samila | Generative Art Generator | Animation library

 by   sepandhaghighi Python Version: 1.1 License: MIT

kandi X-RAY | samila Summary

kandi X-RAY | samila Summary

samila is a Python library typically used in User Interface, Animation applications. samila has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install samila' or download it from GitHub, PyPI.

Samila is a generative art generator written in Python, Samila let's you create arts based on many thousand points. The position of every single point is calculated by a formula, which has random parameters. Because of the random numbers, every image looks different.
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            kandi-support Support

              samila has a medium active ecosystem.
              It has 1009 star(s) with 80 fork(s). There are 11 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 9 open issues and 51 have been closed. On average issues are closed in 73 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of samila is 1.1

            kandi-Quality Quality

              samila has 0 bugs and 0 code smells.

            kandi-Security Security

              samila has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              samila code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              samila is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              samila releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              It has 567 lines of code, 29 functions and 15 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed samila and discovered the below as its top functions. This is intended to give you an instant insight into samila implemented functionality, and help decide if they suit your requirements.
            • Plot the image
            • Plot parameters
            • Filters given color and background color
            • Return a filtered colormap
            • Load configuration from file
            • Load the cmap
            • Generate a set of parameters
            • Generate a random parameter filter
            • Fills the data with the given point
            • Generate floating point range
            • Load data from data
            • Saves nft file to NFT
            • Save matplotlib figure
            • Upload data to NFT storage
            • Save params filter
            • Print the result of each test tag
            • Read the description from the README md file
            • Save the image
            • Save figure to file
            • Show help for samila
            • Saves the model as a data file
            • Save the data to a file
            • Serialize a cmap
            • Save configuration file
            • Save the configuration to a file
            • Get requirements txt
            Get all kandi verified functions for this library.

            samila Key Features

            No Key Features are available at this moment for samila.

            samila Examples and Code Snippets

            No Code Snippets are available at this moment for samila.

            Community Discussions

            QUESTION

            Matplotlib Scatter Plot Returns Different Plots in Different Versions
            Asked 2021-Oct-28 at 14:21

            I'm working on a generative art generator library for python called samila based on matplotlib scatter plot. It gets two functions and maps a square space into a arbitrary shape. We want the generated shape to be the same for given functions and given random seed in order to be reproducible.

            Recently we were working on functions with complex values and notified that scatter plot output is not the same in different versions on matplotlib.

            I wanted to know why is it like this and what's the problem with matplotlib. If this is a bug it could be horrible for matplotlib to plot different figures for a specific code in its different versions.

            So if you run bellow code using matplotlib==3.4.3:

            ...

            ANSWER

            Answered 2021-Oct-28 at 14:21

            The problem was that matplotlib changes its plotting strategy from 3.0.3 which ignores points with negative radius to 3.4.3 in which they're plotted.

            I couldn't find this using compare release notes and it was so confusing for me. Hope there will be an warning for this situation avoiding future issues.

            I tested bellow code which is way simpler:

            Source https://stackoverflow.com/questions/69718875

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

            Vulnerabilities

            No vulnerabilities reported

            Install samila

            Run easy_install --upgrade samila (Need root access)

            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 .
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            Install
          • PyPI

            pip install samila

          • CLONE
          • HTTPS

            https://github.com/sepandhaghighi/samila.git

          • CLI

            gh repo clone sepandhaghighi/samila

          • sshUrl

            git@github.com:sepandhaghighi/samila.git

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