FAIRmaterials 0.0.212

Build a json file based on FAIRification standard

Fairmaterials

Fairmaterials is a tool for fairing data. It reads a template JSON file to get the preset data. The user can edit the data by manually inputting or by importing a csv file. The final output will be a new JSON file with the same structure.

Features

• Importing JSON template as JSON-LD.
• Display fair data in dataframe format.
• Automatically notify duplicate names.
• Modify JSON data.
  • Based on CSV file.
  • Based on keyboard input.
• Output as standard JSON-LD.
• CSV-based group input and output.

Setup

1. Install it at bash

$ pip install fairmaterials

2. Import it in python

from fairmaterials.fair import fairjson

A quick example

Load a template file

device=fairjson('cots_json_template.json')

Display the data

device.display_current_JSONDF()

Load a CSV file

device.importCsv('data.csv')

Check the detailed description of the key

device.searchKey('scbi')

Change the value of "scbi" to "testvalue"

device.setValue('scbi','testvalue')

Save to JSON file

device.save_to_json('test.json')

Generate a blank CSV file with name "group_input.csv" for group input

device.generate_group_input_csv(3)

Directly convert a group input CSV file to multiple json files

device.convert_group_input_csv_to_json_files("group_input.csv" )

Versions

All notable changes to this project will be documented in this file.

[0.0.212] - 2021-10-1

Added

• Add group input CSV file generation function.
• Add directly convert a group input CSV file to multiple json file function.
• Add Version part in Readme.md file.