Science Score: 57.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 6 DOI reference(s) in README -
○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (7.1%) to scientific vocabulary
Repository
Colormap Collection for MATLAB and Python
Basic Info
- Host: GitHub
- Owner: humbertolvarona
- License: cc-by-4.0
- Language: Shell
- Default Branch: main
- Size: 466 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Colormap Collection for MATLAB and Python (CMCollect)
Version
1.0
Release date
2024-10-19
DOI
https://doi.org/10.5281/zenodo.14193220
License
CC-BY-NC-4.0
Description
Explore a comprehensive collection of colormaps designed for seamless integration with MATLAB and Python. These colormaps cater to diverse visualization needs, from scientific data representation to creative designs. Effortlessly enhance your plots with vivid and intuitive color schemes optimized for clarity and aesthetics.
IMPORTANT NOTICE: The use of this software for commercial use is strictly prohibited.
How to install
Matlab 2023b compatible software
- Open Matlab
- Go to APP tab
- Click on the "Install App" button
- Select the CMCollect.mlappinstall file
- In the Install dialog click on the "Install" button
How to run
Type in the Matlab command window:
```sh
CMCollect
``` or Find CMCollect in the APP tab of Matlab.
How to use
MATLAB
```matlab load('italy')
x = linspace(0, 10, 100); y = linspace(0, 10, 100); [X, Y] = meshgrid(x, y); Z = sin(X) .* cos(Y);
figure; contourf(X, Y, Z, 100, 'LineStyle', 'none'); colormap(cmITALY) colorbar; title('Custom Colormap Example in MATLAB'); xlabel('X-axis'); ylabel('Y-axis'); ```
The chart will display data represented with the custom colormap exported from MATLAB, allowing for a professional and consistent visualization in Python. This approach works for any colormap generated in MATLAB and converted to Python.
Cite as
Humberto L. Varona, Silena Herold-Garcia. (2024). Colormap Collection for MATLAB and Python (CMCollect). (1.0). Zenodo. https://doi.org/10.5281/zenodo.14193220.
Owner
- Name: Humberto L. Varona
- Login: humbertolvarona
- Kind: user
- Location: Brazil
- Repositories: 2
- Profile: https://github.com/humbertolvarona
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: >-
Colormap Collection for MATLAB and Python (CMCollect)
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- family-names: Varona
given-names: Humberto L.
email: humberto.varona@gmail.com
affiliation: >-
Center for Risk Analysis and Environmental Modeling (CEERMA),
Federal University of Pernambuco. Recife, PE, Brazil.
orcid: 'https://orcid.org/0000-0001-7405-4827'
- family-names: Herold-Garcia
given-names: Silena
email: silena.herold@gmail.com
affiliation: >-
Center for Risk Analysis and Environmental Modeling (CEERMA),
Federal University of Pernambuco. Recife, PE, Brazil.
orcid: 'https://orcid.org/0000-0001-9238-3472'
repository-code: 'https://doi.org/10.5281/zenodo.14193220'
abstract: >-
Explore a comprehensive collection of colormaps designed for seamless
integration with MATLAB and Python. These colormaps cater to diverse
visualization needs, from scientific data representation to creative designs.
Effortlessly enhance your plots with vivid and intuitive color schemes
optimized for clarity and aesthetics.
keywords:
- Custom colormaps
license: CC-BY-NC-4.0
version: '1.0'
date-released: '2024-10-19'