{"id":2569,"date":"2023-07-21T16:37:26","date_gmt":"2023-07-21T16:37:26","guid":{"rendered":"https:\/\/statorials.org\/ru\/%d1%81%d0%be%d0%b2%d0%be%d0%ba%d1%83%d0%bf%d0%bd%d1%8b%d0%b8-%d0%bf%d1%80%d0%be%d1%86%d0%b5%d0%bd%d1%82-%d0%bf%d0%b0%d0%bd%d0%b4\/"},"modified":"2023-07-21T16:37:26","modified_gmt":"2023-07-21T16:37:26","slug":"%d1%81%d0%be%d0%b2%d0%be%d0%ba%d1%83%d0%bf%d0%bd%d1%8b%d0%b8-%d0%bf%d1%80%d0%be%d1%86%d0%b5%d0%bd%d1%82-%d0%bf%d0%b0%d0%bd%d0%b4","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/%d1%81%d0%be%d0%b2%d0%be%d0%ba%d1%83%d0%bf%d0%bd%d1%8b%d0%b8-%d0%bf%d1%80%d0%be%d1%86%d0%b5%d0%bd%d1%82-%d0%bf%d0%b0%d0%bd%d0%b4\/","title":{"rendered":"\u041a\u0430\u043a \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0441\u043e\u0432\u043e\u043a\u0443\u043f\u043d\u044b\u0439 \u043f\u0440\u043e\u0446\u0435\u043d\u0442 \u0432 \u043f\u0430\u043d\u0434\u0430\u0445"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u0412\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0431\u0430\u0437\u043e\u0432\u044b\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u0434\u043b\u044f \u0440\u0430\u0441\u0447\u0435\u0442\u0430 \u0441\u043e\u0432\u043e\u043a\u0443\u043f\u043d\u043e\u0433\u043e \u043f\u0440\u043e\u0446\u0435\u043d\u0442\u0430 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u0432 \u0441\u0442\u043e\u043b\u0431\u0446\u0435 DataFrame pandas:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate cumulative sum of column\n<\/span>df[' <span style=\"color: #ff0000;\">cum_sum<\/span> '] = df[' <span style=\"color: #ff0000;\">col1<\/span> ']. <span style=\"color: #3366ff;\">cumsum<\/span> ()\n\n<span style=\"color: #008080;\">#calculate cumulative percentage of column (rounded to 2 decimal places)\n<\/span>df[' <span style=\"color: #ff0000;\">cum_percent<\/span> '] = round( <span style=\"color: #008000;\">100<\/span> *df. <span style=\"color: #3366ff;\">cum_sum<\/span> \/df[' <span style=\"color: #ff0000;\">col1<\/span> ']. <span style=\"color: #3366ff;\">sum<\/span> (), <span style=\"color: #008000;\">2<\/span> )\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u043c \u043f\u0440\u0438\u043c\u0435\u0440\u0435 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u043e, \u043a\u0430\u043a \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u044d\u0442\u043e\u0442 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0435.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0435\u0440: \u0432\u044b\u0447\u0438\u0441\u043b\u0438\u0442\u044c \u0441\u043e\u0432\u043e\u043a\u0443\u043f\u043d\u044b\u0439 \u043f\u0440\u043e\u0446\u0435\u043d\u0442 \u0441\u0440\u0435\u0434\u0438 \u043f\u0430\u043d\u0434<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u041f\u0440\u0435\u0434\u043f\u043e\u043b\u043e\u0436\u0438\u043c, \u0443 \u043d\u0430\u0441 \u0435\u0441\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 DataFrame pandas, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u0435\u0434\u0438\u043d\u0438\u0446 \u043f\u0440\u043e\u0434\u0443\u043a\u0446\u0438\u0438, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u044f \u043f\u0440\u043e\u0434\u0430\u0435\u0442 \u0437\u0430 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043b\u0435\u0442 \u043f\u043e\u0434\u0440\u044f\u0434:<\/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\n<span style=\"color: #008080;\">#createDataFrame\n<span style=\"color: #000000;\">df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">year<\/span> ': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],\n                   ' <span style=\"color: #ff0000;\">units_sold<\/span> ': [60, 75, 77, 87, 104, 134, 120, 125, 140, 150]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n   year units_sold\n0 1 60\n1 2 75\n2 3 77\n3 4 87\n4 5 104\n5 6 134\n6 7 120\n7 8 125\n8 9 140\n9 10 150\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\u0414\u0430\u043b\u0435\u0435 \u043c\u044b \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434, \u0447\u0442\u043e\u0431\u044b \u0434\u043e\u0431\u0430\u0432\u0438\u0442\u044c \u0441\u0442\u043e\u043b\u0431\u0435\u0446, \u043e\u0442\u043e\u0431\u0440\u0430\u0436\u0430\u044e\u0449\u0438\u0439 \u0441\u043e\u0432\u043e\u043a\u0443\u043f\u043d\u043e\u0435 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u043f\u0440\u043e\u0434\u0430\u043d\u043d\u044b\u0445 \u0435\u0434\u0438\u043d\u0438\u0446 \u0438 \u0441\u043e\u0432\u043e\u043a\u0443\u043f\u043d\u044b\u0439 \u043f\u0440\u043e\u0446\u0435\u043d\u0442 \u043f\u0440\u043e\u0434\u0430\u043d\u043d\u044b\u0445 \u0435\u0434\u0438\u043d\u0438\u0446:<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#calculate cumulative sum of units sold\n<\/span>df[' <span style=\"color: #ff0000;\">cum_sum<\/span> '] = df[' <span style=\"color: #ff0000;\">units_sold<\/span> ']. <span style=\"color: #3366ff;\">cumsum<\/span> ()\n\n<span style=\"color: #008080;\">#calculate cumulative percentage of units sold\n<\/span>df[' <span style=\"color: #ff0000;\">cum_percent<\/span> '] = round( <span style=\"color: #008000;\">100<\/span> *df. <span style=\"color: #3366ff;\">cum_sum<\/span> \/df[' <span style=\"color: #ff0000;\">units_sold<\/span> ']. <span style=\"color: #3366ff;\">sum<\/span> (), <span style=\"color: #008000;\">2<\/span> )\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n   year units_sold cum_sum cum_percent\n0 1 60 60 5.60\n1 2 75 135 12.59\n2 3 77 212 19.78\n3 4 87 299 27.89\n4 5 104 403 37.59\n5 6 134 537 50.09\n6 7 120 657 61.29\n7 8 125 782 72.95\n8 9 140 922 86.01\n9 10 150 1072 100.00\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041c\u044b \u0438\u043d\u0442\u0435\u0440\u043f\u0440\u0435\u0442\u0438\u0440\u0443\u0435\u043c \u0441\u043e\u0432\u043e\u043a\u0443\u043f\u043d\u044b\u0435 \u043f\u0440\u043e\u0446\u0435\u043d\u0442\u044b \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>5,60%<\/strong> \u0432\u0441\u0435\u0445 \u043f\u0440\u043e\u0434\u0430\u0436 \u0431\u044b\u043b\u043e \u043e\u0441\u0443\u0449\u0435\u0441\u0442\u0432\u043b\u0435\u043d\u043e \u0432 \u043f\u0435\u0440\u0432\u044b\u0439 \u0433\u043e\u0434.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>12,59<\/strong> \u0432\u0441\u0435\u0445 \u043f\u0440\u043e\u0434\u0430\u0436 \u043f\u0440\u0438\u0448\u043b\u043e\u0441\u044c \u043d\u0430 \u043f\u0435\u0440\u0432\u044b\u0439 \u0438 \u0432\u0442\u043e\u0440\u043e\u0439 \u0433\u043e\u0434\u044b \u0432\u043c\u0435\u0441\u0442\u0435 \u0432\u0437\u044f\u0442\u044b\u0435.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>19,78%<\/strong> \u0432\u0441\u0435\u0445 \u043f\u0440\u043e\u0434\u0430\u0436 \u0431\u044b\u043b\u043e \u0441\u043e\u0432\u0435\u0440\u0448\u0435\u043d\u043e \u0437\u0430 1, 2 \u0438 3 \u0433\u043e\u0434\u044b \u0432\u043c\u0435\u0441\u0442\u0435 \u0432\u0437\u044f\u0442\u044b\u0435.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u0418 \u0442\u0430\u043a \u0434\u0430\u043b\u0435\u0435.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041e\u0431\u0440\u0430\u0442\u0438\u0442\u0435 \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435, \u0447\u0442\u043e \u0432\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u043f\u0440\u043e\u0441\u0442\u043e \u0438\u0437\u043c\u0435\u043d\u0438\u0442\u044c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 \u0432 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 <strong>round()<\/strong> , \u0447\u0442\u043e\u0431\u044b \u0442\u0430\u043a\u0436\u0435 \u0438\u0437\u043c\u0435\u043d\u0438\u0442\u044c \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u043e\u0442\u043e\u0431\u0440\u0430\u0436\u0430\u0435\u043c\u044b\u0445 \u0434\u0435\u0441\u044f\u0442\u0438\u0447\u043d\u044b\u0445 \u0437\u043d\u0430\u043a\u043e\u0432.