{"id":1168,"date":"2023-07-27T10:20:03","date_gmt":"2023-07-27T10:20:03","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%8b%e1%85%b4-%e1%84%8e%e1%85%a6%e1%84%80%e1%85%a8%e1%84%8c%e1%85%a5%e1%86%a8%e1%84%8b%e1%85%b5%e1%86%ab-%e1%84%89%e1%85%a2%e1%86%b7%e1%84%91%e1%85%b3\/"},"modified":"2023-07-27T10:20:03","modified_gmt":"2023-07-27T10:20:03","slug":"%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%8b%e1%85%b4-%e1%84%8e%e1%85%a6%e1%84%80%e1%85%a8%e1%84%8c%e1%85%a5%e1%86%a8%e1%84%8b%e1%85%b5%e1%86%ab-%e1%84%89%e1%85%a2%e1%86%b7%e1%84%91%e1%85%b3","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%8b%e1%85%b4-%e1%84%8e%e1%85%a6%e1%84%80%e1%85%a8%e1%84%8c%e1%85%a5%e1%86%a8%e1%84%8b%e1%85%b5%e1%86%ab-%e1%84%89%e1%85%a2%e1%86%b7%e1%84%91%e1%85%b3\/","title":{"rendered":"Pandas\uc758 \uccb4\uacc4\uc801\uc778 \uc0d8\ud50c\ub9c1(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"

<\/p>\n

\n

\uc5f0\uad6c\uc790\ub4e4\uc740 \uc885\uc885 \ubaa8\uc9d1\ub2e8\uc5d0\uc11c \ud45c\ubcf8\uc744<\/a> \ucc44\ucde8\ud558\uace0 \ud45c\ubcf8\uc758 \ub370\uc774\ud130\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubaa8\uc9d1\ub2e8 \uc804\uccb4\uc5d0 \ub300\ud55c \uacb0\ub860\uc744 \ub3c4\ucd9c\ud569\ub2c8\ub2e4.<\/span><\/p>\n

\uc77c\ubc18\uc801\uc73c\ub85c \uc0ac\uc6a9\ub418\ub294 \uc0d8\ud50c\ub9c1 \ubc29\ubc95\uc740 \uccb4\uacc4\uc801\uc778 \uc0d8\ud50c\ub9c1<\/strong> \uc73c\ub85c, \uac04\ub2e8\ud55c 2\ub2e8\uacc4 \ud504\ub85c\uc138\uc2a4\ub85c \uad6c\ud604\ub429\ub2c8\ub2e4.<\/span><\/p>\n

1.<\/strong> \ubaa8\uc9d1\ub2e8\uc758 \uac01 \uad6c\uc131\uc6d0\uc744 \ud2b9\uc815 \uc21c\uc11c\ub85c \ubc30\uce58\ud569\ub2c8\ub2e4.<\/span><\/p>\n

2.<\/strong> \uc784\uc758\uc758 \uc2dc\uc791\uc810\uc744 \uc120\ud0dd\ud558\uace0 n\uac1c \uc911<\/sup> \ud558\ub098\ub97c \ud45c\ubcf8\uc758 \uc77c\ubd80\ub85c \uc120\ud0dd\ud569\ub2c8\ub2e4.<\/span><\/p>\n

\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc758 Pandas DataFrame\uc5d0\uc11c \uccb4\uacc4\uc801\uc778 \uc0d8\ud50c\ub9c1\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n

\uc608: \ud32c\ub354 \uac04\uc758 \uccb4\uacc4\uc801\uc778 \uc0d8\ud50c\ub9c1<\/strong><\/span><\/h2>\n

