{"id":1168,"date":"2023-07-27T10:11:54","date_gmt":"2023-07-27T10:11:54","guid":{"rendered":"https:\/\/statorials.org\/ru\/%d0%ba%d0%be%d1%80%d1%80%d0%b5%d0%bb%d1%8f%d1%86%d0%b8%d0%be%d0%bd%d0%bd%d1%8b%d0%b8-%d0%bf%d0%be%d0%b4%d1%88%d0%b8%d0%bf%d0%bd%d0%b8%d0%ba-%d0%bf%d0%b0%d0%bd%d0%b4\/"},"modified":"2023-07-27T10:11:54","modified_gmt":"2023-07-27T10:11:54","slug":"%d0%ba%d0%be%d1%80%d1%80%d0%b5%d0%bb%d1%8f%d1%86%d0%b8%d0%be%d0%bd%d0%bd%d1%8b%d0%b8-%d0%bf%d0%be%d0%b4%d1%88%d0%b8%d0%bf%d0%bd%d0%b8%d0%ba-%d0%bf%d0%b0%d0%bd%d0%b4","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/%d0%ba%d0%be%d1%80%d1%80%d0%b5%d0%bb%d1%8f%d1%86%d0%b8%d0%be%d0%bd%d0%bd%d1%8b%d0%b8-%d0%bf%d0%be%d0%b4%d1%88%d0%b8%d0%bf%d0%bd%d0%b8%d0%ba-%d0%bf%d0%b0%d0%bd%d0%b4\/","title":{"rendered":"\u041a\u0430\u043a \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0441\u043a\u043e\u043b\u044c\u0437\u044f\u0449\u0443\u044e \u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u044e \u0432 \u043f\u0430\u043d\u0434\u0430\u0445: \u0441 \u043f\u0440\u0438\u043c\u0435\u0440\u0430\u043c\u0438"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u0421\u043a\u043e\u043b\u044c\u0437\u044f\u0449\u0438\u0435 \u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u0438<\/strong> \u2014 \u044d\u0442\u043e \u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u0438 \u043c\u0435\u0436\u0434\u0443 \u0434\u0432\u0443\u043c\u044f \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u043c\u0438 \u0440\u044f\u0434\u0430\u043c\u0438 \u0432 \u0441\u043a\u043e\u043b\u044c\u0437\u044f\u0449\u0435\u043c \u043e\u043a\u043d\u0435. \u041e\u0434\u043d\u0438\u043c \u0438\u0437 \u043f\u0440\u0435\u0438\u043c\u0443\u0449\u0435\u0441\u0442\u0432 \u044d\u0442\u043e\u0433\u043e \u0442\u0438\u043f\u0430 \u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u0438 \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u0442\u043e, \u0447\u0442\u043e \u0432\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u044e \u043c\u0435\u0436\u0434\u0443 \u0434\u0432\u0443\u043c\u044f \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u043c\u0438 \u0440\u044f\u0434\u0430\u043c\u0438 \u0441 \u0442\u0435\u0447\u0435\u043d\u0438\u0435\u043c \u0432\u0440\u0435\u043c\u0435\u043d\u0438.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\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 \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0438 \u0432\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0441\u043a\u043e\u043b\u044c\u0437\u044f\u0449\u0438\u0435 \u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u0438 \u0434\u043b\u044f DataFrame pandas \u0432 Python.<\/span><\/p>\n<h3> <strong>\u041a\u0430\u043a \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0441\u043a\u043e\u043b\u044c\u0437\u044f\u0449\u0438\u0435 \u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u0438 \u0432 \u043f\u0430\u043d\u0434\u0430\u0445<\/strong><\/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 \u0444\u0440\u0435\u0439\u043c \u0434\u0430\u043d\u043d\u044b\u0445, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043e\u0442\u043e\u0431\u0440\u0430\u0436\u0430\u0435\u0442 \u043e\u0431\u0449\u0435\u0435 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u043f\u0440\u043e\u0434\u0430\u043d\u043d\u044b\u0445 \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u043e\u0432 \u0434\u043b\u044f \u0434\u0432\u0443\u0445 \u0440\u0430\u0437\u043d\u044b\u0445 \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u043e\u0432 ( <em>x<\/em> \u0438 <em>y<\/em> ) \u0437\u0430 15-\u043c\u0435\u0441\u044f\u0447\u043d\u044b\u0439 \u043f\u0435\u0440\u0438\u043e\u0434:<\/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;\">\u0427\u0442\u043e\u0431\u044b \u0432\u044b\u0447\u0438\u0441\u043b\u0438\u0442\u044c \u0441\u043a\u043e\u043b\u044c\u0437\u044f\u0449\u0443\u044e \u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u044e \u0432 pandas, \u043c\u044b \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.core.window.rolling.Rolling.corr.html\" target=\"_blank\" rel=\"noopener noreferrer\">\u0444\u0443\u043d\u043a\u0446\u0438\u044e Rolling.corr()<\/a> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u042d\u0442\u0430 \u0444\u0443\u043d\u043a\u0446\u0438\u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441:<\/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;\">\u0417\u043e\u043b\u043e\u0442\u043e:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>df:<\/strong> \u0438\u043c\u044f \u0444\u0440\u0435\u0439\u043c\u0430 \u0434\u0430\u043d\u043d\u044b\u0445<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>\u0448\u0438\u0440\u0438\u043d\u0430:<\/strong> \u0446\u0435\u043b\u043e\u0435 \u0447\u0438\u0441\u043b\u043e, \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u044f\u044e\u0449\u0435\u0435 \u0448\u0438\u0440\u0438\u043d\u0443 \u043e\u043a\u043d\u0430 \u0434\u043b\u044f \u0441\u043a\u043e\u043b\u044c\u0437\u044f\u0449\u0435\u0439 \u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u0438.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>x, y:<\/strong> \u0438\u043c\u0435\u043d\u0430 \u0434\u0432\u0443\u0445 \u0441\u0442\u043e\u043b\u0431\u0446\u043e\u0432 \u0434\u043b\u044f \u0440\u0430\u0441\u0447\u0435\u0442\u0430 \u0441\u043a\u043e\u043b\u044c\u0437\u044f\u0449\u0435\u0439 \u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u0438 \u043c\u0435\u0436\u0434\u0443<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u0412\u043e\u0442 \u043a\u0430\u043a \u043c\u043e\u0436\u043d\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u044d\u0442\u0443 \u0444\u0443\u043d\u043a\u0446\u0438\u044e \u0434\u043b\u044f \u0440\u0430\u0441\u0447\u0435\u0442\u0430 \u0441\u043a\u043e\u043b\u044c\u0437\u044f\u0449\u0435\u0439 \u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u0438 \u043f\u0440\u043e\u0434\u0430\u0436 \u0437\u0430 3 \u043c\u0435\u0441\u044f\u0446\u0430 \u043c\u0435\u0436\u0434\u0443 \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u043e\u043c <em>x<\/em> \u0438 \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u043e\u043c <em>y<\/em> :<\/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;\">\u042d\u0442\u0430 \u0444\u0443\u043d\u043a\u0446\u0438\u044f \u0432\u043e\u0437\u0432\u0440\u0430\u0449\u0430\u0435\u0442 \u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u044e \u043c\u0435\u0436\u0434\u0443 \u043f\u0440\u043e\u0434\u0430\u0436\u0430\u043c\u0438 \u0434\u0432\u0443\u0445 \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u043e\u0432 \u0437\u0430 \u043f\u0440\u0435\u0434\u044b\u0434\u0443\u0449\u0438\u0435 3 \u043c\u0435\u0441\u044f\u0446\u0430. \u041d\u0430\u043f\u0440\u0438\u043c\u0435\u0440:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\u041a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u044f \u043f\u0440\u043e\u0434\u0430\u0436 \u0432 1-3 \u043c\u0435\u0441\u044f\u0446\u044b \u0441\u043e\u0441\u0442\u0430\u0432\u0438\u043b\u0430 <strong>0,654654<\/strong> .<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u041a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u044f \u043f\u0440\u043e\u0434\u0430\u0436 \u0432\u043e 2-4 \u043c\u0435\u0441\u044f\u0446\u0430\u0445 \u0441\u043e\u0441\u0442\u0430\u0432\u0438\u043b\u0430 <strong>-0,693375.<\/strong><\/span><\/li>\n<li> <span style=\"color: #000000;\">\u041a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u044f \u043f\u0440\u043e\u0434\u0430\u0436 \u0432 3-5 \u043c\u0435\u0441\u044f\u0446\u044b \u0441\u043e\u0441\u0442\u0430\u0432\u0438\u043b\u0430 <strong>-0,240192.