{"id":2863,"date":"2023-07-20T08:32:04","date_gmt":"2023-07-20T08:32:04","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%87%e1%85%b5%e1%86%ab-%e1%84%86%e1%85%ae%e1%86%ab%e1%84%8c%e1%85%a1%e1%84%8b%e1%85%a7%e1%86%af%e1%84%8b%e1%85%b3%e1%86%af\/"},"modified":"2023-07-20T08:32:04","modified_gmt":"2023-07-20T08:32:04","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%87%e1%85%b5%e1%86%ab-%e1%84%86%e1%85%ae%e1%86%ab%e1%84%8c%e1%85%a1%e1%84%8b%e1%85%a7%e1%86%af%e1%84%8b%e1%85%b3%e1%86%af","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%87%e1%85%b5%e1%86%ab-%e1%84%86%e1%85%ae%e1%86%ab%e1%84%8c%e1%85%a1%e1%84%8b%e1%85%a7%e1%86%af%e1%84%8b%e1%85%b3%e1%86%af\/","title":{"rendered":"Pandas: \ube48 \ubb38\uc790\uc5f4\uc744 nan\uc73c\ub85c \ubc14\uafb8\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

\n

\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud32c\ub354\uc5d0\uc11c \ube48 \ubb38\uc790\uc5f4\uc744 NaN \uac12\uc73c\ub85c \ubc14\uafc0 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 df = df. replace<\/span> ( r'^\\s*$'<\/span> , np. nan<\/span> , regex= True<\/span> )<\/strong><\/pre>\n
 \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc2e4\uc81c\ub85c \uc774 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 \uad00\ub828 \ud56d\ubaa9:<\/strong> Pandas\uc5d0\uc11c NaN \uac12\uc744 \ubb38\uc790\uc5f4\ub85c \ubc14\uafb8\ub294 \ubc29\ubc95<\/a><\/span><\/p>\n
 \uc608: \ube48 \ubb38\uc790\uc5f4\uc744 NaN\uc73c\ub85c \ubc14\uafb8\uae30<\/strong><\/span><\/h3>\n
 \ub2e4\uc591\ud55c \ub18d\uad6c \uc120\uc218\uc5d0 \ub300\ud55c \uc815\ubcf4\uac00 \ud3ec\ud568\ub41c \ub2e4\uc74c\uacfc \uac19\uc740 pandas DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'B', ' ', 'D', 'E', ' ', 'G', 'H'],\n                   ' position<\/span> ': [' ', 'G', 'G', 'F', 'F', ' ', 'C', 'C'],\n                   ' points<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12]})\n\n#view DataFrame\n<\/span>df\n\n\tteam position points rebounds\n0 to 5 11\n1 B G 7 8\n2 G 7 10\n3 D F 9 6\n4 E F 12 6\n5 9 5\n6 G C 9 9\n7 H C 4 12<\/strong><\/pre>\n
 \ud300<\/strong> \ubc0f \uc704\uce58<\/strong> \uc5f4\uc5d0\ub294 \ube48 \ubb38\uc790\uc5f4\uc774 \uc5ec\ub7ec \uac1c \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc774\ub7ec\ud55c \ube48 \ubb38\uc790\uc5f4\uc744 NaN \uac12\uc73c\ub85c \ubc14\uafc0 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> numpy as<\/span> np<\/span>\n\n#replace empty values with NaN\n<\/span>df = df. replace<\/span> ( r'^\\s*$'<\/span> , np. nan<\/span> , regex= True<\/span> )\n<\/span>\n#view updated DataFrame\ndf\n<\/span>\nteam position<\/span> points rebounds\n0 A NaN<\/span> 5 11\n1 B G<\/span> 7 8\n2 NaN G<\/span> 7 10\n3 D F<\/span> 9 6\n4 E F<\/span> 12 6\n5 NaN NaN<\/span> 9 5\n6 G C<\/span> 9 9\n7 H C<\/span> 4 127<\/span><\/span><\/strong><\/pre>\n
 \uac01 \ube48 \ubb38\uc790\uc5f4\uc740 NaN\uc73c\ub85c \ub300\uccb4\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/span><\/span><\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Pandas\uc5d0\uc11c \ub2e4\ub978 \uc77c\ubc18\uc801\uc778 \uc791\uc5c5\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \ud32c\ub354\uc5d0\uc11c \ub204\ub77d\ub41c \uac12\uc744 \ub300\uce58\ud558\ub294 \ubc29\ubc95<\/a>
 \ud32c\ub354\uc5d0\uc11c \ub204\ub77d\ub41c \uac12\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a>
 \ud32c\ub354\uc5d0\uc11c NaN \uac12\uc744 \ud3c9\uade0\uc73c\ub85c \ucc44\uc6b0\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud32c\ub354\uc5d0\uc11c \ube48 \ubb38\uc790\uc5f4\uc744 NaN \uac12\uc73c\ub85c \ubc14\uafc0 \uc218 \uc788\uc2b5\ub2c8\ub2e4. df = df. replace ( r’^\\s*$’ , np. nan , regex= True ) \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc2e4\uc81c\ub85c \uc774 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uad00\ub828 \ud56d\ubaa9: Pandas\uc5d0\uc11c NaN \uac12\uc744 \ubb38\uc790\uc5f4\ub85c \ubc14\uafb8\ub294 \ubc29\ubc95 \uc608: \ube48 \ubb38\uc790\uc5f4\uc744 NaN\uc73c\ub85c \ubc14\uafb8\uae30 \ub2e4\uc591\ud55c \ub18d\uad6c \uc120\uc218\uc5d0 \ub300\ud55c \uc815\ubcf4\uac00 \ud3ec\ud568\ub41c \ub2e4\uc74c\uacfc \uac19\uc740 pandas DataFrame\uc774 […]<\/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-2863","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPandas: \ube48 \ubb38\uc790\uc5f4\uc744 NaN\uc73c\ub85c \ubc14\uafb8\ub294 \ubc29\ubc95 \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \ud1b5\ud574 pandas\uc5d0\uc11c \ube48 \ubb38\uc790\uc5f4\uc744 NaN\uc73c\ub85c \ubc14\uafb8\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\" 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