Library for CJK (chinese, japanese, korean) language data.
Project description
cihai - Python library for CJK (chinese, japanese, korean) data
This project is under active development. Follow our progress and check back for updates!
Usage
Python library only
$ pip install --user cihaifrom cihai.core import Cihai
from cihai.bootstrap import bootstrap_unihan
c = Cihai()
if not c.is_bootstrapped: # download and install Unihan to db
bootstrap_unihan(c.metadata)
c.reflect_db() # automap new table created during bootstrap
query = c.lookup_char('好')
glyph = query.first()
print("lookup for 好: %s" % glyph.kDefinition)
# lookup for 好: good, excellent, fine; well
query = c.reverse_char('good')
print('matches for "good": %s ' % ', '.join([glph.char for glph in query]))
# matches for "good": 㑘, 㑤, 㓛, 㘬, 㙉, 㚃, 㚒, 㚥, 㛦, 㜴, 㜺, 㝖, 㤛, 㦝, ...CLI front-end (cihai-cli)
$ pip install --user cihai-cli# character lookup
$ cihai info 好
char: 好
kCantonese: hou2 hou3
kDefinition: good, excellent, fine; well
kHangul: 호
kJapaneseOn: KOU
kKorean: HO
kMandarin: hǎo
kTang: '*xɑ̀u *xɑ̌u'
kTotalStrokes: '6'
kVietnamese: háo
ucn: U+597D
# reverse lookup
$ cihai reverse library
char: 圕
kCangjie: WLGA
kCantonese: syu1
kCihaiT: '308.302'
kDefinition: library
kMandarin: tú
kTotalStrokes: '13'
ucn: U+5715
--------No library, just data
All datasets that cihai uses have stand-alone tools to export their data. No library required.
unihan-etl - UNIHAN data exports for csv, yaml and json.
Quick links
Python support |
Python 2.7, >= 3.5, pypy |
Source |
|
Docs |
|
Changelog |
|
API |
|
Issues |
|
Travis |
|
Test coverage |
|
pypi |
|
OpenHub |
|
License |
MIT |
git repo |
|
install stable |
|
install dev |
|
tests |
|
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
cihai-0.8.0.tar.gz
(43.5 kB
view details)
File details
Details for the file cihai-0.8.0.tar.gz.
File metadata
- Download URL: cihai-0.8.0.tar.gz
- Upload date:
- Size: 43.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 491fae23b30781d64e938f9e994a0c135ff2362c59f7abf4616288aa8399518d |
|
| MD5 | a79a9b490a2c8562b3890f99aadb917d |
|
| BLAKE2b-256 | 128e1391ec12d1ad6b29c7661459d31bfbfc63d74178b59c2914e0d06452bb9b |
