cmocean
Colormap setup for standardizing commonly-plotting oceanographic variables.
https://github.com/matplotlib/cmocean
Category: Hydrosphere
Sub Category: Ocean and Hydrology Data Access
Keywords from Contributors
reporting parallel measurements climate wx tk qt gtk meshing projection
Last synced: about 17 hours ago
JSON representation
Repository metadata
Colormap setup for standardizing commonly-plotting oceanographic variables.
- Host: GitHub
- URL: https://github.com/matplotlib/cmocean
- Owner: matplotlib
- License: mit
- Created: 2015-03-12T18:42:41.000Z (about 10 years ago)
- Default Branch: main
- Last Pushed: 2024-11-18T05:22:51.000Z (5 months ago)
- Last Synced: 2025-04-19T15:56:45.208Z (8 days ago)
- Language: Python
- Size: 19 MB
- Stars: 237
- Watchers: 13
- Forks: 52
- Open Issues: 11
- Releases: 16
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
README.md
cmocean
Documentation available: http://matplotlib.org/cmocean/.
We have a paper with guidelines to colormap selection for your application and a description of the cmocean
colormaps:
Thyng, K. M., Greene, C. A., Hetland, R. D., Zimmerle, H. M., & DiMarco, S. F. (2016). True colors of oceanography. Oceanography, 29(3), 10.
link: http://tos.org/oceanography/assets/docs/29-3_thyng.pdf
Besides Python, the cmocean colormaps are also available:
- For MATLAB by Chad Greene
- For R cmocean, which includes ggplot2 compatible functions. Also included in Oce: an oceanographic analysis package by Dan Kelley and Clark Richards.
- For Julia, included in Plots.jl and Makie.jl
- For Ocean Data Viewer
- For Generic Mapping Tools (GMT) at cpt-city and on github
- For Paraview inspired by Phillip Wolfram
- In Plotly
- Chad Greene's Antarctic Mapping Tools in Matlab uses
cmocean
- For Tableau as a preferences file on github
- For ImageJ as LUTs
- For ncview via ncmaps.
- For SeaDAS, and should work with BEAM/SNAP as well.
To install:
pip install cmocean
To install with Anaconda:
conda install -c conda-forge cmocean
If you want to be able to use the plots
submodule, you can instead install with:
pip install "cmocean[plots]"
which will also install viscm
and colorspacious
.
Owner metadata
- Name: Matplotlib Developers
- Login: matplotlib
- Email:
- Kind: organization
- Description:
- Website: https://matplotlib.org
- Location:
- Twitter: matplotlib
- Company:
- Icon url: https://avatars.githubusercontent.com/u/215947?v=4
- Repositories: 52
- Last ynced at: 2024-10-29T13:07:01.494Z
- Profile URL: https://github.com/matplotlib
GitHub Events
Total
- Issues event: 2
- Watch event: 6
- Pull request event: 2
- Fork event: 1
- Create event: 1
Last Year
- Issues event: 2
- Watch event: 6
- Pull request event: 2
- Fork event: 1
- Create event: 1
Committers metadata
Last synced: 7 days ago
Total Commits: 222
Total Committers: 20
Avg Commits per committer: 11.1
Development Distribution Score (DDS): 0.131
Commits in past year: 19
Committers in past year: 4
Avg Commits per committer in past year: 4.75
Development Distribution Score (DDS) in past year: 0.526
Name | Commits | |
---|---|---|
Kristen M. Thyng | k****g@g****m | 193 |
dependabot[bot] | 4****] | 7 |
Rémau | w****g | 3 |
ocefpaf | o****f@g****m | 2 |
andrew-s28 | a****7@g****m | 2 |
Adam J. Stewart | a****6@g****m | 1 |
Ali Ramadhan | a****n@g****m | 1 |
Andy Wickert | a****y@n****m | 1 |
Ilja Kocken | j****r | 1 |
