Skip to main content

Python interface to plot meteorological data in GRIB, NetCDF and BUFR.

Project 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.

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 '3.4.0.10'.
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:

Main contributors:

See also the list of contributors who participated in this project.

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.

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

Magics-1.0.0.tar.gz (15.3 kB view details)

Uploaded Source

Built Distribution

Magics-1.0.0-py2.py3-none-any.whl (21.3 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file Magics-1.0.0.tar.gz.

File metadata

  • Download URL: Magics-1.0.0.tar.gz
  • Upload date:
  • Size: 15.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.5.0.1 requests/2.18.4 setuptools/40.8.0 requests-toolbelt/0.8.0 tqdm/4.30.0 CPython/3.7.0

File hashes

Hashes for Magics-1.0.0.tar.gz
Algorithm Hash digest
SHA256 8e333b8d074f8ecfc0538a67bbdefa84bc413a6bec9a345168ebb363e3b4a983
MD5 3b1f2a86686bc21c746e4defea4ee61f
BLAKE2b-256 eb68f35ff0b2c16c13768c2b174dd794a0e6caa735e34b3bef0dac99bfe32560

See more details on using hashes here.

File details

Details for the file Magics-1.0.0-py2.py3-none-any.whl.

File metadata

  • Download URL: Magics-1.0.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 21.3 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.5.0.1 requests/2.18.4 setuptools/40.8.0 requests-toolbelt/0.8.0 tqdm/4.30.0 CPython/3.7.0

File hashes

Hashes for Magics-1.0.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 04a736b8ebaa5c016f57ab89477f3c990ed679db059d266938add72b89b66448
MD5 4ac0a2c88944b1df1edc29ae324b7b27
BLAKE2b-256 1dcc5041f09c95ee0f154d793283600cdd3c92a43fc9ffe0f04052bcb9fda8a2

See more details on using hashes here.

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