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Python Pandas - Return a sorted copy of the index in descending order
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')
Updated on: 14-Oct-2021
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