{"id":2869,"date":"2023-07-20T07:55:51","date_gmt":"2023-07-20T07:55:51","guid":{"rendered":"https:\/\/statorials.org\/ko\/object-%e1%84%86%e1%85%b5%e1%86%be-int64-%e1%84%8b%e1%85%a7%e1%86%af%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%87%e1%85%a7%e1%86%bc%e1%84%92%e1%85%a1%e1%86%b8%e1%84%92%e1%85%a1%e1%84%85%e1%85%a7%e1%84%80\/"},"modified":"2023-07-20T07:55:51","modified_gmt":"2023-07-20T07:55:51","slug":"object-%e1%84%86%e1%85%b5%e1%86%be-int64-%e1%84%8b%e1%85%a7%e1%86%af%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%87%e1%85%a7%e1%86%bc%e1%84%92%e1%85%a1%e1%86%b8%e1%84%92%e1%85%a1%e1%84%85%e1%85%a7%e1%84%80","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/object-%e1%84%86%e1%85%b5%e1%86%be-int64-%e1%84%8b%e1%85%a7%e1%86%af%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%87%e1%85%a7%e1%86%bc%e1%84%92%e1%85%a1%e1%86%b8%e1%84%92%e1%85%a1%e1%84%85%e1%85%a7%e1%84%80\/","title":{"rendered":"\ud574\uacb0 \ubc29\ubc95: \uac1c\uccb4\uc640 int64 \uc5f4\uc744 \ubcd1\ud569\ud558\ub824\uace0 \ud569\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

 ValueError<\/span> : You are trying to merge on int64 and object columns.\n            If you wish to proceed you should use pd.concat\n<\/strong><\/pre>\n
 \uc774 \uc624\ub958\ub294 \ub450 \uac1c\uc758 Pandas DataFrame\uc744 \ubcd1\ud569\ud558\ub824\uace0 \ud558\ub294\ub370 \ubcd1\ud569\ud558\ub824\ub294 \uc5f4\uc774 \ud55c DataFrame\uc758 \uac1c\uccb4\uc774\uace0 \ub2e4\ub978 DataFrame\uc758 \uc815\uc218\uc77c \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 \ub450 \uac1c\uc758 Panda DataFrame\uc744 \uc0dd\uc131\ud55c\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf1 = pd. DataFrame<\/span> ({' year<\/span> ': [2015, 2016, 2017, 2018, 2019, 2020, 2021],\n                    ' sales<\/span> ': [500, 534, 564, 671, 700, 840, 810]})\n\ndf2 = pd. DataFrame<\/span> ({' year<\/span> ': ['2015', '2016', '2017', '2018', '2019', '2020', '2021'],\n                    ' refunds<\/span> ': [31, 36, 40, 40, 43, 70, 62]})\n\n#view DataFrames\n<\/span>print<\/span> (df1)\n\n   year sales\n0 2015 500\n1 2016 534\n2 2017 564\n3 2018 671\n4 2019 700\n5,2020 840\n6 2021 810\n\nprint<\/span> (df2)\n\n   year refunds\n0 2015 31\n1 2016 36\n2 2017 40\n3 2018 40\n4 2019 43\n5 2020 70\n6 2021 62<\/strong><\/pre>\n
 \uc774\uc81c \ub450 DataFrame\uc744 \ubcd1\ud569\ud558\ub824\uace0 \ud55c\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 #attempt to merge two DataFrames\n<\/span>big_df = df1. merge<\/span> (df2, on=' year<\/span> ', how=' left<\/span> ')\n\nValueError<\/span> : You are trying to merge on int64 and object columns.\n            If you wish to proceed you should use pd.concat\n<\/span><\/span><\/strong><\/pre>\n
 \uccab \ubc88\uc9f8 DataFrame\uc758 \uc5f0\ub3c4<\/strong> \ubcc0\uc218\ub294 \uc815\uc218\uc774\uc9c0\ub9cc \ub450 \ubc88\uc9f8 DataFrame\uc758 \uc5f0\ub3c4<\/strong> \ubcc0\uc218\ub294 \uac1d\uccb4\uc774\uae30 \ub54c\ubb38\uc5d0 ValueError\uac00<\/strong> \ubc1c\uc0dd\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \uc624\ub958\ub97c \uc218\uc815\ud558\ub294 \ubc29\ubc95<\/strong><\/span><\/h3>\n
 \uc774 \uc624\ub958\ub97c \ud574\uacb0\ud558\ub294 \uac00\uc7a5 \uc26c\uc6b4 \ubc29\ubc95\uc740 \ub450 \ubc88\uc9f8 DataFrame\uc758 \uc5f0\ub3c4<\/strong> \ubcc0\uc218\ub97c \uc815\uc218\ub85c \ubcc0\ud658\ud55c \ub2e4\uc74c \ubcd1\ud569\uc744 \uc218\ud589\ud558\ub294 \uac83\uc785\ub2c8\ub2e4.<\/span><\/p>\n
