{"id":2185,"date":"2023-07-23T08:16:08","date_gmt":"2023-07-23T08:16:08","guid":{"rendered":"https:\/\/statorials.org\/ko\/pandas-typeerror-%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba%e1%84%92%e1%85%a1%e1%86%af-%e1%84%89%e1%85%ae%e1%86%ba%e1%84%8c%e1%85%a1-%e1%84%83%e1%85%a6%e1%84%8b%e1%85%b5%e1%84%90%e1%85%a5\/"},"modified":"2023-07-23T08:16:08","modified_gmt":"2023-07-23T08:16:08","slug":"pandas-typeerror-%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba%e1%84%92%e1%85%a1%e1%86%af-%e1%84%89%e1%85%ae%e1%86%ba%e1%84%8c%e1%85%a1-%e1%84%83%e1%85%a6%e1%84%8b%e1%85%b5%e1%84%90%e1%85%a5","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/pandas-typeerror-%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba%e1%84%92%e1%85%a1%e1%86%af-%e1%84%89%e1%85%ae%e1%86%ba%e1%84%8c%e1%85%a1-%e1%84%83%e1%85%a6%e1%84%8b%e1%85%b5%e1%84%90%e1%85%a5\/","title":{"rendered":"Pandas\uc5d0\uc11c \uc218\uc815\ud558\ub294 \ubc29\ubc95: typeerror: \ud50c\ub86f\ud560 \uc22b\uc790 \ub370\uc774\ud130\uac00 \uc5c6\uc2b5\ub2c8\ub2e4."},"content":{"rendered":"

