Find Indexes for Values to Maintain Order in Pandas Index

To find indexes where values passed as an array should be inserted to maintain order in Pandas index, use the index.searchsorted() method.

At first, import the required libraries −

import pandas as pd

Creating Pandas index −

index = pd.Index([10, 20, 30, 40, 50])

Display the Pandas index −

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

Searchsorted − set the values to insert like an array and get the exact index positions where these values should be placed −

print("\nThe exact positions where the values should be placed?...\n",index.searchsorted([35, 60]))

Example

Following is the code −

import pandas as pd

# Creating Pandas index
index = pd.Index([10, 20, 30, 40, 50])

# 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)

# searchsorted
# set the values to insert like an array and get the exact index positions
# where these values should be placed
print("\nThe exact positions where the values should be placed?...\n",index.searchsorted([35, 60]))

Output

This will produce the following output −

Pandas Index...
Int64Index([10, 20, 30, 40, 50], dtype='int64')

Number of elements in the index...
5

The exact positions where the values should be placed?...
[3 5]