{"id":3239,"date":"2023-07-18T12:33:46","date_gmt":"2023-07-18T12:33:46","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%83%e1%85%b5%e1%84%8c%e1%85%b5%e1%84%90%e1%85%a5%e1%86%af-%e1%84%91%e1%85%b5%e1%86%af%e1%84%90%e1%85%a5\/"},"modified":"2023-07-18T12:33:46","modified_gmt":"2023-07-18T12:33:46","slug":"%e1%84%83%e1%85%b5%e1%84%8c%e1%85%b5%e1%84%90%e1%85%a5%e1%86%af-%e1%84%91%e1%85%b5%e1%86%af%e1%84%90%e1%85%a5","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%83%e1%85%b5%e1%84%8c%e1%85%b5%e1%84%90%e1%85%a5%e1%86%af-%e1%84%91%e1%85%b5%e1%86%af%e1%84%90%e1%85%a5\/","title":{"rendered":"Numpy \ubc30\uc5f4\uc744 \ud544\ud130\ub9c1\ud558\ub294 \ubc29\ubc95(\uc608\uc81c 4\uac1c)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\ub2e4\uc74c \ubc29\ubc95\uc744 \uc0ac\uc6a9\ud558\uc5ec NumPy \ubc30\uc5f4\uc758 \uac12\uc744 \ud544\ud130\ub9c1\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ubc29\ubc95 1: \ub2e8\uc77c \uc870\uac74\uc744 \uae30\uc900\uc73c\ub85c \uac12 \ud544\ud130\ub9c1<\/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>\ubc29\ubc95 2: \u201cOR\u201d \uc870\uac74\uc744 \uc0ac\uc6a9\ud558\uc5ec \uac12 \ud544\ud130\ub9c1<\/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>\ubc29\ubc95 3: \u201cAND\u201d \uc870\uac74\uc744 \uc0ac\uc6a9\ud558\uc5ec \uac12 \ud544\ud130\ub9c1<\/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>\ubc29\ubc95 4: \ubaa9\ub85d\uc5d0 \ud3ec\ud568\ub41c \uac12 \ud544\ud130\ub9c1<\/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;\">\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \ub2e4\uc74c NumPy \ubc30\uc5f4\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc2e4\uc81c\ub85c \uac01 \uba54\uc11c\ub4dc\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/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>\uc608\uc2dc 1: \uc870\uac74\uc5d0 \ub530\ub77c \uac12 \ud544\ud130\ub9c1<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \ub2e8\uc77c \uc870\uac74\uc744 \uae30\ubc18\uc73c\ub85c NumPy \ubc30\uc5f4 \uac12\uc744 \ud544\ud130\ub9c1\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/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>\uc608\uc2dc 2: \u201cOR\u201d \uc870\uac74\uc744 \uc0ac\uc6a9\ud558\uc5ec \uac12 \ud544\ud130\ub9c1<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 &#8220;OR&#8221; \uc870\uac74\uc744 \uc0ac\uc6a9\ud558\uc5ec NumPy \ubc30\uc5f4\uc758 \uac12\uc744 \ud544\ud130\ub9c1\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/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;\">\uc774 \ud544\ud130\ub294 5\ubcf4\ub2e4 \uc791 <strong>\uac70\ub098<\/strong> 9\ubcf4\ub2e4 \ud070 NumPy \ubc30\uc5f4 \uac12\uc744 \ubc18\ud658\ud569\ub2c8\ub2e4.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\uc608\uc2dc 3: \u201cAND\u201d \uc870\uac74\uc744 \uc0ac\uc6a9\ud558\uc5ec \uac12 \ud544\ud130\ub9c1<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 &#8220;AND&#8221; \uc870\uac74\uc744 \uc0ac\uc6a9\ud558\uc5ec NumPy \ubc30\uc5f4\uc758 \uac12\uc744 \ud544\ud130\ub9c1\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/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;\">\uc774 \ud544\ud130\ub294 NumPy \ubc30\uc5f4\uc5d0\uc11c 5 <b>\ubcf4\ub2e4<\/b> \ud06c\uace0 9\ubcf4\ub2e4 \uc791\uc740 \uac12\uc744 \ubc18\ud658\ud569\ub2c8\ub2e4.