Magics is the latest generation of the ECMWF's meteorological plotting software and can be either
accessed directly through its Python or Fortran interfaces or by using Metview.
Features:
- supports plotting of contours, wind fields, observations, satellite images, symbols, text, axis and graphs (including boxplots)
- can plot GRIB 1 and 2 coded data, gaussian grid, regularly spaced grid and fitted data
Limitations:
- development stage: **Alpha**,
Installation
------------
The package is installed from PyPI with::
$ pip install Magics
System dependencies
~~~~~~~~~~~~~~~~~~~
The python module depends on the ECMWF *Magics* and *eccodes* libraries
They can be installed from PyPI with::
$ pip install ecmwflibs
You may run a simple selfcheck command to ensure that your system is set up correctly::
$ python -m Magics selfcheck
Found: Magics 'Magics 4.10.0'.
Library: /usr/local/lib/python3.9/site-packages/ecmwflibs/.dylibs/libMagPlus.dylib
Magics home: /usr/local/lib/python3.9/site-packages/ecmwflibs
Your system is ready.
Usage
-----
First, you need a well-formed GRIB file, if you don't have one at hand you can download our
a 2m temperature grib file::
$ wget http://download.ecmwf.int/test-data/magics/2m_temperature.grib
You may try out the high level API in a python interpreter::
from Magics import macro as magics
name = 'magics'
#Setting of the output file name
output = magics.output(output_formats = ['png'],
output_name_first_page_number = "off",
output_name = "magics")
#Import the data
data = magics.mgrib(grib_input_file_name = "2m_temperature.grib", )
#Apply an automatic styling
contour = magics.mcont( contour_automatic_setting = "ecmwf", )
coast = magics.mcoast()
magics.plot(output, data, contour, coast)
Running the test program will create a png named magics.png
You can find notebooks examples :
https://github.com/ecmwf/notebook-examples/tree/master/visualisation
Contributing
------------
The main repository is hosted on GitHub,
testing, bug reports and contributions are highly welcomed and appreciated:
https://github.com/ecmwf/magics-python
Please see the CONTRIBUTING.rst document for the best way to help.
Lead developer:
- `Sylvie Lamy-Thepaut <https://github.com/sylvielamythepaut>`_ - ECMWF
Main contributors:
- `Stephan Siemen <https://github.com/stephansiemen>`_ - ECMWF
- `Alessandro Amici <https://github.com/alexamici>`_ - B-Open
- `Daniel Tipping <https://github.com/dtip>`_ - `Old Reliable <https://oldreliable.tech>`_
- `Ian Vermes <https://github.com/IanVermes>`_ - `Old Reliable <https://oldreliable.tech>`_
License
-------
Copyright 2017-2018 European Centre for Medium-Range Weather Forecasts (ECMWF).
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at: http://www.apache.org/licenses/LICENSE-2.0.
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
.. |Travis Build| image:: https://img.shields.io/travis/ecmwf/magics-python/master.svg?logo=travis
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.. |ReadTheDocs Build| image:: https://readthedocs.org/projects/magics-python/badge/?version=latest
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:alt: Documentation Status
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"description": "\nMagics is the latest generation of the ECMWF's meteorological plotting software and can be either\naccessed directly through its Python or Fortran interfaces or by using Metview.\n\n\nFeatures:\n\n- supports plotting of contours, wind fields, observations, satellite images, symbols, text, axis and graphs (including boxplots)\n- can plot GRIB 1 and 2 coded data, gaussian grid, regularly spaced grid and fitted data\n\nLimitations:\n\n- development stage: **Alpha**,\n\n\nInstallation\n------------\n\nThe package is installed from PyPI with::\n\n $ pip install Magics\n\n\nSystem dependencies\n~~~~~~~~~~~~~~~~~~~\n\nThe python module depends on the ECMWF *Magics* and *eccodes* libraries\n\nThey can be installed from PyPI with::\n $ pip install ecmwflibs\n\n\n\nYou may run a simple selfcheck command to ensure that your system is set up correctly::\n\n $ python -m Magics selfcheck\n Found: Magics 'Magics 4.10.0'.\n Library: /usr/local/lib/python3.9/site-packages/ecmwflibs/.dylibs/libMagPlus.dylib\n Magics home: /usr/local/lib/python3.9/site-packages/ecmwflibs\n Your system is ready.\n\n\nUsage\n-----\n\nFirst, you need a well-formed GRIB file, if you don't have one at hand you can download our\na 2m temperature grib file::\n\n $ wget http://download.ecmwf.int/test-data/magics/2m_temperature.grib\n\n\nYou may try out the high level API in a python interpreter::\n\n\n\n from Magics import macro as magics\n\n name = 'magics'\n #Setting of the output file name\n output = magics.output(output_formats = ['png'],\n \t\toutput_name_first_page_number = \"off\",\n \t\toutput_name = \"magics\")\n\n #Import the data\n data = magics.mgrib(grib_input_file_name = \"2m_temperature.grib\", )\n\n #Apply an automatic styling\n contour = magics.mcont( contour_automatic_setting = \"ecmwf\", )\n coast = magics.mcoast()\n magics.plot(output, data, contour, coast)\n\n\nRunning the test program will create a png named magics.png\n\n\nYou can find notebooks examples :\nhttps://github.com/ecmwf/notebook-examples/tree/master/visualisation\n\nContributing\n------------\n\nThe main repository is hosted on GitHub,\ntesting, bug reports and contributions are highly welcomed and appreciated:\n\nhttps://github.com/ecmwf/magics-python\n\nPlease see the CONTRIBUTING.rst document for the best way to help.\n\nLead developer:\n\n- `Sylvie Lamy-Thepaut <https://github.com/sylvielamythepaut>`_ - ECMWF\n\nMain contributors:\n\n- `Stephan Siemen <https://github.com/stephansiemen>`_ - ECMWF\n- `Alessandro Amici <https://github.com/alexamici>`_ - B-Open\n- `Daniel Tipping <https://github.com/dtip>`_ - `Old Reliable <https://oldreliable.tech>`_\n- `Ian Vermes <https://github.com/IanVermes>`_ - `Old Reliable <https://oldreliable.tech>`_\n\nLicense\n-------\n\nCopyright 2017-2018 European Centre for Medium-Range Weather Forecasts (ECMWF).\n\nLicensed under the Apache License, Version 2.0 (the \"License\");\nyou may not use this file except in compliance with the License.\nYou may obtain a copy of the License at: http://www.apache.org/licenses/LICENSE-2.0.\nUnless required by applicable law or agreed to in writing, software\ndistributed under the License is distributed on an \"AS IS\" BASIS,\nWITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\nSee the License for the specific language governing permissions and\nlimitations under the License.\n\n.. |Travis Build| image:: https://img.shields.io/travis/ecmwf/magics-python/master.svg?logo=travis\n :target: https://travis-ci.org/ecmwf/magics-python/branches\n.. |Appveyor Build| image:: https://img.shields.io/appveyor/ci/ecmwf/magics-python/master.svg?logo=appveyor\n :target: https://ci.appveyor.com/project/ecmwf/magics-python/branch/master\n.. |ReadTheDocs Build| image:: https://readthedocs.org/projects/magics-python/badge/?version=latest\n :target: https://magics-python.readthedocs.io/en/latest/?badge=latest\n :alt: Documentation Status\n\n\n",
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