Skip to main content

Library to use topsis

Project description

Project Description

TOPSIS-PYTHON

Submitted By- Sayantan Pradhan(101803693)

And of course Dillinger itself is open source with a [public repository][dill] on GitHub.

How to use

>>> import pandas as pd
>>> from TOPSIS-Sayantan-101803693.Topsis import topsis
>>> dataset = pd.read_csv('data.csv').values
>>> d = dataset.drop[columns = dataset.columns[0]]
>>> w = [1,1,1,1]
>>> im = ["+" , "+" , "-" , "+" ]
>>> topsis(d,w,im)

Output

The output will be a file generated in your working directory with 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-Sayantan-101803693-0.0.1.tar.gz (2.2 kB view details)

Uploaded Source

Built Distribution

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

TOPSIS_Sayantan_101803693-0.0.1-py3-none-any.whl (3.5 kB view details)

Uploaded Python 3

File details

Details for the file TOPSIS-Sayantan-101803693-0.0.1.tar.gz.

File metadata

  • Download URL: TOPSIS-Sayantan-101803693-0.0.1.tar.gz
  • Upload date:
  • Size: 2.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.9.0

File hashes

Hashes for TOPSIS-Sayantan-101803693-0.0.1.tar.gz
Algorithm Hash digest
SHA256 67d66774c0fa17f10060cde0e0980cfa62e316580a932fd30b0dd68cc3fe1a4c
MD5 d4d25010a8f0aa389b29a61fe80b7812
BLAKE2b-256 184a59e8bdee57282be45a054775c40d407c3ef5d80b3177636a543ec3ea5eea

See more details on using hashes here.

File details

Details for the file TOPSIS_Sayantan_101803693-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: TOPSIS_Sayantan_101803693-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 3.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.9.0

File hashes

Hashes for TOPSIS_Sayantan_101803693-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 600c7f8f20b3a460cafe4cab283527a840813c438760823ef55d30e29d2dd848
MD5 0f4f8041e95255c8b6ccc72e219d7f4e
BLAKE2b-256 b94ad57867d03459482f1b88b14aa1aad582404c3aee7ae807041f6d836c5a81

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