{ "info": { "author": "Yuki Izumi", "author_email": "yuki@kivikakk.ee", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Programming Language :: Python :: 2", "Programming Language :: Python :: 3" ], "description": "Two functions to aid in reading CSV and XLS/XLSX files interchangeably,\nwhile respecting Unicode.\n\nread_csv_or_xls does its best to read its data argument (should be\nbytes) as an Excel file. If it fails, it tries to decode it as UTF-8.\nIf you hand it a (Unicode) string, it'll just return it.\n\nutf8_reader gives you a CSV reader (like the csv library's) which\ndecodes its argument as UTF-8; the generator yields Unicode strings.", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/kivikakk/csvxls", "keywords": null, "license": "kindest", "maintainer": null, "maintainer_email": null, "name": "csvxls", "package_url": "https://pypi.org/project/csvxls/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/csvxls/", "project_urls": { "Download": "UNKNOWN", "Homepage": "https://github.com/kivikakk/csvxls" }, "release_url": "https://pypi.org/project/csvxls/0.2/", "requires_dist": null, "requires_python": null, "summary": "Functions to read from CSV or XLS(X) files interchangeably", "version": "0.2" }, "last_serial": 1732915, "releases": { "0.1": [ { "comment_text": "", "digests": { "md5": "1f24cca4d4bf04f364654f02088a4efa", "sha256": "cae8d7cea8cef9d7e1c558bb76b659f4afe23dd2f7770e75d856c390b776a8e2" }, "downloads": -1, "filename": "csvxls-0.1.tar.gz", "has_sig": false, "md5_digest": "1f24cca4d4bf04f364654f02088a4efa", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 1780, "upload_time": "2015-09-22T02:27:45", "url": "https://files.pythonhosted.org/packages/bb/02/f50b35aa1bd2044037749b69a48d4ff24fd41b125176354b7f43718cef84/csvxls-0.1.tar.gz" } ], "0.2": [ { "comment_text": "", "digests": { "md5": "4a11ab1be02da30ab8ae6309b7b0bf9a", "sha256": "d94645db8034328689a8032bce208512f243c18aaea848359cff2c0b7096ea46" }, "downloads": -1, "filename": "csvxls-0.2.tar.gz", "has_sig": false, "md5_digest": "4a11ab1be02da30ab8ae6309b7b0bf9a", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 1782, "upload_time": "2015-09-22T09:38:51", "url": "https://files.pythonhosted.org/packages/1f/96/093c2e6908715f2e32e8e072d4907c42c8ffc091387fe3ba0697b1604343/csvxls-0.2.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "4a11ab1be02da30ab8ae6309b7b0bf9a", "sha256": "d94645db8034328689a8032bce208512f243c18aaea848359cff2c0b7096ea46" }, "downloads": -1, "filename": "csvxls-0.2.tar.gz", "has_sig": false, "md5_digest": "4a11ab1be02da30ab8ae6309b7b0bf9a", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 1782, "upload_time": "2015-09-22T09:38:51", "url": "https://files.pythonhosted.org/packages/1f/96/093c2e6908715f2e32e8e072d4907c42c8ffc091387fe3ba0697b1604343/csvxls-0.2.tar.gz" } ] }