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Sort index in ascending order – Python Pandas
The sort_index() is used to sort index in ascending and descending order. If you won’t mention any parameter, then index sorts in ascending order.
At first, import the required library −
import pandas as pd
Create a new DataFrame. It has unsorted indexes −
dataFrame = pd.DataFrame([100, 150, 200, 250, 250, 500],index=[4, 8, 2, 9, 15, 11],columns=['Col1'])
Sort the indexes −
dataFrame.sort_index()
Example
Following is the code −
import pandas as pd dataFrame = pd.DataFrame([100, 150, 200, 250, 250, 500],index=[4, 8, 2, 9, 15, 11],columns=['Col1']) print"DataFrame...
",dataFrame print"
Sort index...
",dataFrame.sort_index()
Output
This will produce the following output −
DataFrame... Col1 4 100 8 150 2 200 9 250 15 250 11 500 Sort index... Col1 2 200 4 100 8 150 9 250 11 500 15 250
Updated on 21-Sep-2021 06:23:07
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