{"id":4106,"date":"2023-07-13T13:24:27","date_gmt":"2023-07-13T13:24:27","guid":{"rendered":"https:\/\/statorials.org\/ru\/%d0%bf%d0%b0%d0%bd%d0%b4%d1%8b-%d0%be%d1%82%d1%81%d0%be%d1%80%d1%82%d0%b8%d1%80%d0%be%d0%b2%d0%b0%d0%bd%d1%8b-%d0%bf%d0%be-%d1%86%d0%b5%d0%bf%d0%be%d1%87%d0%ba%d0%b5\/"},"modified":"2023-07-13T13:24:27","modified_gmt":"2023-07-13T13:24:27","slug":"%d0%bf%d0%b0%d0%bd%d0%b4%d1%8b-%d0%be%d1%82%d1%81%d0%be%d1%80%d1%82%d0%b8%d1%80%d0%be%d0%b2%d0%b0%d0%bd%d1%8b-%d0%bf%d0%be-%d1%86%d0%b5%d0%bf%d0%be%d1%87%d0%ba%d0%b5","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/%d0%bf%d0%b0%d0%bd%d0%b4%d1%8b-%d0%be%d1%82%d1%81%d0%be%d1%80%d1%82%d0%b8%d1%80%d0%be%d0%b2%d0%b0%d0%bd%d1%8b-%d0%bf%d0%be-%d1%86%d0%b5%d0%bf%d0%be%d1%87%d0%ba%d0%b5\/","title":{"rendered":"Pandas: \u043a\u0430\u043a \u0441\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c dataframe \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u0441\u0442\u0440\u043e\u043a\u043e\u0432\u043e\u0433\u043e \u0441\u0442\u043e\u043b\u0431\u0446\u0430"},"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\u0435 \u043c\u0435\u0442\u043e\u0434\u044b \u0434\u043b\u044f \u0441\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u043a\u0438 \u0441\u0442\u0440\u043e\u043a DataFrame pandas \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u043e\u0433\u043e \u0441\u0442\u0440\u043e\u043a\u043e\u0432\u043e\u0433\u043e \u0441\u0442\u043e\u043b\u0431\u0446\u0430:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u043e\u0431 1: \u0441\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u043a\u0430 \u043f\u043e \u0441\u0442\u0440\u043e\u043a\u043e\u0432\u043e\u043c\u0443 \u0441\u0442\u043e\u043b\u0431\u0446\u0443 (\u043a\u043e\u0433\u0434\u0430 \u0441\u0442\u043e\u043b\u0431\u0435\u0446 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 \u0442\u043e\u043b\u044c\u043a\u043e \u0441\u0438\u043c\u0432\u043e\u043b\u044b)<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df = df. <span style=\"color: #3366ff;\">sort_values<\/span> (' <span style=\"color: #ff0000;\">my_string_column<\/span> ')\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u043e\u0431 2: \u0441\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u043a\u0430 \u043f\u043e \u0441\u0442\u0440\u043e\u043a\u043e\u0432\u043e\u043c\u0443 \u0441\u0442\u043e\u043b\u0431\u0446\u0443 (\u0435\u0441\u043b\u0438 \u0441\u0442\u043e\u043b\u0431\u0435\u0446 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 \u0441\u0438\u043c\u0432\u043e\u043b\u044b <em>\u0438<\/em> \u0446\u0438\u0444\u0440\u044b)<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#create 'sort' column that contains digits from 'my_string_column'\n<\/span><span style=\"color: #000000;\">df[' <span style=\"color: #ff0000;\">sort<\/span> '] = df[' <span style=\"color: #ff0000;\">my_string_column<\/span> ']. <span style=\"color: #3366ff;\">str<\/span> . <span style=\"color: #3366ff;\">extract<\/span> (' <span style=\"color: #ff0000;\">(\\d+)<\/span> ', expand= <span style=\"color: #008000;\">False<\/span> ). <span style=\"color: #3366ff;\">astype<\/span> (int)\n<\/span>\n<span style=\"color: #008080;\">#sort rows based on digits in 'sort' column\n<\/span>df = df. <span style=\"color: #3366ff;\">sort_values<\/span> (' <span style=\"color: #ff0000;\">sort<\/span> ')\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0435 \u043f\u0440\u0438\u043c\u0435\u0440\u044b \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u044e\u0442, \u043a\u0430\u043a \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u043a\u0430\u0436\u0434\u044b\u0439 \u043c\u0435\u0442\u043e\u0434 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0435.