{ "info": { "author": "DQinYuan", "author_email": "sa517067@mail.ustc.edu.cn", "bugtrack_url": null, "classifiers": [ "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Natural Language :: Chinese (Simplified)", "Operating System :: OS Independent", "Programming Language :: Python :: 3.6", "Topic :: Text Processing", "Topic :: Text Processing :: Indexing" ], "description": "\n\nchinese_province_city_area_mapper\n==================================\n\nchinese_province_city_area_mapper\uff1a\u4e00\u4e2a\u7528\u4e8e\u8bc6\u522b\u7b80\u4f53\u4e2d\u6587\u5b57\u7b26\u4e32\u4e2d\u7701\uff0c\u5e02\u548c\u533a\u5e76\u80fd\u591f\u8fdb\u884c\u6620\u5c04\uff0c\u68c0\u9a8c\u548c\u7b80\u5355\u7ed8\u56fe\u7684python\u6a21\u5757\n\n\u4e3e\u4e2a\u4f8b\u5b50::\n\n [\"\u5f90\u6c47\u533a\u8679\u6f15\u8def461\u53f758\u53f7\u697c5\u697c\", \"\u6cc9\u5dde\u5e02\u6d1b\u6c5f\u533a\u4e07\u5b89\u5858\u897f\u5de5\u4e1a\u533a\"]\n \u2193 \u8f6c\u6362\n |\u7701 |\u5e02 |\u533a |\u5730\u5740 |\n |\u4e0a\u6d77\u5e02|\u4e0a\u6d77\u5e02|\u5f90\u6c47\u533a|\u8679\u6f15\u8def461\u53f758\u53f7\u697c5\u697c |\n |\u798f\u5efa\u7701|\u6cc9\u5dde\u5e02|\u6d1b\u6c5f\u533a|\u4e07\u5b89\u5858\u897f\u5de5\u4e1a\u533a |\n\n\nchinese_province_city_area_mapper: built to be recognize Chinese province,city and area in simplified Chinese string, it can automaticall map area to city \nand map city to province.\nfor example::\n\n [\"\u5f90\u6c47\u533a\u8679\u6f15\u8def461\u53f758\u53f7\u697c5\u697c\", \"\u6cc9\u5dde\u5e02\u6d1b\u6c5f\u533a\u4e07\u5b89\u5858\u897f\u5de5\u4e1a\u533a\"]\n \u2193 transform\n |\u7701 |\u5e02 |\u533a |\u5730\u5740 |\n |\u4e0a\u6d77\u5e02|\u4e0a\u6d77\u5e02|\u5f90\u6c47\u533a|\u8679\u6f15\u8def461\u53f758\u53f7\u697c5\u697c |\n |\u798f\u5efa\u7701|\u6cc9\u5dde\u5e02|\u6d1b\u6c5f\u533a|\u4e07\u5b89\u5858\u897f\u5de5\u4e1a\u533a |\n\n\n\n\u5b8c\u6574\u6587\u6863\u89c1\u8be5\u6a21\u5757\u7684Github\uff0c\nGitHub: `https://github.com/DQinYuan/chinese_province_city_area_mapper `_\n\n\u7279\u70b9\n====\n\n- \u57fa\u4e8ejieba\u5206\u8bcd\u8fdb\u884c\u5339\u914d\uff0c\u540c\u65f6\u52a0\u5165\u4e86\u4e00\u4e9b\u989d\u5916\u7684\u6821\u9a8c\u5339\u914d\u903b\u8f91\u4fdd\u8bc1\u4e86\u51c6\u786e\u7387\n\n- \u56e0\u4e3ajieba\u5206\u8bcd\u672c\u8eab\u53ea\u670980%\u7684\u51c6\u786e\u7387\uff0c\u7ecf\u5e38\u4f1a\u5206\u9519\uff0c\u6240\u4ee5\u5f15\u5165\u4e86\u5168\u6587\u5339\u914d\u7684\u6a21\u5f0f\uff0c\u8fd9\u79cd\u6a21\u5f0f\u4e0b\u80fd\u591f\u63d0\u9ad8\u51c6\u786e\u7387\uff0c\u4f46\u4f1a\u5bfc\u81f4\u6027\u80fd\u964d\u4f4e\uff0c\u5173\u4e8e\u5982\u4f55\u5f00\u542f\u8fd9\u4e2a\u6a21\u5f0f\u89c1Github\u4e0a\u7684\u4f7f\u7528\u6587\u6863\n\n- \u5982\u679c\u5730\u5740\u6570\u636e\u6bd4\u8f83\u810f\u7684\uff0c\u4e0d\u80fd\u6307\u671b\u4f9d\u9760\u8fd9\u4e2a\u6a21\u5757\u8fbe\u5230100%\u7684\u51c6\u786e\uff0c\u672c\u6a21\u5757\u53ea\u80fd\u4fdd\u8bc1\u5c3d\u53ef\u80fd\u5730\u63d0\u53d6\u4fe1\u606f\uff0c\u5982\u679c\u60f3\u8981\u8fbe\u5230100%\u51c6\u786e\u7387\u7684\u8bdd\uff0c\u6700\u597d\u5728\u5339\u914d\u5b8c\u540e\u518d\u4eba\u5de5\u6838\u9a8c\u4e00\u4e0b\n\n- \u81ea\u5e26\u5b8c\u6574\u7684\u7701\uff0c\u5e02\uff0c\u533a\u4e09\u7ea7\u5730\u540d\u53ca\u5176\u7ecf\u7eac\u5ea6\u7684\u6570\u636e\n\n- \u652f\u6301\u81ea\u5b9a\u4e49\u7701\uff0c\u5e02\uff0c\u533a\u6620\u5c04\n\n- \u8f93\u51fa\u7684\u662f\u57fa\u4e8epandas\u7684DataFrame\u7c7b\u578b\u7684\u8868\u7ed3\u6784\uff0c\u6613\u4e8e\u7406\u89e3\u548c\u4f7f\u7528\n\n- \u5c01\u88c5\u4e86\u7b80\u5355\u7684\u7ed8\u56fe\u529f\u80fd\uff0c\u53ef\u4ee5\u5f88\u65b9\u4fbf\u5730\u8fdb\u884c\u7b80\u5355\u7684\u6570\u636e\u53ef\u89c6\u5316\n\n- MIT \u6388\u6743\u534f\u8bae\n\n\u5b89\u88c5\u8bf4\u660e\n========\n\n\u4ee3\u7801\u76ee\u524d\u4ec5\u4ec5\u652f\u6301python3\n\n pip install cpca\n\nGet Started\n============\n\n\u672c\u6a21\u5757\u4e2d\u6700\u4e3b\u8981\u7684\u65b9\u6cd5\u662fcpca.transform,\n\u8be5\u65b9\u6cd5\u53ef\u4ee5\u8f93\u5165\u4efb\u610f\u7684\u53ef\u8fed\u4ee3\u7c7b\u578b\uff08\u5982list\uff0cpandas\u7684Series\u7c7b\u578b\u7b49\uff09\uff0c\n\u7136\u540e\u5c06\u5176\u8f6c\u6362\u4e3a\u4e00\u4e2aDataFrame\uff0c\u4e0b\u9762\u6f14\u793a\u4e00\u4e2a\u6700\u4e3a\u7b80\u5355\u7684\u4f7f\u7528\u65b9\u6cd5::\n\n location_str = [\"\u5f90\u6c47\u533a\u8679\u6f15\u8def461\u53f758\u53f7\u697c5\u697c\", \"\u6cc9\u5dde\u5e02\u6d1b\u6c5f\u533a\u4e07\u5b89\u5858\u897f\u5de5\u4e1a\u533a\", \"\u671d\u9633\u533a\u5317\u82d1\u534e\u8d38\u57ce\"]\n from cpca import *\n df = transform(location_str)\n df\n\n\n\u8f93\u51fa\u7684\u7ed3\u679c\u4e3a::\n\n \u533a \u5e02 \u7701 \u5730\u5740\n 0 \u5f90\u6c47\u533a \u4e0a\u6d77\u5e02 \u4e0a\u6d77\u5e02 \u8679\u6f15\u8def461\u53f758\u53f7\u697c5\u697c\n 1 \u6d1b\u6c5f\u533a \u6cc9\u5dde\u5e02 \u798f\u5efa\u7701 \u4e07\u5b89\u5858\u897f\u5de5\u4e1a\u533a\n 2 \u671d\u9633\u533a \u5317\u4eac\u5e02 \u5317\u4eac\u5e02 \u5317\u82d1\u534e\u8d38\u57ce\n\n**\u5168\u6587\u6a21\u5f0f**\uff1a\n\njieba\u5206\u8bcd\u5e76\u4e0d\u80fd\u767e\u5206\u4e4b\u767e\u4fdd\u8bc1\u5206\u8bcd\u7684\u6b63\u786e\u6027\uff0c\u5728\u5206\u8bcd\u9519\u8bef\u7684\u60c5\u51b5\u4e0b\u4f1a\u9020\u6210\u5947\u602a\u7684\u7ed3\u679c\uff0c\u6bd4\u5982\u4e0b\u9762::\n\n location_str = [\"\u6d59\u6c5f\u7701\u676d\u5dde\u5e02\u4e0b\u57ce\u533a\u9752\u4e91\u885740\u53f73\u697c\",\"\u5e7f\u4e1c\u7701\u4e1c\u839e\u5e02\u839e\u57ce\u533a\u4e1c\u839e\u5927\u9053\u6d77\u96c5\u767e\u8d27\"]\n from cpca import *\n df = transform(location_str)\n df\n\n\u8f93\u51fa\u7684\u7ed3\u679c\u4e3a::\n\n \u533a \u5e02 \u7701 \u5730\u5740\n \u57ce\u533a \u4e1c\u839e\u5e02 \u5e7f\u4e1c\u7701 \u839e\u5927\u9053\u6d77\u96c5\u767e\u8d27\u81ea\u7136\u5802\u4e13\u67dc\n \u57ce\u533a \u676d\u5dde\u5e02 \u6d59\u6c5f\u7701 \u4e0b\u9752\u4e91\u885740\u53f73\u697c\n\n\u8fd9\u79cd\u8be1\u5f02\u7684\u7ed3\u679c\u56e0\u4e3ajieba\u672c\u8eab\u5c31\u5c06\u8bcd\u7ed9\u5206\u9519\u4e86\uff0c\u6240\u4ee5\u6211\u4eec\u5f15\u5165\u4e86\u5168\u6587\u6a21\u5f0f\uff0c\u4e0d\u8fdb\u884c\u5206\u8bcd\uff0c\u76f4\u63a5\u5168\u6587\u5339\u914d\uff0c\u4f7f\u7528\u65b9\u6cd5\u5982\u4e0b::\n\n location_str = [\"\u6d59\u6c5f\u7701\u676d\u5dde\u5e02\u4e0b\u57ce\u533a\u9752\u4e91\u885740\u53f73\u697c\",\"\u5e7f\u4e1c\u7701\u4e1c\u839e\u5e02\u839e\u57ce\u533a\u4e1c\u839e\u5927\u9053\u6d77\u96c5\u767e\u8d27\"]\n from cpca import *\n df = transform(location_str, cut=False)\n df\n\n\u8f93\u51fa\u7ed3\u679c::\n\n \u533a \u5e02 \u7701 \u5730\u5740\n \u4e0b\u57ce\u533a \u676d\u5dde\u5e02 \u6d59\u6c5f\u7701 \u9752\u4e91\u885740\u53f73\u697c\n \u839e\u57ce\u533a \u4e1c\u839e\u5e02 \u5e7f\u4e1c\u7701 \u5927\u9053\u6d77\u96c5\u767e\u8d27\n\n\u8fd9\u4e9b\u5c31\u5b8c\u5168\u6b63\u786e\u4e86\uff0c\u4e0d\u8fc7\u5168\u6587\u5339\u914d\u6a21\u5f0f\u4f1a\u9020\u6210\u6548\u7387\u4f4e\u4e0b\uff0c\u6211\u9ed8\u8ba4\u4f1a\u5411\u524d\u770b8\u4e2a\u5b57\u7b26(\u5bf9\u5e94transform\u4e2d\u7684lookahead\u53c2\u6570\u9ed8\u8ba4\u503c\u4e3a8)\uff0c\u8fd9\u4e2a\u662f\u6bd4\u8f83\u4fdd\u5b88\u7684\uff0c\u56e0\u4e3a\u6709\u7684\u5730\u540d\u4f1a\u6bd4\u8f83\u957f\uff08\u6bd4\u5982\u201c\u65b0\u7586\u7ef4\u543e\u5c14\u65cf\u81ea\u6cbb\u533a\u201d\uff09\uff0c\u5982\u679c\u4f60\u7684\u5730\u5740\u5e93\u4e2d\u90fd\u662f\u4e9b\u77ed\u5c0f\u7684\u7701\u5e02\u533a\u540d\u7684\u8bdd\uff0c\u53ef\u4ee5\u9009\u62e9\u5c06lookahead\u8bbe\u7f6e\u5f97\u5c0f\u4e00\u70b9\uff0c\u6bd4\u5982::\n\n location_str = [\"\u6d59\u6c5f\u7701\u676d\u5dde\u5e02\u4e0b\u57ce\u533a\u9752\u4e91\u885740\u53f73\u697c\",\"\u5e7f\u4e1c\u7701\u4e1c\u839e\u5e02\u839e\u57ce\u533a\u4e1c\u839e\u5927\u9053\u6d77\u96c5\u767e\u8d27\"]\n from cpca import *\n df = transform(location_str, cut=False, lookahead=3)\n df\n\n\u8f93\u51fa\u7ed3\u679c\u4e0e\u4e0a\u9762\u4e00\u6837\u3002\n\n\n\u5982\u679c\u8fd8\u60f3\u77e5\u9053\u66f4\u591a\u7684\u7ec6\u8282\uff0c\u8bf7\u8bbf\u95ee\u8be5\n\u6a21\u5757\u7684github\u5730\u5740 `https://github.com/DQinYuan/chinese_province_city_area_mapper `_\uff0c\n\u5728\u90a3\u91cc\u6211\u5199\u4e86\u66f4\u591a\u7684\u7ec6\u8282.\n\n\n\n", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/LanjiaoGong/chinese_province_city_area_mapper", "keywords": "Simplified Chinese,Chinese geographic information,Chinese province city and area recognition and map", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "cpca-fix", "package_url": "https://pypi.org/project/cpca-fix/", "platform": "", "project_url": "https://pypi.org/project/cpca-fix/", "project_urls": { "Homepage": 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