{"id":2419,"date":"2023-07-22T08:31:15","date_gmt":"2023-07-22T08:31:15","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab-%e1%84%89%e1%85%a5%e1%86%ab%e1%84%92%e1%85%a7%e1%86%bc-%e1%84%87%e1%85%a9%e1%84%80%e1%85%a1%e1%86%ab\/"},"modified":"2023-07-22T08:31:15","modified_gmt":"2023-07-22T08:31:15","slug":"%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab-%e1%84%89%e1%85%a5%e1%86%ab%e1%84%92%e1%85%a7%e1%86%bc-%e1%84%87%e1%85%a9%e1%84%80%e1%85%a1%e1%86%ab","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab-%e1%84%89%e1%85%a5%e1%86%ab%e1%84%92%e1%85%a7%e1%86%bc-%e1%84%87%e1%85%a9%e1%84%80%e1%85%a1%e1%86%ab\/","title":{"rendered":"Python\uc5d0\uc11c \uc120\ud615 \ubcf4\uac04\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"

<\/p>\n

\n

\uc120\ud615 \ubcf4\uac04\ubc95\uc740<\/strong> \ub450 \uac1c\uc758 \uc54c\ub824\uc9c4 \uac12 \uc0ac\uc774\uc5d0\uc11c \ud568\uc218\uc758 \uc54c\ub824\uc9c0\uc9c0 \uc54a\uc740 \uac12\uc744 \ucd94\uc815\ud558\ub294 \ud504\ub85c\uc138\uc2a4\uc785\ub2c8\ub2e4.<\/span><\/p>\n

\ub450 \uac1c\uc758 \uc54c\ub824\uc9c4 \uac12 (x 1<\/sub> , y 1<\/sub> ) \ubc0f (x 2<\/sub> , y 2<\/sub> )\uc774 \uc8fc\uc5b4\uc9c0\uba74 \ub2e4\uc74c \uacf5\uc2dd\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc810 x\uc758 y \uac12\uc744 \ucd94\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

y = y 1<\/sub> + (xx 1<\/sub> )(y 2<\/sub> -y 1<\/sub> )\/(x 2<\/sub> -x 1<\/sub> )<\/span><\/p>\n

