Python Pandas - Return a sorted copy of the index

To return a sorted copy of the index, use the index.sort_values() method in Pandas. At first, import the required libraries −

import pandas as pd

Creating Pandas index −

index = pd.Index([50, 10, 70, 95, 110, 90, 30])

Display the Pandas index −

print("Pandas Index...\n",index)

Sort index values. By default, sorts in Ascending order −

print("\nSort the index values...\n",index.sort_values())

Example

Following is the code −

import pandas as pd

# Creating Pandas index
index = pd.Index([50, 10, 70, 95, 110, 90, 30])

# 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)

# Sort index values
# By default, sorts in Ascending order
print("\nSort the index values...\n",index.sort_values())

Output

This will produce the following output −

Pandas Index...
Int64Index([50, 10, 70, 95, 110, 90, 30], dtype='int64')

Number of elements in the index...
7

The dtype object...
int64

Sort the index values...
Int64Index([10, 30, 50, 70, 90, 95, 110], dtype='int64')