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    "info": {
        "author": "Carlos Alberto Gomez Gonzalez",
        "author_email": "carlosgg33@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Environment :: Console",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Operating System :: MacOS :: MacOS X",
            "Operating System :: POSIX :: Linux",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Scientific/Engineering :: Astronomy"
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        "description": "[![PyPI version](https://badge.fury.io/py/hciplot.svg)](https://badge.fury.io/py/hciplot)\n\n# HCIplot\n\n``HCIplot`` -- High-contrast Imaging Plotting library. The goal of this\nlibrary is to be the \"Swiss army\" solution for plotting and visualizing \nmulti-dimensional high-contrast imaging datacubes on ``JupyterLab``. \nWhile visualizing FITS files is straightforward with SaoImage DS9 or any\nother FITS viewer, exploring the content of an HCI datacube as an \nin-memory ``numpy`` array (for example when running your ``Jupyter`` \nsession on a remote machine) is far from easy. \n\n``HCIplot`` contains two functions, ``plot_frames`` and ``plot_cubes``,\nand relies on the ``matplotlib`` and ``HoloViews`` libraries and \n``ImageMagick``. ``HCIplot`` allows to:\n\n* Plot a single frame (2d array) or create a mosaic of frames.\n\n![mosaic](https://github.com/carlgogo/carlgogo.github.io/blob/master/assets/images/hciplot.png?raw=true)\n\n* Annotate and save publication ready frames/mosaics.\n\n* Visualize 2d arrays as surface plots.\n\n* Create interactive plots when handling 3d or 4d arrays (thanks to \n``HoloViews``)\n\n![datacube](https://github.com/carlgogo/carlgogo.github.io/blob/master/assets/images/hciplot2.png?raw=true)\n\n* Save to disk a 3d array as an animation (gif or mp4).\n\n\n## Installation\n\nYou can install ``HCIplot`` with ``pip``:\n\n```\npip install hciplot\n```\n\n``JupyterLab`` can be installed either with ``pip`` or with ``conda``:\n\n```\nconda install -c conda-forge jupyterlab\n```\n\nThe ``PyViz`` extension must be installed to display the ``holoviews`` \nwidgets on ``JupyterLab``:\n\n```    \njupyter labextension install @pyviz/jupyterlab_pyviz\n```\n\nIf you want to create animations with ``plot_cubes`` you need to install\n``ImageMagick`` with your system's package manager (e.g. brew if you are \non MacOS or apt-get if you are on Ubuntu). \n\n",
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        "license": "MIT",
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        "name": "hciplot",
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