\uad50\uc0ac\uac00 \ucd1d \ud559\uc0dd \uc218\uac00 500\uba85\uc778 \ud559\uad50\uc5d0\uc11c \ud559\uc0dd 100\uba85\uc758 \ud45c\ubcf8\uc744 \uc5bb\uace0 \uc2f6\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uadf8\ub140\ub294 \uac01 \ud559\uc0dd\uc744 \uc131\uc744 \uae30\uc900\uc73c\ub85c \uc54c\ud30c\ubcb3 \uc21c\uc11c\ub85c \ubc30\uce58\ud558\uace0 \ubb34\uc791\uc704\ub85c \uc2dc\uc791\uc810\uc744 \uc120\ud0dd\ud55c \ub2e4\uc74c \ud45c\ubcf8\uc5d0 \ud3ec\ud568\ub420 \ub9e4 5\ubc88\uc9f8 \ud559\uc0dd\uc744 \uc120\ud0dd\ud558\ub294 \uccb4\uacc4\uc801 \ud45c\ubcf8 \ucd94\ucd9c\uc744 \uc0ac\uc6a9\ud558\uae30\ub85c \uc120\ud0dd\ud588\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\ub2e4\uc74c \ucf54\ub4dc\ub294 Python\uc5d0\uc11c \uc791\uc5c5\ud560 \uac00\uc9dc \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\nimport<\/span> numpy as<\/span> np\nimport<\/span> string\nimport<\/span> random<\/span>\n\n#make this example reproducible<\/span>\nn.p. random<\/span> . seeds<\/span> (0)\n\n#create simple function to generate random last names\n<\/span>def<\/span> randomNames(size=6, chars=string. ascii_uppercase<\/span> ):\n    return<\/span> ''. join<\/span> (random. choice<\/span> (chars) for<\/span> _ in<\/span> range(size))\n\n#createDataFrame\n<\/span>df = pd.DataFrame({'last_name': [randomNames() for<\/span> _ in<\/span> range(500)],\n                   'GPA': np. random<\/span> . normal<\/span> (loc=85, scale=3, size=500)})\n\n#view first six rows of DataFrame<\/span>\ndf. head<\/span> ()\n\nlast_name GPA\n0 PXGPIV 86.667888\n1 JKRRQI 87.677422\n2 TRIZTC 83.733056\n3 YHUGIN 85.314142\n4 ZVUNVK 85.684160<\/strong><\/pre>\n
 \uadf8\ub9ac\uace0 \ub2e4\uc74c \ucf54\ub4dc\ub294 \uccb4\uacc4\uc801\uc778 \uc0d8\ud50c\ub9c1\uc744 \ud1b5\ud574 100\uba85\uc758 \ud559\uc0dd\uc73c\ub85c \uad6c\uc131\ub41c \uc0d8\ud50c\uc744 \uc5bb\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 #obtain systematic sample by selecting every 5th row\n<\/span>sys_sample_df = df. iloc<\/span> [::5]\n\n#view first six rows of DataFrame\n<\/span>sys_sample_df. head<\/span> ()\n\n   last_name gpa\n3 ORJFW 88.78065\n8 RWPSB 81.96988\n13 RACZU 79.21433\n18 ZOHKA 80.47246\n23 QJETK 87.09991\n28 JTHWB 83.87300\n\n#view dimensions of data frame\n<\/span>sys_sample_df. shape<\/span>\n\n(100, 2)\n<\/strong><\/pre>\n
 \uc0d8\ud50c\uc5d0 \ud3ec\ud568\ub41c \uccab \ubc88\uc9f8 \uba64\ubc84\ub294 \uc6d0\ubcf8 \ub370\uc774\ud130 \ud504\ub808\uc784\uc758 \uccab \ubc88\uc9f8 \ud589\uc5d0 \uc788\uc5c8\uc2b5\ub2c8\ub2e4. \uc0d8\ud50c\uc758 \uac01 \ub2e4\uc74c \uba64\ubc84\ub294 \uc774\uc804 \uba64\ubc84 \ub4a4\uc5d0 5\uc904 \ub4a4\uc5d0 \uc704\uce58\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \uadf8\ub9ac\uace0 Shape()\ub97c<\/strong> \uc0ac\uc6a9\ud558\uba74 \uc6b0\ub9ac\uac00 \uc5bb\uc740 \uccb4\uacc4\uc801 \uc0d8\ud50c\uc774 100\ud589\uacfc 2\uc5f4\uc758 \ub370\uc774\ud130 \ud504\ub808\uc784\uc784\uc744 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n
