Skip to main content

xarray extension that supports EMS model formats

Project description

emsarray

Binder Documentation Status Conda Version

The emsarray package provides a common interface for working with the many model formats used at CSIRO. It enhances xarray Datasets and provides a set of common operations for manipulating datasets.

To use, open the dataset using the emsarray.open_dataset() function and use the dataset.ems attribute:

import emsarray
import json

dataset = emsarray.tutorial.open_dataset('gbr4')
with open("geometry.geojson", "w") as f:
	json.dump(dataset.ems.make_geojson_geometry(), f)

Some methods take a DataArray as a parameter:

# Plot the sea surface temperature for time = 0
temp = dataset['temp'].isel(time=0, k=-1)
dataset.ems.plot(temp)

Plot of sea surface temperature from the GBR4 example file

Examples

Examples of using emsarray are available in the emsarray-notebooks repository. You can explore these notebooks online with Binder.

Developing

To get set up for development, make a virtual environment and install the dependencies:

$ python3 -m venv
$ source venv/bin/activate
$ pip install --upgrade pip>=21.3
$ pip install -e . -r continuous-integration/requirements.txt

Tests

To run the tests, install and run tox:

$ python3 -m venv
$ source venv/bin/activate
$ pip install --upgrade pip>=21.3 tox
$ tox

Documentation

To build the documentation, install the development requirements as above and invoke Sphinx:

$ make -C docs/ html

While updating or adding to the documentation, run the live target to automatically rebuild the docs whenever anything changes. This will serve the documentation via a livereload server.

$ make -C docs/ live

You can the view the docs at http://localhost:5500

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

emsarray-0.2.0.tar.gz (62.8 kB view hashes)

Uploaded Source

Built Distribution

emsarray-0.2.0-py3-none-any.whl (71.2 kB view hashes)

Uploaded Python 3

Supported by

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