A web-based plot tool to visualize Earth core flows
Project description
webgeodyn
webgeodyn is a web-based plot tool to visualize Earth core flows and scalar fields at the Core Mantle Boundary (CMB). It consists in a Tornado web server, that can be started locally, that provides a set of visualisations tools on a variety of data formats.
Installation
Requirements
The installation of webgeodyn requires Python 3 to be installed.
The other dependencies will be automatically installed by the next step but are listed here for the sake of completeness:
- numpy
- scipy
- h5py
- tornado
Installing the package
webgeodyn can be installed
-
from pip:
pip3 install webgeodyn [--user]
Put the --user
flag if you are not installing in a virtual environment.
-
from the git repository :
Clone first the webgeodyn repository
git clone https://gricad-gitlab.univ-grenoble-alpes.fr/Geodynamo/webgeodyn
Then install the package:
cd webgeodyn
python3 setup install [--user]
Again, put the --user
if needed.
Whatever the method used, you can test if the install succeed by importing webgeodyn in Python3:
python3 -c "import webgeodyn; print(webgeodyn.__version__)"
This command should return the installed version.
Running the example
You can give a first try at starting the web server by running the example:
python3 webgeodyn/example.py
or in the Python console:
>>> import webgeodyn.example
This starts the server locally and should open your browser and display a page ressembling the one at https://geodyn.univ-grenoble-alpes.fr/. If not, try to type http://localhost:8080
in your browser.
You can try the different visualisations tools provided on the loaded example model (CHAOS-6).
Note that this example will also try to load the result from the latest pygeodyn
computation (if present in ~/pygeodyn_results/Current_computation/
).
Running the server with your data
The server can be used to visualise any data of supported format. For that, it is necessary to follow the template of example.py
:
- First, load the data under the form of
Model
objects, of a given name and format, in aModels
dictionary. - Then, the server must be started with the loaded
Models
.
This is shown in details below:
# 0.Import the necessary submodules
import webgeodyn.server
import webgeodyn.models
# 1.Initialising the Models dictionary
models = webgeodyn.models.Models()
# 2.Loading your data in the Models dictionary
# Syntax: models.loadModel('/path/to/the/model/directory', "Name of the model", "Format of the model")
models.loadModel('pygeodyn_results/Current_computation', 'Current pygeodyn computation', 'pygeodyn_hdf5')
# Several models can be loaded. Example for CHAOS
models.loadModel('webgeodyn/webgeodyn/example_data/CHAOS-6-x4', 'CHAOS-6-x4 model', 'CHAOS')
# 3.Start the server with the loaded Models
webgeodyn.server.startServer(models)
By copying this code in a Python file of your own, you should be able to use the visualisation tools on data of supported formats.
The format of the models, that define the format of the files to read, are the modules of webgeodyn.inout
. Here are a few:
pygeodyn_hdf5
: to read HDF5 files generated by pygeodynchaos
: to read CHAOS splines filescovobs
: to read COVOBS realisations files
A list of the formats can be displayed by running:
import webgeodyn.inout
print(webgeodyn.inout._formats)
If you need the support of a new format of file, you can follow the templates given in webgeodyn/inout to implement your own loading function. Otherwise, you can contact us using the information given below.
Developer documentation
Documentation of the submodules and methods of the package are available on line.
If Sphinx is installed and the files were cloned from the repository, it is possible to generate the documentation locally using:
cd doc && ./make_all_doc.sh
The documentation will then be available in HTML format for both Python and JavaScript at doc/html/index.html.
Conditions of use
The work is licensed under the GNU GPLv3.
Git repository
The source code is stored on a Git repository (https://gricad-gitlab.univ-grenoble-alpes.fr/Geodynamo/pygeodyn) which can also be used to give feedbacks through Issues.
Contact information
For scientific inquiries, contact Nicolas Gillet. For technical problems, contact Loïc Huder or Franck Thollard.
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