{"id":3557,"date":"2023-07-16T20:27:29","date_gmt":"2023-07-16T20:27:29","guid":{"rendered":"https:\/\/statorials.org\/ko\/typeerror%e1%84%8b%e1%85%b4-%e1%84%8e%e1%85%a5%e1%86%ba-%e1%84%87%e1%85%a5%e1%86%ab%e1%84%8d%e1%85%a2-%e1%84%8b%e1%85%b5%e1%86%ab%e1%84%89%e1%85%ae%e1%84%82%e1%85%b3%e1%86%ab-pandas-%e1%84%80%e1%85%a2\/"},"modified":"2023-07-16T20:27:29","modified_gmt":"2023-07-16T20:27:29","slug":"typeerror%e1%84%8b%e1%85%b4-%e1%84%8e%e1%85%a5%e1%86%ba-%e1%84%87%e1%85%a5%e1%86%ab%e1%84%8d%e1%85%a2-%e1%84%8b%e1%85%b5%e1%86%ab%e1%84%89%e1%85%ae%e1%84%82%e1%85%b3%e1%86%ab-pandas-%e1%84%80%e1%85%a2","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/typeerror%e1%84%8b%e1%85%b4-%e1%84%8e%e1%85%a5%e1%86%ba-%e1%84%87%e1%85%a5%e1%86%ab%e1%84%8d%e1%85%a2-%e1%84%8b%e1%85%b5%e1%86%ab%e1%84%89%e1%85%ae%e1%84%82%e1%85%b3%e1%86%ab-pandas-%e1%84%80%e1%85%a2\/","title":{"rendered":"\ud574\uacb0 \ubc29\ubc95: \uccab \ubc88\uc9f8 \uc778\uc218\ub294 \ud32c\ub354 \uac1d\uccb4\uc758 \ubc18\ubcf5 \uac00\ub2a5\uc774\uc5b4\uc57c \ud558\uba70 "dataframe" \uc720\ud615\uc758 \uac1d\uccb4\ub97c \uc804\ub2ec\ud588\uc2b5\ub2c8\ub2e4."},"content":{"rendered":"

