{ "info": { "author": "Jade Bilkey", "author_email": "python@thefumon.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python", "Topic :: Scientific/Engineering :: Medical Science Apps." ], "description": "# msiimport\n\n## Description\n\nA convenience package for accessing mass spec image data stored as analyze75 formated files (.hdr, .img, .t2m).\n\nIf there is interest in further functionality, please create an issue to ask for features or filetype compatibility (imzML, ...).\n\nNo filetype writing is planned at this time.\n\n## Installation\n\nInstall msiimport with:\n\n`pip install msiimport`\n\n## Example\n\n```python\n# Get a 2D ndarray of data near an m/z peak\n\nfrom msiimport import analyze75 as ana\n\n#...\n\ndata = ana(path_to_dot_hdr)\nimage = data.getImage(peakmz=303.23, tolerance=0.4)\n\n```\n\n", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/STTARR/msiimport", "keywords": "", "license": "", "maintainer": "", "maintainer_email": "", "name": "msiimport", "package_url": "https://pypi.org/project/msiimport/", "platform": "", "project_url": "https://pypi.org/project/msiimport/", "project_urls": { "Homepage": "https://github.com/STTARR/msiimport" }, "release_url": "https://pypi.org/project/msiimport/0.1.0/", "requires_dist": [ "numpy", "nibabel" ], "requires_python": "", "summary": "Access analyze75 formatted mass spec images", "version": "0.1.0" }, "last_serial": 5283758, "releases": { "0.1.0": [ { "comment_text": "", "digests": { "md5": "9110169a82300a764c7c483929362da4", "sha256": "7037043d20e0a36daf30c8f27ccfb788b71bf1047e0021fe17db079ff0d8118c" }, "downloads": -1, "filename": "msiimport-0.1.0-py3-none-any.whl", "has_sig": false, "md5_digest": "9110169a82300a764c7c483929362da4", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 3542, "upload_time": "2019-05-17T19:44:41", "url": "https://files.pythonhosted.org/packages/e7/ae/97973afbbe56b856d941cd90cfd6f6aae794ac500754f744f152e656f8cb/msiimport-0.1.0-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "5c54cdb8bfcbeb9d856616323322f5cf", "sha256": "c52652b3ef4bc26cec3237a532077b7eb21ff15a4fb9e4b6e5871d6bc774f819" }, "downloads": -1, "filename": "msiimport-0.1.0.tar.gz", "has_sig": false, "md5_digest": "5c54cdb8bfcbeb9d856616323322f5cf", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 2413, "upload_time": "2019-05-17T19:44:43", "url": "https://files.pythonhosted.org/packages/df/97/ed20d0469dcd19bb73d7ba31e65e7b6e35954aea3f056a25e8fa1635e819/msiimport-0.1.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "9110169a82300a764c7c483929362da4", "sha256": "7037043d20e0a36daf30c8f27ccfb788b71bf1047e0021fe17db079ff0d8118c" }, "downloads": -1, "filename": "msiimport-0.1.0-py3-none-any.whl", "has_sig": false, "md5_digest": "9110169a82300a764c7c483929362da4", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": null, "size": 3542, "upload_time": "2019-05-17T19:44:41", "url": "https://files.pythonhosted.org/packages/e7/ae/97973afbbe56b856d941cd90cfd6f6aae794ac500754f744f152e656f8cb/msiimport-0.1.0-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "5c54cdb8bfcbeb9d856616323322f5cf", "sha256": "c52652b3ef4bc26cec3237a532077b7eb21ff15a4fb9e4b6e5871d6bc774f819" }, "downloads": -1, "filename": "msiimport-0.1.0.tar.gz", "has_sig": false, "md5_digest": "5c54cdb8bfcbeb9d856616323322f5cf", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 2413, "upload_time": "2019-05-17T19:44:43", "url": "https://files.pythonhosted.org/packages/df/97/ed20d0469dcd19bb73d7ba31e65e7b6e35954aea3f056a25e8fa1635e819/msiimport-0.1.0.tar.gz" } ] }