Project description

Topsis Analysis

pip install TOPSIS-JagritiKhanna

Following query on terminal will provide you the topsis analysis for input csv file.

topsis -n "dataset-name" -w "w1,w2,w3,w4,..." -i "i1,i2,i3,i4,..."

Note that the first row and first column of dataset is dropped

Rank 1 signifies best decision

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

This version

0.1.0

Jan 19, 2020

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

Uploaded Jan 19, 2020 Source

Uploaded Jan 19, 2020 Python 3

Hashes for TOPSIS-JagritiKhanna-0.1.0.tar.gz
Algorithm	Hash digest
SHA256	`eec1e35881ac8c4ba12f4025ac7a282efad5f06ab1e993cdcac02fea33527089`
MD5	`77b2a00227967dd4476ca8848dc17df0`
BLAKE2b-256	`af61e4bf4f978e26b34c2d028283f32a020dd7a701b01e3850ea36d501ae903d`

Hashes for TOPSIS_JagritiKhanna-0.1.0-py3-none-any.whl
Algorithm	Hash digest
SHA256	`b40aefcab8cb00ab8360ed19289e609acc2b12f44d1b6b5a07ad8d9d7328f761`
MD5	`acc15b5ee86c80194beef8621c0579f8`
BLAKE2b-256	`071afe682745bc3ed127903db2a1cb4f3cdbdccb3e60e038628c30cb8d594bbb`