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Topsis Result Calculator

It runs on terminal and takes a csv file , weights of column, impacts and name of the output file as input and gives an output csv file that contains topsis performance score and the rank of a particular entity.

Installation

On your terminal run the command below:
pip install Topsis-RaghavNarula-101903795

Importing and using in source file

use the package in source file as follows:

tbj=__import__("topsis")
tbj.get_topsis_result()

How to get output?

output is taken by running the command on terminal as : python "sourcefile.py" "input.csv" "weights(separateed by ',')" "impact(separated by ','))" use impact as '+' for maximizing the feature and '-' for minimizing. On your terminal run the command:
python source_file_name.py input_file.csv "1,1,0,1" "+,-,+,+" output_file_name.csv
It will display the input arguments and the input data on terminal screen and Output will be stored in your present working directory as a csv file.

Constraints

Number of columns in input file(other than the name of the entity) should be equal to length of impacts and length of weights.

Input file should not have blank values

Number of Columns in Input files should not be less than 3

There should not be any csv file with same name as your output file in present directory

Number of Arguments should be equal to the number as specified above

Release files for Topsis-RaghavNarula-101903795 1.0.0

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-RaghavNarula-101903795 1.0.0
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Built distribution (wheel)

Table of built distributions (wheels) for Topsis-RaghavNarula-101903795 1.0.0
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Topsis_RaghavNarula_101903795-1.0.0-py3-none-any.whl Python 3 none any Details

Total release size: 8.4 kB

Release files / Topsis-RaghavNarula-101903795-1.0.0.tar.gz

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