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"info": {
"author": "Nico Schl\u00f6mer",
"author_email": "nico.schloemer@gmail.com",
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"Intended Audience :: Science/Research",
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"Programming Language :: Python",
"Programming Language :: Python :: 2",
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"Topic :: Utilities"
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"description": "# betterspy\n\n[](https://circleci.com/gh/nschloe/betterspy)\n[](https://codecov.io/gh/nschloe/betterspy)\n[](https://github.com/ambv/black)\n[](https://pypi.org/project/betterspy)\n[](https://github.com/nschloe/betterspy)\n\nShow sparsity patterns of sparse matrices or write them to image files.\n\nExample:\n```python\nimport betterspy\n\nA = sparse.rand(20, 20, density=0.1)\nbetterspy.show(A)\nbetterspy.write_png(\n \"out.png\", A,\n # border_width=2,\n # border_color=\"red\",\n # colormap=\"viridis\"\n )\n```\n\n![](\"https://nschloe.github.io/betterspy/plain.png\")
|\n![](\"https://nschloe.github.io/betterspy/viridis.png\")
\n:-------------------:|:------------------:|\nno colormap | viridis |\n\nThere is a command-line tool that can be used to show matrix-market files:\n```\nbetterspy msc00726.mtx [out.png]\n```\nSee `betterspy -h` for all options.\n\n\n### Installation\n\nbetterspy is [available from the Python Package\nIndex](https://pypi.org/project/betterspy/), so simply do\n```\npip3 install betterspy --user\n```\nto install.\n\n\n### Testing\n\nTo run the betterspy unit tests, check out this repository and type\n```\npytest\n```\n\n### License\n\nbetterspy is published under the [MIT license](https://en.wikipedia.org/wiki/MIT_License).\n\n\n",
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