{"id":1172,"date":"2023-07-27T10:11:54","date_gmt":"2023-07-27T10:11:54","guid":{"rendered":"https:\/\/statorials.org\/cn\/pandas%e7%9b%b8%e5%85%b3%e8%bd%b4%e6%89%bf\/"},"modified":"2023-07-27T10:11:54","modified_gmt":"2023-07-27T10:11:54","slug":"pandas%e7%9b%b8%e5%85%b3%e8%bd%b4%e6%89%bf","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/pandas%e7%9b%b8%e5%85%b3%e8%bd%b4%e6%89%bf\/","title":{"rendered":"\u5982\u4f55\u8ba1\u7b97 pandas \u4e2d\u7684\u6eda\u52a8\u76f8\u5173\u6027\uff1a\u4e3e\u4f8b"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u6eda\u52a8\u76f8\u5173\u6027<\/strong>\u662f\u6ed1\u52a8\u7a97\u53e3\u4e0a\u4e24\u4e2a\u65f6\u95f4\u5e8f\u5217\u4e4b\u95f4\u7684\u76f8\u5173\u6027\u3002\u8fd9\u79cd\u7c7b\u578b\u7684\u76f8\u5173\u6027\u7684\u597d\u5904\u4e4b\u4e00\u662f\u60a8\u53ef\u4ee5\u53ef\u89c6\u5316\u4e24\u4e2a\u65f6\u95f4\u5e8f\u5217\u4e4b\u95f4\u968f\u65f6\u95f4\u7684\u76f8\u5173\u6027\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u672c\u6559\u7a0b\u4ecb\u7ecd\u5982\u4f55\u5728 Python \u4e2d\u8ba1\u7b97\u548c\u53ef\u89c6\u5316 pandas DataFrame \u7684\u6eda\u52a8\u76f8\u5173\u6027\u3002<\/span><\/p>\n<h3><strong>\u5982\u4f55\u8ba1\u7b97 pandas \u4e2d\u7684\u6eda\u52a8\u76f8\u5173\u6027<\/strong><\/h3>\n<p><span style=\"color: #000000;\">\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b\u6570\u636e\u6846\uff0c\u663e\u793a 15 \u4e2a\u6708\u5185\u4e24\u79cd\u4e0d\u540c\u4ea7\u54c1\uff08 <em>x<\/em>\u548c<em>y<\/em> \uff09\u9500\u552e\u7684\u4ea7\u54c1\u603b\u6570\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd<\/span>\n<span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np<\/span>\n\n#createDataFrame<\/span>\ndf = pd.DataFrame({'month': np. <span style=\"color: #3366ff;\">arange<\/span> (1, 16),\n                   'x': [13, 15, 16, 15, 17, 20, 22, 24, 25, 26, 23, 24, 23, 22, 20],\n                   'y': [22, 24, 23, 27, 26, 26, 27, 30, 33, 32, 27, 25, 28, 26, 28]})\n\n<span style=\"color: #008080;\">#view first six rows\n<\/span>df. <span style=\"color: #3366ff;\">head<\/span> ()\n\n  month xy\n1 1 13 22\n2 2 15 24\n3 3 16 23\n4 4 15 27\n5 5 17 26\n6 6 20 26<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u8981\u8ba1\u7b97 pandas \u4e2d\u7684\u6eda\u52a8\u76f8\u5173\u6027\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.core.window.rolling.Rolling.corr.html\" target=\"_blank\" rel=\"noopener noreferrer\">Rolling.corr() \u51fd\u6570<\/a>\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8be5\u51fd\u6570\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\uff1a<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>df[&#8216;x&#8217;].rolling(width).corr(df[&#8216;y&#8217;])<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">\u91d1\u5b50\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>df\uff1a<\/strong>\u6570\u636e\u6846\u540d\u79f0<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>width\uff1a<\/strong>\u6307\u5b9a\u6ed1\u52a8\u76f8\u5173\u7a97\u53e3\u5bbd\u5ea6\u7684\u6574\u6570<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>x, y:<\/strong>\u8ba1\u7b97\u6ed1\u52a8\u76f8\u5173\u6027\u7684\u4e24\u4e2a\u5217\u540d<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u662f\u5982\u4f55\u4f7f\u7528\u6b64\u51fd\u6570\u8ba1\u7b97\u4ea7\u54c1<em>x<\/em>\u548c\u4ea7\u54c1<em>y<\/em>\u4e4b\u95f4\u9500\u552e\u989d\u7684 3 \u4e2a\u6708\u6eda\u52a8\u76f8\u5173\u6027\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate 3-month rolling correlation between sales for <em>x<\/em> and <em>y<\/em><\/span>\ndf[' <span style=\"color: #008000;\">x<\/span> ']. <span style=\"color: #3366ff;\">rolling<\/span> (3). <span style=\"color: #3366ff;\">corr<\/span> (df[' <span style=\"color: #008000;\">y<\/span> '])\n\n0 NaN\n1 NaN\n2 0.654654\n3 -0.693375\n4 -0.240192\n5 -0.802955\n6 0.802955\n7 0.960769\n8 0.981981\n9 0.654654\n10 0.882498\n11 0.817057\n12 -0.944911\n13 -0.327327\n14 -0.188982\ndtype:float64\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6b64\u51fd\u6570\u8fd4\u56de\u8fc7\u53bb 3 \u4e2a\u6708\u4e24\u79cd\u4ea7\u54c1\u9500\u552e\u989d\u4e4b\u95f4\u7684\u76f8\u5173\u6027\u3002\u4f8b\u5982\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u7b2c 1-3 \u4e2a\u6708\u9500\u552e\u989d\u7684\u76f8\u5173\u6027\u4e3a<strong>0.654654<\/strong> \u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u7b2c 2-4 \u4e2a\u6708\u7684\u9500\u552e\u76f8\u5173\u6027\u4e3a<strong>-0.693375\u3002<\/strong><\/span><\/li>\n<li><span style=\"color: #000000;\">\u7b2c 3-5 \u4e2a\u6708\u7684\u9500\u552e\u76f8\u5173\u6027\u4e3a<strong>-0.240192\u3002<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u7b49\u7b49\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u8c03\u6574\u8fd9\u4e2a\u516c\u5f0f\u6765\u8ba1\u7b97\u4e0d\u540c\u65f6\u95f4\u6bb5\u7684\u6eda\u52a8\u76f8\u5173\u6027\u3002\u4f8b\u5982\uff0c\u4ee5\u4e0b\u4ee3\u7801\u663e\u793a\u4e86\u5982\u4f55\u8ba1\u7b97\u4e24\u4e2a\u4ea7\u54c1\u4e4b\u95f4\u7684 6 \u4e2a\u6708\u9500\u552e\u989d\u6eda\u52a8\u76f8\u5173\u6027\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate 6-month rolling correlation between sales for <em>x<\/em> and <em>y<\/em><\/span>\ndf[' <span style=\"color: #008000;\">x<\/span> ']. <span style=\"color: #3366ff;\">rolling<\/span> (6). <span style=\"color: #3366ff;\">corr<\/span> (df[' <span style=\"color: #008000;\">y<\/span> ']) \n0 NaN\n1 NaN\n2 NaN\n3 NaN\n4 NaN\n5 0.558742\n6 0.485855\n7 0.693103\n8 0.756476\n9 0.895929\n10 0.906772\n11 0.715542\n12 0.717374\n13 0.768447\n14 0.454148\ndtype:float64\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6b64\u51fd\u6570\u8fd4\u56de\u8fc7\u53bb 6 \u4e2a\u6708\u5185\u4e24\u79cd\u4ea7\u54c1\u9500\u552e\u989d\u4e4b\u95f4\u7684\u76f8\u5173\u6027\u3002\u4f8b\u5982\uff1a<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">1-6 \u6708\u4efd\u9500\u552e\u989d\u7684\u76f8\u5173\u6027\u4e3a<strong>0.558742<\/strong> \u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u7b2c 2-7 \u4e2a\u6708\u7684\u9500\u552e\u76f8\u5173\u6027\u4e3a<strong>0.485855\u3002<\/strong><\/span><\/li>\n<li><span style=\"color: #000000;\">\u7b2c 3-8 \u4e2a\u6708\u7684\u9500\u552e\u76f8\u5173\u6027\u4e3a<strong>0.693103\u3002<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u7b49\u7b49\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u8bc4\u8bba<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u662f\u6709\u5173\u8fd9\u4e9b\u793a\u4f8b\u4e2d\u4f7f\u7528\u7684\u51fd\u6570\u7684\u4e00\u4e9b\u6ce8\u91ca\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\"><strong>\u5bbd\u5ea6<\/strong>\uff08\u5373\u4e0b\u62c9\u7a97\u53e3\uff09\u5fc5\u987b\u7b49\u4e8e\u6216\u5927\u4e8e 3 \u624d\u80fd\u8ba1\u7b97\u76f8\u5173\u6027\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5<a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.core.window.rolling.Rolling.corr.html\" target=\"_blank\" rel=\"noopener noreferrer\">\u5728\u6b64\u5904<\/a>\u627e\u5230 Rolling.corr() \u51fd\u6570\u7684\u5b8c\u6574\u6587\u6863\u3002<\/span><\/li>\n<\/ul>\n<h3><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n<p><a href=\"https:\/\/statorials.org\/cn\/r\u4e2d\u7684\u6eda\u52a8\u76f8\u5173\u6027\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u5982\u4f55\u8ba1\u7b97R\u4e2d\u7684\u6ed1\u52a8\u76f8\u5173\u6027<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u6eda\u52a8\u76f8\u5173\u6027excel\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u5982\u4f55\u5728 Excel \u4e2d\u8ba1\u7b97\u6eda\u52a8\u76f8\u5173\u6027<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6eda\u52a8\u76f8\u5173\u6027\u662f\u6ed1\u52a8\u7a97\u53e3\u4e0a\u4e24\u4e2a\u65f6\u95f4\u5e8f\u5217\u4e4b\u95f4\u7684\u76f8\u5173\u6027\u3002\u8fd9\u79cd\u7c7b\u578b\u7684\u76f8\u5173\u6027\u7684\u597d\u5904\u4e4b\u4e00\u662f\u60a8\u53ef\u4ee5\u53ef\u89c6\u5316\u4e24\u4e2a\u65f6\u95f4\u5e8f\u5217\u4e4b\u95f4\u968f\u65f6\u95f4 [&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-1172","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>\u5982\u4f55\u8ba1\u7b97 pandas \u4e2d\u7684\u6eda\u52a8\u76f8\u5173\u6027\uff1a\u4e3e\u4f8b<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u4e00\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 Python \u4e2d\u8ba1\u7b97 pandas DataFrame \u7684\u6ed1\u52a8\u76f8\u5173\u6027\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/cn\/pandas\u76f8\u5173\u8f74\u627f\/\" \/>\n<meta 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