Metadata-Version: 1.1
Name: maidenhair
Version: 0.3.4
Summary: Convert raw text data files into a single excel file.
Home-page: https://github.com/lambdalisue/maidenhair
Author: Alisue
Author-email: lambdalisue@hashnote.net
License: MIT
Download-URL: https://github.com/lambdalisue/maidenhair/tarball/master
Description: maidenhair
        =============
        .. image:: https://secure.travis-ci.org/lambdalisue/maidenhair.png?branch=master
            :target: http://travis-ci.org/lambdalisue/maidenhair
            :alt: Build status
        
        .. image:: https://coveralls.io/repos/lambdalisue/maidenhair/badge.png?branch=master
            :target: https://coveralls.io/r/lambdalisue/maidenhair/
            :alt: Coverage
        
        .. image:: https://pypip.in/d/maidenhair/badge.png
            :target: https://pypi.python.org/pypi/maidenhair/
            :alt: Downloads
        
        .. image:: https://pypip.in/v/maidenhair/badge.png
            :target: https://pypi.python.org/pypi/maidenhair/
            :alt: Latest version
        
        .. image:: https://pypip.in/wheel/maidenhair/badge.png
            :target: https://pypi.python.org/pypi/maidenhair/
            :alt: Wheel Status
        
        .. image:: https://pypip.in/egg/maidenhair/badge.png
            :target: https://pypi.python.org/pypi/maidenhair/
            :alt: Egg Status
        
        .. image:: https://pypip.in/license/maidenhair/badge.png
            :target: https://pypi.python.org/pypi/maidenhair/
            :alt: License
        
        A plugin based data load and manimupulation library.
        
        Installation
        ------------
        Use pip_ like::
        
            $ pip install maidenhair
        
        .. _pip:  https://pypi.python.org/pypi/pip
        
        
        Usage
        ---------
        Assume that there are three kinds of samples and each samples have 5 indipendent
        experimental results.
        All filenames are written as the following format::
        
            sample-type<type number>.<experiment number>.txt
        
        And files are saved in `data` directory like::
        
            +- data
                |
                +- sample-type1.001.txt
                +- sample-type1.002.txt
                +- sample-type1.003.txt
                +- sample-type1.004.txt
                +- sample-type1.005.txt
                +- sample-type2.001.txt
                +- sample-type2.002.txt
                +- sample-type2.003.txt
                +- sample-type2.004.txt
                +- sample-type2.005.txt
                +- sample-type3.001.txt
                +- sample-type3.002.txt
                +- sample-type3.003.txt
                +- sample-type3.004.txt
                +- sample-type3.005.txt
        
        Then, the code for plotting the data will be::
        
            >>> import matplotlib.pyplot as plt
            >>> import maidenhair
            >>> import maidenhair.statistics
            >>> dataset = []
            >>> dataset += maidenhair.load('data/sample-type1.*.txt', unite=True)
            >>> dataset += maidenhair.load('data/sample-type2.*.txt', unite=True)
            >>> dataset += maidenhair.load('data/sample-type3.*.txt', unite=True)
            >>> nameset = ['Type1', 'Type2', 'Type3']
            >>> for name, (x, y) in zip(nameset, dataset):
            ...     xa = maidenhair.statistics.average(x)
            ...     ya = maidenhair.statistics.average(y)
            ...     ye = maidenhair.statistics.confidential_interval(y)
            ...     plt.errorbar(xa, ya, yerr=ye, label=name)
            ...
            >>> plt.show()
        
        
Keywords: data python loader parser statistics
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