<\/p>\n

\n

pandas\ub97c \uc0ac\uc6a9\ud560 \ub54c \ubc1c\uc0dd\ud560 \uc218 \uc788\ub294 \uc624\ub958\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 TypeError<\/span> : no numeric data to plot<\/strong><\/pre>\n
 \uc774 \uc624\ub958\ub294 Pandas DataFrame\uc5d0\uc11c \uac12\uc744 \ud50c\ub86f\ud558\ub824\uace0 \uc2dc\ub3c4\ud588\uc9c0\ub9cc \ud50c\ub86f\ud560 \uc22b\uc790 \uac12\uc774 \uc5c6\uc744 \ub54c \ubc1c\uc0dd\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \uc774 \uc624\ub958\ub294 \uc77c\ubc18\uc801\uc73c\ub85c DataFrame\uc758 \ud2b9\uc815 \uc5f4\uc774 \uc22b\uc790\ub77c\uace0 \uc0dd\uac01\ud588\uc9c0\ub9cc \ub370\uc774\ud130 \uc720\ud615\uc774 \ub2e4\ub978 \uac83\uc73c\ub85c \ud310\uba85\ub420 \ub54c \ubc1c\uc0dd\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc2e4\uc81c\ub85c \uc774 \uc624\ub958\ub97c \uc218\uc815\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 \uc624\ub958\ub97c \uc7ac\ud604\ud558\ub294 \ubc29\ubc95<\/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\n<\/span>df = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'B', 'B', 'B'],\n                   ' points<\/span> ': ['5', '7', '7', '9', '12'],\n                   ' rebounds<\/span> ': ['11', '8', '10', '6', '6'],\n                   ' blocks<\/span> ': ['4', '7', '7', '6', '5']})\n\n#view DataFrame\n<\/span>df\n\n\tteam points rebound blocks\n0 A 5 11 4\n1 To 7 8 7\n2 B 7 10 7\n3 B 9 6 6\n4 B 12 6 5\n<\/span><\/span><\/strong><\/pre>\n
 \uc774\uc81c \uc22b\uc790\ub77c\uace0 \uc0dd\uac01\ub418\ub294 \uc138 \uac00\uc9c0 \ubcc0\uc218(\uc810, \ubc14\uc6b4\uc2a4 \ubc0f \ube14\ub85d)\uc5d0 \ub300\ud55c \uc120\ud615 \ud50c\ub86f\uc744 \uc0dd\uc131\ud558\ub824\uace0 \ud55c\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 #attempt to create line plot for points, rebounds, and blocks\ndf[[' points<\/span> ', ' rebounds<\/span> ', ' blocks<\/span> ']]. plot<\/span> ()\n\nValueError<\/span> : no numeric data to plot\n<\/span><\/span><\/strong><\/pre>\n
 \uc774 \uc5f4 \uc911 \uc2e4\uc81c\ub85c \uc22b\uc790\uac00 \uc544\ub2c8\uae30 \ub54c\ubb38\uc5d0 \uc624\ub958\uac00 \ubc1c\uc0dd\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \uc624\ub958\ub97c \uc218\uc815\ud558\ub294 \ubc29\ubc95<\/strong><\/span><\/h3>\n
 dtypes<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec DataFrame\uc758 \uac01 \uc5f4\uc774 \uc5b4\ub5a4 \ub370\uc774\ud130 \uc720\ud615\uc5d0 \uc18d\ud558\ub294\uc9c0 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #display data type of each column in DataFrame\ndf. dtypes\n\nteam object\npoints object\nrebound object\nblocks object\ndtype:object\n<\/span><\/span><\/span><\/span><\/strong><\/pre>\n
 DataFrame\uc758 \uc5b4\ub5a4 \uc5f4\ub3c4 \uc22b\uc790\uac00 \uc544\ub2c8\ub77c\ub294 \uac83\uc744 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 .astype()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud2b9\uc815 \uc5f4\uc744 \uc22b\uc790 \uac12\uc73c\ub85c \ubcc0\ud658\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #convert points, rebounds, and blocks columns to numeric\ndf[' points<\/span> ']=df[' points<\/span> ']. astype<\/span> (float)\ndf[' rebounds<\/span> ']=df[' rebounds<\/span> ']. astype<\/span> (float)\ndf[' blocks<\/span> ']=df[' blocks<\/span> ']. astype<\/span> (float)<\/span><\/span><\/strong><\/pre>\n
 \uadf8\ub7f0 \ub2e4\uc74c \ud50c\ub86f()<\/strong> \ud568\uc218\ub97c \uc7ac\uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n
 #create line plot for points, rebounds, and blocks\ndf[[' points<\/span> ', ' rebounds<\/span> ', ' blocks<\/span> ']]. plot<\/span> ()<\/span><\/span><\/strong> <\/pre>\n
\"\"<\/p>\n
 \uc774\uc81c \uac01 \ubcc0\uc218\uac00 \uc22b\uc790\uc774\uae30 \ub54c\ubb38\uc5d0 \uc810, \ubc14\uc6b4\uc2a4 \ubc0f \ube14\ub85d\uc5d0 \ub300\ud55c \uc120\ud615 \ud50c\ub86f\uc744 \uc131\uacf5\uc801\uc73c\ub85c \uc0dd\uc131\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 dtypes<\/strong> \ud568\uc218\ub97c \ub2e4\uc2dc \uc0ac\uc6a9\ud558\uc5ec \uc774\ub97c \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4:<\/span><\/p>\n
 #display data type of each column in DataFrame\ndf. dtypes\n\nteam object\nfloat64 points\nrebounds float64\nblocks float64\ndtype:object\n<\/span><\/span><\/span><\/span><\/strong><\/pre>\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>
 \uc218\uc815 \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":"
pandas\ub97c \uc0ac\uc6a9\ud560 \ub54c \ubc1c\uc0dd\ud560 \uc218 \uc788\ub294 \uc624\ub958\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4. TypeError : no numeric data to plot \uc774 \uc624\ub958\ub294 Pandas DataFrame\uc5d0\uc11c \uac12\uc744 \ud50c\ub86f\ud558\ub824\uace0 \uc2dc\ub3c4\ud588\uc9c0\ub9cc \ud50c\ub86f\ud560 \uc22b\uc790 \uac12\uc774 \uc5c6\uc744 \ub54c \ubc1c\uc0dd\ud569\ub2c8\ub2e4. \uc774 \uc624\ub958\ub294 \uc77c\ubc18\uc801\uc73c\ub85c DataFrame\uc758 \ud2b9\uc815 \uc5f4\uc774 \uc22b\uc790\ub77c\uace0 \uc0dd\uac01\ud588\uc9c0\ub9cc \ub370\uc774\ud130 \uc720\ud615\uc774 \ub2e4\ub978 \uac83\uc73c\ub85c \ud310\uba85\ub420 \ub54c \ubc1c\uc0dd\ud569\ub2c8\ub2e4. \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc2e4\uc81c\ub85c \uc774 \uc624\ub958\ub97c \uc218\uc815\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uc624\ub958\ub97c \uc7ac\ud604\ud558\ub294 \ubc29\ubc95 […]<\/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-2185","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPandas\uc5d0\uc11c \uc218\uc815\ud558\ub294 \ubc29\ubc95: TypeError: \ud50c\ub86f\ud560 \uc22b\uc790 \ub370\uc774\ud130\uac00 \uc5c6\uc2b5\ub2c8\ub2e4 - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 pandas\uc5d0\uc11c \ub2e4\uc74c \uc624\ub958\ub97c \uc218\uc815\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4. TypeError: No \uc22b\uc790 \ub370\uc774\ud130\ub97c \ud45c\uc2dc\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\/pandas-typeerror-\u1111\u1173\u11af\u1105\u1169\u11ba\u1112\u1161\u11af-\u1109\u116e\u11ba\u110c\u1161-\u1103\u1166\u110b\u1175\u1110\u1165\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas\uc5d0\uc11c \uc218\uc815\ud558\ub294 \ubc29\ubc95: TypeError: \ud50c\ub86f\ud560 \uc22b\uc790 \ub370\uc774\ud130\uac00 \uc5c6\uc2b5\ub2c8\ub2e4 - Statorials\" \/>\n<meta property=\"og:description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 pandas\uc5d0\uc11c \ub2e4\uc74c \uc624\ub958\ub97c \uc218\uc815\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4. 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