{"id":3238,"date":"2023-07-18T12:33:46","date_gmt":"2023-07-18T12:33:46","guid":{"rendered":"https:\/\/statorials.org\/uk\/%d1%86%d0%b8%d1%84%d1%80%d0%be%d0%b2%d0%b8%d0%b8-%d1%84%d1%96%d0%bb%d1%8c%d1%82%d1%80\/"},"modified":"2023-07-18T12:33:46","modified_gmt":"2023-07-18T12:33:46","slug":"%d1%86%d0%b8%d1%84%d1%80%d0%be%d0%b2%d0%b8%d0%b8-%d1%84%d1%96%d0%bb%d1%8c%d1%82%d1%80","status":"publish","type":"post","link":"https:\/\/statorials.org\/uk\/%d1%86%d0%b8%d1%84%d1%80%d0%be%d0%b2%d0%b8%d0%b8-%d1%84%d1%96%d0%bb%d1%8c%d1%82%d1%80\/","title":{"rendered":"\u042f\u043a \u0432\u0456\u0434\u0444\u0456\u043b\u044c\u0442\u0440\u0443\u0432\u0430\u0442\u0438 \u043c\u0430\u0441\u0438\u0432 numpy (4 \u043f\u0440\u0438\u043a\u043b\u0430\u0434\u0438)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0456 \u043c\u0435\u0442\u043e\u0434\u0438 \u0434\u043b\u044f \u0444\u0456\u043b\u044c\u0442\u0440\u0430\u0446\u0456\u0457 \u0437\u043d\u0430\u0447\u0435\u043d\u044c \u043c\u0430\u0441\u0438\u0432\u0443 NumPy:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u0456\u0431 1: \u0424\u0456\u043b\u044c\u0442\u0440\u0443\u0439\u0442\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0456 \u043e\u0434\u043d\u0456\u0454\u0457 \u0443\u043c\u043e\u0432\u0438<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#filter for values less than 5<\/span>\nmy_array[my_array &lt; <span style=\"color: #008000;\">5<\/span> ]\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u0456\u0431 2: \u0444\u0456\u043b\u044c\u0442\u0440\u0443\u0432\u0430\u043d\u043d\u044f \u0437\u043d\u0430\u0447\u0435\u043d\u044c \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u0443\u043c\u043e\u0432\u0438 \u00ab\u0410\u0411\u041e\u00bb.<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#filter for values less than 5 <em>or<\/em> greater than 9<\/span>\nmy_array[(my_array &lt; <span style=\"color: #008000;\">5<\/span> ) | (my_array &gt; <span style=\"color: #008000;\">9<\/span> )]\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u0456\u0431 3: \u0424\u0456\u043b\u044c\u0442\u0440\u0443\u0439\u0442\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u0443\u043c\u043e\u0432\u0438 \u00ab\u0406\u00bb.<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#filter for values greater than 5 <i>and<\/i> less than 9<\/span>\nmy_array[(my_array &gt; <span style=\"color: #008000;\">5<\/span> ) &amp; (my_array &lt; <span style=\"color: #008000;\">9<\/span> )]<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u0421\u043f\u043e\u0441\u0456\u0431 4: \u0432\u0456\u0434\u0444\u0456\u043b\u044c\u0442\u0440\u0443\u0439\u0442\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f, \u0449\u043e \u043c\u0456\u0441\u0442\u044f\u0442\u044c\u0441\u044f \u0432 \u0441\u043f\u0438\u0441\u043a\u0443<\/strong><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#filter for values that are equal to 2, 3, 5, or 12<\/span>\nmy_array[np. <span style=\"color: #3366ff;\">in1d<\/span> (my_array, [2, 3, 5, 12])]\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0426\u0435\u0439 \u043f\u043e\u0441\u0456\u0431\u043d\u0438\u043a \u043f\u043e\u044f\u0441\u043d\u044e\u0454, \u044f\u043a \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u043a\u043e\u0436\u0435\u043d \u043c\u0435\u0442\u043e\u0434 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u0446\u0456 \u0437 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u043c \u043c\u0430\u0441\u0438\u0432\u043e\u043c NumPy:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <span style=\"color: #000000;\"><strong><span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#create NumPy array\n<\/span>my_array = np. <span style=\"color: #3366ff;\">array<\/span> ([1, 2, 2, 3, 5, 6, 7, 10, 12, 14])\n\n<span style=\"color: #008080;\">#view NumPy array<\/span>\nmy_array\n\narray([ 1, 2, 2, 3, 5, 6, 7, 10, 12, 14])\n<\/strong><\/span><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 1: \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0444\u0456\u043b\u044c\u0442\u0440\u0430 \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0456 \u0443\u043c\u043e\u0432\u0438<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u0443\u0454, \u044f\u043a \u0444\u0456\u043b\u044c\u0442\u0440\u0443\u0432\u0430\u0442\u0438 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u043c\u0430\u0441\u0438\u0432\u0443 NumPy \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0456 \u043e\u0434\u043d\u0456\u0454\u0457 \u0443\u043c\u043e\u0432\u0438:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#filter for values less than 5\n<\/span>my_array[(my_array &lt; <span style=\"color: #008000;\">5<\/span> )]\n\narray([1, 2, 2, 3])\n\n<span style=\"color: #008080;\">#filter for values greater than 5\n<\/span>my_array[(my_array &gt; <span style=\"color: #008000;\">5<\/span> )]\n\narray([6,7,10,12,14])\n\n<span style=\"color: #008080;\">#filter for values equal to 5\n<\/span>my_array[(my_array == <span style=\"color: #008000;\">5<\/span> )]\n\narray([5])\n<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 2: \u0424\u0456\u043b\u044c\u0442\u0440\u0443\u0439\u0442\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u0443\u043c\u043e\u0432\u0438 \u00ab\u0410\u0411\u041e\u00bb.<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u0443\u0454, \u044f\u043a \u0444\u0456\u043b\u044c\u0442\u0440\u0443\u0432\u0430\u0442\u0438 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u043c\u0430\u0441\u0438\u0432\u0443 NumPy \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u0443\u043c\u043e\u0432\u0438 \u00ab\u0410\u0411\u041e\u00bb:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#filter for values less than 5 <em>or<\/em> greater than 9<\/span>\nmy_array[(my_array &lt; <span style=\"color: #008000;\">5<\/span> ) | (my_array &gt; <span style=\"color: #008000;\">9<\/span> )]\n\narray([ 1, 2, 2, 3, 10, 12, 14])\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0426\u0435\u0439 \u0444\u0456\u043b\u044c\u0442\u0440 \u043f\u043e\u0432\u0435\u0440\u0442\u0430\u0454 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u043c\u0430\u0441\u0438\u0432\u0443 NumPy \u043c\u0435\u043d\u0448\u0435 5 <strong>\u0430\u0431\u043e<\/strong> \u0431\u0456\u043b\u044c\u0448\u0435 9.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 3: \u0424\u0456\u043b\u044c\u0442\u0440\u0443\u0439\u0442\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u0443\u043c\u043e\u0432\u0438 \u00ab\u0406\u00bb.<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u0443\u0454, \u044f\u043a \u0444\u0456\u043b\u044c\u0442\u0440\u0443\u0432\u0430\u0442\u0438 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u043c\u0430\u0441\u0438\u0432\u0443 NumPy \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u0443\u043c\u043e\u0432\u0438 \u00ab\u0406\u00bb:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#filter for values greater than 5 <i>and<\/i> less than 9<\/span>\nmy_array[(my_array &gt; <span style=\"color: #008000;\">5<\/span> ) &amp; (my_array &lt; <span style=\"color: #008000;\">9<\/span> )]\n\narray([6, 7])\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0426\u0435\u0439 \u0444\u0456\u043b\u044c\u0442\u0440 \u043f\u043e\u0432\u0435\u0440\u0442\u0430\u0454 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u0437 \u043c\u0430\u0441\u0438\u0432\u0443 NumPy \u0431\u0456\u043b\u044c\u0448\u0435 5 <b>\u0456<\/b> \u043c\u0435\u043d\u0448\u0435 9.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043a\u043b\u0430\u0434 4: \u0432\u0456\u0434\u0444\u0456\u043b\u044c\u0442\u0440\u0443\u0432\u0430\u0442\u0438 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f, \u0449\u043e \u043c\u0456\u0441\u0442\u044f\u0442\u044c\u0441\u044f \u0432 \u0441\u043f\u0438\u0441\u043a\u0443<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u041d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u0443\u0454, \u044f\u043a \u0444\u0456\u043b\u044c\u0442\u0440\u0443\u0432\u0430\u0442\u0438 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u043c\u0430\u0441\u0438\u0432\u0443 NumPy, \u0449\u043e \u043c\u0456\u0441\u0442\u044f\u0442\u044c\u0441\u044f \u0432 \u0441\u043f\u0438\u0441\u043a\u0443:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#filter for values that are equal to 2, 3, 5, or 12<\/span>\nmy_array[np. <span style=\"color: #3366ff;\">in1d<\/span> (my_array, [2, 3, 5, 12])]\n\narray([ 2, 2, 3, 5, 12])\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0426\u0435\u0439 \u0444\u0456\u043b\u044c\u0442\u0440 \u043f\u043e\u0432\u0435\u0440\u0442\u0430\u0454 \u043b\u0438\u0448\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f, \u0449\u043e \u0434\u043e\u0440\u0456\u0432\u043d\u044e\u044e\u0442\u044c 2, 3, 5 \u0430\u0431\u043e 12.