{"id":888,"date":"2023-07-28T10:14:08","date_gmt":"2023-07-28T10:14:08","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%81%e1%85%b3%e1%86%ab-%e1%84%8b%e1%85%b1%e1%84%8b%e1%85%b4-%e1%84%91%e1%85%a1%e1%86%ab%e1%84%83%e1%85%a1\/"},"modified":"2023-07-28T10:14:08","modified_gmt":"2023-07-28T10:14:08","slug":"%e1%84%81%e1%85%b3%e1%86%ab-%e1%84%8b%e1%85%b1%e1%84%8b%e1%85%b4-%e1%84%91%e1%85%a1%e1%86%ab%e1%84%83%e1%85%a1","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%81%e1%85%b3%e1%86%ab-%e1%84%8b%e1%85%b1%e1%84%8b%e1%85%b4-%e1%84%91%e1%85%a1%e1%86%ab%e1%84%83%e1%85%a1\/","title":{"rendered":"Pandas dataframe \uc5f4\uc744 \ubb38\uc790\uc5f4\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

\n

\uc885\uc885 Pandas DataFrame\uc758 \ud558\ub098 \uc774\uc0c1\uc758 \uc5f4\uc744 \ubb38\uc790\uc5f4\ub85c \ubcc0\ud658\ud574\uc57c \ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span> \ub2e4\ud589\uc2a4\ub7fd\uac8c\ub3c4 pandas \ub0b4\uc7a5 astype(str)<\/a> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uba74 \uc774 \uc791\uc5c5\uc744 \uc27d\uac8c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc774 \uae30\ub2a5\uc744 \uc0ac\uc6a9\ud558\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n

\uc608 1: \ub2e8\uc77c DataFrame \uc5f4\uc744 \ubb38\uc790\uc5f4\ub85c \ubcc0\ud658<\/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<\/span>\ndf = pd.DataFrame({'player': ['A', 'B', 'C', 'D', 'E'],\n                   'points': [25, 20, 14, 16, 27],\n                   'assists': [5, 7, 7, 8, 11]})\n\n#view DataFrame<\/span> \ndf\n\n        player points assists\n0 to 25 5\n1 B 20 7\n2 C 14 7\n3 D 16 8\n4 E 27 11\n<\/strong><\/pre>\n
 dtypes\ub97c \uc0ac\uc6a9\ud558\uc5ec \uac01 \uc5f4\uc758 \ub370\uc774\ud130 \uc720\ud615\uc744 \uc2dd\ubcc4\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/strong><\/span><\/p>\n
 df. dtypes\n\nplayer object\nint64 dots\nassists int64\ndtype:object<\/span><\/span>\n<\/strong><\/pre>\n
 “\ud50c\ub808\uc774\uc5b4” \uc5f4\uc740 \ubb38\uc790\uc5f4\uc774\uace0 \ub2e4\ub978 \ub450 \uc5f4 “\ud3ec\uc778\ud2b8”\uc640 “\ud328\uc2a4”\ub294 \uc815\uc218\uc784\uc744 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \ub2e4\uc74c\uacfc \uac19\uc774 \uac04\ub2e8\ud788 astype(str)<\/strong> \uc744 \uc0ac\uc6a9\ud558\uc5ec “points” \uc5f4\uc744 \ubb38\uc790\uc5f4\ub85c \ubcc0\ud658\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 df['points'] = df['points'].astype( str<\/span> )\n<\/strong><\/pre>\n
 \uc774\uc81c dtypes\ub97c \ub2e4\uc2dc \uc0ac\uc6a9\ud558\uc5ec \uc774 \uc5f4\uc774 \ubb38\uc790\uc5f4\uc778\uc9c0 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/strong><\/span><\/p>\n
 df. dtypes<\/span>\n\nplayer object\npoints object\nassists int64\ndtype:object<\/strong><\/span><\/pre>\n
 \uc608 2: \uc5ec\ub7ec DataFrame \uc5f4\uc744 \ubb38\uc790\uc5f4\ub85c \ubcc0\ud658<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec “\ud3ec\uc778\ud2b8”\uc640 “\uc5b4\uc2dc\uc2a4\ud2b8” \uc5f4\uc744 \ubaa8\ub450 \ubb38\uc790\uc5f4\ub85c \ubcc0\ud658\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 df[['points', 'assists']] = df[['points', 'assists']].astype( str<\/span> )<\/strong><\/pre>\n
 \uadf8\ub9ac\uace0 \ub2e4\uc2dc dtypes\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc774\uac83\uc774 \ubb38\uc790\uc5f4\uc778\uc9c0 \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/strong><\/span><\/p>\n
 df. dtypes<\/span>\n\nplayer object\npoints object\nassists object\ndtype:object<\/strong><\/span><\/pre>\n
 \uc608\uc81c 3: \uc804\uccb4 DataFrame\uc744 \ubb38\uc790\uc5f4\ub85c \ubcc0\ud658<\/strong><\/span><\/h3>\n
 \ub9c8\uc9c0\ub9c9\uc73c\ub85c \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec DataFrame\uc758 \uac01 \uc5f4\uc744 \ubb38\uc790\uc5f4\ub85c \ubcc0\ud658\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #convert every column to strings<\/span>\ndf = df.astype(str)<\/span>\n\n#check data type of each column\n<\/span>df. dtypes\nplayer object\npoints object\nassists object\ndtype:object<\/span><\/span><\/span>\n<\/strong><\/pre>\n
 astype() \ud568\uc218\uc5d0 \ub300\ud55c \uc804\uccb4 \ubb38\uc11c\ub294 \uc5ec\uae30\uc5d0\uc11c<\/a> \ucc3e\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/em><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"
\uc885\uc885 Pandas DataFrame\uc758 \ud558\ub098 \uc774\uc0c1\uc758 \uc5f4\uc744 \ubb38\uc790\uc5f4\ub85c \ubcc0\ud658\ud574\uc57c \ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\ud589\uc2a4\ub7fd\uac8c\ub3c4 pandas \ub0b4\uc7a5 astype(str) \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uba74 \uc774 \uc791\uc5c5\uc744 \uc27d\uac8c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc774 \uae30\ub2a5\uc744 \uc0ac\uc6a9\ud558\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uc608 1: \ub2e8\uc77c DataFrame \uc5f4\uc744 \ubb38\uc790\uc5f4\ub85c \ubcc0\ud658 \ub2e4\uc74c\uacfc \uac19\uc740 \ud32c\ub354 DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4. import pandas as pd #createDataFrame df = pd.DataFrame({‘player’: [‘A’, ‘B’, […]<\/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-888","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPandas DataFrame \uc5f4\uc744 \ubb38\uc790\uc5f4\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95 - 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