Metadata-Version: 2.1
Name: FlowIO
Version: 0.9.9
Summary: Flow Cytometry Standard I/O
Home-page: https://github.com/whitews/flowio
Author: Scott White
Author-email: whitews@gmail.com
License: BSD
Description: # FlowIO
        
        [![PyPI license](https://img.shields.io/pypi/l/flowio.svg?colorB=dodgerblue)](https://pypi.python.org/pypi/flowio/)
        [![PyPI pyversions](https://img.shields.io/pypi/pyversions/flowio.svg)](https://pypi.python.org/pypi/flowio/)
        [![PyPI version](https://img.shields.io/pypi/v/flowio.svg?colorB=blue)](https://pypi.python.org/pypi/flowio/)
        
        [![Build Status](https://travis-ci.com/whitews/FlowIO.svg?branch=master)](https://travis-ci.com/whitews/FlowIO)
        [![Coverage](https://codecov.io/gh/whitews/FlowIO/branch/master/graph/badge.svg)](https://codecov.io/gh/whitews/flowio)
        
        ## Overview
        
        FlowIO is a Python library for reading and writing Flow Cytometry Standard (FCS) files. 
        Flow IO has zero external dependencies and works in both Python 2 and 3. For higher 
        level interaction with flow cytometry data, including GatingML and FlowJo 10 support, 
        see the related [FlowKit](https://github.com/whitews/FlowKit) project.
        
        ## Installation
        
        The recommended way to install FlowIO is via the `pip` command:
        
        ```
        pip install flowio
        ```
        
        Or, if you prefer, you can install from the GitHub source:
        
        ```
        git clone https://github.com/whitews/flowio
        cd flowio
        python setup.py install
        ```
        
        ## Usage
        
        FlowIO retrieves event data exactly as it is encoded in the FCS file: as a 
        1-dimensional list without separating the events into channels. However, all the metadata 
        found within the FCS file is available as a dictionary via the 'text' attribute. Basic attributes
        are also available for commonly accessed properties. For example, the channel count 
        can be used to easily convert the event data to a multi-column NumPy array:
        
        ```
        import flowio
        import numpy
        
        fcs_data = flowio.FlowData('example.fcs')
        npy_data = numpy.reshape(fcs_data.events, (-1, fcs_data.channel_count))
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 2.7
Description-Content-Type: text/markdown
