Metadata-Version: 1.2
Name: mistree
Version: 1.1
Summary: A python package for constructing and analysing the minimum spanning tree
Home-page: https://knaidoo29.github.io/mistreedoc/
Author: Krishna Naidoo
Author-email: krishna.naidoo.11@ucl.ac.uk
License: MIT
Description: # MiSTree
        
        [![DOI](https://zenodo.org/badge/170473458.svg)](https://zenodo.org/badge/latestdoi/170473458)[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
        
        This is the public repository for MiSTree, a python package for constructing and
        analysing minimum spanning trees.
        
        ## Dependencies
        
        MiSTree was tested and built using Python 2.7 and has been subsequently tested on
        Python 3.5 and 3.7.
        
        You will need the following python modules:
        
        * `numpy`
        * `matplotlib`
        * `scipy`
        * `scikit-learn`
        * `f2py` (should be installed with numpy)
        
        If `f2py` cannot find a `gcc` compiler then the fortran modules will not compile.
        If you have this issue and are using an anaconda distribution of python then you
        should be able to install `gcc` directly using the commands:
        
        `conda install -c anaconda gcc`
        
        ## Basic setup
        
        To use MiSTree you must first download or clone this repository and then run:
        
        `python setup.py`
        
        This will compile a set of fortran files. Assuming they have compiled correctly
        (it will tell you) you can then add the directory to your python paths.
        
        If you're using a mac, you would need to add this to your `.bash_profile` file
        (a hidden file located in your home folder):
        
        `export PYTHONPATH=$PYTHONPATH:<path/to/mistree>`
        
        Then run `source .bash_profile`.
        
        You should now be able to import the module:
        
        `import mistree as mist`
        
        ## Further details
        
        In depth documentation and tutorials are provided [here](https://knaidoo29.github.io/mistreedoc/).
        
        ## Contact
        
        If you have any issues with the code or want to suggest ways to improve it please email:
        
        _krishna.naidoo.11@ucl.ac.uk_
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Fortran
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Astronomy
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Mathematics
Requires-Python: >=2.7