<\/strong><\/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;\">\u041c\u044b \u043c\u043e\u0436\u0435\u043c \u043b\u0435\u0433\u043a\u043e \u043d\u0430\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u044d\u0442\u0443 \u0444\u043e\u0440\u043c\u0443\u043b\u0443 \u0434\u043b\u044f \u0440\u0430\u0441\u0447\u0435\u0442\u0430 \u0441\u043a\u043e\u043b\u044c\u0437\u044f\u0449\u0435\u0439 \u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u0438 \u0434\u043b\u044f \u0434\u0440\u0443\u0433\u043e\u0433\u043e \u043f\u0435\u0440\u0438\u043e\u0434\u0430 \u0432\u0440\u0435\u043c\u0435\u043d\u0438. \u041d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u043a\u0430\u043a \u0432\u044b\u0447\u0438\u0441\u043b\u0438\u0442\u044c \u0441\u043a\u043e\u043b\u044c\u0437\u044f\u0449\u0443\u044e \u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u044e \u043f\u0440\u043e\u0434\u0430\u0436 \u043c\u0435\u0436\u0434\u0443 \u0434\u0432\u0443\u043c\u044f \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u0430\u043c\u0438 \u0437\u0430 6 \u043c\u0435\u0441\u044f\u0446\u0435\u0432:<\/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;\">\u042d\u0442\u0430 \u0444\u0443\u043d\u043a\u0446\u0438\u044f \u0432\u043e\u0437\u0432\u0440\u0430\u0449\u0430\u0435\u0442 \u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u044e \u043c\u0435\u0436\u0434\u0443 \u043f\u0440\u043e\u0434\u0430\u0436\u0430\u043c\u0438 \u0434\u0432\u0443\u0445 \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u043e\u0432 \u0437\u0430 \u043f\u0440\u0435\u0434\u044b\u0434\u0443\u0449\u0438\u0435 6 \u043c\u0435\u0441\u044f\u0446\u0435\u0432. \u041d\u0430\u043f\u0440\u0438\u043c\u0435\u0440:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\u041a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u044f \u043f\u0440\u043e\u0434\u0430\u0436 \u0432 1-6 \u043c\u0435\u0441\u044f\u0446\u044b \u0441\u043e\u0441\u0442\u0430\u0432\u0438\u043b\u0430 <strong>0,558742<\/strong> .<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u041a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u044f \u043f\u0440\u043e\u0434\u0430\u0436 \u0432\u043e 2-7 \u043c\u0435\u0441\u044f\u0446\u0430\u0445 \u0441\u043e\u0441\u0442\u0430\u0432\u0438\u043b\u0430 <strong>0,485855.<\/strong><\/span><\/li>\n<li> <span style=\"color: #000000;\">\u041a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u044f \u043f\u0440\u043e\u0434\u0430\u0436 \u0432 3-8 \u043c\u0435\u0441\u044f\u0446\u0430\u0445 \u0441\u043e\u0441\u0442\u0430\u0432\u0438\u043b\u0430 <strong>0,693103.<\/strong><\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\u0418 \u0442\u0430\u043a \u0434\u0430\u043b\u0435\u0435.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u041a\u043e\u043c\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0438<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0412\u043e\u0442 \u043d\u0435\u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043f\u0440\u0438\u043c\u0435\u0447\u0430\u043d\u0438\u044f \u043a \u0444\u0443\u043d\u043a\u0446\u0438\u044f\u043c, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u043c\u044b\u043c \u0432 \u044d\u0442\u0438\u0445 \u043f\u0440\u0438\u043c\u0435\u0440\u0430\u0445:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>\u0428\u0438\u0440\u0438\u043d\u0430<\/strong> (\u0442. \u0435. \u0440\u0430\u0441\u043a\u0440\u044b\u0432\u0430\u044e\u0449\u0435\u0433\u043e\u0441\u044f \u043e\u043a\u043d\u0430) \u0434\u043e\u043b\u0436\u043d\u0430 \u0431\u044b\u0442\u044c \u0440\u0430\u0432\u043d\u0430 \u0438\u043b\u0438 \u0431\u043e\u043b\u044c\u0448\u0435 3, \u0447\u0442\u043e\u0431\u044b \u043c\u043e\u0436\u043d\u043e \u0431\u044b\u043b\u043e \u0432\u044b\u0447\u0438\u0441\u043b\u0438\u0442\u044c \u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u0438.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\u041f\u043e\u043b\u043d\u0443\u044e \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u044e \u043f\u043e \u0444\u0443\u043d\u043a\u0446\u0438\u0438 Rolling.corr() \u0432\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u043d\u0430\u0439\u0442\u0438 <a href=\"https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.core.window.rolling.Rolling.corr.html\" target=\"_blank\" rel=\"noopener noreferrer\">\u0437\u0434\u0435\u0441\u044c<\/a> .