To return the integer indices that would sort the index, use the index.argsort() method in Pandas. At first, import the required libraries −
import pandas as pd
Creating Pandas index −
index = pd.Index(['Electronics','Accessories','Decor', 'Books', 'Toys'], name ='Products')
Display the Pandas index −
print("Pandas Index...\n",index)
Return the integer indices that would sort the index −
res = index.argsort()
Example
Following is the code −
import pandas as pd # Creating Pandas index index = pd.Index(['Electronics','Accessories','Decor', 'Books', 'Toys'], name ='Products') # Display the Pandas index print("Pandas Index...\n",index) # Return the number of elements in the Index print("\nNumber of elements in the index...\n",index.size) # Return the dtype of the data print("\nThe dtype object...\n",index.dtype) res = index.argsort() # Return the integer indices that would sort the index print("\nThe integer indices to sort the index...\n",res) print("\nOrdered..\n",index[res])
Output
This will produce the following output −
Pandas Index... Index(['Electronics', 'Accessories', 'Decor', 'Books', 'Toys'], dtype='object', name='Products') Number of elements in the index... 5 The dtype object... object The integer indices to sort the index... [1 3 2 0 4] Ordered.. Index(['Accessories', 'Books', 'Decor', 'Electronics', 'Toys'], dtype='object', name='Products')