Skip to main content

Topsis-Manmeet-101903767

Topsis-Manmeet-101903767 is a python package to implement Multiple criteria decision making (MCDM) using TOPSIS. It takes data, calculates topsis score and ranks the data according to the score.

Installation

Run the following command in the terminal to install the package:
pip install Topsis-Manmeet-101903767

Importing and Using in Source File

Run the following commands to import the package into your python file:
topsis = import('topsis') topsis.main()

How to get Output File

To get the output file with topsis score and rank you need to provide 4 arguments- csv filename, weights, impacts and output filename and then run on terminal in order to generate output file.
Sample Case:
python filename.py data.csv "1,2,1,1,2" "+,-,+,-,-" outputfilename.csv

License

Copyright(c) 2022 Manmeet Singh Chhabra

Metadata

Release files for Topsis-Manmeet-101903767 0.0.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for Topsis-Manmeet-101903767 0.0.3
File Size Uploaded Provenance Actions
Topsis-Manmeet_101903767-0.0.3.tar.gz 1.9 kB Without provenance Details for Topsis-Manmeet_101903767-0.0.3.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for Topsis-Manmeet-101903767 0.0.3
File Interpreter ABI Platform Actions
Topsis_Manmeet_101903767-0.0.3-py3-none-any.whl Python 3 none any Details for Topsis_Manmeet_101903767-0.0.3-py3-none-any.whl

Total release size: 4.0 kB

Release files / Topsis-Manmeet_101903767-0.0.3.tar.gz

Download URL Topsis-Manmeet_101903767-0.0.3.tar.gz
Size 1.9 kB
Tags Source
SHA-256 checksum
How to use checksums
659cdbc0b942f4c696167b0869c1260b4ef83ceed261d748bca9a0250e5e6f0c
BLAKE2b-256 checksum
How to use checksums
eac01e10146b960024bfe91f2c78dfedd3f038e8eb3bcbb629ff638ad95ccd0a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.7 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.7

Release files / Topsis_Manmeet_101903767-0.0.3-py3-none-any.whl

Download URL Topsis_Manmeet_101903767-0.0.3-py3-none-any.whl
Size 2.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
4efbbb7283037d16bde62c3e61d89cbcb8a048164822fe687e8f02517296f642
BLAKE2b-256 checksum
How to use checksums
88d734b4b64c5eb4795f48a2520c455ba3f100bc16c14fd081020414577e04ee
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.7 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.7

Security for Topsis-Manmeet-101903767 0.0.3

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page