Transfrom coordinate between China GCJ02(colloquially Mars Coordinates) and WGS-84 with high precision
Project description
GCJ02 and wgs84 transform
increase the accuracy by control points
Generate Control Points
Default gcp file’s grid interval is 1 degree. If you want generate new gcp file,please run:
python generate_gcp.py
Transform between WGS84 and GCJ02
from pygcj import GCJProj trans = GCJProj() # wgs84 to gcj gcj_lat, gcj_lon = trans.wgs_to_gcj(45.2,112.8) # gcj to wgs84 wgs_lat, wgs_lon = trans.gcj_to_wgs(45.2,112.8) # gcj to wgs84 and specific threshold wgs_lat, wgs_lon = trans.gcj_to_wgs(45.2,112.8,0.00000001)
accuracy test (use default control points)
origional: distance mean: 347.554477357 distance stdev: 164.494315519 eviltransform: distance mean: 3.39331251552 distance stdev: 2.6602095071 pygcj.gcj_to_wgs(): distance mean: 0.395794995772 distance stdev: 0.571923075943
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.
| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
| Filename, size pygcj-0.0.1-py2.py3-none-any.whl (91.9 kB) | File type Wheel | Python version py2.py3 | Upload date | Hashes View |
| Filename, size pygcj-0.0.1.tar.gz (96.0 kB) | File type Source | Python version None | Upload date | Hashes View |
Close
Hashes for pygcj-0.0.1-py2.py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 4a5c64bdb3f0a0c7220abcae61366a1845979a6dc918e218e4c0e7824b2ed23e |
|
| MD5 | 61e2b3239f4e1b9cbc09d3420ebca03b |
|
| BLAKE2-256 | 6f79ea27aa11c27d663b2afc7ca84b5cbbdff87a3451b75da057e680120ddfd1 |
