Metadata-Version: 1.1
Name: Magics
Version: 1.3.0
Summary: Python interface to plot meteorological data in GRIB, NetCDF and BUFR.
Home-page: https://github.com/ecmwf/magics-python
Author: European Centre for Medium-Range Weather Forecasts (ECMWF)
Author-email: software.support@ecmwf.int
License: Apache License Version 2.0
Description: 
        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.
        
        |Travis Build| |Appveyor Build| |ReadTheDocs Build|
        
        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* library
        that must be installed on the system and accessible as a shared library.
        Some Linux distributions ship a binary version that may be installed with the standard package manager.
        On Ubuntu 18.04 use the command::
        
            $ sudo apt-get install libmagplus3v5
        
        As an alternative you may install the official source distribution
        by following the instructions at
        https://software.ecmwf.int/magics/Installation+Guide
        
        Note that *Magics* support for the Windows operating system is experimental.
        
        You may run a simple selfcheck command to ensure that your system is set up correctly::
        
            $ python -m Magics selfcheck
            Found: Magics '4.0.0'.
            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
           :target: https://travis-ci.org/ecmwf/magics-python/branches
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            :alt: Documentation Status
        
Keywords: magics visualisation meteorology grib netcdf bufr
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Operating System :: OS Independent
