Return a Sorted Copy of the Index in Descending Order in Python Pandas

To return a sorted copy of the index, use the index.sort_values() method in Pandas. The parameter ascending is set False.

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. To sort values in Descending order, set the "ascending" parameter to "False" −

print("\nSort the index values in descending order...\n",index.sort_values(ascending=False))

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
# To sort values in Descending order, set the "ascending" parameter to "False"
print("\nSort the index values in descending order...\n",index.sort_values(ascending=False))

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 in descending order...
Int64Index([110, 95, 90, 70, 50, 30, 10], dtype='int64')