xBOUT | Collects BOUT++ data from parallelized simulations

 by   boutproject Python Version: 0.3.6 License: Apache-2.0

kandi X-RAY | xBOUT Summary

kandi X-RAY | xBOUT Summary

xBOUT is a Python library. xBOUT 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 xBOUT' or download it from GitHub, PyPI.

xBOUT provides an interface for collecting the output data from a BOUT++ simulation into an xarray dataset in an efficient and scalable way, as well as accessor methods for common BOUT++ analysis and plotting tasks. Currently only in alpha (until 1.0 released) so please report any bugs, and feel free to raise issues asking questions or making suggestions.
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            kandi-support Support

              xBOUT has a low active ecosystem.
              It has 19 star(s) with 6 fork(s). There are 14 watchers for this library.
              There were 1 major release(s) in the last 12 months.
              There are 47 open issues and 49 have been closed. On average issues are closed in 175 days. There are 7 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of xBOUT is 0.3.6

            kandi-Quality Quality

              xBOUT has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              xBOUT is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              xBOUT 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.

            Top functions reviewed by kandi - BETA

            kandi has reviewed xBOUT and discovered the below as its top functions. This is intended to give you an instant insight into xBOUT implemented functionality, and help decide if they suit your requirements.
            • Open a BOUT dataset
            • Applies a geometry
            • Create a 1D coordinate from spacing
            • Add attributes to a dataset
            • Wrapper for plot2d
            • Create a matplotlib colors
            • Decompose region
            • Return True if there are cores that are core - only
            • Collect data from a given variable
            • Plot regions of a 2D region
            • Helper function to add s alpha coordinates
            • Add a geometry to the dataset
            • Add variables from a grid
            • Set default coordinates
            • Convenience function to add coordinate coordinates to the dataset
            • Create a single region
            Get all kandi verified functions for this library.

            xBOUT Key Features

            No Key Features are available at this moment for xBOUT.

            xBOUT Examples and Code Snippets

            No Code Snippets are available at this moment for xBOUT.

            Community Discussions

            No Community Discussions are available at this moment for xBOUT.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install xBOUT

            You can test your installation of xBOUT by running pytest --pyargs xbout. xBOUT requires other python packages, which will be installed when you run one of the above install commands if they are not already installed on your system.

            Support

            Feel free to raise issues about anything, or submit pull requests, though I would encourage you to submit an issue before writing a pull request. For a general guide on how to contribute to an open-source python project see xarray's guide for contributors. The existing code was written using Test-Driven Development, and I would like to continue this, so please include pytest tests with any pull requests. If you write a new accessor, then this should really live with the code for your BOUT module, but it could potentially be added as an example to this repository too.
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            Install
          • PyPI

            pip install xbout

          • CLONE
          • HTTPS

            https://github.com/boutproject/xBOUT.git

          • CLI

            gh repo clone boutproject/xBOUT

          • sshUrl

            git@github.com:boutproject/xBOUT.git

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