Metadata-Version: 2.1
Name: pycatflow
Version: 0.0.1
Summary: A tool for visualizing temporal developments of categorical data.
Home-page: https://github.com/bumatic/PyCatFlow
Author: Marcus Burkhardt
Author-email: marcus.burkhardt@gmail.com
License: MIT
Description: # PyCatFlow
        
        This package is a visualization tool which allows the representation of temporal developments, based on categorical data.
        
        ## Install 
        
        PyCatFlow is available on PyPi:
        
        ```Shell
        $ pip3 install pycatflow
        ```
        Alternatively you can download the repository and install the package by running 
        the setup.py install routine. Make sure to install the requirements as well:
        
        ```python
        pip3 install -r requirements.txt
        python3 setup.py install
        ```
        
        **Additional Requirements:** 
        The visualization and export is based on the [drawSvg](https://pypi.org/project/drawSvg/) package that 
        in turn requires cairo to be installed as an external requirement. Platform-specific instructions for installing cairo are available on the 
        [cairo homepage](https://www.cairographics.org/download/).
        
        On macOS cairo can be installed easily using [homebrew](https://brew.sh/):
        
        ```Bash
        $ brew install cairo
        ```
        
        ## Basic usage
        
        The visualization library provides many functionalities for adjusting the visual output. It's simplest use is however as follows:
        
        ```Python
        import pycatflow as pcf
        
        # Loading and parsing data:
        data = pcf.read_file("sample_data.tsv", columns="versions", nodes="permissions", categories="app_review",
                             column_order="col_order")
        
        # Generating the visualization
        viz = pcf.visualize(data, 35, 10, width=1200, height=250, label_size=4, label_shortening="resize")
        viz.savePng('sample_viz.png')
        viz.saveSvg('sample_viz.svg')
        viz
        ```
        
        The code and sample data are provided in the example folder. Running it creates this visualization:
        
        ![Sample Visualization](example/sample_viz.svg)
        
        
        ## Credits
        
        PyCatFlow was conceptualized by Marcus Burkhardt and implemented by Herbert Natta (@herbertmn). It is inspired by the Rankflow visualization tool develped by Bernhard Rieder.
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