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u0432\u043c\u0435\u0441\u0442\u043e \u044d\u0442\u043e\u0433\u043e \u043c\u044b \u043c\u043e\u0433\u043b\u0438 \u0431\u044b \u043e\u043a\u0440\u0443\u0433\u043b\u0438\u0442\u044c \u0441\u043e\u0432\u043e\u043a\u0443\u043f\u043d\u044b\u0439 \u043f\u0440\u043e\u0446\u0435\u043d\u0442 \u0434\u043e \u043d\u0443\u043b\u044f \u043f\u043e\u0441\u043b\u0435 \u0437\u0430\u043f\u044f\u0442\u043e\u0439:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#calculate cumulative sum of units sold\n<\/span>df[' <span style=\"color: #ff0000;\">cum_sum<\/span> '] = df[' <span style=\"color: #ff0000;\">units_sold<\/span> ']. <span style=\"color: #3366ff;\">cumsum<\/span> ()\n\n<span style=\"color: #008080;\">#calculate cumulative percentage of units sold\n<\/span>df[' <span style=\"color: #ff0000;\">cum_percent<\/span> '] = round( <span style=\"color: #008000;\">100<\/span> *df. <span style=\"color: #3366ff;\">cum_sum<\/span> \/df[' <span style=\"color: #ff0000;\">units_sold<\/span> ']. <span style=\"color: #3366ff;\">sum<\/span> (), <span style=\"color: #008000;\">0<\/span> )\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n   year units_sold cum_sum cum_percent\n0 1 60 60 6.0\n1 2 75 135 13.0\n2 3 77 212 20.0\n3 4 87 299 28.0\n4 5 104 403 38.0\n5 6 134 537 50.0\n6 7 120 657 61.0\n7 8 125 782 73.0\n8 9 140 922 86.0\n9 10 150 1072 100.0<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0421\u043e\u0432\u043e\u043a\u0443\u043f\u043d\u044b\u0435 \u043f\u0440\u043e\u0446\u0435\u043d\u0442\u044b \u0442\u0435\u043f\u0435\u0440\u044c \u043e\u043a\u0440\u0443\u0433\u043b\u044f\u044e\u0442\u0441\u044f \u0434\u043e \u043d\u0443\u043b\u044f \u043f\u043e\u0441\u043b\u0435 \u0437\u0430\u043f\u044f\u0442\u043e\u0439.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u0414\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0440\u0435\u0441\u0443\u0440\u0441\u044b<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0445 \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0430\u0445 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0442\u044c \u0434\u0440\u0443\u0433\u0438\u0435 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u043d\u044b\u0435 \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0438 \u0432 Python:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ru\/\u0442\u0430\u0431\u043b\u0438\u0446\u044b-\u0447\u0430\u0441\u0442\u043e\u0442-python\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u0442\u0430\u0431\u043b\u0438\u0446\u044b \u0447\u0430\u0441\u0442\u043e\u0442 \u0432 Python<\/a><br \/> <a href=\"https:\/\/statorials.org\/ru\/\u043e\u0442\u043d\u043e\u0441\u0438\u0442\u0435\u043b\u044c\u043d\u0430\u044f-\u0447\u0430\u0441\u0442\u043e\u0442\u0430-\u043f\u0438\u0442\u043e\u043d\u0430\/\" target=\"_blank\" rel=\"noopener\">\u041a\u0430\u043a \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u043e\u0442\u043d\u043e\u0441\u0438\u0442\u0435\u043b\u044c\u043d\u0443\u044e \u0447\u0430\u0441\u0442\u043e\u0442\u0443 \u0432 Python<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0412\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0431\u0430\u0437\u043e\u0432\u044b\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u0434\u043b\u044f \u0440\u0430\u0441\u0447\u0435\u0442\u0430 \u0441\u043e\u0432\u043e\u043a\u0443\u043f\u043d\u043e\u0433\u043e \u043f\u0440\u043e\u0446\u0435\u043d\u0442\u0430 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u0432 \u0441\u0442\u043e\u043b\u0431\u0446\u0435 DataFrame pandas: #calculate cumulative sum of column df[&#8216; cum_sum &#8216;] = df[&#8216; col1 &#8216;]. cumsum () #calculate cumulative percentage of column (rounded to 2 decimal places) df[&#8216; cum_percent &#8216;] = round( 100 *df. cum_sum \/df[&#8216; col1 &#8216;]. sum (), 2 ) \u0412 [&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-2569","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>\u041a\u0430\u043a \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0441\u043e\u0432\u043e\u043a\u0443\u043f\u043d\u044b\u0439 \u043f\u0440\u043e\u0446\u0435\u043d\u0442 \u0432 \u043f\u0430\u043d\u0434\u0430\u0445 \u2013 \u0421\u0442\u0430\u0442\u043e\u0440\u0438\u0430\u043b\u044b<\/title>\n<meta name=\"description\" content=\"\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a 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