Metadata-Version: 2.1
Name: pyconcepticon
Version: 2.0.0
Summary: programmatic access to concepticon-data
Home-page: https://github.com/concepticon/pyconcepticon
Author: 
Author-email: forkel@shh.mpg.de
License: Apache 2.0
Description: # pyconcepticon
        
        [![Build Status](https://travis-ci.org/concepticon/pyconcepticon.svg?branch=master)](https://travis-ci.org/concepticon/pyconcepticon)
        [![codecov](https://codecov.io/gh/concepticon/pyconcepticon/branch/master/graph/badge.svg)](https://codecov.io/gh/concepticon/pyconcepticon)
        [![PyPI](https://img.shields.io/pypi/v/pyconcepticon.svg)](https://pypi.org/project/pyconcepticon)
        
        
        ## Installation
        
        `pyconcepticon` can be installed from [PyPI](https://pypi.python.org/pypi) running
        ```bash
        pip install pyconcepticon
        ```
        
        Note that `pyconcepticon` requires a clone or export of the [concepticon data repository](https://github.com/clld/concepticon-data).
        
        ## Usage
        
        To use `pyconcepticon` you must have a local copy of the Concepticon data, i.e. either
        
        * the sources of a [released version](https://github.com/clld/concepticon-data/releases), as provided in the **Downloads** 
          section of a release, or
        * a clone of this repository (or your personal fork of it).
        * or a released version of the data as archived on [ZENODO](https://doi.org/10.5281/zenodo.596412).
        
        
        ### Python API
        
        Assuming you have downloaded release 1.2.0 [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.1313461.svg)](https://doi.org/10.5281/zenodo.1313461)
        and unpacked the sources to a directory `clld-concepticon-data-41d2bf0`, you can access
        the data as follows:
        ```python
        >>> from pyconcepticon import Concepticon
        >>> api = Concepticon('clld-concepticon-data-41d2bf0')
        >>> conceptlist = list(api.conceptlists.values())[0]
        >>> conceptlist.author
        'Perrin, Loïc-Michel'
        >>> conceptlist.tags
        ['annotated']
        >>> len(conceptlist.concepts)
        110
        >>> list(conceptlist.concepts.values())[0]
        Concept(
            id='Perrin-2010-110-1', number='1', concepticon_id='1906', concepticon_gloss='SOUR', gloss=None, 
            english='ACID', attributes={'german': 'sauer', 'french': 'acide'}, 
            _list=Conceptlist(
                _api=<pyconcepticon.api.Concepticon object at 0x7f31693be518>, 
                id='Perrin-2010-110', author='Perrin, Loïc-Michel', year=2010, list_suffix='', items=110, 
                tags=['annotated'], source_language=['english', 'french', 'german'], 
                target_language='Global', 
                url='https://journals.dartmouth.edu/cgi-bin/WebObjects/Journals.woa/xmlpage/1/article/353?htmlOnce=yes', 
                refs=['Perrin2010'], pdf=['Perrin2010'], 
                note='This list was used as an initial questionnaire for colexification studies on a world-wide sample of languages.', 
                pages='276f', alias=[], local=False))
        ```
        
        ### Command line interface
        
        Having installed `pyconcepticon`, you can also directly query concept lists via the terminal command 
        `concepticon`. For example, to learn about the intersection between two or more lists, you can type:
        
        ```shell
        $ concepticon --repos=clld-concepticon-data-41d2bf0 intersection Swadesh-1955-100 Swadesh-1952-200
        ```
        
        This yields an output of 93 lines, which look as follows:
        
        ```shell
         69  SKIN                    [763 ] SKIN (HUMAN) (1, Swadesh-1952-200)
         70  SLEEP                   [1585]
         71  SMALL                   [1246]
         72  SMOKE (EXHAUST)         [778 ]
        ```
        
        The output can interpreted as follows: The first number shows the number in the intersection of items 
        (alphabetically ordered, following the Concepticon gloss). The Concepticon gloss is shown as a next item. 
        If it is preceded by an asterisk, this means that the mapping was not complete, as it involves concept relations. 
        The alternative concept sets are then listed in the end of the line. 
        The number in squared brackets indicates the Concepticon concept set ID.
        
        You can use the same technique with the command "union", to obtain the union of two concept lists.
        
        To create a user interface which allows you to explore concepticon concepts in the browser, run
        ```bash
        $ concepticon --repos=clld-concepticon-data-41d2bf0 app
        ```
        
Keywords: data linguistics
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
Provides-Extra: dev
Provides-Extra: test
