meshplot | Plot 3D triangle meshes | Service Mesh library

 by   skoch9 Python Version: 0.4.0 License: GPL-3.0

kandi X-RAY | meshplot Summary

kandi X-RAY | meshplot Summary

meshplot is a Python library typically used in Architecture, Service Mesh applications. meshplot has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Plot 3D triangle meshes.
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            kandi-support Support

              meshplot has a low active ecosystem.
              It has 54 star(s) with 13 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 13 open issues and 13 have been closed. On average issues are closed in 27 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of meshplot is 0.4.0

            kandi-Quality Quality

              meshplot has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              meshplot is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              meshplot releases are available to install and integrate.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed meshplot and discovered the below as its top functions. This is intended to give you an instant insight into meshplot implemented functionality, and help decide if they suit your requirements.
            • Update an object
            • Determine the colors for a vertex
            • Get colors from input array
            • Plot a scene
            • Add line geometry to the plot
            • Add object to scene
            • Add edges to the actor
            • Add lines to the plot
            • Creates a subplot
            • Add text
            • Remove an object from the scene
            Get all kandi verified functions for this library.

            meshplot Key Features

            No Key Features are available at this moment for meshplot.

            meshplot Examples and Code Snippets

            No Code Snippets are available at this moment for meshplot.

            Community Discussions

            Trending Discussions on meshplot

            QUESTION

            Matplotlib Basemap: Removing Ocean
            Asked 2020-Jan-23 at 11:08

            I have an meshplot onto which I want to overlay continents in basemap. I am using this code:

            ...

            ANSWER

            Answered 2020-Jan-23 at 11:08

            Your requirements:

            1. A plot with continents on top of a meshplot and/or image
            2. Only mesh/image at the ocean area is visible

            To get the plot, you must use 'zorder' in each of the layers involved. The data to plot must be transformed appropriately. Here is a code that you can try, and the output plot it produces.

            Source https://stackoverflow.com/questions/59850239

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

            Vulnerabilities

            No vulnerabilities reported

            Install meshplot

            You can download it from GitHub.
            You can use meshplot 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 .
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            https://github.com/skoch9/meshplot.git

          • CLI

            gh repo clone skoch9/meshplot

          • sshUrl

            git@github.com:skoch9/meshplot.git

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