{"id":1947,"date":"2023-07-24T08:26:07","date_gmt":"2023-07-24T08:26:07","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%8c%e1%85%a6%e1%84%8b%e1%85%ac-%e1%84%8b%e1%85%a7%e1%86%af\/"},"modified":"2023-07-24T08:26:07","modified_gmt":"2023-07-24T08:26:07","slug":"%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%8c%e1%85%a6%e1%84%8b%e1%85%ac-%e1%84%8b%e1%85%a7%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%8c%e1%85%a6%e1%84%8b%e1%85%ac-%e1%84%8b%e1%85%a7%e1%86%af\/","title":{"rendered":"Pandas\uc5d0\uc11c \uc5f4\uc744 \uc81c\uc678\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"

<\/p>\n

\n

\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc5d0\uc11c \uc5f4\uc744 \uc81c\uc678\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 #exclude column1<\/span>\ndf. loc<\/span> [:, df. columns<\/span> !=' column1<\/span> ']\n\n#exclude column1, column2, ...\n<\/span>df. loc<\/span> [:, ~df. columns<\/span> . isin<\/span> ([' column1<\/span> ',' column2<\/span> ',...])]\n<\/strong><\/pre>\n
 \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774 \uad6c\ubb38\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608\uc2dc 1: \uc5f4 \uc81c\uc678<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 Pandas DataFrame\uc5d0\uc11c \ud558\ub098\uc758 \uc5f4\uc744 \uc81c\uc678\ud558\uace0 \ubaa8\ub450 \uc120\ud0dd\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span> \ndf = pd. DataFrame<\/span> ({' points<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29],\n                   ' assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12],\n                   ' blocks<\/span> ': [2, 3, 3, 5, 3, 2, 1, 2]})\n\n#view DataFrame\n<\/span>df\n\n\tpoints assists rebounds blocks\n0 25 5 11 2\n1 12 7 8 3\n2 15 7 10 3\n3 14 9 6 5\n4 19 12 6 3\n5 23 9 5 2\n6 25 9 9 1\n7 29 4 12 2\n\n#select all columns except 'rebounds'\ndf. loc<\/span> [:, df. columns<\/span> !=' rebounds<\/span> ']\n<\/span><\/span>\n        points assists blocks\n0 25 5 2\n1 12 7 3\n2 15 7 3\n3 14 9 5\n4 19 12 3\n5 23 9 2\n6 25 9 1\n7 29 4 2\n<\/strong><\/pre>\n
 \uc608\uc2dc 2: \uc5ec\ub7ec \uc5f4 \uc81c\uc678<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 Pandas DataFrame\uc5d0\uc11c \uc77c\ubd80 \uc5f4\uc744 \uc81c\uc678\ud55c \ubaa8\ub4e0 \uc5f4\uc744 \uc120\ud0dd\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span> \ndf = pd. DataFrame<\/span> ({' points<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29],\n                   ' assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12],\n                   ' blocks<\/span> ': [2, 3, 3, 5, 3, 2, 1, 2]})\n\n#view DataFrame\n<\/span>df\n\n\tpoints assists rebounds blocks\n0 25 5 11 2\n1 12 7 8 3\n2 15 7 10 3\n3 14 9 6 5\n4 19 12 6 3\n5 23 9 5 2\n6 25 9 9 1\n7 29 4 12 2\n\n#select all columns except 'rebounds' and 'assists'\n<\/span>df. loc<\/span> [:, ~df. columns<\/span> . isin<\/span> ([' rebounds<\/span> ', ' assists<\/span> '])]\n\n\tpoint blocks\n0 25 2\n1 12 3\n2 15 3\n3 14 5\n4 19 3\n5 23 2\n6 25 1\n7 29 2\n<\/strong><\/pre>\n
 \uc774 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uba74 \uc6d0\ud558\ub294 \uc218\uc758 \uc5f4\uc744 \uc774\ub984\ubcc4\ub85c \uc81c\uc678\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n
 Pandas DataFrame\uc5d0 \ud589\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95<\/a>
 Pandas DataFrame\uc5d0 Numpy \ubc30\uc5f4\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95<\/a>
 Pandas DataFrame\uc5d0\uc11c \ud589 \uc218\ub97c \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc5d0\uc11c \uc5f4\uc744 \uc81c\uc678\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. #exclude column1 df. loc [:, df. columns !=’ column1 ‘] #exclude column1, column2, … df. loc [:, ~df. columns . isin ([‘ column1 ‘,’ column2 ‘,…])] \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774 \uad6c\ubb38\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uc608\uc2dc 1: \uc5f4 \uc81c\uc678 \ub2e4\uc74c \ucf54\ub4dc\ub294 Pandas DataFrame\uc5d0\uc11c \ud558\ub098\uc758 \uc5f4\uc744 \uc81c\uc678\ud558\uace0 \ubaa8\ub450 […]<\/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-1947","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPandas\uc5d0\uc11c \uc5f4\uc744 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