GPlates Web Service Python Client/Proxy
This Python package allows users to access GPlates Web Service more easily via simple Python programming interface.
Installation
pip install gwspy
How to use
The following Python code reconstructs three locations to 100Ma with Muller2019 reconstruction model.
# pip install gwspy shapely
import shapely
from gwspy import PlateModel, reconstruct_shapely_points
lats = [50, 10, 50]
lons = [-100, 160, 100]
points = [shapely.Point(x, y) for x, y in zip(lons, lats)]
model = PlateModel("Muller2019")
paleo_points = reconstruct_shapely_points(model, points, 100)
print(paleo_points)
GPlates Web Service server
By default, https://gws.gplates.org is used. You can use .env file to specify your service URL. Alternertively, you can export GWS_URL=https://your-service-url in a terminal.
See env.template and setup GWS server with Docker.
Dependencies
API reference
API reference can be found at https://michaelchin.github.io/gplates-python-proxy/.
Examples
👉 reconstruct_shapely_points.py
The red dots are present-day locations. The blue dots are paleo-locations at 100Ma.
👉 plot_topological_plate_polygons.py
Metadata
Release files for gwspy 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gwspy-0.1.2.tar.gz | 455.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gwspy-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 916.8 kB
Release files / gwspy-0.1.2.tar.gz
| Download URL | gwspy-0.1.2.tar.gz |
|---|---|
| Size | 455.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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No |
| Uploaded via |
twine/5.1.1 CPython/3.10.12
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Release files / gwspy-0.1.2-py3-none-any.whl
| Download URL | gwspy-0.1.2-py3-none-any.whl |
|---|---|
| Size | 461.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.10.12
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