<\/p>\n

\n

Python\uc744 \uc0ac\uc6a9\ud560 \ub54c \ubc1c\uc0dd\ud560 \uc218 \uc788\ub294 \uc77c\ubc18\uc801\uc778 \uc624\ub958\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 TypeError: first argument must be an iterable of pandas objects, you passed an object\n           of type \"DataFrame\"\n<\/strong><\/span><\/pre>\n
 \uc774 \uc624\ub958\ub294 \uc77c\ubc18\uc801\uc73c\ub85c DataFrame \uc774\ub984\uc744 \uad04\ud638 \uc548\uc5d0 \ub123\uc9c0 \uc54a\uace0 concat()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub450 \uac1c\uc758 Pandas DataFrame\uc744 \ud568\uaed8 \ucd94\uac00\ud558\ub824\uace0 \ud560 \ub54c \ubc1c\uc0dd\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc2e4\uc81c\ub85c \uc774 \uc624\ub958\ub97c \ud574\uacb0\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 \uc624\ub958\ub97c \uc7ac\ud604\ud558\ub294 \ubc29\ubc95<\/strong><\/span><\/h2>\n
 \ub2e4\uc74c \ub450 \uac1c\uc758 \ud32c\ub354 DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#create first DataFrame\n<\/span>df1 = pd. DataFrame<\/span> ({' x<\/span> ': [25, 14, 16, 27, 20,15, 14],\n                    ' y<\/span> ': [5, 7, 7, 5, 7, 6, 9],\n                    ' z<\/span> ': [8, 8, 10, 6, 6, 9, 6]})\n\nprint<\/span> (df1)\n\n    X Y Z\n0 25 5 8\n1 14 7 8\n2 16 7 10\n3 27 5 6\n4 20 7 6\n5 15 6 9\n6 14 9 6\n\n#create second DataFrame \n<\/span>df2 = pd. DataFrame<\/span> ({' x<\/span> ': [58, 60, 65],\n                    ' y<\/span> ': [14, 22, 23],\n                    ' z<\/span> ': [9, 12, 19]})\n\nprint<\/span> (df2)\n\n    X Y Z\n0 58 14 9\n1 60 22 12\n2 65 23 19\n<\/span><\/span><\/strong><\/pre>\n
 \uc774\uc81c concat()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub450 \uac1c\uc758 DataFrame\uc744 \ub2e8\uc77c DataFrame\uc5d0 \ucd94\uac00\ud558\ub824\uace0 \ud55c\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 #attempt to add two DataFrames together\n<\/span>combined = pd. concat<\/span> (df1, df2, ignore_index= True<\/span> )\n\n#view final DataFrame\n<\/span>print<\/span> (combined)\n\nTypeError: first argument must be an iterable of pandas objects, you passed an object<\/span>\nof type \"DataFrame\"\n<\/span><\/span><\/strong><\/pre>\n
 concat()<\/strong> \ud568\uc218\uc5d0\uc11c DataFrame \uc774\ub984\uc744 \uad04\ud638\ub85c \ubb36\ub294 \ub370 \uc2e4\ud328\ud588\uae30 \ub54c\ubb38\uc5d0 \uc624\ub958\uac00 \ubc1c\uc0dd\ud588\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc624\ub958\ub97c \uc218\uc815\ud558\ub294 \ubc29\ubc95<\/strong><\/span><\/h2>\n
 \uc774 \uc624\ub958\ub97c \ud574\uacb0\ud558\ub294 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc774 concat()<\/strong> \ud568\uc218\uc5d0\uc11c DataFrame \uc774\ub984\uc744 \ub300\uad04\ud638\ub85c \ubb36\ub294 \uac83\uc785\ub2c8\ub2e4.<\/span><\/p>\n
 #append two DataFrames together\n<\/span>combined = pd. concat<\/span> ([df1, df2], ignore_index= True<\/span> )\n\n#view final DataFrame\n<\/span>print<\/span> (combined)\n\n    X Y Z\n0 25 5 8\n1 14 7 8\n2 16 7 10\n3 27 5 6\n4 20 7 6\n5 15 6 9\n6 14 9 6\n7 58 14 9\n8 60 22 12\n9 65 23 19<\/span><\/span><\/strong><\/pre>\n
 \uc774\ubc88\uc5d0\ub294 \uc624\ub958 \uc5c6\uc774 \ub450 DataFrame\uc744 \uc131\uacf5\uc801\uc73c\ub85c \uacb0\ud569\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h2>\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
 Python\uc5d0\uc11c \uc218\uc815\ud558\ub294 \ubc29\ubc95: ‘numpy.ndarray’ \uac1c\uccb4\ub97c \ud638\ucd9c\ud560 \uc218 \uc5c6\uc2b5\ub2c8\ub2e4.<\/a>
 \uc218\uc815 \ubc29\ubc95: TypeError: ‘numpy.float64’ \uac1c\uccb4\ub97c \ud638\ucd9c\ud560 \uc218 \uc5c6\uc2b5\ub2c8\ub2e4.<\/a>
 \uc218\uc815 \ubc29\ubc95: \uc720\ud615 \uc624\ub958: \uc608\uc0c1 \ubb38\uc790\uc5f4 \ub610\ub294 \ubc14\uc774\ud2b8 \uac1c\uccb4<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Python\uc744 \uc0ac\uc6a9\ud560 \ub54c \ubc1c\uc0dd\ud560 \uc218 \uc788\ub294 \uc77c\ubc18\uc801\uc778 \uc624\ub958\ub294 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4. TypeError: first argument must be an iterable of pandas objects, you passed an object of type “DataFrame” \uc774 \uc624\ub958\ub294 \uc77c\ubc18\uc801\uc73c\ub85c DataFrame \uc774\ub984\uc744 \uad04\ud638 \uc548\uc5d0 \ub123\uc9c0 \uc54a\uace0 concat() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub450 \uac1c\uc758 Pandas DataFrame\uc744 \ud568\uaed8 \ucd94\uac00\ud558\ub824\uace0 \ud560 \ub54c \ubc1c\uc0dd\ud569\ub2c8\ub2e4. \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc2e4\uc81c\ub85c \uc774 \uc624\ub958\ub97c \ud574\uacb0\ud558\ub294 \ubc29\ubc95\uc744 […]<\/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-3557","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\n\ud574\uacb0 \ubc29\ubc95: \uccab \ubc88\uc9f8 \uc778\uc218\ub294 \ud32c\ub354 \uac1d\uccb4\uc758 \ubc18\ubcf5 \uac00\ub2a5\uc774\uc5b4\uc57c \ud558\uba70 "DataFrame" \uc720\ud615\uc758 \uac1d\uccb4\ub97c \uc804\ub2ec\ud588\uc2b5\ub2c8\ub2e4. - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \ub2e4\uc74c \uc624\ub958\ub97c \uc218\uc815\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4. \uccab \ubc88\uc9f8 \uc778\uc218\ub294 pandas \uac1d\uccb4\uc758 \ubc18\ubcf5 \uac00\ub2a5\uc774\uc5b4\uc57c \ud558\uba70 "DataFrame" \uc720\ud615\uc758 \uac1d\uccb4\ub97c \uc804\ub2ec\ud588\uc2b5\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\/typeerror\u110b\u1174-\u110e\u1165\u11ba-\u1107\u1165\u11ab\u110d\u1162-\u110b\u1175\u11ab\u1109\u116e\u1102\u1173\u11ab-pandas-\u1100\u1162\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\ud574\uacb0 \ubc29\ubc95: \uccab \ubc88\uc9f8 \uc778\uc218\ub294 \ud32c\ub354 \uac1d\uccb4\uc758 \ubc18\ubcf5 \uac00\ub2a5\uc774\uc5b4\uc57c \ud558\uba70 "DataFrame" \uc720\ud615\uc758 \uac1d\uccb4\ub97c \uc804\ub2ec\ud588\uc2b5\ub2c8\ub2e4. - 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