{"id":2466,"date":"2023-07-22T03:30:18","date_gmt":"2023-07-22T03:30:18","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%8b%e1%85%a7%e1%86%af-%e1%84%80%e1%85%a1%e1%86%b9%e1%84%8b%e1%85%b3%e1%84%85%e1%85%a9-%e1%84%83%e1%85%a6%e1%84%8b\/"},"modified":"2023-07-22T03:30:18","modified_gmt":"2023-07-22T03:30:18","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%8b%e1%85%a7%e1%86%af-%e1%84%80%e1%85%a1%e1%86%b9%e1%84%8b%e1%85%b3%e1%84%85%e1%85%a9-%e1%84%83%e1%85%a6%e1%84%8b","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%8b%e1%85%a7%e1%86%af-%e1%84%80%e1%85%a1%e1%86%b9%e1%84%8b%e1%85%b3%e1%84%85%e1%85%a9-%e1%84%83%e1%85%a6%e1%84%8b\/","title":{"rendered":"Pandas: dataframe\uc744 \uc5f4 \uac12\uc73c\ub85c \ubd84\ud560\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

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\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc744 \uc5f4 \uac12\uc73c\ub85c \ubd84\ud560\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 #define value to split on<\/span>\nx = 20\n\n#define df1 as DataFrame where 'column_name' is >= 20<\/span>\ndf1 = df[df[' column_name<\/span> '] >=<\/span> x]\n\n#define df2 as DataFrame where 'column_name' is < 20<\/span>\ndf2 = df[df[' column_name<\/span> '] <<\/span> x]\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: Pandas DataFrame\uc744 \uc5f4 \uac12\uc73c\ub85c \ubd84\ud560<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c\uacfc \uac19\uc740 \ud32c\ub354 DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'],\n                   ' points<\/span> ': [22, 24, 19, 18, 14, 29, 31, 16],\n                   ' rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n        team points rebounds\n0 to 22 11\n1 B 24 8\n2 C 19 10\n3 D 18 6\n4 E 14 6\n5 F 29 5\n6 G 31 9\n7:16:12<\/span><\/span><\/strong><\/pre>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec DataFrame\uc744 \ub450 \uac1c\uc758 DataFrame\uc73c\ub85c \ubd84\ud560\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc5ec\uae30\uc11c \uccab \ubc88\uc9f8\ub294 “\ud3ec\uc778\ud2b8”\uac00 20\ubcf4\ub2e4 \ud06c\uac70\ub098 \uac19\uc740 \ud589\uc744 \ud3ec\ud568\ud558\uace0 \ub450 \ubc88\uc9f8\ub294 “\ud3ec\uc778\ud2b8”\uac00 20\ubcf4\ub2e4 \uc791\uc740 \ud589\uc744 \ud3ec\ud568\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 #define value to split on<\/span>\nx = 20\n\n#define df1 as DataFrame where 'points' is >= 20<\/span>\ndf1 = df[df[' points<\/span> '] >=<\/span> x]\n\nprint<\/span> (df1)\n\n  team points rebounds\n0 to 22 11\n1 B 24 8\n5 F 29 5\n6 G 31 9\n\n#define df2 as DataFrame where 'points' is < 20<\/span>\ndf2 = df[df[' points<\/span> '] <<\/span> x]\n\nprint<\/span> (df2)\n\n  team points rebounds\n2 C 19 10\n3 D 18 6\n4 E 14 6\n7:16:12\n<\/strong><\/pre>\n
 Reset_index()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uac01 \uacb0\uacfc DataFrame\uc5d0 \ub300\ud55c \uc778\ub371\uc2a4 \uac12\uc744 \uc7ac\uc124\uc815\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #define value to split on<\/span>\nx = 20\n\n#define df1 as DataFrame where 'points' is >= 20<\/span>\ndf1 = df[df[' points<\/span> '] >=<\/span> x]. reset_index<\/span> (drop= True<\/span> )\n\nprint<\/span> (df1)\n\n  team points rebounds\n0 to 22 11\n1 B 24 8\n2 F 29 5\n3 G 31 9\n\n#define df2 as DataFrame where 'points' is < 20<\/span>\ndf2 = df[df[' points<\/span> '] <<\/span> x]. reset_index<\/span> (drop= True<\/span> )\n\nprint<\/span> (df2)\n\n  team points rebounds\n0 C 19 10\n1 D 18 6\n2 E 14 6\n3:16:12<\/strong><\/pre>\n
 \uac01 \uacb0\uacfc DataFrame\uc758 \uc778\ub371\uc2a4\ub294 \uc774\uc81c 0\uc5d0\uc11c \uc2dc\uc791\ud569\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":"
\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc744 \uc5f4 \uac12\uc73c\ub85c \ubd84\ud560\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. #define value to split on x = 20 #define df1 as DataFrame where ‘column_name’ is >= 20 df1 = df[df[‘ column_name ‘] >= x] #define df2 as DataFrame where ‘column_name’ is < 20 df2 = df[df[‘ column_name ‘] < x] \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc2e4\uc81c\ub85c \uc774 […]<\/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-2466","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPandas: DataFrame\uc744 \uc5f4 \uac12\uc73c\ub85c \ubd84\ud560\ud558\ub294 \ubc29\ubc95 - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc5ec\ub7ec \uc608\ub97c \ud1b5\ud574 pandas DataFrame\uc744 \uc5f4 \uac12\uc73c\ub85c \ubd84\ud560\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\" href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165\u1102\u1173\u11ab-\u110b\u1167\u11af-\u1100\u1161\u11b9\u110b\u1173\u1105\u1169-\u1103\u1166\u110b\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas: DataFrame\uc744 \uc5f4 \uac12\uc73c\ub85c \ubd84\ud560\ud558\ub294 \ubc29\ubc95 - 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