Metadata-Version: 2.1
Name: corepytools
Version: 0.0.11
Summary: CorePy: XRF clustering tools to interpret and visualize geological core data
Home-page: https://github.com/Totilarson/CorePy
Author: Toti Larson
Author-email: totlarson@gmail.com
License: LICENSE.txt
Description: # CorePytools package
        
        CorePytools (CorePy) is a machine learning python package applied to data collected from geological samples of core. The primary focus of CorePy is to classify high resolution 
        X-ray fluoresence data into chemofacies using unsupervised and supervised clustering tools. CorePy establishes a folder structure for input and output data. Visualizations are used to validate clustering results.
        
        Corebox photographs can be cropped and used to visualized chemofacies results. Wireline log data can be upsampled and data integrated to chemofacies for upscaling  
        
        New line added
        
        # Installation
        pip install corepytools
        
        # Examples and data
        The authors Github account has examples and datapackages that apply corepytools.
        Corepytools builds a folder structure and looks for XRF data in the folder: **..\CorePy\CoreData\CoreXRF**
        The .csv file **Public_XRF.csv** is provided in the authors github account to show 
        the database format (required headings) that are called on with CorePy
        
        ## About the authors
        
        CorePy is being developed by Toti Larson at the University of Texas at Austin, Bureau of Economic Geology, Mudrocks Systems Research Laboratory (MSRL) research consortium.
        
        1. **Toti E. Larson, Ph.D.** - Research Associate at the University of Texas at Austin. PI MSRL research consortium
        
        2. **Esben Pedersen, M.S.** - Graduate student (graduated 2020) at the University of Texas at Austin. 
        
        3. **Priyanka Periwal, Ph.D.** - Research Science Associate at the University of Texas at Austin. 
        
        4. **J. Evan Sivil** - Research Science Associate at the University of Texas at Austin. 
        
        5. **Geoforce students** - Ana LetÃ­cia Batista (2020) - Jackson State University 
        
        ## Package Inventory
         
        corepytools.py
        
        
        ## Package Dependencies
        
        1) os
        2) numpy
        3) pandas
        4) seaborn
        5) pickle
        6) glob
        7) matplotlib.pyplot
        8) seaborn as sns
        9) sklearn.preprocessing import StandardScaler
        10) sklearn.decomposition import PCA
        11) sklearn.cluster import KMeans
        12) matplotlib.patheffects
        
        # Notes
        
        Install corepytools using **pip install corepytools**
        Follow over to the authors Github account to download example Python scripts that use corepytools
        
        
        # Folder structure
        corepytools
        
            |-LICENSE.txt         **MIT**
        
            |-README.md           **edited in markdown**
        
            |-setup.py            **name=corepy-tools, package=src, python module=corepytools**
        
            |-src
        
                |-corepytools    **contains functions**
            
                |-__init__.py     ** empty**
        
        
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
