Metadata-Version: 2.1
Name: corregraphe
Version: 0.1.1
Summary: Correlation graphs with NetworkX
Home-page: https://github.com/theodcr/corregraphe
Author: "Théo Delecour"
Author-email: "theo.delecour@gmail.com"
License: MIT
Description: # corregraphe
        
        Correlation graphs are a great way to visualize and understand the relationship between features of tabular datasets.
        
        This package leverages NetworkX, Scipy and HoloViews to easily draw correlation graphs on any Pandas DataFrame.
        
        Works on numerical columns only for now.
        
        ## Installation
        
        This project uses Python >= 3.6.
        
        ```
        pip install corregraphe
        ```
        
        ## Usage
        
        Example on the Titanic dataset:
        
        ```python
        import pandas as pd
        from corregraphe import CorrelationGraph
        df = pd.read_csv("https://raw.githubusercontent.com/mwaskom/seaborn-data/master/titanic.csv")
        cg = CorrelationGraph(df)
        cg.draw()
        ```
        
        Drawing gives this Bokeh figure:
        
        <img src="example.png" width="400">
        
        ## Developer's guide
        
        - checked with `mypy` and `flake8`
        - formatted with `black` and `isort`
        - basic functionality is tested with `doctest` by running `python corregraphe/core.py`
        
        ## License
        
        This project is licensed under the MIT License.
        
        MIT License
        
        Copyright (c) 2019 Théo Delecour
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >= 3.6
Description-Content-Type: text/markdown
Provides-Extra: dev
