{ "info": { "author": "John Kirkham", "author_email": "kirkhamj@janelia.hhmi.org", "bugtrack_url": null, "classifiers": [ "Development Status :: 2 - Pre-Alpha", "Intended Audience :: Developers", "License :: OSI Approved :: BSD License", "Natural Language :: English", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6" ], "description": "===============================\nmplview\n===============================\n\n\n.. image:: https://img.shields.io/pypi/v/mplview.svg\n :target: https://pypi.python.org/pypi/mplview\n :alt: PyPI\n\n.. image:: https://img.shields.io/conda/vn/conda-forge/mplview.svg\n :target: https://anaconda.org/conda-forge/mplview\n :alt: conda-forge\n\n.. image:: https://img.shields.io/travis/jakirkham/mplview/master.svg\n :target: https://travis-ci.org/jakirkham/mplview\n :alt: Travis CI\n\n.. image:: https://readthedocs.org/projects/mplview/badge/?version=latest\n :target: https://mplview.readthedocs.io/en/latest/?badge=latest\n :alt: Read the Docs\n\n.. image:: https://coveralls.io/repos/github/jakirkham/mplview/badge.svg\n :target: https://coveralls.io/github/jakirkham/mplview\n :alt: Coveralls\n\n.. image:: https://img.shields.io/github/license/jakirkham/mplview.svg\n :target: ./LICENSE.txt\n :alt: License\n\n\nA simple, embeddable Matplotlib-based image viewer.\n\n\n* Free software: BSD 3-Clause\n* Documentation: https://mplview.readthedocs.io.\n\n\nExample\n-------\n\nTypically ``mplview`` is used within the context of the Jupyter Notebook.\nThough it can also be used with any interactive GUI backend that ``matplotlib``\nprovides. Below is a brief example of how this works in the Jupyter Notebook\nwith some dummy data. Similar usage can be applied to other contexts.\n\n.. code:: python\n\n # Run the following in your Notebook\n #\n # %matplotlib notebook\n\n import numpy as np\n import matplotlib.pyplot as plt\n from mplview.core import MatplotlibViewer\n\n arr = np.random.random((25, 30, 35))\n\n mplsv = plt.figure(FigureClass=MatplotlibViewer)\n mplsv.set_images(\n arr,\n vmin=0.0,\n vmax=1.0\n )\n\nThe array provided to set the images must provide a reasonable subset of the\nNumPy array interface (primarily slicing and coercion to NumPy Arrays). 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