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        "author": "Tobias Staal",
        "author_email": "tobbe@tripitaka.se",
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        "description": "[![DOI](https://zenodo.org/badge/163904331.svg)](https://zenodo.org/badge/latestdoi/163904331) \n[![Python 3.6](https://img.shields.io/badge/python-3.6-blue.svg)](https://www.python.org/downloads/release/python-360/)\n\n# agrid\nA grid for modelling, analyse, map and visualise multidimensional and multivariate data. The module contains a class for generating grid objects with variables and functions that defines a multidimensional space with defined extent. \n\nMain features:\n  - Labelled dimensions coordinates using xarray\n  - Fast process of high resolution and low resolution data\n  - Using dask arrays\n  - 2D map plots and cross-sections\n  - 3D visualisation\n  - Features for modelling, analysis and visualisation\n\nThe repository contains: \n - Module with class for functions and variables. \n - Jupyter notebook tutorials:\n  - 1. The grid object\n  - 2. Import data\n  - 3. Visualize data\n  - 4. Introduction to processing and modelling using grid. \n\n---\n## Instructions: \n\nThe package can be installed by adding it to your Python path, but can also be an incorporated part of you project. \n\nTo start: \nDownload module. \n\nImport agrid \n\nSee example in the Jupyter Notebook agrid\n\nUsing pip: \npip install agrid\n\n---\n\n## Future development: \n\n - Software Meta-paper\n - Updates\n - Non regular grids\n - Hexagonal grids\n - More visualisation option\n - More developed and robust import functions\n\n",
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