{"id":3522,"date":"2023-07-17T01:04:09","date_gmt":"2023-07-17T01:04:09","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%8b%e1%85%a7%e1%86%af-%e1%84%8b%e1%85%b5%e1%86%ab%e1%84%83%e1%85%a6%e1%86%a8%e1%84%89%e1%85%b3%e1%84%85%e1%85%b3%e1%86%af\/"},"modified":"2023-07-17T01:04:09","modified_gmt":"2023-07-17T01:04:09","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%8b%e1%85%a7%e1%86%af-%e1%84%8b%e1%85%b5%e1%86%ab%e1%84%83%e1%85%a6%e1%86%a8%e1%84%89%e1%85%b3%e1%84%85%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%8b%e1%85%a7%e1%86%af-%e1%84%8b%e1%85%b5%e1%86%ab%e1%84%83%e1%85%a6%e1%86%a8%e1%84%89%e1%85%b3%e1%84%85%e1%85%b3%e1%86%af\/","title":{"rendered":"Pandas: \uc5f4 \uc774\ub984\uc5d0\uc11c \uc5f4 \uc778\ub371\uc2a4\ub97c \uc5bb\ub294 \ubc29\ubc95"},"content":{"rendered":"

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\ub2e4\uc74c \ubc29\ubc95\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas\uc758 \uc5f4 \uc774\ub984\uc5d0\uc11c \uc5f4 \uc778\ub371\uc2a4 \uac12\uc744 \uac00\uc838\uc62c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\ubc29\ubc95 1: \uc5f4 \uc774\ub984\uc5d0 \ub300\ud55c \uc5f4 \uc778\ub371\uc2a4 \uac00\uc838\uc624\uae30<\/strong><\/span><\/p>\n

 df. columns<\/span> . get_loc<\/span> (' this_column<\/span> ')\n<\/strong><\/pre>\n
 \ubc29\ubc95 2: \uc5ec\ub7ec \uc5f4 \uc774\ub984\uc5d0 \ub300\ud55c \uc5f4 \uc778\ub371\uc2a4 \uac00\uc838\uc624\uae30<\/strong><\/span><\/p>\n
 cols = [' this_column<\/span> ', ' that_column<\/span> ']\n\n[df. columns<\/span> . get_loc<\/span> (c) for<\/span> c in<\/span> cols if<\/span> c in<\/span> df]<\/strong><\/pre>\n
 \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \ub2e4\uc74c pandas DataFrame\uc5d0\uc11c \uc2e4\uc81c\ub85c \uac01 \uba54\uc11c\ub4dc\ub97c \uc0ac\uc6a9\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> ({' store<\/span> ': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'],\n                   ' sales<\/span> ': [18, 10, 14, 13, 19, 24, 25, 29],\n                   ' returns<\/span> ': [1, 2, 2, 3, 2, 3, 5, 4],\n                   ' recalls<\/span> ': [0, 0, 2, 1, 1, 2, 0, 1]})\n#view DataFrame\n<\/span>print<\/span> (df)\n\n  store sales returns recalls\n0 to 18 1 0\n1 to 10 2 0\n2 A 14 2 2\n3 A 13 3 1\n4 B 19 2 1\n5 B 24 3 2\n6 B 25 5 0\n7 B 29 4 1<\/strong><\/pre>\n
 \uc608\uc2dc 1: \uc5f4 \uc774\ub984\uc5d0 \ub300\ud55c \uc5f4 \uc778\ub371\uc2a4 \uac00\uc838\uc624\uae30<\/strong><\/span><\/h2>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 “returns”\ub77c\ub294 \uc5f4\uc5d0 \ub300\ud55c \uc5f4 \uc778\ub371\uc2a4 \uac12\uc744 \uac00\uc838\uc624\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 #get column index for column with the name 'returns'\n<\/span>df. columns<\/span> . get_loc<\/span> (' returns<\/span> ')\n\n2<\/strong><\/pre>\n
 \uc774\ub984\uc774 “return”\uc778 \uc5f4\uc758 \uc5f4 \uc778\ub371\uc2a4 \uac12\uc740 2<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/span><\/p>\n
 \ucc38\uace0<\/strong> : Python\uc5d0\uc11c\ub294 \uc5f4 \uc778\ub371\uc2a4 \uac12\uc774 0\ubd80\ud130 \uc2dc\uc791\ud569\ub2c8\ub2e4. \ub530\ub77c\uc11c “return”\uc740 DataFrame\uc758 \uc138 \ubc88\uc9f8 \uc5f4\uc774\ubbc0\ub85c \ud574\ub2f9 \uc778\ub371\uc2a4 \uac12\uc740 2\uc785\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608 2: \uc5ec\ub7ec \uc5f4 \uc774\ub984\uc5d0 \ub300\ud55c \uc5f4 \uc778\ub371\uc2a4 \uac00\uc838\uc624\uae30<\/strong><\/span><\/h2>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 DataFrame\uc758 \uc5ec\ub7ec \uc5f4\uc5d0 \ub300\ud55c \uc5f4 \uc778\ub371\uc2a4 \uac12\uc744 \uac00\uc838\uc624\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 #define list of columns to get index for\n<\/span>cols = [' store<\/span> ', ' returns<\/span> ', ' recalls<\/span> ']\n\n#get column index for each column in list\n<\/span>[df. columns<\/span> . get_loc<\/span> (c) for<\/span> c in<\/span> cols if<\/span> c in<\/span> df]\n\n[0, 2, 3]\n<\/strong><\/pre>\n
 \uacb0\uacfc\uc5d0\uc11c \uc6b0\ub9ac\ub294 \ub2e4\uc74c\uc744 \ubcfc \uc218 \uc788\uc2b5\ub2c8\ub2e4:<\/span><\/p>\n