colorz | : art : A k-means color scheme generator | Generator Utils library

by metakirby5 Python Version: 1.0.3 License: MIT

X-Ray Key Features Code Snippets(1)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | colorz Summary

colorz is a Python library typically used in Generator, Generator Utils applications. colorz has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install colorz' or download it from GitHub, PyPI.

:art: A k-means color scheme generator.

Support

Quality

Security

License

Reuse

Support

colorz has a low active ecosystem.

It has 163 star(s) with 9 fork(s). There are 7 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 3 have been closed. On average issues are closed in 0 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of colorz is 1.0.3

Quality

colorz has 0 bugs and 0 code smells.

Security

colorz has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

colorz code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

colorz is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

colorz releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

It has 280 lines of code, 11 functions and 2 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed colorz and discovered the below as its top functions. This is intended to give you an instant insight into colorz implemented functionality, and help decide if they suit your requirements.

Create HTML preview
Convert rgb to hex
Parse command line arguments
Colorize an image
Clones a given color
Sort a list of colors
Brighten a color
Return a list of all the colors in the image
Downscale x

Get all kandi verified functions for this library.

colorz Key Features

No Key Features are available at this moment for colorz.

colorz Examples and Code Snippets

Division between dicts

Python

Lines of Code : 4

License : Strong Copyleft (CC BY-SA 4.0)

Copy

fraction = {k: [l.count(e)/len(l) for e in set(l)] for k, l in dict_1.items()}

fraction = {k: [f'{e.count(l)}/{len(l)}' for e in set(l)] for k, l in dict_1.items()}

Community Discussions

Trending Discussions on colorz

How to organize the position of the legend, colorbar and image in the plot?

QUESTION

How to organize the position of the legend, colorbar and image in the plot?

Asked 2022-Jan-23 at 00:09

I'm trying to plot some data, and I don't like the organization of the items. For example, I would like to have a bigger image and a smaller colorbar. When I modify the size of the figure still not proportional. And I also would like to tag each borehole to the legend, so I can identify it.

This is the image I have now:

and this is the code:

...

ANSWER

Answered 2022-Jan-23 at 00:09

Two parts to the question, and at least three parts to this answer.

Setting up the imports and the synthetic data. Whenever I find myself retyping or copy/pasting a complicated line with different parameters, I put in a function instead:

Source https://stackoverflow.com/questions/70698358

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install colorz

You can install using 'pip install colorz' or download it from GitHub, PyPI.
You can use colorz like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: