{"id":3782,"date":"2023-07-15T14:20:20","date_gmt":"2023-07-15T14:20:20","guid":{"rendered":"https:\/\/statorials.org\/cn\/pandas-%e4%bb%8e%e6%97%a5%e6%9c%9f%e8%8e%b7%e5%8f%96%e4%b8%80%e5%b9%b4%e4%b8%ad%e7%9a%84%e7%ac%ac%e5%87%a0%e5%a4%a9\/"},"modified":"2023-07-15T14:20:20","modified_gmt":"2023-07-15T14:20:20","slug":"pandas-%e4%bb%8e%e6%97%a5%e6%9c%9f%e8%8e%b7%e5%8f%96%e4%b8%80%e5%b9%b4%e4%b8%ad%e7%9a%84%e7%ac%ac%e5%87%a0%e5%a4%a9","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/pandas-%e4%bb%8e%e6%97%a5%e6%9c%9f%e8%8e%b7%e5%8f%96%e4%b8%80%e5%b9%b4%e4%b8%ad%e7%9a%84%e7%ac%ac%e5%87%a0%e5%a4%a9\/","title":{"rendered":"Pandas\uff1a\u5982\u4f55\u4ece\u65e5\u671f\u83b7\u53d6\u4e00\u5e74\u4e2d\u7684\u67d0\u4e00\u5929"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u57fa\u672c\u8bed\u6cd5\u4ece pandas DataFrame \u4e2d\u7684\u65e5\u671f\u5217\u83b7\u53d6\u4e00\u5e74\u4e2d\u7684\u67d0\u4e00\u5929\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #3366ff;\"><span style=\"color: #000000;\">df[' <span style=\"color: #ff0000;\">day_of_year<\/span> '] = df[' <span style=\"color: #ff0000;\">date<\/span> ']. <span style=\"color: #3366ff;\">dt<\/span> . <span style=\"color: #3366ff;\">dayofyear<\/span><\/span>\n<\/span><\/strong><\/pre>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\">\u6b64\u7279\u5b9a\u793a\u4f8b\u521b\u5efa\u4e00\u4e2a\u540d\u4e3a<strong>day_of_year<\/strong>\u7684\u65b0\u5217\uff0c\u5176\u4e2d\u5305\u542b<strong>\u65e5\u671f<\/strong>\u5217\u4e2d\u7684\u503c\u6240\u5728\u5e74\u4efd\u7684\u7b2c\u51e0\u5929\u3002<\/span><\/span><\/p>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c <strong>day_of_year<\/strong>\u503c\u7684\u8303\u56f4\u4e3a 1\uff081 \u6708 1 \u65e5\uff09\u5230 365\uff0812 \u6708 31 \u65e5\uff09\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5728\u5b9e\u8df5\u4e2d\u4f7f\u7528\u6b64\u8bed\u6cd5\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u793a\u4f8b\uff1a\u4ece Pandas \u4e2d\u7684\u65e5\u671f\u83b7\u53d6\u4e00\u5e74\u4e2d\u7684\u67d0\u4e00\u5929<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b pandas DataFrame\uff0c\u5176\u4e2d\u5305\u542b\u6709\u5173\u5546\u5e97\u5728\u4e0d\u540c\u65e5\u671f\u7684\u603b\u9500\u552e\u989d\u7684\u4fe1\u606f\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame<\/span>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">date<\/span> ': <span style=\"color: #3366ff;\">pd.date_range<\/span> (start=' <span style=\"color: #ff0000;\">1\/1\/2022<\/span> ', freq=' <span style=\"color: #ff0000;\">M<\/span> ', periods= <span style=\"color: #008000;\">10<\/span> ),\n                   ' <span style=\"color: #ff0000;\">sales<\/span> ': [6, 8, 10, 5, 4, 8, 8, 3, 5, 14]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n         dirty date\n0 2022-01-31 6\n1 2022-02-28 8\n2 2022-03-31 10\n3 2022-04-30 5\n4 2022-05-31 4\n5 2022-06-30 8\n6 2022-07-31 8\n7 2022-08-31 3\n8 2022-09-30 5\n9 2022-10-31 14\n<\/strong><\/span><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u76f8\u5173\uff1a<\/strong><a href=\"https:\/\/statorials.org\/cn\/\u718a\u732b\u65e5\u671f\u8303\u56f4\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 Pandas \u4e2d\u521b\u5efa\u65e5\u671f\u8303\u56f4<\/a><\/span><\/p>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u521b\u5efa\u4e00\u4e2a\u540d\u4e3a<b>day_of_year<\/b>\u7684\u65b0\u5217\uff0c\u5176\u4e2d\u5305\u542b<strong>\u65e5\u671f<\/strong>\u5217\u4e2d\u7684\u4e00\u5e74\u4e2d\u7684\u7b2c\u51e0\u5929\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <b><span style=\"color: #008080;\">#create new column that contains day of year in 'date' column\n<span style=\"color: #000000;\">df[' <span style=\"color: #ff0000;\">day_of_year<\/span> '] = df[' <span style=\"color: #ff0000;\">date<\/span> ']. <span style=\"color: #3366ff;\">dt<\/span> . <span style=\"color: #3366ff;\">dayofyear\n<\/span><\/span><\/span>\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #000000;\"><span style=\"color: #008000;\">print<\/span> (df)\n\n        date sales day_of_year\n0 2022-01-31 6 31\n1 2022-02-28 8 59\n2 2022-03-31 10 90\n3 2022-04-30 5 120\n4 2022-05-31 4 151\n5 2022-06-30 8,181\n6 2022-07-31 8,212\n7 2022-08-31 3,243\n8 2022-09-30 5,273\n9 2022-10-31 14,304<\/span><\/b><\/pre>\n<p><span style=\"color: #000000;\">\u540d\u4e3a<b>day_of_year<\/b>\u7684\u65b0\u5217\u5305\u542b<strong>\u65e5\u671f<\/strong>\u5217\u4e00\u5e74\u4e2d\u7684\u7b2c\u51e0\u5929\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u5e94\u8be5\u6ce8\u610f\u7684\u662f\uff0c\u5982\u679c\u60a8\u4f7f\u7528\u7684\u662f\u95f0\u5e74\uff0c\u6b64\u51fd\u6570\u4f1a\u81ea\u52a8\u5c06\u53ef\u80fd\u503c\u7684\u8303\u56f4\u4ece 365 \u6269\u5c55\u5230 366\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u53e6\u8bf7\u6ce8\u610f\uff0c\u5982\u679c\u60a8\u6b63\u5728\u4f7f\u7528\u7684\u5217\u662f\u5b57\u7b26\u4e32\u5217\uff0c\u5219\u5fc5\u987b\u9996\u5148\u4f7f\u7528<strong>pd.to_datetime()<\/strong>\u5c06\u5b57\u7b26\u4e32\u8f6c\u6362\u4e3a\u53ef\u8bc6\u522b\u7684\u65e5\u671f\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <b><span style=\"color: #008080;\">#convert string column to datetime and calculate day of year\n<span style=\"color: #000000;\">df[' <span style=\"color: #ff0000;\">day_of_year<\/span> '] = pd. <span style=\"color: #3366ff;\">to_datetime<\/span> (df[' <span style=\"color: #ff0000;\">date<\/span> ']). <span style=\"color: #3366ff;\">dt<\/span> . <span style=\"color: #3366ff;\">dayofyear<\/span><\/span>\n<\/span><\/b><\/pre>\n<p><span style=\"color: #000000;\"><strong>\u6ce8\u610f<\/strong>\uff1a\u60a8\u53ef\u4ee5<a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.Period.dayofyear.html\" target=\"_blank\" rel=\"noopener\">\u5728\u6b64\u5904<\/a>\u627e\u5230 pandas <strong>dayofyear<\/strong>\u51fd\u6570\u7684\u5b8c\u6574\u6587\u6863\u3002<\/span><\/p>\n<h2><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h2>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 pandas \u4e2d\u6267\u884c\u5176\u4ed6\u5e38\u89c1\u64cd\u4f5c\uff1a<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/cn\/\u4ece\u718a\u732b\u65e5\u671f\u4e2d\u6dfb\u52a0\u51cf\u53bb\u5929\u6570\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 Pandas \u4e2d\u6dfb\u52a0\u548c\u51cf\u53bb\u65e5\u671f\u4e2d\u7684\u5929\u6570<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/pandas-\u9009\u62e9\u4e24\u4e2a\u65e5\u671f\u4e4b\u95f4\u7684\u884c\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 Pandas \u4e2d\u9009\u62e9\u4e24\u4e2a\u65e5\u671f\u4e4b\u95f4\u7684\u884c<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/pandas-\u4ece\u5e74\u6708\u65e5\u521b\u5efa\u65e5\u671f\u5217\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 Pandas \u4e2d\u6839\u636e\u5e74\u3001\u6708\u3001\u65e5\u521b\u5efa\u65e5\u671f\u5217<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u57fa\u672c\u8bed\u6cd5\u4ece pandas DataFrame \u4e2d\u7684\u65e5\u671f\u5217\u83b7\u53d6\u4e00\u5e74\u4e2d\u7684\u67d0\u4e00\u5929\uff1a df[&#8216; day_ [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-3782","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Pandas\uff1a\u5982\u4f55\u4ece\u65e5\u671f\u83b7\u53d6\u4e00\u5e74\u4e2d\u7684\u7b2c\u51e0\u5929 - Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u4e00\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u4ece pandas \u4e2d\u7684\u65e5\u671f\u83b7\u53d6\u4e00\u5e74\u4e2d\u7684\u67d0\u4e00\u5929\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, 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