Skip to main content

A Python package for topsis analysis.

Project description

Topsis-Shivangi-101903122

It takes dataset, weights and impacts associated to the columns of dataset and output file to perform topsis on input dataset.

Installation

pip install Topsis-Shivangi-101903122

Usage

Step 1: Open the command prompt Step 2: type

python

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-Shivangi-101903122-1.0.0.tar.gz (3.4 kB view details)

Uploaded Source

Built Distribution

Topsis_Shivangi_101903122-1.0.0-py3-none-any.whl (3.9 kB view details)

Uploaded Python 3

File details

Details for the file Topsis-Shivangi-101903122-1.0.0.tar.gz.

File metadata

  • Download URL: Topsis-Shivangi-101903122-1.0.0.tar.gz
  • Upload date:
  • Size: 3.4 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/3.10.2

File hashes

Hashes for Topsis-Shivangi-101903122-1.0.0.tar.gz
Algorithm Hash digest
SHA256 55a67e103bd8d9cc4bdc24f5f99337916aedcbb69514d0bc214ea4962561fd24
MD5 f6c47f69bb004d1baf2855f9bf76b806
BLAKE2b-256 542e46c0792c4224af228c95ba682bbb1ac04b4870dec36c90a99946c6aa7581

See more details on using hashes here.

File details

Details for the file Topsis_Shivangi_101903122-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: Topsis_Shivangi_101903122-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 3.9 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/3.10.2

File hashes

Hashes for Topsis_Shivangi_101903122-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 da2a342d1813ec723c741fc647df6f3980d315b8d3efe12d4922cc37ffa4f247
MD5 fe1cdc85eefc5ba49a4808c6b314f68b
BLAKE2b-256 cc385d5cadf7b9cf4fbde55668c66e62f26ecb654e7d749d0d921249a878b1c7

See more details on using hashes here.

Supported by

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