Skip to main content

PERDIDO Geoparser python library

Project description

Perdido Geoparser Python library

PyPI PyPI - License PyPI - Python Version

http://erig.univ-pau.fr/PERDIDO/

Installation

To install the latest stable version, you can use:

pip install --upgrade perdido

Quick start

Geoparsing

Binder Open In Colab

Import

from perdido.geoparser import Geoparser

Run geoparser

geoparser = Geoparser(lang='fr')
doc = geoparser('Je visite la ville de Lyon, Annecy et Chamonix.')

Get tokens

for token in doc:
    print(f'{token.text}\tlemma: {token.lemma}\tpos: {token.pos}')

Print the XML-TEI output

print(doc.tei)

Print the GeoJSON output

print(doc.geojson)

Get the list of named entities

for entity in doc.named_entities:
    print(f'entity: {entity.text}\ttag: {entity.tag}')
    if entity.tag == 'place':
        for t in entity.toponyms:
            print(f' latitude: {t.lat}\tlongitude: {t.lng}\tsource {t.source}')

Get the list of nested named entities

for nestedEntity in doc.nested_named_entities:
    print(f'entity: {nestedEntity.text}\ttag: {nestedEntity.tag}')
    if nestedEntity.tag == 'place':
        for t in nestedEntity.toponyms:
            print(f' latitude: {t.lat}\tlongitude: {t.lng}\tsource {t.source}')

Shows named entities and nested named entities using the displacy library from spaCy

displacy.render(doc.to_spacy_doc(), style="ent", jupyter=True)
displacy.render(doc.to_spacy_doc(), style="span", jupyter=True)

Geocoding

Binder Open In Colab

Import

from perdido.geocoder import Geocoder

Geocode a single place name

geocoder = Geocoder()
doc = geocoder('Lyon')

Geocode a list of place names

geocoder = Geocoder()
doc = geocoder(['Lyon', 'Annecy', 'Chamonix'])

Get the geojson result

print(doc.geojson)

Get the list of toponym candidates

for t in doc.toponyms: 
    print(f'lat: {t.lat}\tlng: {t.lng}\tsource {t.source}\tsourceName {t.source_name}')

Perdido Geoparser REST APIs

http://choucas.univ-pau.fr/docs#

Example: call REST API in Python

import requests

url = 'http://choucas.univ-pau.fr/PERDIDO/api/'
service = 'geoparsing'
data = {'content': 'Je visite la ville de Lyon, Annecy et le Mont-Blanc.'}
parameters = {'api_key': 'demo'}

r = requests.post(url+service, params=parameters, json=data)

print(r.text)

Acknowledgements

Perdido is an active project still under developpement.

This work was partially supported by the following projects:

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

perdido-0.1.14.tar.gz (89.7 kB view details)

Uploaded Source

Built Distribution

perdido-0.1.14-py3-none-any.whl (91.5 kB view details)

Uploaded Python 3

File details

Details for the file perdido-0.1.14.tar.gz.

File metadata

  • Download URL: perdido-0.1.14.tar.gz
  • Upload date:
  • Size: 89.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for perdido-0.1.14.tar.gz
Algorithm Hash digest
SHA256 857632abd0e3c6f7156741a3e05fe57c3ffd2689751126922e25367db3df5da6
MD5 5f959c37489806937bcffe6ab96d0861
BLAKE2b-256 fb2c9aa1760160607c1c52f783dd3540cb4d4ae13c6ad5a3e152ea1a9d087f95

See more details on using hashes here.

File details

Details for the file perdido-0.1.14-py3-none-any.whl.

File metadata

  • Download URL: perdido-0.1.14-py3-none-any.whl
  • Upload date:
  • Size: 91.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for perdido-0.1.14-py3-none-any.whl
Algorithm Hash digest
SHA256 54a50496f888d16fc2e109f19c0ea1734a5527e1e7d152a4514e44ba71250009
MD5 ad39ca366ee0a814dc0667c8c9443097
BLAKE2b-256 58f0fce33a49c8ff3ce39b3e0bdfc4b3b3014e8466ff4e94bf60a89b6f4a88df

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page