<\/span><\/li>\n<\/ul>\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> <a href=\"https:\/\/statorials.org\/ru\/\u0441\u043a\u043e\u043b\u044c\u0437\u044f\u0449\u0430\u044f-\u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u044f-\u0432-r\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u041a\u0430\u043a \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0441\u043a\u043e\u043b\u044c\u0437\u044f\u0449\u0443\u044e \u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u044e \u0432 R<\/a><br \/> <a href=\"https:\/\/statorials.org\/ru\/\u0441\u043a\u043e\u043b\u044c\u0437\u044f\u0449\u0430\u044f-\u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u044f-\u0432-excel\/\" target=\"_blank\" rel=\"noopener noreferrer\">\u041a\u0430\u043a \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0441\u043a\u043e\u043b\u044c\u0437\u044f\u0449\u0443\u044e \u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u044e \u0432 Excel<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0421\u043a\u043e\u043b\u044c\u0437\u044f\u0449\u0438\u0435 \u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u0438 \u2014 \u044d\u0442\u043e \u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u0438 \u043c\u0435\u0436\u0434\u0443 \u0434\u0432\u0443\u043c\u044f \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u043c\u0438 \u0440\u044f\u0434\u0430\u043c\u0438 \u0432 \u0441\u043a\u043e\u043b\u044c\u0437\u044f\u0449\u0435\u043c \u043e\u043a\u043d\u0435. \u041e\u0434\u043d\u0438\u043c \u0438\u0437 \u043f\u0440\u0435\u0438\u043c\u0443\u0449\u0435\u0441\u0442\u0432 \u044d\u0442\u043e\u0433\u043e \u0442\u0438\u043f\u0430 \u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u0438 \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u0442\u043e, \u0447\u0442\u043e \u0432\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u044e \u043c\u0435\u0436\u0434\u0443 \u0434\u0432\u0443\u043c\u044f \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u043c\u0438 \u0440\u044f\u0434\u0430\u043c\u0438 \u0441 \u0442\u0435\u0447\u0435\u043d\u0438\u0435\u043c \u0432\u0440\u0435\u043c\u0435\u043d\u0438. \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 \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0438 \u0432\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0441\u043a\u043e\u043b\u044c\u0437\u044f\u0449\u0438\u0435 \u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u0438 \u0434\u043b\u044f DataFrame pandas \u0432 Python. \u041a\u0430\u043a \u0440\u0430\u0441\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0441\u043a\u043e\u043b\u044c\u0437\u044f\u0449\u0438\u0435 \u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u0438 \u0432 \u043f\u0430\u043d\u0434\u0430\u0445 \u041f\u0440\u0435\u0434\u043f\u043e\u043b\u043e\u0436\u0438\u043c, \u0443 [&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-1168","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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\u0432\u044b\u0447\u0438\u0441\u043b\u0438\u0442\u044c \u0441\u043a\u043e\u043b\u044c\u0437\u044f\u0449\u0443\u044e \u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u044e \u0434\u043b\u044f DataFrame pandas \u0432 Python, \u043d\u0430 \u043f\u0440\u0438\u043c\u0435\u0440\u0435.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ru\/\u043a\u043e\u0440\u0440\u0435\u043b\u044f\u0446\u0438\u043e\u043d\u043d\u044b\u0438-\u043f\u043e\u0434\u0448\u0438\u043f\u043d\u0438\u043a-\u043f\u0430\u043d\u0434\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-27T10:11:54+00:00\" \/>\n<meta name=\"author\" content=\"\u0431\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d \u0430\u043d\u0434\u0435\u0440\u0441\u043e\u043d\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u041d\u0430\u043f\u0438\u0441\u0430\u043d\u043e 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