Skip to main content

Get topsis score

Project description

Topsis_Laksh

Topsis_Laksh is a library for calculating topsis score and ranking them according to the score.

Installation

Use the package manager pip to install this package.

pip install Topsis-Laksh-101916002

Code Snippet

from topsis import main
main()

Usage in terminal

python <filename.py> <data.csv> '1,1,1,1,1' '+,+,-,+,+' <result.csv>

Input file (data.csv)

In this script, the first column should be named 'Fund Name' for the script to work correctly

Fund Name P1 P2 P3 P4
M1 0.79 0.62 1.25 60.89
M2 0.66 0.44 2.89 63.07
M3 0.56 0.31 1.57 62.87
M4 0.82 0.67 2.68 70.19
M5 0.75 0.56 1.3 80.39

Output file (result.csv)

Fund Name P1 P2 P3 P4 Topsis Score Rank
M1 0.79 0.62 1.25 60.89 0.7722 2
M2 0.66 0.44 2.89 63.07 0.2255 5
M3 0.56 0.31 1.57 62.87 0.4388 4
M4 0.82 0.67 2.68 70.19 0.5238 3
M5 0.75 0.56 1.3 80.39 0.8113 1

The output file contains columns of input file along with two additional columns having Topsis Score and Rank

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

Topsis-Laksh-101916002-0.0.6.tar.gz (3.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

Topsis_Laksh_101916002-0.0.6-py3-none-any.whl (3.1 kB view details)

Uploaded Python 3

File details

Details for the file Topsis-Laksh-101916002-0.0.6.tar.gz.

File metadata

  • Download URL: Topsis-Laksh-101916002-0.0.6.tar.gz
  • Upload date:
  • Size: 3.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for Topsis-Laksh-101916002-0.0.6.tar.gz
Algorithm Hash digest
SHA256 431f2c2d662f5a010e335e88a3d62a338d347e883be33db1d402b536821e067d
MD5 d4bf23fa16143de5836b6ae37edc6195
BLAKE2b-256 c6e1c4bd8acfa1a69d39423b26a5484a45854351ea70529b92b7355a9f303ae1

See more details on using hashes here.

File details

Details for the file Topsis_Laksh_101916002-0.0.6-py3-none-any.whl.

File metadata

  • Download URL: Topsis_Laksh_101916002-0.0.6-py3-none-any.whl
  • Upload date:
  • Size: 3.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for Topsis_Laksh_101916002-0.0.6-py3-none-any.whl
Algorithm Hash digest
SHA256 ef7b00aed0716d119d4bd021e4cbdc12424753ab459e27a0a5c19d9fe871e7a6
MD5 57c36378b9c4e65f72e76d3358ca829d
BLAKE2b-256 f6fbe026d12ad46a5a08ea4572bec880bd3a35fe039e6e4081372f76e55518d3

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page