Simple python script based on manually prepared data from CPI values published by RBI here

The script can inflate or deflate values from one year to another. It can also use linkage factors if RBI has specified it, to calculate values between years with different base years.

Stand alone executable for Windows is now available here

A linux distributable is coming soon.

Python with pandas installed.

Install python, open terminal, type

git clone https://github.com/s7u512/BasicCPIDeflationRBI.git
cd BasicCPIDeflationRBI
pip install pandas
python BasicInflationAdjuster.py

Just run BasicInflationAdjusterStandAlone.py in a terminal or command prompt.

Place BasicInflationAdjusterCPI.py and rbi_consumer_price_index.csv in the same directory. Then just run the script in a terminal or command prompt.

Example output to find how much has Rs.2000 in 2010-11 become in 2021-22 using CPI - IW is given below

Basic Inflation Adjuster Tool
Enter Former Year (format YYYY or YYYY-YY): 1998
Enter Latter Year (format YYYY or YYYY-YY): 2007

Choose a CPI measure by entering the corresponding number:
1. CPI - IW
2. CPI – IW (Food and Beverages)
3. CPI - AL
4. CPI All India General Index Rural
5. CPI All India General Index Urban
6. CPI All India General Index Combined
7. CPI All India Combined: Food and beverages
1
Which is the known value year? Enter 'former' or 'latter': latter
Enter the known CPI value: 784
784.0 in 2007 adjusted using CPI - IW and linking factor 4.63 for the year 1998 is: 169.3304535637149

Please help improve the code.

This work is licensed under the GNU GPLv3 license. This work is free: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This work is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.