3D Heat Map Data Preprocess

This project is about retrieving mineral data from OpenMindat API and cleansing the data into our designed data structure for the 3D heat map to analyze co-relationships between minerals and elements.

For users interested in using Mindat API, please refer to https://github.com/ChuBL/How-to-Use-Mindat-API.

Get Started

Prerequisite

You will need an api_key.txt file in the root path of your cloned repository to run the codes. The API key will not be included in this repository. Please reach out to Mindat administrators for help.

Run the code

The whole data stream is wrapped in mindat_data_processor.py. You can walk through all the steps from data retrieving to data export by running this single .py file.

File structures

Data Description

The retrieved data are saved in ./mindat_data/raw_data, in the naming format of mindat_items_IMA_00000000000000.json.

The exported CSV files are saved in ./mindat_data/csv/ Under this directory we provided 8 generated datasets derived from OpenMindat IMA-approved mineral species.

Subset 30 Common Elements Datasets

• 30_elements.csv Elements cooccurrence 3D matrix, comprises of as a concatenated 2D matrices of 30 top frequency elements in Mindat attribute elements.

• 30_sigelements.csv Elements cooccurrence 3D matrix, comprises of as a concatenated 2D matrices of 30 top frequency elements in Mindat attribute sigelements.

• normalized_30_elements.csv Normalized elements cooccurrence 3D matrix, comprises of as a concatenated 2D matrices of 30 top frequency elements in Mindat attribute elements.

• normalized_30_sigelements.csv Normalized elements cooccurrence 3D matrix, comprises of as a concatenated 2D matrices of 30 top frequency elements in Mindat attribute sigelements.

All Elements Datasets

• 73_elements.csv Elements cooccurrence 3D matrix, comprises of as a concatenated 2D matrices of all elements in Mindat attribute elements.

• 73_sigelements.csv Elements cooccurrence 3D matrix, comprises of as a concatenated 2D matrices of all elements in Mindat attribute sigelements.

• normalized_73_elements.csv Normalized elements cooccurrence 3D matrix, comprises of as a concatenated 2D matrices of all elements in Mindat attribute elements.

• normalized_73_sigelements.csv Normalized elements cooccurrence 3D matrix, comprises of as a concatenated 2D matrices of all elements in Mindat attribute sigelements.

Auxiliary code

Data retrieving

mindat_api.py for retrieving data from Mindat api.

Csv Normalization

csv_normalizer.py for generating normalized version of the cleaned CSV file.