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.
# 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)
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Output :
Now we will use Index.strides attribute to find the strides for the underlying data in the given Index object.
# return the number of strides result = idx.strides
# Print the result print(result)
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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.
# 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)
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Output :
Now we will use Index.strides attribute to find the strides for the underlying data in the given Index object.
# return the number of strides result = idx.strides
# Print the result 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.