Jed Brown | j****d@j****g | 1 |
LGTM Migrator | l****r | 1 |
MatthewFlamm | 3****m | 1 |
Matthias Bussonnier | b****s@g****m | 1 |
Todd | t****8@g****m | 1 |
shaunwbell | s****l@n****v | 1 |
Clément Robert | c****2@p****m | 1 |
Mike McCann | M****e@g****m | 1 |
Pega | j****e@g****m | 1 |
Pierre Cazenave | p****a@p****k | 1 |
bastorer | s****n@g****m | 1 |
Committer domains:
- pml.ac.uk: 1
- noaa.gov: 1
- jedbrown.org: 1
- northernwidget.com: 1
Issue and Pull Request metadata
Last synced: 1 day ago
Total issues: 37
Total pull requests: 80
Average time to close issues: 6 months
Average time to close pull requests: 14 days
Total issue authors: 28
Total pull request authors: 24
Average comments per issue: 2.84
Average comments per pull request: 0.75
Merged pull request: 72
Bot issues: 0
Bot pull requests: 8
Past year issues: 7
Past year pull requests: 3
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 4
Past year pull request authors: 3
Past year average comments per issue: 1.14
Past year average comments per pull request: 1.33
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 1
Top Issue Authors
- kthyng (5)
- SkirOwen (4)
- stefraynaud (2)
- TomLav (2)
- empet (1)
- kjordahl (1)
- edsaac (1)
- Mascagni-ML (1)
- QuLogic (1)
- neutrinoceros (1)
- caiostringari (1)
- andrew-s28 (1)
- rbeucher (1)
- alpha-beta-soup (1)
- mdunphy (1)
Top Pull Request Authors
- kthyng (47)
- dependabot[bot] (7)
- ocefpaf (3)
- neutrinoceros (2)
- pwcazenave (2)
- larsoner (1)
- Carreau (1)
- japhir (1)
- andrew-s28 (1)
- shaunwbell (1)
- kianmeng (1)
- MBARIMike (1)
- ali-ramadhan (1)
- adamjstewart (1)
- jehyunlee (1)
Top Issue Labels
Top Pull Request Labels
- dependencies (7)
Package metadata
- Total packages: 2
-
Total downloads:
- pypi: 63,954 last-month
- Total docker downloads: 647
- Total dependent packages: 77 (may contain duplicates)
- Total dependent repositories: 295 (may contain duplicates)
- Total versions: 15
- Total maintainers: 1
pypi.org: cmocean
Colormaps for Oceanography
- Homepage: https://github.com/matplotlib/cmocean
- Documentation: https://cmocean.readthedocs.io/
- Licenses: mit
- Latest release: 4.0.3 (published about 1 year ago)
- Last Synced: 2025-04-25T14:04:29.219Z (1 day ago)
- Versions: 10
- Dependent Packages: 58
- Dependent Repositories: 191
- Downloads: 63,954 Last month
- Docker Downloads: 647
-
Rankings:
- Dependent packages count: 0.314%
- Dependent repos count: 1.103%
- Docker downloads count: 1.405%
- Downloads: 2.036%
- Average: 2.571%
- Stargazers count: 4.653%
- Forks count: 5.914%
- Maintainers (1)
conda-forge.org: cmocean
- Homepage: https://github.com/matplotlib/cmocean
- Licenses: MIT
- Latest release: 1.1 (published over 2 years ago)
- Last Synced: 2025-04-02T02:16:03.263Z (25 days ago)
- Versions: 5
- Dependent Packages: 19
- Dependent Repositories: 104
-
Rankings:
- Dependent packages count: 3.333%
- Dependent repos count: 3.338%
- Average: 14.908%
- Forks count: 26.284%
- Stargazers count: 26.678%
Dependencies
- matplotlib *
- numpy *
- matplotlib *
- numpy *
- actions/checkout v3 composite
- github/codeql-action/analyze v2 composite
- github/codeql-action/autobuild v2 composite
- github/codeql-action/init v2 composite
- actions/cache v3 composite
- actions/checkout v3 composite
- codecov/codecov-action v3 composite
- conda-incubator/setup-miniconda v2 composite
Score: 19.591072772734663