{"id":2424,"date":"2023-07-22T08:04:10","date_gmt":"2023-07-22T08:04:10","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%86%e1%85%ae%e1%86%ab%e1%84%8c%e1%85%a1%e1%84%8b%e1%85%a7%e1%86%af%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%91%e1%85%a9%e1%84%92%e1%85%a1%e1%86%b7%e1%84%92%e1%85%a1%e1%84%82%e1%85%b3%e1%86%ab-%e1%84%91\/"},"modified":"2023-07-22T08:04:10","modified_gmt":"2023-07-22T08:04:10","slug":"%e1%84%86%e1%85%ae%e1%86%ab%e1%84%8c%e1%85%a1%e1%84%8b%e1%85%a7%e1%86%af%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%91%e1%85%a9%e1%84%92%e1%85%a1%e1%86%b7%e1%84%92%e1%85%a1%e1%84%82%e1%85%b3%e1%86%ab-%e1%84%91","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%86%e1%85%ae%e1%86%ab%e1%84%8c%e1%85%a1%e1%84%8b%e1%85%a7%e1%86%af%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%91%e1%85%a9%e1%84%92%e1%85%a1%e1%86%b7%e1%84%92%e1%85%a1%e1%84%82%e1%85%b3%e1%86%ab-%e1%84%91\/","title":{"rendered":"Pandas: \ud2b9\uc815 \ubb38\uc790\uc5f4\uc774 \ud3ec\ud568\ub41c \ud589\uc744 \ud544\ud130\ub9c1\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

\n

\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc5d0\uc11c \ud2b9\uc815 \ubb38\uc790\uc5f4\uc774 \ud3ec\ud568\ub41c \ud589\uc744 \ud544\ud130\ub9c1\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 df[df[\" col<\/span> \"]. str<\/span> . contains<\/span> (\u201c this string<\/span> \u201d)]\n<\/strong><\/pre>\n
 \uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \ub2e4\uc74c DataFrame\uacfc \ud568\uaed8 \uc774 \uad6c\ubb38\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'A', 'B', 'B', 'C'],\n                   ' conference<\/span> ': ['East', 'East', 'East', 'West', 'West', 'East'],\n                   ' points<\/span> ': [11, 8, 10, 6, 6, 5]})\n\n#view DataFrame\n<\/span>df\n\n        team conference points\n0 A East 11\n1 A East 8\n2 A East 10\n3 B West 6\n4 B West 6\n5 C East 5\n<\/strong><\/pre>\n
 \uc608 1: \ud2b9\uc815 \ubb38\uc790\uc5f4\uc774 \ud3ec\ud568\ub41c \ud589 \ud544\ud130\ub9c1<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \ud300 \uc5f4\uc5d0 “A”\uac00 \ud3ec\ud568\ub41c DataFrame\uc758 \ud589\uc744 \ud544\ud130\ub9c1\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 df[df[\" team<\/span> \"]. str<\/span> . contains<\/span> (\u201c A<\/span> \u201d)]\n\n\tteam conference points\n0 A East 11\n1 A East 8\n2 A East 10\n<\/strong><\/pre>\n
 \ud300 \uc5f4\uc5d0 ‘A’\uac00 \ud3ec\ud568\ub41c \uc904\ub9cc \uc720\uc9c0\ub429\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608 2: \ubaa9\ub85d\uc5d0 \ubb38\uc790\uc5f4\uc774 \ud3ec\ud568\ub41c \ud589 \ud544\ud130\ub9c1<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \ud300 \uc5f4\uc5d0 “A” \ub610\ub294 “B”\uac00 \ud3ec\ud568\ub41c DataFrame\uc758 \ud589\uc744 \ud544\ud130\ub9c1\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 df[df[\" team<\/span> \"]. str<\/span> . contains<\/span> (\u201c A|B<\/span> \u201d)]\n\n\tteam conference points\n0 A East 11\n1 A East 8\n2 A East 10\n3 B West 6\n4 B West 6\n<\/strong><\/pre>\n
 \ud300 \uc5f4\uc5d0 ‘A’ \ub610\ub294 ‘B’\uac00 \ud3ec\ud568\ub41c \uc904\ub9cc \uc720\uc9c0\ub429\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608\uc2dc 3: \ubd80\ubd84 \ubb38\uc790\uc5f4\uc774 \ud3ec\ud568\ub41c \ud589 \ud544\ud130\ub9c1<\/strong><\/span><\/h3>\n