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0435\u0440 1. \u0421\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u043a\u0430 \u043f\u043e \u0441\u0442\u0440\u043e\u043a\u043e\u0432\u043e\u043c\u0443 \u0441\u0442\u043e\u043b\u0431\u0446\u0443 (\u043a\u043e\u0433\u0434\u0430 \u0441\u0442\u043e\u043b\u0431\u0435\u0446 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 \u0442\u043e\u043b\u044c\u043a\u043e \u0441\u0438\u043c\u0432\u043e\u043b\u044b)<\/strong><\/span><\/h2>\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, \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0449\u0438\u0439 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044e \u043e \u043f\u0440\u043e\u0434\u0430\u0436\u0430\u0445 \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u043e\u0432 \u0432 \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u043e\u0432\u043e\u043c \u043c\u0430\u0433\u0430\u0437\u0438\u043d\u0435:<\/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>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">product<\/span> ': ['Apples', 'Oranges', 'Bananas', 'Lettuce', 'Beans'],\n                   ' <span style=\"color: #ff0000;\">sales<\/span> ': [18, 22, 19, 14, 29]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n   product sales\n0 Apples 18\n1 Oranges 22\n2 Bananas 19\n3 Lettuce 14\n4 Beans 29<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u041c\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 \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441 \u0434\u043b\u044f \u0441\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u043a\u0438 \u0441\u0442\u0440\u043e\u043a DataFrame \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u0441\u0442\u0440\u043e\u043a \u0432 \u0441\u0442\u043e\u043b\u0431\u0446\u0435 <strong>\u043f\u0440\u043e\u0434\u0443\u043a\u0442\u0430<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#sort rows from A to Z based on string in 'product' column\n<\/span>df = df. <span style=\"color: #3366ff;\">sort_values<\/span> (' <span style=\"color: #ff0000;\">product<\/span> ')\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n   product sales\n0 Apples 18\n2 Bananas 19\n4 Beans 29\n3 Lettuce 14\n1 Oranges 22<\/span><\/span><\/strong><\/pre>\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 \u0441\u0442\u0440\u043e\u043a\u0438 \u0442\u0435\u043f\u0435\u0440\u044c \u043e\u0442\u0441\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u044b \u043e\u0442 \u0410 \u0434\u043e \u042f \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u0441\u0442\u0440\u043e\u043a \u0432 \u0441\u0442\u043e\u043b\u0431\u0446\u0435 <strong>\u00ab\u041f\u0440\u043e\u0434\u0443\u043a\u0442\u00bb<\/strong> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0415\u0441\u043b\u0438 \u0432\u043c\u0435\u0441\u0442\u043e \u044d\u0442\u043e\u0433\u043e \u0432\u044b \u0445\u043e\u0442\u0438\u0442\u0435 \u0441\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043e\u0442 Z \u0434\u043e A, \u043f\u0440\u043e\u0441\u0442\u043e \u0434\u043e\u0431\u0430\u0432\u044c\u0442\u0435 \u0430\u0440\u0433\u0443\u043c\u0435\u043d\u0442 <strong>\u0432\u043e\u0437\u0440\u0430\u0441\u0442\u0430\u044e\u0449\u0438\u0439=False<\/strong> :<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#sort rows from Z to A based on string in 'product' column\n<\/span>df = df. <span style=\"color: #3366ff;\">sort_values<\/span> (' <span style=\"color: #ff0000;\">product<\/span> ', ascending= <span style=\"color: #008000;\">False<\/span> )\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n   product sales\n1 Oranges 22\n3 Lettuce 14\n4 Beans 29\n2 Bananas 19\n0 Apples 18\n<\/span><\/span><\/strong><\/pre>\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 \u0441\u0442\u0440\u043e\u043a\u0438 \u0442\u0435\u043f\u0435\u0440\u044c \u043e\u0442\u0441\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u044b \u043e\u0442 Z \u0434\u043e A \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u0441\u0442\u0440\u043e\u043a \u0432 \u0441\u0442\u043e\u043b\u0431\u0446\u0435 <strong>\u00ab\u041f\u0440\u043e\u0434\u0443\u043a\u0442\u00bb<\/strong> .<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0435\u0440 2. \u0421\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u043a\u0430 \u043f\u043e \u0441\u0442\u0440\u043e\u043a\u043e\u0432\u043e\u043c\u0443 \u0441\u0442\u043e\u043b\u0431\u0446\u0443 (\u043a\u043e\u0433\u0434\u0430 \u0441\u0442\u043e\u043b\u0431\u0435\u0446 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 \u0441\u0438\u043c\u0432\u043e\u043b\u044b <em>\u0438<\/em> \u0446\u0438\u0444\u0440\u044b)<\/strong><\/span><\/h2>\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, \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0449\u0438\u0439 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044e \u043e \u043f\u0440\u043e\u0434\u0430\u0436\u0430\u0445 \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u043e\u0432 \u0432 \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u043e\u0432\u043e\u043c \u043c\u0430\u0433\u0430\u0437\u0438\u043d\u0435:<\/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>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">product<\/span> ': ['A3', 'A5', 'A22', 'A50', 'A2', 'A7', 'A9', 'A13'],\n                   ' <span style=\"color: #ff0000;\">sales<\/span> ': [18, 22, 19, 14, 14, 11, 20, 28]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  product sales\n0 A3 18\n1 A5 22\n2 A22 19\n3 A50 14\n4 A2 14\n5 A7 11\n6 A9 20\n7 A13 28\n<\/strong><\/pre>\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 \u0441\u0442\u0440\u043e\u043a\u0438 \u0432 \u0441\u0442\u043e\u043b\u0431\u0446\u0435 <strong>\u043f\u0440\u043e\u0434\u0443\u043a\u0442\u0430<\/strong> \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0442 \u043a\u0430\u043a \u0441\u0438\u043c\u0432\u043e\u043b\u044b, \u0442\u0430\u043a \u0438 \u0446\u0438\u0444\u0440\u044b.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0415\u0441\u043b\u0438 \u043c\u044b \u043f\u043e\u043f\u044b\u0442\u0430\u0435\u043c\u0441\u044f \u043e\u0442\u0441\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0441\u0442\u0440\u043e\u043a\u0438 DataFrame, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0432 \u0441\u0442\u043e\u043b\u0431\u0446\u0435 <strong>\u043f\u0440\u043e\u0434\u0443\u043a\u0442\u0430<\/strong> , \u0441\u0442\u0440\u043e\u043a\u0438 \u043d\u0435 \u0431\u0443\u0434\u0443\u0442 \u043e\u0442\u0441\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u044b \u0432 \u043f\u0440\u0430\u0432\u0438\u043b\u044c\u043d\u043e\u043c \u043f\u043e\u0440\u044f\u0434\u043a\u0435 \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u0447\u0438\u0441\u0435\u043b:<\/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;\">#sort rows based on strings in 'product' column\n<\/span>df = df. <span style=\"color: #3366ff;\">sort_values<\/span> (' <span style=\"color: #ff0000;\">product<\/span> ')\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  product sales\n7 A13 28\n4 A2 14\n2 A22 19\n0 A3 18\n1 A5 22\n3 A50 14\n5 A7 11\n6 A9 20\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0412\u043c\u0435\u0441\u0442\u043e \u044d\u0442\u043e\u0433\u043e \u043d\u0430\u043c \u043d\u0443\u0436\u043d\u043e \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u043d\u043e\u0432\u044b\u0439 \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0439 \u0441\u0442\u043e\u043b\u0431\u0435\u0446 \u043f\u043e\u0434 \u043d\u0430\u0437\u0432\u0430\u043d\u0438\u0435\u043c <strong>sort<\/strong> , \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0449\u0438\u0439 \u0442\u043e\u043b\u044c\u043a\u043e \u0447\u0438\u0441\u043b\u0430 \u0438\u0437 \u0441\u0442\u043e\u043b\u0431\u0446\u0430 \u043f\u0440\u043e\u0434\u0443\u043a\u0442\u0430, \u0437\u0430\u0442\u0435\u043c \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u0441\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u043a\u0443 \u043f\u043e \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f\u043c \u0432 \u0441\u0442\u043e\u043b\u0431\u0446\u0435 <strong>\u0441\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u043a\u0438<\/strong> , \u0430 \u0437\u0430\u0442\u0435\u043c \u043f\u043e\u043b\u043d\u043e\u0441\u0442\u044c\u044e \u0443\u0434\u0430\u043b\u0438\u0442\u044c \u0441\u0442\u043e\u043b\u0431\u0435\u0446:<\/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;\">#create new 'sort' column that contains digits from 'product' column\n<\/span>df[' <span style=\"color: #ff0000;\">sort<\/span> '] = df[' <span style=\"color: #ff0000;\">product<\/span> ']. <span style=\"color: #3366ff;\">str<\/span> . <span style=\"color: #3366ff;\">extract<\/span> (' <span style=\"color: #ff0000;\">(\\d+)<\/span> ', expand= <span style=\"color: #008000;\">False<\/span> ). <span style=\"color: #3366ff;\">astype<\/span> (int)\n\n<span style=\"color: #008080;\">#sort rows based on digits in 'sort' column\n<\/span>df = df. <span style=\"color: #3366ff;\">sort_values<\/span> (' <span style=\"color: #ff0000;\">sort<\/span> ')\n\n<span style=\"color: #008080;\">#drop 'sort' column\n<\/span>df = df. <span style=\"color: #3366ff;\">drop<\/span> (' <span style=\"color: #ff0000;\">sort<\/span> ', axis= <span style=\"color: #008000;\">1<\/span> )\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n  product sales\n4 A2 14\n0 A3 18\n1 A5 22\n5 A7 11\n6 A9 20\n7 A13 28\n2 A22 19\n3 A50 14<\/strong><\/pre>\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 \u0441\u0442\u0440\u043e\u043a\u0438 \u0432 \u0441\u0442\u043e\u043b\u0431\u0446\u0435 <strong>\u043f\u0440\u043e\u0434\u0443\u043a\u0442\u0430<\/strong> \u0442\u0435\u043f\u0435\u0440\u044c \u043e\u0442\u0441\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u044b \u043f\u043e \u0441\u0442\u0440\u043e\u043a\u0430\u043c, \u0430 \u0447\u0438\u0441\u043b\u0430 \u043e\u0442\u0441\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u044b \u0432 \u043f\u0440\u0430\u0432\u0438\u043b\u044c\u043d\u043e\u043c \u043f\u043e\u0440\u044f\u0434\u043a\u0435.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0435\u0447\u0430\u043d\u0438\u0435<\/strong> . \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 pandas <strong>sort_values()<\/strong> \u043c\u043e\u0436\u043d\u043e \u043d\u0430\u0439\u0442\u0438 <a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.DataFrame.sort_values.html\" target=\"_blank\" rel=\"noopener\">\u0437\u0434\u0435\u0441\u044c<\/a> .<\/span><\/p>\n<h2> <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><\/h2>\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 \u0437\u0430\u0434\u0430\u0447\u0438 \u0432 pandas:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ru\/\u043f\u0430\u043d\u0434\u044b-\u0441\u043e\u0440\u0442\u0438\u0440\u0443\u044e\u0442-\u043f\u043e-\u0434\u0430\u0442\u0435\/\" target=\"_blank\" rel=\"noopener\">\u041f\u0430\u043d\u0434\u044b: \u043a\u0430\u043a \u0441\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043f\u043e \u0434\u0430\u0442\u0435<\/a><br \/> <a href=\"https:\/\/statorials.org\/ru\/pandas-\u0441\u043e\u0440\u0442\u0438\u0440\u0443\u0435\u0442-\u0441\u0442\u043e\u043b\u0431\u0446\u044b-\u043f\u043e-\u0438\u043c\u0435\u043d\u0438\/\" target=\"_blank\" rel=\"noopener\">Pandas: \u043a\u0430\u043a \u0441\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0441\u0442\u043e\u043b\u0431\u0446\u044b \u043f\u043e \u0438\u043c\u0435\u043d\u0438<\/a><br \/> <a href=\"https:\/\/statorials.org\/ru\/pandas-\u0441\u043e\u0440\u0442\u0438\u0440\u0443\u0435\u0442-\u043f\u043e-\u0438\u043d\u0434\u0435\u043a\u0441\u0443-\u0438-\u0441\u0442\u043e\u043b\u0431\u0446\u0443\/\" target=\"_blank\" rel=\"noopener\">Pandas: \u043a\u0430\u043a \u0441\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043f\u043e \u0438\u043d\u0434\u0435\u043a\u0441\u0443 \u0438 \u0441\u0442\u043e\u043b\u0431\u0446\u0443<\/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\u0435 \u043c\u0435\u0442\u043e\u0434\u044b \u0434\u043b\u044f \u0441\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u043a\u0438 \u0441\u0442\u0440\u043e\u043a DataFrame pandas \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u043e\u0433\u043e \u0441\u0442\u0440\u043e\u043a\u043e\u0432\u043e\u0433\u043e \u0441\u0442\u043e\u043b\u0431\u0446\u0430: \u0421\u043f\u043e\u0441\u043e\u0431 1: \u0441\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u043a\u0430 \u043f\u043e \u0441\u0442\u0440\u043e\u043a\u043e\u0432\u043e\u043c\u0443 \u0441\u0442\u043e\u043b\u0431\u0446\u0443 (\u043a\u043e\u0433\u0434\u0430 \u0441\u0442\u043e\u043b\u0431\u0435\u0446 