{"id":3004,"date":"2023-07-19T16:26:22","date_gmt":"2023-07-19T16:26:22","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%82%e1%85%b3%e1%86%ab-%e1%84%89%e1%85%b5%e1%84%85%e1%85%b5%e1%84%8c%e1%85%b3%e1%84%8b%e1%85%a6%e1%84%89%e1%85%a5-%e1%84%80%e1%85%a1%e1%84%8e%e1%85%b5\/"},"modified":"2023-07-19T16:26:22","modified_gmt":"2023-07-19T16:26:22","slug":"%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5%e1%84%82%e1%85%b3%e1%86%ab-%e1%84%89%e1%85%b5%e1%84%85%e1%85%b5%e1%84%8c%e1%85%b3%e1%84%8b%e1%85%a6%e1%84%89%e1%85%a5-%e1%84%80%e1%85%a1%e1%84%8e%e1%85%b5","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%82%e1%85%b3%e1%86%ab-%e1%84%89%e1%85%b5%e1%84%85%e1%85%b5%e1%84%8c%e1%85%b3%e1%84%8b%e1%85%a6%e1%84%89%e1%85%a5-%e1%84%80%e1%85%a1%e1%84%8e%e1%85%b5\/","title":{"rendered":"Pandas: \uc2dc\ub9ac\uc988\uc758 \uac00\uce58\ub97c \ud65c\uc6a9\ud558\ub294 \ubc29\ubc95(\uc608\uc81c 3\uac1c)"},"content":{"rendered":"

<\/p>\n

\n

\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc138 \uac00\uc9c0 \uc2dc\ub098\ub9ac\uc624\uc5d0\uc11c Pandas \uc2dc\ub9ac\uc988\uc5d0\uc11c \uac12\uc744 \uac00\uc838\uc624\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n

\ubc29\ubc95 1: \uc778\ub371\uc2a4\ub97c \uc0ac\uc6a9\ud558\uc5ec Pandas \uc2dc\ub9ac\uc988\uc5d0\uc11c \uac12 \uac00\uc838\uc624\uae30<\/strong><\/span><\/h3>\n

\ub2e4\uc74c \ucf54\ub4dc\ub294 \uc778\ub371\uc2a4 \uac12\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas \uc2dc\ub9ac\uc988\uc758 \uc138 \ubc88\uc9f8 \uc704\uce58 \uac12\uc744 \uac00\uc838\uc624\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\n\n#defineSeries\n<\/span>my_series = pd. Series<\/span> (['A', 'B', 'C', 'D', 'E'])\n\n#get third value in Series\n<\/span>print<\/span> (my_series[ 2<\/span> ])\n\nVS<\/strong><\/pre>\n
 \uc778\ub371\uc2a4 \uac12 2 \ub97c<\/strong> \uc9c0\uc815\ud558\uba74 pandas \uc2dc\ub9ac\uc988\uc5d0\uc11c \uc138 \ubc88\uc9f8 \uc704\uce58\uc758 \uac12\uc744 \ucd94\ucd9c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \ubc29\ubc95 2: \ubb38\uc790\uc5f4\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas \uc2dc\ub9ac\uc988\uc5d0\uc11c \uac12 \uac00\uc838\uc624\uae30<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 Pandas \uc2dc\ub9ac\uc988\uc758 \ud2b9\uc815 \ubb38\uc790\uc5f4\uc5d0 \ud574\ub2f9\ud558\ub294 \uac12\uc744 \uac00\uc838\uc624\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#defineSeries\n<\/span>my_series = pd. Series<\/span> ({'First':'A', 'Second':'B', 'Third':'C'})\n\n#get value that corresponds to 'Second'\n<\/span>print<\/span> (my_series[' Second<\/span> '])\n\nB<\/strong><\/pre>\n
 \uc774 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uba74 pandas \uc2dc\ub9ac\uc988\uc5d0\uc11c “Second”\uc5d0 \ud574\ub2f9\ud558\ub294 \uac12\uc744 \uc5bb\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/span><\/p>\n
 \ubc29\ubc95 3:<\/strong><\/span> DataFrame\uc5d0\uc11c Pandas \uc2dc\ub9ac\uc988 \uac12 \uac00\uc838\uc624\uae30<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 pandas DataFrame\uc758 \uc5f4\uc778 pandas \uc2dc\ub9ac\uc988\uc5d0\uc11c \uac12\uc744 \uac00\uc838\uc624\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({'team': ['Mavs', 'Spurs', 'Rockets', 'Heat', 'Nets'],\n                   'points': [100, 114, 121, 108, 101]})\n\n#view DataFrame<\/span>\nprint<\/span> (df)\n\n      team points\n0 Mavs 100\n1 Spurs 114\n2 Rockets 121\n3 Heat 108\n4 Nets 101\n\n#get 'Spurs' value from team column\n<\/span>df. loc<\/span> [df. team<\/span> ==' Spurs<\/span> ',' team<\/span> ']. values<\/span> [ 0<\/span> ]\n\n'Spurs'<\/b><\/span><\/pre>\n
 loc<\/strong> \ubc0f value<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uba74 DataFrame\uc758 “Spurs” \uac12\uc744 \uc5bb\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uad00\ub828 \ud56d\ubaa9:<\/strong>Pandas loc vs iloc: \ucc28\uc774\uc810\uc740 \ubb34\uc5c7\uc778\uac00\uc694?<\/a><\/span><\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/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
 Pandas \uc2dc\ub9ac\uc988\ub97c NumPy \ubc30\uc5f4\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95<\/a>
 Pandas DataFrame\uc758 \uccab \ubc88\uc9f8 \ud589\uc744 \uc5bb\ub294 \ubc29\ubc95<\/a>
 Pandas DataFrame\uc5d0\uc11c \uccab \ubc88\uc9f8 \uc5f4\uc744 \uc5bb\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc138 \uac00\uc9c0 \uc2dc\ub098\ub9ac\uc624\uc5d0\uc11c Pandas \uc2dc\ub9ac\uc988\uc5d0\uc11c \uac12\uc744 \uac00\uc838\uc624\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \ubc29\ubc95 1: \uc778\ub371\uc2a4\ub97c \uc0ac\uc6a9\ud558\uc5ec Pandas \uc2dc\ub9ac\uc988\uc5d0\uc11c \uac12 \uac00\uc838\uc624\uae30 \ub2e4\uc74c \ucf54\ub4dc\ub294 \uc778\ub371\uc2a4 \uac12\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas \uc2dc\ub9ac\uc988\uc758 \uc138 \ubc88\uc9f8 \uc704\uce58 \uac12\uc744 \uac00\uc838\uc624\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. import pandas as pd #defineSeries my_series = pd. Series ([‘A’, ‘B’, ‘C’, ‘D’, ‘E’]) #get third value in Series print (my_series[ 2 […]<\/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-3004","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPandas: \uc2dc\ub9ac\uc988\ub97c \ud65c\uc6a9\ud558\ub294 \ubc29\ubc95(\uc608\uc81c 3\uac1c) - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \ud1b5\ud574 pandas \uc2dc\ub9ac\uc988\uc5d0\uc11c \uac12\uc744 \uc5bb\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\" href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-\u1109\u1175\u1105\u1175\u110c\u1173\u110b\u1166\u1109\u1165-\u1100\u1161\u110e\u1175\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas: \uc2dc\ub9ac\uc988\ub97c \ud65c\uc6a9\ud558\ub294 \ubc29\ubc95(\uc608\uc81c 3\uac1c) - 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