Skip to main content

"SunPy: Python for Solar Physics"

Project description

Latest Version codecov matrix Research software impact DOI Powered by NumFOCUS

SunPy is an open-source Python library for Solar Physics data analysis and visualization. Our homepage SunPy has more information about the project.

For some examples of using SunPy see our gallery, to see the latest changes in SunPy see our Changelog.

Installation

The recommended way to install SunPy is with conda. To install SunPy once conda is installed run the following two commands:

$ conda config --append channels conda-forge
$ conda install sunpy

For detailed installation instructions, see the installation guide in the SunPy docs.

Developing

If you want to develop SunPy you will need to install from GitHub. The best way to do this is to create a new conda environment and install the git version of SunPy in it:

$ conda config --append channels conda-forge
$ conda create -n sunpy-dev sunpy
$ conda activate sunpy-dev
$ conda remove sunpy
$ git clone https://github.com/sunpy/sunpy.git sunpy-git
$ cd sunpy-git
$ pip install -e .[all,dev]

For detailed installation instructions, see the Newcomers’ guide in the SunPy docs.

Usage

Here is a quick example of plotting an AIA image:

>>> import sunpy.map
>>> from sunpy.data.sample import AIA_171_IMAGE
>>> aia = sunpy.map.Map(AIA_171_IMAGE)
>>> aia.peek()

Getting Help

For more information or to ask questions about SunPy, check out:

Contributing

Open Source Helpers

If you would like to get involved, start by joining the SunPy mailing list and check out the Developers Guide section of the SunPy docs. Stop by our chat room #sunpy:openastronomy.org if you have any questions. Help is always welcome so let us know what you like to work on, or check out the issues page for the list of known outstanding items.

For more information on contributing to SunPy, please read our Newcomers’ guide.

Code of Conduct

When you are interacting with the SunPy community you are asked to follow our Code of Conduct.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sunpy-1.0.7.tar.gz (7.8 MB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

sunpy-1.0.7-cp37-cp37m-manylinux2010_x86_64.whl (6.8 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.12+ x86-64

sunpy-1.0.7-cp37-cp37m-manylinux1_x86_64.whl (6.8 MB view details)

Uploaded CPython 3.7m

sunpy-1.0.7-cp37-cp37m-macosx_10_6_intel.whl (6.7 MB view details)

Uploaded CPython 3.7mmacOS 10.6+ Intel (x86-64, i386)

sunpy-1.0.7-cp36-cp36m-manylinux2010_x86_64.whl (6.8 MB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.12+ x86-64

sunpy-1.0.7-cp36-cp36m-manylinux1_x86_64.whl (6.8 MB view details)

Uploaded CPython 3.6m

sunpy-1.0.7-cp36-cp36m-macosx_10_6_intel.whl (6.7 MB view details)

Uploaded CPython 3.6mmacOS 10.6+ Intel (x86-64, i386)

File details

Details for the file sunpy-1.0.7.tar.gz.

File metadata

  • Download URL: sunpy-1.0.7.tar.gz
  • Upload date:
  • Size: 7.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.5

File hashes

Hashes for sunpy-1.0.7.tar.gz
Algorithm Hash digest
SHA256 50547e149b0366b47c2629991bf07229ee0bac640223a0ea447d7d2d2062ea8c
MD5 89d588a49a7c9b3876279bb7efb94065
BLAKE2b-256 336395557cb0d43500e028235e01108795e0df8f7861d1e4e32c79e5c540480a

See more details on using hashes here.

File details

Details for the file sunpy-1.0.7-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: sunpy-1.0.7-cp37-cp37m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 6.8 MB
  • Tags: CPython 3.7m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.5

File hashes

Hashes for sunpy-1.0.7-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 8bd4f952e5b06b7b84e62847c58ce767de81fc4208e2ef01f628314d51774bee
MD5 6896a130bcca28f706814ffdf0a421f7
BLAKE2b-256 3e8e50e02486b242ac7981f10fb1b426066eed11ea552c5bf886dda7a1ae7a4a

See more details on using hashes here.

File details

Details for the file sunpy-1.0.7-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: sunpy-1.0.7-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 6.8 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.5

File hashes

Hashes for sunpy-1.0.7-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 62ff8255fb3f892eb6e01e76440466f4177575b4217ee999f3933b139706d258
MD5 fc2f07c01d92a4268a8a605c2febd0f3
BLAKE2b-256 05dafa9d5826c378bd58943328885e94c0f919119a20bf30ec39b3395815df34

See more details on using hashes here.

File details

Details for the file sunpy-1.0.7-cp37-cp37m-macosx_10_6_intel.whl.

File metadata

  • Download URL: sunpy-1.0.7-cp37-cp37m-macosx_10_6_intel.whl
  • Upload date:
  • Size: 6.7 MB
  • Tags: CPython 3.7m, macOS 10.6+ Intel (x86-64, i386)
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.5

File hashes

Hashes for sunpy-1.0.7-cp37-cp37m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 8de6605e6a7996a77556ce1ce838cd1bac476dd27078e9b9356f6fd5e4711d45
MD5 d34d1f8098e3b9842457ed9a02eee2cb
BLAKE2b-256 cdcfffc6d6bba1a721b33203e8d532ac53f1abf6a59264f7192b309ebd8564af

See more details on using hashes here.

File details

Details for the file sunpy-1.0.7-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

  • Download URL: sunpy-1.0.7-cp36-cp36m-manylinux2010_x86_64.whl
  • Upload date:
  • Size: 6.8 MB
  • Tags: CPython 3.6m, manylinux: glibc 2.12+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.5

File hashes

Hashes for sunpy-1.0.7-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 5f8ac58b5be889382ba5c6dd4fb083b7afb2fd43498834be5421730ebcdb1a8c
MD5 b2e077edb93245fc66d064a43d708a14
BLAKE2b-256 33c9d2a648521c7c9c34a47955307d59247c28b58459d1431676eeea507ef4d2

See more details on using hashes here.

File details

Details for the file sunpy-1.0.7-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: sunpy-1.0.7-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 6.8 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.5

File hashes

Hashes for sunpy-1.0.7-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 feff64b906922c2c850f4ea7fa6d4fa1ba78aec109af41fb00124939946044ab
MD5 612d29835d04c5261be94c7348d0c446
BLAKE2b-256 f80769a4d1a3ba1abd043484ac630f19f55c484e45a7ea2430f08567f1ad8d08

See more details on using hashes here.

File details

Details for the file sunpy-1.0.7-cp36-cp36m-macosx_10_6_intel.whl.

File metadata

  • Download URL: sunpy-1.0.7-cp36-cp36m-macosx_10_6_intel.whl
  • Upload date:
  • Size: 6.7 MB
  • Tags: CPython 3.6m, macOS 10.6+ Intel (x86-64, i386)
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.5

File hashes

Hashes for sunpy-1.0.7-cp36-cp36m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 3bfe7e31c8ed62d6319d96a4a176309e3e2ef19aaf7683ff0d4ea1967dec8ebd
MD5 16ac30711acefe5b00c95c46e13e880b
BLAKE2b-256 226e4ef0e7cd595b6aa78c41bcf126b668039fee6b46f5e04119933887c9a87f

See more details on using hashes here.

Supported by

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