plot-all-in-ncfile | Simple netCDF plotting utility script

 by   darothen Python Version: Current License: MIT

kandi X-RAY | plot-all-in-ncfile Summary

kandi X-RAY | plot-all-in-ncfile Summary

plot-all-in-ncfile is a Python library. plot-all-in-ncfile has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However plot-all-in-ncfile build file is not available. You can download it from GitHub.

For convenience, a conda environment has been provided with all the packages used to automate this task. The install process is very straightforward (and unnecessary if you already have a scientific Python setup running with the packages xarray and cartopy):. You may want to install the bleeding-edge release of [xray][],. From there, just run the script with the "-h" flag for help/usage. A very simple scheme is used to save color formatting between plots. The script has the to read a "colorfile", which is really just a glorified dictionary of dictionaries which has been saved (pickled) to disk. I patched in to use [arxray][]'s tool to automatically infer colormap settings, and if this "colorfile" isn't supplied as an argument, it'll automatically look at all the data for each variable and figure out the best colormap settings and save them in a file with the same basename as the netCDF file being plotted but with the extension .cf. Furthermore, if you supply a colorfile but it doesn't contain details for a variable found in the netCDF file, it will automatically infer it and add it to the colorfile.
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            kandi-support Support

              plot-all-in-ncfile has a low active ecosystem.
              It has 6 star(s) with 4 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              plot-all-in-ncfile has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of plot-all-in-ncfile is current.

            kandi-Quality Quality

              plot-all-in-ncfile has no bugs reported.

            kandi-Security Security

              plot-all-in-ncfile has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              plot-all-in-ncfile 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

              plot-all-in-ncfile releases are not available. You will need to build from source code and install.
              plot-all-in-ncfile has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed plot-all-in-ncfile and discovered the below as its top functions. This is intended to give you an instant insight into plot-all-in-ncfile implemented functionality, and help decide if they suit your requirements.
            • Plot a GeoVector object .
            • Add a colorbar to matplotlib .
            • Return a new DataArray with cyclic coordinates .
            • Check that the data is cyclic .
            Get all kandi verified functions for this library.

            plot-all-in-ncfile Key Features

            No Key Features are available at this moment for plot-all-in-ncfile.

            plot-all-in-ncfile Examples and Code Snippets

            No Code Snippets are available at this moment for plot-all-in-ncfile.

            Community Discussions

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            Vulnerabilities

            No vulnerabilities reported

            Install plot-all-in-ncfile

            You can download it from GitHub.
            You can use plot-all-in-ncfile 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.

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            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

            https://github.com/darothen/plot-all-in-ncfile.git

          • CLI

            gh repo clone darothen/plot-all-in-ncfile

          • sshUrl

            git@github.com:darothen/plot-all-in-ncfile.git

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