 \uc0d8\ud50c\ub9c1 \ubc29\ubc95\uc758 \uc720\ud615<\/a>
 \ud32c\ub354\uc758 \ud074\ub7ec\uc2a4\ud130 \uc0d8\ud50c\ub9c1<\/a>
 Pandas\uc758 \uacc4\uce35\ud654\ub41c \uc0d8\ud50c\ub9c1<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\uc5f0\uad6c\uc790\ub4e4\uc740 \uc885\uc885 \ubaa8\uc9d1\ub2e8\uc5d0\uc11c \ud45c\ubcf8\uc744 \ucc44\ucde8\ud558\uace0 \ud45c\ubcf8\uc758 \ub370\uc774\ud130\ub97c \uc0ac\uc6a9\ud558\uc5ec \ubaa8\uc9d1\ub2e8 \uc804\uccb4\uc5d0 \ub300\ud55c \uacb0\ub860\uc744 \ub3c4\ucd9c\ud569\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \uc0ac\uc6a9\ub418\ub294 \uc0d8\ud50c\ub9c1 \ubc29\ubc95\uc740 \uccb4\uacc4\uc801\uc778 \uc0d8\ud50c\ub9c1 \uc73c\ub85c, \uac04\ub2e8\ud55c 2\ub2e8\uacc4 \ud504\ub85c\uc138\uc2a4\ub85c \uad6c\ud604\ub429\ub2c8\ub2e4. 1. \ubaa8\uc9d1\ub2e8\uc758 \uac01 \uad6c\uc131\uc6d0\uc744 \ud2b9\uc815 \uc21c\uc11c\ub85c \ubc30\uce58\ud569\ub2c8\ub2e4. 2. \uc784\uc758\uc758 \uc2dc\uc791\uc810\uc744 \uc120\ud0dd\ud558\uace0 n\uac1c \uc911 \ud558\ub098\ub97c \ud45c\ubcf8\uc758 \uc77c\ubd80\ub85c \uc120\ud0dd\ud569\ub2c8\ub2e4. \uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc758 Pandas DataFrame\uc5d0\uc11c \uccb4\uacc4\uc801\uc778 \uc0d8\ud50c\ub9c1\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4. \uc608: \ud32c\ub354 \uac04\uc758 \uccb4\uacc4\uc801\uc778 […]<\/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-1168","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPandas\uc758 \uccb4\uacc4\uc801\uc778 \uc0d8\ud50c\ub9c1(\uc608\uc81c \ud3ec\ud568) - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Pandas\uc5d0\uc11c \uccb4\uacc4\uc801\uc778 \uc0d8\ud50c\ub9c1\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\u1162\u11ab\u1103\u1165\u110b\u1174-\u110e\u1166\u1100\u1168\u110c\u1165\u11a8\u110b\u1175\u11ab-\u1109\u1162\u11b7\u1111\u1173\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas\uc758 \uccb4\uacc4\uc801\uc778 \uc0d8\ud50c\ub9c1(\uc608\uc81c \ud3ec\ud568) - Statorials\" \/>\n<meta property=\"og:description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Pandas\uc5d0\uc11c \uccb4\uacc4\uc801\uc778 \uc0d8\ud50c\ub9c1\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\u1162\u11ab\u1103\u1165\u110b\u1174-\u110e\u1166\u1100\u1168\u110c\u1165\u11a8\u110b\u1175\u11ab-\u1109\u1162\u11b7\u1111\u1173\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-27T10:20:03+00:00\" \/>\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%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%8b%e1%85%b4-%e1%84%8e%e1%85%a6%e1%84%80%e1%85%a8%e1%84%8c%e1%85%a5%e1%86%a8%e1%84%8b%e1%85%b5%e1%86%ab-%e1%84%89%e1%85%a2%e1%86%b7%e1%84%91%e1%85%b3\/\",\"url\":\"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%8b%e1%85%b4-%e1%84%8e%e1%85%a6%e1%84%80%e1%85%a8%e1%84%8c%e1%85%a5%e1%86%a8%e1%84%8b%e1%85%b5%e1%86%ab-%e1%84%89%e1%85%a2%e1%86%b7%e1%84%91%e1%85%b3\/\",\"name\":\"Pandas\uc758 \uccb4\uacc4\uc801\uc778 \uc0d8\ud50c\ub9c1(\uc608\uc81c \ud3ec\ud568) - 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