To help you get started, we've collected the most common ways that lingpy is being used within popular public projects.

lingpy / lingpy / lingpy / compare / lexstat.py View on Github

desc='THRESHOLD DETERMINATION',
                        total=len(self.pairs)-len(self.cols)) as progress:
                    for l1, l2 in self.pairs:
                        progress.update(1)
                        if l1 != l2:
                            pairs = self.pairs[l1, l2]
                            for p1, p2 in pairs:
                                dx = [align(p1, pairs[random.randint(
                                    0, len(pairs) - 1)][1])
                                      for i in range(len(pairs) // 20 or 5)]
                                thresholds.extend(dx)
            if thresholds:
                threshold = sum(thresholds) / len(thresholds) * 0.5
                self._meta['guessed_threshold'] = threshold

        with util.pb(
                desc='SEQUENCE CLUSTERING',
                total=len(self.rows)) as progress:
            for concept, indices, matrix in matrices:
                progress.update(1)

                # check for keyword to guess the threshold
                if kw['guess_threshold'] and kw['gt_mode'] == 'item':
                    t = clustering.best_threshold(matrix, kw['gt_trange'])
                # FIXME: considering new function here JML
                # elif kw['guess_threshold'] and kw['gt_mode'] == 'nullditem':
                #    pass
                else:
                    t = threshold

                c = fclust(matrix, t)

View more ways to use lingpy

LingPy: A Python Library for Automatic Tasks in Historical Linguistics

This repository contains the Python package lingpy which can be used for various tasks in computational historical linguistics.

Authors (Version 2.6.12): Johann-Mattis List and Robert Forkel

Collaborators: Christoph Rzymski, Simon J. Greenhill, Steven Moran, Peter Bouda, Johannes Dellert, Taraka Rama, Tiago Tresoldi, Gereon Kaiping, Frank Nagel, and Patrick Elmer.

LingPy is a Python library for historical linguistics. It is being developed for Python 2.7 and Python 3.x using a single codebase.

• All source code is available at: https://github.com/lingpy/lingpy.
• Documentation can be found at: http://lingpy.org.
• For a list of papers in which LingPy was applied, see here.

Quick Installation

For our latest stable version, you can simply use pip or easy_install for installation:

$ pip install lingpy

or

$ pip install lingpy

Depending on which easy_install or pip version you use, either the Python2 or the Python3 version of LingPy will be installed.

If you want to install the current GitHub version of LingPy on your system, open a terminal and type in the following:

$ git clone https://github.com/lingpy/lingpy/
$ cd lingpy
$ python setup.py install

If the last command above returns you some error regarding user permissions (usually "Errno 13"), you can install LingPy in your home Python setup:

$ python setup.py install --user

In order to use the library, start an interactive Python session and import LingPy as follows:

>>> from lingpy import *

To install LingPy to hack on it, fork the repository on GitHub, open a terminal and type:

$ git clone https://github.com//lingpy/
$ cd lingpy
$ python setup.py develop

This will install LingPy in "development mode", i.e. you will be able edit the sources in the cloned repository and import the altered code just as the regular Python package.