cmocean
Colormap setup for standardizing commonly-plotting oceanographic variables.
Science Score: 23.0%
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○CITATION.cff file
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Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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✓Committers with academic emails
2 of 20 committers (10.0%) from academic institutions -
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○Scientific vocabulary similarity
Low similarity (11.6%) to scientific vocabulary
Keywords from Contributors
Repository
Colormap setup for standardizing commonly-plotting oceanographic variables.
Basic Info
- Host: GitHub
- Owner: matplotlib
- License: mit
- Language: Python
- Default Branch: main
- Size: 19 MB
Statistics
- Stars: 246
- Watchers: 13
- Forks: 52
- Open Issues: 14
- Releases: 16
Metadata Files
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
- Name: Matplotlib Developers
- Login: matplotlib
- Kind: organization
- Website: https://matplotlib.org
- Twitter: matplotlib
- Repositories: 52
- Profile: https://github.com/matplotlib
GitHub Events
Total
- Issues event: 3
- Watch event: 15
- Issue comment event: 1
- Pull request event: 3
- Fork event: 1
- Create event: 1
Last Year
- Issues event: 3
- Watch event: 15
- Issue comment event: 1
- Pull request event: 3
- Fork event: 1
- Create event: 1
Committers
Last synced: 10 months ago
Top Committers
| 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 (Top 20 + Academic)
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 36
- Total pull requests: 81
- Average time to close issues: 6 months
- Average time to close pull requests: 14 days
- Total issue authors: 29
- Total pull request authors: 25
- Average comments per issue: 2.81
- Average comments per pull request: 0.74
- Merged pull requests: 72
- Bot issues: 0
- Bot pull requests: 8
Past Year
- Issues: 4
- Pull requests: 3
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 4
- Pull request authors: 3
- Average comments per issue: 0.0
- Average comments per pull request: 0.0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 1
Top Authors
Issue Authors
- kthyng (5)
- stefraynaud (2)
- TomLav (2)
- SkirOwen (2)
- empet (1)
- kjordahl (1)
- edsaac (1)
- Mascagni-ML (1)
- QuLogic (1)
- neutrinoceros (1)
- caiostringari (1)
- rbeucher (1)
- alpha-beta-soup (1)
- mdunphy (1)
- fischcheng (1)
Pull Request Authors
- kthyng (48)
- dependabot[bot] (10)
- ocefpaf (4)
- neutrinoceros (3)
- larsoner (2)
- pwcazenave (2)
- MatthewFlamm (2)
- andrew-s28 (2)
- Carreau (1)
- japhir (1)
- shaunwbell (1)
- kianmeng (1)
- MBARIMike (1)
- ali-ramadhan (1)
- adamjstewart (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 2
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Total downloads:
- pypi 83,785 last-month
- Total docker downloads: 647
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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/
- License: mit
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Latest release: 4.0.3
published over 2 years ago
Rankings
Maintainers (1)
conda-forge.org: cmocean
- Homepage: https://github.com/matplotlib/cmocean
- License: MIT
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Latest release: 1.1
published almost 4 years ago
Rankings
Dependencies
- matplotlib *
- numpy *
- matplotlib *
- numpy *
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- github/codeql-action/analyze v2 composite
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- actions/cache v3 composite
- actions/checkout v3 composite
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- conda-incubator/setup-miniconda v2 composite