{ "info": { "author": "Tim Anderton, Dylan Gregersen", "author_email": ";", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Intended Audience :: Developers", "Intended Audience :: Science/Research", "License :: OSI Approved :: BSD License", "Natural Language :: English", "Programming Language :: Python", "Topic :: Scientific/Engineering :: Mathematics", "Topic :: Scientific/Engineering :: Physics" ], "description": "LATBIN\n======\n\nThis python package is used for binning onto lattices in multiple\ndimensions.\n\nWhy Use Lattices\n----------------\n\nFor \"regular\" 2D histogramming you implicitly use a Z2 lattice! But the\nerrors involved with quantizing to a Z2 lattices is larger than A2.\n\ninsert plot here showing proper comparison of Z2 and A2 give name of\nfile which creates Z2-A2 comparison\n\nBasic Example\n-------------\n\nThis example shows how to take a normal data set and histogram the data\nonto an A2 (aka honeycomb) lattice using latbin.\n\n.. code:: python\n\n import latbin\n import numpy as np\n\n # create some fake data with shape (npts,ndim)\n npts,ndim = 60000,2\n data = np.random.normal(size=(npts, ndim))*4.0\n\n # create an A2 lattice (honeycomb binning)\n a2 = latbin.ALattice(2)\n\n # histogram the data onto A2 Lattice\n h = a2.histogram(data)\n\n # get the lattice points in the data space\n centers = h.centers()\n\n # show the result\n import matplotlib.pylab as plt\n plt.title(\"Honeycomb binning (A2 Lattice)\")\n plt.scatter(centers[:,0],centers[:,1],c=h.values(), s=70)\n plt.show()\n\nInstallation\n------------\n\nIn the terminal you can install this in the usual way.\n\n.. code:: bash\n\n python setup.py install", "description_content_type": null, "docs_url": "https://pythonhosted.org/latbin/", "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/astrodsg/latbin", "keywords": null, "license": "3-clause BSD style license", "maintainer": null, "maintainer_email": null, "name": "latbin", "package_url": "https://pypi.org/project/latbin/", "platform": "any", "project_url": "https://pypi.org/project/latbin/", "project_urls": { "Download": "UNKNOWN", "Homepage": "https://github.com/astrodsg/latbin" }, "release_url": "https://pypi.org/project/latbin/0.1.4/", "requires_dist": null, "requires_python": null, "summary": "Python lattice binning package for large data", "version": "0.1.4" }, "last_serial": 1310451, "releases": { "0.1.1": [ { "comment_text": "", "digests": { "md5": "d46ea4fb95379632136d36204c3d0a07", "sha256": "7d1bb5717b420d7b34c7d0ead43bef5dbad7aab3d23582428f4b605817d3683f" }, "downloads": -1, "filename": "latbin-0.1.1.macosx-10.5-i386.exe", "has_sig": false, "md5_digest": "d46ea4fb95379632136d36204c3d0a07", "packagetype": "bdist_wininst", "python_version": "any", "requires_python": null, "size": 71703, "upload_time": "2014-03-14T01:29:27", "url": "https://files.pythonhosted.org/packages/1d/19/546d087041f6d63d8c2fcb161ed2406a87f2a85b75b20f63ecc184626849/latbin-0.1.1.macosx-10.5-i386.exe" }, { "comment_text": "", "digests": { "md5": "e80162ee620dae247259520e3724dfb8", "sha256": "a8dc3ae7e5ce53a462e9c702d394f9c8a9f8648f05b75a039c1349ae4e6ff3f6" }, "downloads": -1, "filename": "latbin-0.1.1.tar.gz", "has_sig": false, "md5_digest": "e80162ee620dae247259520e3724dfb8", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 11935, "upload_time": "2014-03-14T01:29:25", "url": "https://files.pythonhosted.org/packages/5b/f4/c17a999efd69e86fb460ec59367f986a07b20071cb045ca7b6099a9ad2d3/latbin-0.1.1.tar.gz" } ], "0.1.2": [ { "comment_text": "", "digests": { "md5": "8b3d9d463871c84d36c24bcd785daac9", "sha256": "3e6717c44c27c2445970c02decd9af9ea290359aa9727edd7e86e965829f7663" }, "downloads": -1, "filename": "latbin-0.1.2.macosx-10.5-i386.exe", "has_sig": false, "md5_digest": "8b3d9d463871c84d36c24bcd785daac9", "packagetype": "bdist_wininst", "python_version": "any", "requires_python": null, "size": 71705, "upload_time": "2014-03-14T01:55:56", "url": "https://files.pythonhosted.org/packages/4b/1a/84d636c4c6784b8d8311d6baa3625dc598c6355b6d9da2ddabf61fa6f0a8/latbin-0.1.2.macosx-10.5-i386.exe" }, { "comment_text": "", "digests": { "md5": "f9cb4b837140283c60cfd7cf9951017c", "sha256": "3b13e24bc89236d9c9fa2d1d99aba1d6281b7ec2d2f39e7fe852c67875f2ab83" }, "downloads": -1, "filename": "latbin-0.1.2.tar.gz", "has_sig": false, "md5_digest": "f9cb4b837140283c60cfd7cf9951017c", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 11946, "upload_time": "2014-03-14T01:55:54", "url": "https://files.pythonhosted.org/packages/f6/3b/df2a03925103b60bc99d5c8c5ab01690a9f14223f8f33cdc9ed374c0d610/latbin-0.1.2.tar.gz" } ], "0.1.3": [], "0.1.4": [ { "comment_text": "", "digests": { "md5": "465c589b76a529a1b2c0c4d86fcb61b8", "sha256": "048a08bfece91b86e70fadfa5ead529faa1f2f73e4a2d91bb1756208f8794735" }, "downloads": -1, "filename": "latbin-0.1.4.tar.gz", "has_sig": false, "md5_digest": "465c589b76a529a1b2c0c4d86fcb61b8", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 18076, "upload_time": "2014-11-17T18:01:30", "url": "https://files.pythonhosted.org/packages/9f/88/fa9530f104b8c8e7bc0a28a0bba9b999a48874e31616f4a4b3827107f01e/latbin-0.1.4.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "465c589b76a529a1b2c0c4d86fcb61b8", "sha256": "048a08bfece91b86e70fadfa5ead529faa1f2f73e4a2d91bb1756208f8794735" }, "downloads": -1, "filename": "latbin-0.1.4.tar.gz", "has_sig": false, "md5_digest": "465c589b76a529a1b2c0c4d86fcb61b8", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 18076, "upload_time": "2014-11-17T18:01:30", "url": "https://files.pythonhosted.org/packages/9f/88/fa9530f104b8c8e7bc0a28a0bba9b999a48874e31616f4a4b3827107f01e/latbin-0.1.4.tar.gz" } ] }