Output :
As we can see in the output, the Index.strides
attribute has returned the strides for the underlying data in the given Index object.
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