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cldfviz-0.9.0


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توضیحات

A cldfbench plugin to create vizualisations of CLDF datasets
ویژگی مقدار
سیستم عامل -
نام فایل cldfviz-0.9.0
نام cldfviz
نسخه کتابخانه 0.9.0
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Robert Forkel
ایمیل نویسنده dlce.rdm@eva.mpg.de
آدرس صفحه اصلی https://github.com/cldf/cldfviz
آدرس اینترنتی https://pypi.org/project/cldfviz/
مجوز Apache 2.0
# cldfviz [![Build Status](https://github.com/cldf/cldfviz/workflows/tests/badge.svg)](https://github.com/cldf/cldfviz/actions?query=workflow%3Atests) [![PyPI](https://img.shields.io/pypi/v/cldfviz.svg)](https://pypi.org/project/cldfviz) Python library providing tools to visualize [CLDF](https://cldf.clld.org) datasets. ## Install Run ```shell pip install cldfviz ``` If you want to create maps in image formats (PNG, JPG, PDF), the `cartopy` package is needed, which will be installed with ```shell pip install cldfviz[cartopy] ``` Note: Since `cartopy` has quite a few system-level requirements, installation may be somewhat tricky. Should problems arise, https://scitools.org.uk/cartopy/docs/v0.15/installing.html may help. If you want to create "treemaps" (i.e. use the [lingreemaps](https://lingtreemaps.readthedocs.io/en/latest/?badge=latest) package for CLDF data), you need to install via ```shell pip install cldfviz[lingtreemaps] ``` ## CLI `cldfviz` is implemented as [`cldfbench`](https://github.com/cldf/cldfbench) plugin, i.e. it provides subcommands for the `cldfbench` command. After installation you should see subcommands with a `cldfviz.` prefix listed when running ```shell cldfbench -h ``` Help provided by the CLI is sometimes extensive and can be consulted via ```shell cldfbench <sucommand> -h ``` e.g. ```shell $ cldfbench cldfviz.map -h usage: cldfbench cldfviz.map [-h] [--download-dir DOWNLOAD_DIR] [--language-filters LANGUAGE_FILTERS] [--glottolog GLOTTOLOG] [--glottolog-version GLOTTOLOG_VERSION] ... ``` ## Commands A short description of the `cldfviz` subcommands can be found below; for more documentation click on the images. ### Example data Examples in this documentation sometimes use CLDF data stored in the local filesystem. In particular, we'll use - [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.7385533.svg)](https://doi.org/10.5281/zenodo.7385533): WALS Online - [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.7398887.svg)](https://doi.org/10.5281/zenodo.7398887): Glottolog as CLDF dataset - [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.7139937.svg)](https://doi.org/10.5281/zenodo.7139937): APiCS Online If you download these datasets using the `cldfbench` plugin [cldfzenodo](https://github.com/cldf/cldfzenodo/#cli) ```shell cldfbench zenodo.download 10.5281/zenodo.7385533 --full-deposit cldfbench zenodo.download 10.5281/zenodo.7398887 --full-deposit cldfbench zenodo.download 10.5281/zenodo.7139937 --full-deposit ``` you should have the respective data in local directories `wals-2020.3/`, `glottolog-cldf-4.7/` and `cldf-datasets-apics-4ed59b5/`. ### `cldfviz.map` A common way to visualize data from a CLDF StructureDataset is as "dots on a map", i.e. as [WALS](https://wals.info)-like geographic maps, displaying typological variation. The `cldfviz.map` subcommand allows you to create such maps. For details see [docs/map.md](docs/map.md). > [<img alt="details" width="350" src="docs/output/wals_10B.png" />](docs/map.md) ### `cldfviz.text` A rather traditional visualization of linguistic data is the practice of interspersing bits of data in descriptive texts, most obviously perhaps as examples formatted as **I**nterlinear **G**lossed **T**ext. The `cldfviz.text` subcommand allows you "render" documents written in [CLDF markdown](https://github.com/cldf/cldf/blob/master/extensions/markdown.md), i.e. converting such documents to plain markdown by inserting suitable representations of the referenced data. For details see [docs/text.md](docs/text.md). > [<img alt="details" width="350" src="docs/output/wals_exponence.png" />](docs/text.md) ### `cldfviz.examples` While it is possible to (selectively) include IGT formatted examples in [CLDF Markdown](https://github.com/cldf/cldf/blob/master/extensions/markdown.md) via `cldfviz.text`, often it is useful to just look at an HTML formatted list of all examples from a dataset. This can be done via `cldfviz.examples`. For details see [docs/examples.md](docs/examples.md). > [<img alt="details" width="350" src="docs/output/lgr_html.png" />](docs/examples.md) ### `cldfviz.tree` Phylogenetic (or classification) trees of languages are a "proper" [CLDF component](https://github.com/cldf/cldf/tree/master/components/trees) since CLDF 1.2 - and an obvious candidate for visualization (because noone likes to look at [Newick](https://en.wikipedia.org/wiki/Newick_format)). To provide a configurable visualization of trees in [SVG format](https://en.wikipedia.org/wiki/SVG), the `cldfviz.tree` command renders CLDF trees using the powerful [toytree](https://toytree.readthedocs.io/en/latest/) package. For details see [docs/tree.md](docs/tree.md). > [<img alt="details" width="350" src="docs/output/wals-omotic.svg" />](docs/tree.md) ### `cldfviz.treemap` Displaying maps and trees is nice, but visualizing how phylogeny relates to geography can also be done in a more integrated way as demonstrated by the [lingtreemaps](https://lingtreemaps.readthedocs.io/en/latest/examples.html) package. [cldfviz.treemap](docs/treemap.md) provides a front-end for this package, making it possible to use its functionality with data and trees in CLDF datasets. > [<img alt="details" width="350" src="docs/output/treemap_wals88A.svg" />](docs/treemap.md) ### `cldfviz.audiowordlist` Another case where it is often desirable to aggregate objects from different CLDF components for inspection are Wordlists with associated audio files. Displaying forms for a specified concept together with the audio as HTML page can be done running [cldfviz.audiowordlist](docs/audiowordlist.md). > [<img alt="details" width="350" src="docs/output/awl_hindukush.png" />](docs/audiowordlist.md) ### `cldfviz.erd` CLDF datasets typically contain multiple, related tables. The most common visualization of such a data model are "entity-relationship diagrams", i.e. diagramy of the [entitty-relationship model](https://en.wikipedia.org/wiki/Entity%E2%80%93relationship_model) of the dataset. Such a diagram can be created via `cldfviz.erd` (if a Java runtime is installed). For details see [docs/erd.md](docs/erd.md). > [<img alt="details" width="350" src="docs/output/wacl.svg" />](docs/erd.md) ## Related Other tools to convert CLDF data to "human-readable" formats: - [cldfofflinebrowser](https://github.com/cldf/cldfofflinebrowser) - [clld](https://github.com/clld/clld)


نیازمندی

مقدار نام
- attrs
>=1.11.0 cldfbench
>=3.17 clldutils
- jinja2
- matplotlib
>=1.6 newick
- numpy
>=1.32.0 pycldf
- pyglottolog
- termcolor
>=2.0.1 toytree
- tqdm
- cartopy
- scipy
- shapely
- build
- flake8
- twine
- wheel
- biopython
- lingtreemaps
- pandas
- pyyaml
- shapely
>=4.2 coverage
- pytest-cov
- pytest-mock
>=5 pytest
- requests-mock


زبان مورد نیاز

مقدار نام
>=3.7 Python


نحوه نصب


نصب پکیج whl cldfviz-0.9.0:

    pip install cldfviz-0.9.0.whl


نصب پکیج tar.gz cldfviz-0.9.0:

    pip install cldfviz-0.9.0.tar.gz