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 \u0442\u043e\u043b\u044c\u043a\u043e \u0441\u0438\u043c\u0432\u043e\u043b\u044b) df = df. sort_values (&#8216; my_string_column &#8216;) \u0421\u043f\u043e\u0441\u043e\u0431 2: \u0441\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u043a\u0430 \u043f\u043e \u0441\u0442\u0440\u043e\u043a\u043e\u0432\u043e\u043c\u0443 \u0441\u0442\u043e\u043b\u0431\u0446\u0443 (\u0435\u0441\u043b\u0438 \u0441\u0442\u043e\u043b\u0431\u0435\u0446 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 \u0441\u0438\u043c\u0432\u043e\u043b\u044b \u0438 \u0446\u0438\u0444\u0440\u044b) #create &#8216;sort&#8217; column that contains digits from &#8216;my_string_column&#8217; df[&#8216; [&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-4106","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: \u043a\u0430\u043a \u043e\u0442\u0441\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c DataFrame \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u0441\u0442\u0440\u043e\u043a\u043e\u0432\u043e\u0433\u043e \u0441\u0442\u043e\u043b\u0431\u0446\u0430 \u2013 \u0421\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0430<\/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 \u0441\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0441\u0442\u0440\u043e\u043a\u0438 DataFrame pandas \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u0441\u0442\u0440\u043e\u043a\u043e\u0432\u043e\u0433\u043e \u0441\u0442\u043e\u043b\u0431\u0446\u0430, \u0441 \u043f\u0440\u0438\u043c\u0435\u0440\u043e\u043c.\" \/>\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\/ru\/\u043f\u0430\u043d\u0434\u044b-\u043e\u0442\u0441\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u044b-\u043f\u043e-\u0446\u0435\u043f\u043e\u0447\u043a\u0435\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas: \u043a\u0430\u043a \u043e\u0442\u0441\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c DataFrame \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u0441\u0442\u0440\u043e\u043a\u043e\u0432\u043e\u0433\u043e \u0441\u0442\u043e\u043b\u0431\u0446\u0430 \u2013 \u0421\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0430\" \/>\n<meta property=\"og: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 \u0441\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0441\u0442\u0440\u043e\u043a\u0438 DataFrame pandas \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u0441\u0442\u0440\u043e\u043a\u043e\u0432\u043e\u0433\u043e \u0441\u0442\u043e\u043b\u0431\u0446\u0430, \u0441 \u043f\u0440\u0438\u043c\u0435\u0440\u043e\u043c.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ru\/\u043f\u0430\u043d\u0434\u044b-\u043e\u0442\u0441\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u044b-\u043f\u043e-\u0446\u0435\u043f\u043e\u0447\u043a\u0435\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-13T13:24:27+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 \u0430\u0432\u0442\u043e\u0440\u043e\u043c\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u0431\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d \u0430\u043d\u0434\u0435\u0440\u0441\u043e\u043d\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u041f\u0440\u0438\u043c\u0435\u0440\u043d\u043e\u0435 \u0432\u0440\u0435\u043c\u044f \u0434\u043b\u044f \u0447\u0442\u0435\u043d\u0438\u044f\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 \u043c\u0438\u043d\u0443\u0442\u044b\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/ru\/%d0%bf%d0%b0%d0%bd%d0%b4%d1%8b-%d0%be%d1%82%d1%81%d0%be%d1%80%d1%82%d0%b8%d1%80%d0%be%d0%b2%d0%b0%d0%bd%d1%8b-%d0%bf%d0%be-%d1%86%d0%b5%d0%bf%d0%be%d1%87%d0%ba%d0%b5\/\",\"url\":\"https:\/\/statorials.org\/ru\/%d0%bf%d0%b0%d0%bd%d0%b4%d1%8b-%d0%be%d1%82%d1%81%d0%be%d1%80%d1%82%d0%b8%d1%80%d0%be%d0%b2%d0%b0%d0%bd%d1%8b-%d0%bf%d0%be-%d1%86%d0%b5%d0%bf%d0%be%d1%87%d0%ba%d0%b5\/\",\"name\":\"Pandas: \u043a\u0430\u043a \u043e\u0442\u0441\u043e\u0440\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c DataFrame \u043d\u0430 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