<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\uc608\uc2dc 4: \ubaa9\ub85d\uc5d0 \ud3ec\ud568\ub41c \uac12 \ud544\ud130\ub9c1<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \ubaa9\ub85d\uc5d0 \ud3ec\ud568\ub41c NumPy \ubc30\uc5f4 \uac12\uc744 \ud544\ud130\ub9c1\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/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;\">\uc774 \ud544\ud130\ub294 2, 3, 5, 12\uc640 \uac19\uc740 \uac12\ub9cc \ubc18\ud658\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\ucc38\uace0<\/strong> : <a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.in1d.html\" target=\"_blank\" rel=\"noopener\">\uc5ec\uae30\uc5d0\uc11c<\/a> NumPy <strong>in1d()<\/strong> \ud568\uc218\uc5d0 \ub300\ud55c \uc804\uccb4 \ubb38\uc11c\ub97c \ucc3e\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>\ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \ub2e4\ub978 \uc77c\ubc18\uc801\uc778 \ud544\ud130\ub9c1 \uc791\uc5c5\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/ko\/\u1106\u116e\u11ab\u110c\u1161\u110b\u1167\u11af\u110b\u1173\u11af-\u1111\u1169\u1112\u1161\u11b7\u1112\u1161\u1102\u1173\u11ab-\u1111\u1162\u11ab\u1103\u1165-\u1111\u1175\u11af\u1110\u1165-\u1105\u1161\u110b\u1175\u11ab\/\" target=\"_blank\" rel=\"noopener\">\ud2b9\uc815 \ubb38\uc790\uc5f4\uc774 \ud3ec\ud568\ub41c Pandas DataFrame \ud589\uc744 \ud544\ud130\ub9c1\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-\u110b\u1167\u1105\u1165-\u110c\u1169\u1100\u1165\u11ab\u110b\u1173\u11af-\u1111\u1175\u11af\u1110\u1165\u1105\u1175\u11bc\u1112\u1161\u11b8\u1102\u1175\u1103\u1161.\/\" target=\"_blank\" rel=\"noopener\">\uc5ec\ub7ec \uc870\uac74\uc5d0\uc11c Pandas DataFrame\uc744 \ud544\ud130\ub9c1\ud558\ub294 \ubc29\ubc95<\/a><br \/> <a href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1100\u1161-\u110b\u1165\u11b9\u1103\u1161\/\" target=\"_blank\" rel=\"noopener\">Pandas DataFrame\uc5d0\uc11c &#8220;NOT IN&#8221; \ud544\ud130\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ub2e4\uc74c \ubc29\ubc95\uc744 \uc0ac\uc6a9\ud558\uc5ec NumPy \ubc30\uc5f4\uc758 \uac12\uc744 \ud544\ud130\ub9c1\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ubc29\ubc95 1: \ub2e8\uc77c \uc870\uac74\uc744 \uae30\uc900\uc73c\ub85c \uac12 \ud544\ud130\ub9c1 #filter for values less than 5 my_array[my_array &lt; 5 ] \ubc29\ubc95 2: \u201cOR\u201d \uc870\uac74\uc744 \uc0ac\uc6a9\ud558\uc5ec \uac12 \ud544\ud130\ub9c1 #filter for values less than 5 or greater than 9 my_array[(my_array &lt; 5 ) | (my_array &gt; 9 )] \ubc29\ubc95 3: \u201cAND\u201d [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-3239","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>NumPy \ubc30\uc5f4\uc744 \ud544\ud130\ub9c1\ud558\ub294 \ubc29\ubc95(4\uac1c \uc608) - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \ud1b5\ud574 NumPy \ubc30\uc5f4\uc744 \ud544\ud130\ub9c1\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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