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u041f\u0440\u0438\u043c\u0456\u0442\u043a\u0430<\/strong> . \u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0437\u043d\u0430\u0439\u0442\u0438 \u043f\u043e\u0432\u043d\u0443 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0446\u0456\u044e \u0434\u043b\u044f \u0444\u0443\u043d\u043a\u0446\u0456\u0457 NumPy <strong>in1d()<\/strong> <a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.in1d.html\" target=\"_blank\" rel=\"noopener\">\u0442\u0443\u0442<\/a> .<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\u0414\u043e\u0434\u0430\u0442\u043a\u043e\u0432\u0456 \u0440\u0435\u0441\u0443\u0440\u0441\u0438<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\u0423 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0438\u0445 \u043f\u043e\u0441\u0456\u0431\u043d\u0438\u043a\u0430\u0445 \u043f\u043e\u044f\u0441\u043d\u044e\u0454\u0442\u044c\u0441\u044f, \u044f\u043a \u0432\u0438\u043a\u043e\u043d\u0443\u0432\u0430\u0442\u0438 \u0456\u043d\u0448\u0456 \u0442\u0438\u043f\u043e\u0432\u0456 \u043e\u043f\u0435\u0440\u0430\u0446\u0456\u0457 \u0444\u0456\u043b\u044c\u0442\u0440\u0430\u0446\u0456\u0457 \u0432 Python:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/uk\/pandas-\u0444\u0456\u043b\u044c\u0442\u0440\u0443\u044e\u0442\u044c-\u0440\u044f\u0434\u043a\u0438,-\u0449\u043e-\u043c\u0456\u0441\u0442\u044f\u0442\u044c-\u0440\u044f\u0434\u043e\u043a\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0432\u0456\u0434\u0444\u0456\u043b\u044c\u0442\u0440\u0443\u0432\u0430\u0442\u0438 \u0440\u044f\u0434\u043a\u0438 Pandas DataFrame, \u044f\u043a\u0456 \u043c\u0456\u0441\u0442\u044f\u0442\u044c \u043f\u0435\u0432\u043d\u0438\u0439 \u0440\u044f\u0434\u043e\u043a<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/pandas-\u0444\u0456\u043b\u044c\u0442\u0440\u0443\u0454-\u043a\u0456\u043b\u044c\u043a\u0430-\u0443\u043c\u043e\u0432\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0432\u0456\u0434\u0444\u0456\u043b\u044c\u0442\u0440\u0443\u0432\u0430\u0442\u0438 Pandas DataFrame \u0437\u0430 \u043a\u0456\u043b\u044c\u043a\u043e\u043c\u0430 \u0443\u043c\u043e\u0432\u0430\u043c\u0438<\/a><br \/> <a href=\"https:\/\/statorials.org\/uk\/\u0432\u0456\u0434\u0441\u0443\u0442\u043d\u0456-\u043f\u0430\u043d\u0434\u0438\/\" target=\"_blank\" rel=\"noopener\">\u042f\u043a \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u0444\u0456\u043b\u044c\u0442\u0440 \u00abNOT IN\u00bb \u0443 Pandas DataFrame<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0412\u0438 \u043c\u043e\u0436\u0435\u0442\u0435 \u0432\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u043e\u0432\u0443\u0432\u0430\u0442\u0438 \u043d\u0430\u0441\u0442\u0443\u043f\u043d\u0456 \u043c\u0435\u0442\u043e\u0434\u0438 \u0434\u043b\u044f \u0444\u0456\u043b\u044c\u0442\u0440\u0430\u0446\u0456\u0457 \u0437\u043d\u0430\u0447\u0435\u043d\u044c \u043c\u0430\u0441\u0438\u0432\u0443 NumPy: \u0421\u043f\u043e\u0441\u0456\u0431 1: \u0424\u0456\u043b\u044c\u0442\u0440\u0443\u0439\u0442\u0435 \u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044f \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0456 \u043e\u0434\u043d\u0456\u0454\u0457 \u0443\u043c\u043e\u0432\u0438 #filter for values less than 5 my_array[my_array &lt; 5 ] \u0421\u043f\u043e\u0441\u0456\u0431 2: \u0444\u0456\u043b\u044c\u0442\u0440\u0443\u0432\u0430\u043d\u043d\u044f \u0437\u043d\u0430\u0447\u0435\u043d\u044c \u0437\u0430 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u043e\u044e \u0443\u043c\u043e\u0432\u0438 \u00ab\u0410\u0411\u041e\u00bb. #filter for values less than 5 or greater than 9 my_array[(my_array &lt; 5 ) | (my_array &gt; 9 )] [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u042f\u043a \u0432\u0456\u0434\u0444\u0456\u043b\u044c\u0442\u0440\u0443\u0432\u0430\u0442\u0438 \u043c\u0430\u0441\u0438\u0432 NumPy (4 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