{"id":2826,"date":"2023-07-20T12:54:32","date_gmt":"2023-07-20T12:54:32","guid":{"rendered":"https:\/\/statorials.org\/cn\/python-%e7%b4%af%e7%a7%af%e5%b9%b3%e5%9d%87%e5%80%bc\/"},"modified":"2023-07-20T12:54:32","modified_gmt":"2023-07-20T12:54:32","slug":"python-%e7%b4%af%e7%a7%af%e5%b9%b3%e5%9d%87%e5%80%bc","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/python-%e7%b4%af%e7%a7%af%e5%b9%b3%e5%9d%87%e5%80%bc\/","title":{"rendered":"\u5982\u4f55\u7528 python \u8ba1\u7b97\u7d2f\u79ef\u5e73\u5747\u503c"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u7d2f\u79ef\u5e73\u5747\u503c<\/strong>\u544a\u8bc9\u6211\u4eec\u622a\u81f3\u67d0\u4e00\u70b9\u7684\u4e00\u7cfb\u5217\u503c\u7684\u5e73\u5747\u503c\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u6765\u8ba1\u7b97 pandas DataFrame \u7684\u5217\u4e2d\u503c\u7684\u7d2f\u79ef\u5e73\u5747\u503c\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df[' <span style=\"color: #ff0000;\">column_name<\/span> ']. <span style=\"color: #3366ff;\">expanding<\/span> (). <span style=\"color: #3366ff;\">mean<\/span> ()<\/strong><\/pre>\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<h3><span style=\"color: #000000;\"><strong>\u793a\u4f8b\uff1a\u7528 Python \u8ba1\u7b97\u7d2f\u79ef\u5e73\u5747\u503c<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b pandas DataFrame\uff0c\u663e\u793a\u5546\u5e97\u8fde\u7eed 16 \u5929\u7684\u603b\u9500\u552e\u989d\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#createDataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">day<\/span> ': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16],\n                   ' <span style=\"color: #ff0000;\">sales<\/span> ': [3, 6, 0, 2, 4, 1, 0, 1, 4, 7, 3, 3, 8, 3, 5, 5]})\n\n<span style=\"color: #008080;\">#view first five rows of DataFrame\n<\/span>df. <span style=\"color: #3366ff;\">head<\/span> ()\n\n\tday sales\n0 1 3\n1 2 6\n2 3 0\n3 4 2\n4 5 4<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u6765\u8ba1\u7b97\u9500\u552e\u989d\u5217\u7684\u8fd0\u884c\u5e73\u5747\u503c\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate average of 'sales' column\n<\/span>df[' <span style=\"color: #ff0000;\">sales<\/span> ']. <span style=\"color: #3366ff;\">expanding<\/span> (). <span style=\"color: #3366ff;\">mean<\/span> ()\n\n0 3.000000\n1 4.500000\n2 3.000000\n3 2.750000\n4 3.000000\n5 2.666667\n6 2.285714\n7 2.125000\n8 2.333333\n9 2.800000\n10 2.818182\n11 2.833333\n12 3.230769\n13 3.214286\n14 3.333333\n15 3.437500\nName: sales, dtype: float64\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u6211\u4eec\u5c06\u7d2f\u79ef\u5e73\u5747\u503c\u89e3\u91ca\u4e3a\uff1a<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u9996\u6b21\u9500\u552e\u7684\u7d2f\u8ba1\u5e73\u5747\u503c\u4e3a<strong>3<\/strong> \u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u524d\u4e24\u6b21\u9500\u552e\u503c\u7684\u7d2f\u8ba1\u5e73\u5747\u503c\u4e3a<strong>4.5<\/strong> \u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u524d\u4e09\u4e2a\u9500\u552e\u503c\u7684\u7d2f\u8ba1\u5e73\u5747\u503c\u4e3a<strong>3<\/strong> \u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u524d\u56db\u6b21\u9500\u552e\u503c\u7684\u7d2f\u8ba1\u5e73\u5747\u503c\u4e3a<strong>2.75<\/strong> \u3002<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #000000;\">\u7b49\u7b49\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\">\u8bf7\u6ce8\u610f\uff0c\u60a8\u8fd8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u5c06\u7d2f\u79ef\u5e73\u5747\u9500\u552e\u503c\u6dfb\u52a0\u4e3a DataFrame \u4e2d\u7684\u65b0\u5217\uff1a<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#add cumulative average sales as new column\n<\/span>df[' <span style=\"color: #ff0000;\">cum_avg_sales<\/span> '] = df[' <span style=\"color: #ff0000;\">sales<\/span> ']. <span style=\"color: #3366ff;\">expanding<\/span> (). <span style=\"color: #3366ff;\">mean<\/span> ()\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span>df\n\n\tday sales cum_avg_sales\n0 1 3 3.000000\n1 2 6 4.500000\n2 3 0 3.000000\n3 4 2 2.750000\n4 5 4 3.000000\n5 6 1 2.666667\n6 7 0 2.285714\n7 8 1 2.125000\n8 9 4 2.333333\n9 10 7 2.800000\n10 11 3 2.818182\n11 12 3 2.833333\n12 13 8 3.230769\n13 14 3 3.214286\n14 15 5 3.333333\n15 16 5 3.437500\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>cum_avg_sales<\/strong>\u5217\u663e\u793a\u201csales\u201d\u5217\u4e2d\u503c\u7684\u7d2f\u79ef\u5e73\u5747\u503c\u3002<\/span><\/p>\n<h3><span style=\"color: #000000;\"><strong>\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u4ee5\u4e0b\u6559\u7a0b\u89e3\u91ca\u4e86\u5982\u4f55\u5728 Python \u4e2d\u8ba1\u7b97\u5176\u4ed6\u5e38\u89c1\u6307\u6807\uff1a<\/span><\/p>\n<p><a href=\"https:\/\/statorials.org\/cn\/python\u4e2d\u7684\u4e2d\u7b49\u5927\u5c0f\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u5728 Python \u4e2d\u8ba1\u7b97\u622a\u5c3e\u5e73\u5747\u503c<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u51e0\u4f55\u5e73\u5747\u87d2\u86c7\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u7528 Python \u8ba1\u7b97\u51e0\u4f55\u5e73\u5747\u503c<\/a><br \/><a href=\"https:\/\/statorials.org\/cn\/\u79fb\u52a8\u5e73\u5747\u7ebf-python\/\" target=\"_blank\" rel=\"noopener\">\u5982\u4f55\u7528 Python \u8ba1\u7b97\u79fb\u52a8\u5e73\u5747\u7ebf<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u7d2f\u79ef\u5e73\u5747\u503c\u544a\u8bc9\u6211\u4eec\u622a\u81f3\u67d0\u4e00\u70b9\u7684\u4e00\u7cfb\u5217\u503c\u7684\u5e73\u5747\u503c\u3002 \u60a8\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u8bed\u6cd5\u6765\u8ba1\u7b97 pandas DataFrame  [&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-2826","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - 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