 \ub2e4\uc74c \uad6c\ubb38\uc740 \uc774\ub97c \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 #convert year variable in df2 to integer\n<\/span>df2[' year<\/span> ']=df2[' year<\/span> ']. astype<\/span> (int)\n\n#merge two DataFrames\n<\/span>big_df = df1. merge<\/span> (df2, on=' year<\/span> ', how=' left<\/span> ')\n\n#view merged DataFrame\n<\/span>big_df\n\n\tyear sales refunds\n0 2015 500 31\n1 2016 534 36\n2 2017 564 40\n3 2018 671 40\n4 2019 700 43\n5 2020 840 70\n6 2021 810 62<\/span><\/span><\/strong><\/pre>\n
 ValueError<\/strong> \ub294 \uc804\ud600 \uc218\uc2e0\ub418\uc9c0 \uc54a\uc558\uc73c\uba70 \ub450 DataFrame\uc744 \ud558\ub098\ub85c \uc131\uacf5\uc801\uc73c\ub85c \ubcd1\ud569\ud588\uc2b5\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
 \uc218\uc815\ubc29\ubc95: \uc5f4\uc774 \uacb9\uce58\ub294\ub370 \uc811\ubbf8\uc0ac\uac00 \uc9c0\uc815\ub418\uc9c0 \uc54a\uc74c<\/a>
 \uc218\uc815 \ubc29\ubc95: ‘numpy.ndarray’ \uac1c\uccb4\uc5d0 ‘append’ \uc18d\uc131\uc774 \uc5c6\uc2b5\ub2c8\ub2e4.<\/a>
 \ud574\uacb0 \ubc29\ubc95: \ubaa8\ub4e0 \uc2a4\uce7c\ub77c \uac12\uc744 \uc0ac\uc6a9\ud558\ub294 \uacbd\uc6b0 \uc778\ub371\uc2a4\ub97c \uc804\ub2ec\ud574\uc57c \ud569\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. ValueError : You are trying to merge on int64 and object columns. If you wish to proceed you should use pd.concat \uc774 \uc624\ub958\ub294 \ub450 \uac1c\uc758 Pandas DataFrame\uc744 \ubcd1\ud569\ud558\ub824\uace0 \ud558\ub294\ub370 \ubcd1\ud569\ud558\ub824\ub294 \uc5f4\uc774 \ud55c DataFrame\uc758 \uac1c\uccb4\uc774\uace0 \ub2e4\ub978 DataFrame\uc758 \uc815\uc218\uc77c \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 […]<\/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-2869","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\n\ud574\uacb0 \ubc29\ubc95: \uac1d\uccb4\uc640 int64 \uc5f4\uc744 \ubcd1\ud569\ud558\ub824\uace0 \ud569\ub2c8\ub2e4. - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 pandas\uc5d0\uc11c "\uac1d\uccb4\uc640 int64 \uc5f4\uc744 \ubcd1\ud569\ud558\ub824\uace0 \ud569\ub2c8\ub2e4"\ub77c\ub294 \uc624\ub958\ub97c \uc218\uc815\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\/object-\u1106\u1175\u11be-int64-\u110b\u1167\u11af\u110b\u1173\u11af-\u1107\u1167\u11bc\u1112\u1161\u11b8\u1112\u1161\u1105\u1167\u1100\/\" \/>\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: \uac1d\uccb4\uc640 int64 \uc5f4\uc744 \ubcd1\ud569\ud558\ub824\uace0 \ud569\ub2c8\ub2e4. - Statorials\" \/>\n<meta property=\"og:description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 pandas\uc5d0\uc11c "\uac1d\uccb4\uc640 int64 \uc5f4\uc744 \ubcd1\ud569\ud558\ub824\uace0 \ud569\ub2c8\ub2e4"\ub77c\ub294 \uc624\ub958\ub97c \uc218\uc815\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ko\/object-\u1106\u1175\u11be-int64-\u110b\u1167\u11af\u110b\u1173\u11af-\u1107\u1167\u11bc\u1112\u1161\u11b8\u1112\u1161\u1105\u1167\u1100\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-20T07:55:51+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\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/ko\/object-%e1%84%86%e1%85%b5%e1%86%be-int64-%e1%84%8b%e1%85%a7%e1%86%af%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%87%e1%85%a7%e1%86%bc%e1%84%92%e1%85%a1%e1%86%b8%e1%84%92%e1%85%a1%e1%84%85%e1%85%a7%e1%84%80\/\",\"url\":\"https:\/\/statorials.org\/ko\/object-%e1%84%86%e1%85%b5%e1%86%be-int64-%e1%84%8b%e1%85%a7%e1%86%af%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%87%e1%85%a7%e1%86%bc%e1%84%92%e1%85%a1%e1%86%b8%e1%84%92%e1%85%a1%e1%84%85%e1%85%a7%e1%84%80\/\",\"name\":\"\ud574\uacb0 \ubc29\ubc95: \uac1d\uccb4\uc640 int64 \uc5f4\uc744 \ubcd1\ud569\ud558\ub824\uace0 \ud569\ub2c8\ub2e4. - 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