{"id":3341,"date":"2023-07-18T00:06:30","date_gmt":"2023-07-18T00:06:30","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%80%e1%85%a2%e1%86%a8%e1%84%8e%e1%85%a6%e1%84%85%e1%85%b3%e1%86%af-int%e1%84%85%e1%85%a9-%e1%84%87%e1%85%a7%e1%86%ab\/"},"modified":"2023-07-18T00:06:30","modified_gmt":"2023-07-18T00:06:30","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%80%e1%85%a2%e1%86%a8%e1%84%8e%e1%85%a6%e1%84%85%e1%85%b3%e1%86%af-int%e1%84%85%e1%85%a9-%e1%84%87%e1%85%a7%e1%86%ab","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%80%e1%85%a2%e1%86%a8%e1%84%8e%e1%85%a6%e1%84%85%e1%85%b3%e1%86%af-int%e1%84%85%e1%85%a9-%e1%84%87%e1%85%a7%e1%86%ab\/","title":{"rendered":"Pandas: \uac1d\uccb4\ub97c \uc815\uc218\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

\n

\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc758 \uc5f4\uc744 \uac1d\uccb4\uc5d0\uc11c \uc815\uc218\ub85c \ubcc0\ud658\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 df[' object_column<\/span> '] = df[' int_column<\/span> ']. astype<\/span> (str). astype<\/span> (int)\n<\/strong><\/pre>\n
 \ub2e4\uc74c \uc608\ub294 \ub2e4\uc74c pandas DataFrame\uc5d0\uc11c \uc2e4\uc81c\ub85c \uc774 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\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> ({' player<\/span> ': ['A', 'B', 'C', 'D', 'E'],\n                   ' points<\/span> ': ['25', '27', '14', '17', '20'],\n                   ' assists<\/span> ': ['5', '7', '10', '8', '9']})\n\n#view data types for each column\n<\/span>df. dtypes<\/span>\n\nplayer object\npoints object\nassists object\ndtype:object<\/span><\/span><\/strong><\/pre>\n
 \uc608\uc2dc 1: \uac1d\uccb4 \uc5f4\uc744 \uc815\uc218\ub85c \ubcc0\ud658<\/strong><\/span><\/h2>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \uac1d\uccb4\uc758 \ud3ec\uc778\ud2b8<\/strong> \uc5f4\uc744 \uc815\uc218\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 #convert 'points' column to integer\ndf[' points<\/span> '] = df[' points<\/span> ']. astype<\/span> (str). astype<\/span> (int)\n\n#view data types of each column\n<\/span>df. dtypes<\/span>\n\nplayer object\nint32 dots\nassists object\ndtype:object\n<\/span><\/span><\/strong><\/pre>\n
 \uc774\uc81c \ud3ec\uc778\ud2b8<\/strong> \uc5f4\uc740 \uc815\uc218\uc774\uace0 \ub2e4\ub978 \ubaa8\ub4e0 \uc5f4\uc740 \ubcc0\uacbd\ub418\uc9c0 \uc54a\uc740 \uc0c1\ud0dc\ub85c \uc720\uc9c0\ub418\ub294 \uac83\uc744 \ubcfc \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608 2: \uc5ec\ub7ec \uc5f4\uc744 \uc815\uc218\ub85c \ubcc0\ud658<\/strong><\/span><\/h2>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \uac1d\uccb4 DataFrame\uc758 \uc5ec\ub7ec \uc5f4\uc744 \uc815\uc218\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 #convert 'points' and 'assists' columns to integer\n<\/span>df[[' points<\/span> ', ' assists<\/span> ']] = df[[' points<\/span> ', ' assists<\/span> ']]. astype<\/span> (str). astype<\/span> (int)\n\n#view data types for each column\n<\/span>df. dtypes\n\n<\/span>player object\nint32 dots\nassists int32\ndtype:object\n<\/span><\/span><\/strong><\/pre>\n
 \ud3ec\uc778\ud2b8<\/strong> \uc640 \uc5b4\uc2dc\uc2a4\ud2b8<\/strong> \uc5f4\uc774 \ubaa8\ub450 \uac1c\uccb4\uc5d0\uc11c \uc815\uc218\ub85c \ubcc0\ud658\ub41c \uac83\uc744 \ubcfc \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 Pandas\uc5d0\uc11c \ub2e4\ub978 \uc77c\ubc18\uc801\uc778 \ubcc0\ud658\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 Pandas DataFrame \uc5f4\uc744 \ubb38\uc790\uc5f4\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95<\/a>
 Pandas\uc5d0\uc11c \ud0c0\uc784\uc2a4\ud0ec\ud504\ub97c \ub0a0\uc9dc\/\uc2dc\uac04\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95<\/a>
 Pandas\uc5d0\uc11c DateTime\uc744 \ub0a0\uc9dc\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc758 \uc5f4\uc744 \uac1d\uccb4\uc5d0\uc11c \uc815\uc218\ub85c \ubcc0\ud658\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. df[‘ object_column ‘] = df[‘ int_column ‘]. astype (str). astype (int) \ub2e4\uc74c \uc608\ub294 \ub2e4\uc74c pandas DataFrame\uc5d0\uc11c \uc2e4\uc81c\ub85c \uc774 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. import pandas as pd #createDataFrame df = pd. DataFrame ({‘ player ‘: [‘A’, ‘B’, ‘C’, ‘D’, ‘E’], ‘ points ‘: [’25’, ’27’, […]<\/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-3341","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPandas: \uac1d\uccb4\ub97c \uc815\uc218\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95 - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Pandas DataFrame\uc758 \uc5f4\uc744 \uac1d\uccb4\uc5d0\uc11c \uc815\uc218\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95\uc744 \uc608\uc81c\uc640 \ud568\uaed8 \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-\u1100\u1162\u11a8\u110e\u1166\u1105\u1173\u11af-int\u1105\u1169-\u1107\u1167\u11ab\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas: \uac1d\uccb4\ub97c \uc815\uc218\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95 - 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