{"id":890,"date":"2023-07-28T10:02:57","date_gmt":"2023-07-28T10:02:57","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a7%e1%86%bc%e1%84%80%e1%85%b2%e1%86%ab-%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%8b%e1%85%a7%e1%86%af\/"},"modified":"2023-07-28T10:02:57","modified_gmt":"2023-07-28T10:02:57","slug":"%e1%84%91%e1%85%a7%e1%86%bc%e1%84%80%e1%85%b2%e1%86%ab-%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%8b%e1%85%a7%e1%86%af","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a7%e1%86%bc%e1%84%80%e1%85%b2%e1%86%ab-%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%8b%e1%85%a7%e1%86%af\/","title":{"rendered":"Pandas\uc5d0\uc11c \uc5f4\uc758 \ud3c9\uade0\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

\n

\uc885\uc885 Pandas DataFrame\uc5d0 \uc788\ub294 \ud558\ub098 \uc774\uc0c1\uc758 \uc5f4\uc758 \ud3c9\uade0\uc744 \uacc4\uc0b0\ud558\ub294 \ub370 \uad00\uc2ec\uc774 \uc788\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\ud589\uc2a4\ub7fd\uac8c\ub3c4 Mean()<\/a> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud32c\ub354\uc5d0\uc11c \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\uc2dc 1: \ub2e8\uc77c \uc5f4\uc758 \ud3c9\uade0 \ucc3e\uae30<\/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\nimport<\/span> numpy as<\/span> np\n\n#createDataFrame<\/span>\ndf = pd.DataFrame({'player': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J '],\n                   'points': [25, 20, 14, 16, 27, 20, 12, 15, 14, 19],\n                   'assists': [5, 7, 7, 8, 5, 7, 6, 9, 9, 5],\n                   'rebounds': [np.nan, 8, 10, 6, 6, 9, 6, 10, 10, 7]})\n\n#view DataFrame<\/span> \ndf\n\n        player points assists rebounds\n0 A 25 5 NaN\n1 B 20 7 8.0\n2 C 14 7 10.0\n3 D 16 8 6.0\n4 E 27 5 6.0\n5 F 20 7 9.0\n6 G 12 6 6.0\n7:15 9 10.0\n8 I 14 9 10.0\n9 D 19 5 7.0\n<\/strong><\/pre>\n
 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec “points”\ub77c\ub294 \uc5f4\uc758 \ud3c9\uade0\uc744 \ucc3e\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 df['points']. mean<\/span> ()\n\n18.2<\/strong><\/pre>\n
 Mean() \ud568\uc218\ub294 \uae30\ubcf8\uc801\uc73c\ub85c NA\ub3c4 \uc81c\uc678\ud569\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, “\ub9ac\ubc14\uc6b4\ub4dc” \uc5f4\uc758 \ud3c9\uade0\uc744 \ucc3e\uc73c\uba74 “NaN”\uc758 \uccab \ubc88\uc9f8 \uac12\uc740 \uacc4\uc0b0\uc5d0\uc11c \uc81c\uc678\ub429\ub2c8\ub2e4.<\/span><\/p>\n
 df['rebounds']. mean<\/span> ()\n\n8.0\n<\/strong><\/pre>\n
 \uc22b\uc790\uac00 \uc544\ub2cc \uc5f4\uc758 \ud3c9\uade0\uc744 \ucc3e\uc73c\ub824\uace0 \ud558\uba74 \uc624\ub958\uac00 \ubc1c\uc0dd\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 df['player'].<\/span> mean<\/span> ()<\/span>\n<\/span>\nTypeError: Could not convert ABCDEFGHIJ to numeric\n<\/strong><\/pre>\n
 \uc608\uc2dc 2: \uc5ec\ub7ec \uc5f4\uc758 \ud3c9\uade0 \ucc3e\uae30<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc5ec\ub7ec \uc5f4\uc758 \ud3c9\uade0\uc744 \ucc3e\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #find mean of points and rebounds columns<\/span>\ndf[['rebounds', 'points']]. mean<\/span> ()\n\nrebounds 8.0\npoints 18.2\ndtype:float64\n<\/strong><\/pre>\n
 \uc608\uc2dc 3: \ubaa8\ub4e0 \uc5f4\uc758 \ud3c9\uade0 \ucc3e\uae30<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \ubaa8\ub4e0 \uc22b\uc790 \uc5f4\uc758 \ud3c9\uade0\uc744 \ucc3e\uc744 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #find mean of all numeric columns in DataFrame<\/span>\ndf. mean<\/span> ()\n\npoints 18.2\nassists 6.8\nrebounds 8.0\ndtype:float64\n<\/strong><\/pre>\n
 Mean() \ud568\uc218\ub294 \uc22b\uc790\uac00 \uc544\ub2cc \uc5f4\uc744 \ubb34\uc2dc\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n
 \ud32c\ub354\uc5d0\uc11c \uc911\uc559\uac12\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a>
 Pandas\uc5d0\uc11c \uc5f4\uc758 \ud569\uacc4\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a>
 Pandas\uc5d0\uc11c \uc5f4\uc758 \ucd5c\ub300\uac12\uc744 \ucc3e\ub294 \ubc29\ubc95<\/p>\n","protected":false},"excerpt":{"rendered":"
\uc885\uc885 Pandas DataFrame\uc5d0 \uc788\ub294 \ud558\ub098 \uc774\uc0c1\uc758 \uc5f4\uc758 \ud3c9\uade0\uc744 \uacc4\uc0b0\ud558\ub294 \ub370 \uad00\uc2ec\uc774 \uc788\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\ud589\uc2a4\ub7fd\uac8c\ub3c4 Mean() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud32c\ub354\uc5d0\uc11c \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\uc2dc 1: \ub2e8\uc77c \uc5f4\uc758 \ud3c9\uade0 \ucc3e\uae30 \ub2e4\uc74c\uacfc \uac19\uc740 \ud32c\ub354 DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4. import pandas as pd import numpy as np #createDataFrame […]<\/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-890","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\n\ud32c\ub354\uc5d0\uc11c \uc5f4 \ud3c9\uade0\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95 \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"Pandas DataFrame\uc5d0\uc11c \ud558\ub098 \uc774\uc0c1\uc758 \uc5f4\uc758 \ud3c9\uade0\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud55c \uac04\ub2e8\ud55c \uc124\uba85\uc785\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\u1167\u11bc\u1100\u1172\u11ab-\u1111\u1162\u11ab\u1103\u1165-\u110b\u1167\u11af\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\ud32c\ub354\uc5d0\uc11c \uc5f4 \ud3c9\uade0\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95 \u2013 Statorials\" \/>\n<meta property=\"og:description\" content=\"Pandas DataFrame\uc5d0\uc11c \ud558\ub098 \uc774\uc0c1\uc758 \uc5f4\uc758 \ud3c9\uade0\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud55c \uac04\ub2e8\ud55c \uc124\uba85\uc785\ub2c8\ub2e4.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ko\/\u1111\u1167\u11bc\u1100\u1172\u11ab-\u1111\u1162\u11ab\u1103\u1165-\u110b\u1167\u11af\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-28T10:02:57+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 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