Python\uc5d0\uc11c \uc120\ud615 \ubcf4\uac04\uc744 \uc218\ud589\ud558\ub824\uba74 \ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 import<\/span> scipy. interpolate\n<\/span>\ny_interp = scipy. interpolate<\/span> . interp1d<\/span> (x,y)\n\n#find y-value associated with x-value of 13\n<\/span>print<\/span> (y_interp( 13<\/span> ))\n<\/strong><\/pre>\n
 \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc2e4\uc81c\ub85c \uc774 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608: Python\uc758 \uc120\ud615 \ubcf4\uac04<\/strong><\/span><\/h3>\n
 Python\uc5d0 \ub2e4\uc74c\uacfc \uac19\uc740 \ub450 \uac00\uc9c0 \uac12 \ubaa9\ub85d\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 x = [2, 4, 6, 8, 10, 12, 14, 16, 18, 20]\ny = [4, 7, 11, 16, 22, 29, 38, 49, 63, 80]\n<\/strong><\/pre>\n
 \ube60\ub978 x \ub300 y \ud50c\ub86f\uc744 \ub9cc\ub4e4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#create plot of x vs. y\n<\/span>plt. plot<\/span> (x, y, ' -ob<\/span> ')\n<\/span><\/span><\/strong><\/pre>\n
\"\"<\/p>\n
 \uc774\uc81c \uc0c8\ub85c\uc6b4 x \uac12 13<\/strong> \uacfc \uc5f0\uad00\ub41c y \uac12\uc744 \ucc3e\uace0 \uc2f6\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc774\ub97c \uc704\ud574 \ub2e4\uc74c \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> scipy. interpolate<\/span>\ny_interp = scipy. interpolate<\/span> . interp1d<\/span> (x,y)\n\n#find y-value associated with x-value of 13<\/span>\nprint<\/span> (y_interp( 13<\/span> ))\n\n33.5<\/strong><\/span><\/pre>\n
 \ucd94\uc815\ub41c y \uac12\uc740 33.5<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/p>\n
 \ud50c\ub86f\uc5d0 \uc810 (13, 33.5)\uc744 \ucd94\uac00\ud558\uba74 \ud568\uc218\uc640 \ub9e4\uc6b0 \uc798 \uc77c\uce58\ud558\ub294 \uac83 \uac19\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#create plot of x vs. y\n<\/span>plt. plot<\/span> (x, y, ' -ob<\/span> ')\n\n#add estimated y-value to plot<\/span>\nplt. plot<\/span> (13, 33.5, ' ro<\/span> ')\n<\/span><\/span><\/strong><\/pre>\n
\"\"<\/p>\n
 \uc774 \uc815\ud655\ud55c \uacf5\uc2dd\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc0c8\ub85c\uc6b4 x \uac12\uc5d0 \ub300\ud574 \uc120\ud615 \ubcf4\uac04\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc758 \ub2e4\ub978 \uc77c\ubc18\uc801\uc778 \uc624\ub958\ub97c \uc218\uc815\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 Pandas\uc5d0\uc11c KeyError\ub97c \uc218\uc815\ud558\ub294 \ubc29\ubc95<\/a>
 \ud574\uacb0 \ubc29\ubc95: ValueError: float NaN\uc744 int\ub85c \ubcc0\ud658\ud560 \uc218 \uc5c6\uc2b5\ub2c8\ub2e4.<\/a>
 \ud574\uacb0 \ubc29\ubc95: ValueError: \ud53c\uc5f0\uc0b0\uc790\ub97c \ubaa8\uc591\uacfc \ud568\uaed8 \ube0c\ub85c\ub4dc\uce90\uc2a4\ud2b8\ud560 \uc218 \uc5c6\uc2b5\ub2c8\ub2e4.<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\uc120\ud615 \ubcf4\uac04\ubc95\uc740 \ub450 \uac1c\uc758 \uc54c\ub824\uc9c4 \uac12 \uc0ac\uc774\uc5d0\uc11c \ud568\uc218\uc758 \uc54c\ub824\uc9c0\uc9c0 \uc54a\uc740 \uac12\uc744 \ucd94\uc815\ud558\ub294 \ud504\ub85c\uc138\uc2a4\uc785\ub2c8\ub2e4. \ub450 \uac1c\uc758 \uc54c\ub824\uc9c4 \uac12 (x 1 , y 1 ) \ubc0f (x 2 , y 2 )\uc774 \uc8fc\uc5b4\uc9c0\uba74 \ub2e4\uc74c \uacf5\uc2dd\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc810 x\uc758 y \uac12\uc744 \ucd94\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. y = y 1 + (xx 1 )(y 2 -y 1 )\/(x 2 -x […]<\/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-2419","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPython\uc5d0\uc11c \uc120\ud615 \ubcf4\uac04\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - \ud1b5\uacc4<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \uc120\ud615 \ubcf4\uac04\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc608\uc81c\uc640 \ud568\uaed8 \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\" href=\"https:\/\/statorials.org\/ko\/\u1111\u1161\u110b\u1175\u110a\u1165\u11ab-\u1109\u1165\u11ab\u1112\u1167\u11bc-\u1107\u1169\u1100\u1161\u11ab\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python\uc5d0\uc11c \uc120\ud615 \ubcf4\uac04\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - \ud1b5\uacc4\" \/>\n<meta property=\"og:description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \uc120\ud615 \ubcf4\uac04\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc608\uc81c\uc640 \ud568\uaed8 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ko\/\u1111\u1161\u110b\u1175\u110a\u1165\u11ab-\u1109\u1165\u11ab\u1112\u1167\u11bc-\u1107\u1169\u1100\u1161\u11ab\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-22T08:31:15+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/interpo1.png\" \/>\n<meta name=\"author\" content=\"\ubca4\uc790\ubbfc \uc564\ub354\uc2a8\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"\ubca4\uc790\ubbfc \uc564\ub354\uc2a8\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1\ubd84\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab-%e1%84%89%e1%85%a5%e1%86%ab%e1%84%92%e1%85%a7%e1%86%bc-%e1%84%87%e1%85%a9%e1%84%80%e1%85%a1%e1%86%ab\/\",\"url\":\"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a1%e1%84%8b%e1%85%b5%e1%84%8a%e1%85%a5%e1%86%ab-%e1%84%89%e1%85%a5%e1%86%ab%e1%84%92%e1%85%a7%e1%86%bc-%e1%84%87%e1%85%a9%e1%84%80%e1%85%a1%e1%86%ab\/\",\"name\":\"Python\uc5d0\uc11c \uc120\ud615 \ubcf4\uac04\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - 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