 \uc774\uc804 \uc608\uc5d0\uc11c\ub294 \ud558\ub098 \uc774\uc0c1\uc758 \ubb38\uc790\uc5f4\uacfc \uc815\ud655\ud788 \uc77c\uce58\ud558\ub294 \ud589\uc744 \uae30\uc900\uc73c\ub85c \ud544\ud130\ub9c1\ud588\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uadf8\ub7ec\ub098 \ubd80\ubd84 \ubb38\uc790\uc5f4\uc774 \ud3ec\ud568\ub41c \ud589\uc744 \ud544\ud130\ub9c1\ud558\ub824\uba74 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #identify partial string to look for<\/span>\nkeep=[\" Wes<\/span> \"]\n\n#filter for rows that contain the partial string \"Wes\" in the conference column<\/span>\ndf[df. conference<\/span> . str<\/span> . contains<\/span> (' |<\/span> ' .join<\/span> (keep))]\n\n\tteam conference points\n3 B West 6\n4 B West 6<\/strong><\/pre>\n
 \ud68c\uc758 \uc5f4\uc5d0 “Wes”\uac00 \ud3ec\ud568\ub41c \uc904\ub9cc \uc720\uc9c0\ub429\ub2c8\ub2e4.<\/span><\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/span><\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Pandas\uc5d0\uc11c \ub2e4\ub978 \uc77c\ubc18\uc801\uc778 \uc791\uc5c5\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \uc870\uac74\uc5d0 \ub530\ub77c Pandas DataFrame\uc5d0\uc11c \ud589\uc744 \uc0ad\uc81c\ud558\ub294 \ubc29\ubc95<\/a>
 \uc5ec\ub7ec \uc870\uac74\uc5d0\uc11c Pandas DataFrame\uc744 \ud544\ud130\ub9c1\ud558\ub294 \ubc29\ubc95<\/a>
 Pandas DataFrame\uc5d0\uc11c “NOT IN” \ud544\ud130\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc5d0\uc11c \ud2b9\uc815 \ubb38\uc790\uc5f4\uc774 \ud3ec\ud568\ub41c \ud589\uc744 \ud544\ud130\ub9c1\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. df[df[” col “]. str . contains (\u201c this string \u201d)] \uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \ub2e4\uc74c DataFrame\uacfc \ud568\uaed8 \uc774 \uad6c\ubb38\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \uc124\uba85\ud569\ub2c8\ub2e4. import pandas as pd #createDataFrame df = pd. DataFrame ({‘ team ‘: [‘A’, ‘A’, ‘A’, ‘B’, ‘B’, ‘C’], ‘ conference […]<\/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-2424","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPandas: \ud2b9\uc815 \ubb38\uc790\uc5f4\uc774 \ud3ec\ud568\ub41c \ud589\uc744 \ud544\ud130\ub9c1\ud558\ub294 \ubc29\ubc95 \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc608\uc81c\ub97c \ud3ec\ud568\ud558\uc5ec \ud2b9\uc815 \ubb38\uc790\uc5f4\uc774 \ud3ec\ud568\ub41c \ud589\uc5d0 \ub300\ud574 Pandas DataFrame\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 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content=\"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\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-22T08:04:10+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\" 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Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/ko\/#website\"},\"datePublished\":\"2023-07-22T08:04:10+00:00\",\"dateModified\":\"2023-07-22T08:04:10+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/ko\/#\/schema\/person\/600556789b7d79cbaa9d9f0c721b74f4\"},\"description\":\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc608\uc81c\ub97c \ud3ec\ud568\ud558\uc5ec \ud2b9\uc815 \ubb38\uc790\uc5f4\uc774 \ud3ec\ud568\ub41c \ud589\uc5d0 \ub300\ud574 Pandas DataFrame\uc744 \ud544\ud130\ub9c1\ud558\ub294 \ubc29\ubc95\uc744 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