{"id":3271,"date":"2023-07-18T08:39:13","date_gmt":"2023-07-18T08:39:13","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%85%e1%85%a1%e1%86%b7%e1%84%83%e1%85%a1%e1%84%85%e1%85%b3%e1%86%af-%e1%84%8c%e1%85%a5%e1%86%a8%e1%84%8b%e1%85%ad%e1%86%bc\/"},"modified":"2023-07-18T08:39:13","modified_gmt":"2023-07-18T08:39:13","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%85%e1%85%a1%e1%86%b7%e1%84%83%e1%85%a1%e1%84%85%e1%85%b3%e1%86%af-%e1%84%8c%e1%85%a5%e1%86%a8%e1%84%8b%e1%85%ad%e1%86%bc","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%85%e1%85%a1%e1%86%b7%e1%84%83%e1%85%a1%e1%84%85%e1%85%b3%e1%86%af-%e1%84%8c%e1%85%a5%e1%86%a8%e1%84%8b%e1%85%ad%e1%86%bc\/","title":{"rendered":"Pandas: apply\uc640 lambda\ub97c \ud568\uaed8 \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

\n

\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc5d0 \ub78c\ub2e4 \ud568\uc218\ub97c \uc801\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 df[' col<\/span> '] = df[' col<\/span> ']. apply<\/span> ( lambda<\/span> x: ' value1<\/span> ' if<\/span> x < 20 else<\/span> ' value2<\/span> ')\n<\/strong><\/pre>\n
 \ub2e4\uc74c \uc608\ub294 \ub2e4\uc74c pandas DataFrame\uc5d0\uc11c \uc2e4\uc81c\ub85c \uc774 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'],\n                   ' points<\/span> ': [18, 22, 19, 14, 14, 11, 20, 28],\n                   ' assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n  team points assists\n0 to 18 5\n1 B 22 7\n2 C 19 7\n3 D 14 9\n4 E 14 12\n5 F 11 9\n6 G 20 9\n7:28 a.m. 4\n<\/strong><\/pre>\n
 \uc608 1: Apply \ubc0f Lambda\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc0c8 \uc5f4 \uc0dd\uc131<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \uc801\uc6a9<\/strong> \ubc0f \ub78c\ub2e4\ub97c<\/strong> \uc0ac\uc6a9\ud558\uc5ec \uac12\uc774 \uae30\uc874 \uc5f4\uc758 \uac12\uc5d0 \ub530\ub77c \ub2ec\ub77c\uc9c0\ub294 \uc0c8 \uc5f4\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 #create new column called 'status'\ndf[' status<\/span> '] = df[' points<\/span> ']. apply<\/span> ( lambda<\/span> x: ' Bad<\/span> ' if<\/span> x < 20 else<\/span> ' Good<\/span> ')\n<\/span>\n#view updated DataFrame\nprint<\/span> (df)\n\n  team points assists status\n0 A 18 5 Bad\n1 B 22 7 Good\n2 C 19 7 Bad\n3 D 14 9 Bad\n4 E 14 12 Bad\n5 F 11 9 Bad\n6 G 20 9 Good\n7:28 4 Good<\/span><\/span><\/strong><\/pre>\n
 \uc774 \uc608\uc5d0\uc11c\ub294 \ub2e4\uc74c \uac12\uc744 \uc0ac\uc6a9\ud558\ub294 status<\/strong> \ub77c\ub294 \uc0c8 \uc5f4\uc744 \ub9cc\ub4e4\uc5c8\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n