{"id":2828,"date":"2023-07-20T12:20:35","date_gmt":"2023-07-20T12:20:35","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%8b%e1%85%a7%e1%86%a8%e1%84%87%e1%85%a1%e1%86%bc%e1%84%92%e1%85%a3%e1%86%bc-cumsum\/"},"modified":"2023-07-20T12:20:35","modified_gmt":"2023-07-20T12:20:35","slug":"%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%8b%e1%85%a7%e1%86%a8%e1%84%87%e1%85%a1%e1%86%bc%e1%84%92%e1%85%a3%e1%86%bc-cumsum","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%8b%e1%85%a7%e1%86%a8%e1%84%87%e1%85%a1%e1%86%bc%e1%84%92%e1%85%a3%e1%86%bc-cumsum\/","title":{"rendered":"\ud32c\ub354\uc5d0\uc11c \uc5ed\ub204\uc801\ud569\uc744 \uacc4\uc0b0\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"

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cumsum()<\/a> \ud568\uc218\ub294 \ud32c\ub354 DataFrame\uc758 \uc5f4\uc5d0 \uc788\ub294 \uac12\uc758 \ub204\uc801 \ud569\uacc4\ub97c \uacc4\uc0b0\ud558\ub294 \ub370 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc5f4 \uac12\uc758 \uc5ed\ub204\uc801 \ud569\uacc4\ub97c<\/strong> \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 df[' cumsum_reverse<\/span> '] = df. loc<\/span> [:: -1<\/span> , ' my_column<\/span> ']. cumsum<\/span> ()[:: -1<\/span> ]<\/strong><\/pre>\n
 \uc774 \ud2b9\uc815 \uad6c\ubb38\uc740 my_column<\/strong> \uc774\ub77c\ub294 \uc5f4\uc5d0 \uc788\ub294 \uac12\uc758 \uc5ed\ub204\uc801 \ud569\uacc4\ub97c \ud45c\uc2dc\ud558\ub294 pandas DataFrame\uc5d0 cumsum_reverse<\/strong> \ub77c\ub294 \uc0c8 \uc5f4\uc744 \ucd94\uac00\ud569\ub2c8\ub2e4.<\/span><\/p>\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
 \uc608: Pandas\uc5d0\uc11c \uc5ed\ub204\uc801\ud569 \uacc4\uc0b0<\/strong><\/span><\/h3>\n
 \uc5f0\uc18d 10\uc77c \ub3d9\uc548 \ub9e4\uc7a5\uc5d0\uc11c \ubc1c\uc0dd\ud55c \ucd1d \ub9e4\ucd9c\uc744 \ubcf4\uc5ec\uc8fc\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 pandas DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' day<\/span> ': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],\n                   ' sales<\/span> ': [3, 6, 0, 2, 4, 1, 0, 1, 4, 7]})\n\n#view DataFrame\n<\/span>df\n\n      day sales\n0 1 3\n1 2 6\n2 3 0\n3 4 2\n4 5 4\n5 6 1\n6 7 0\n7 8 1\n8 9 4\n9 10 7\n<\/strong><\/pre>\n
 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud310\ub9e4 \uc5f4\uc758 \uc5ed \ub204\uacc4\ub97c<\/strong> \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #add new column that shows reverse cumulative sum of sales\ndf[' cumsum_reverse_sales<\/span> '] = df. loc<\/span> [:: -1<\/span> , ' sales<\/span> ']. cumsum<\/span> ()[:: -1<\/span> ]\n<\/span>\n#view updated DataFrame\ndf\n<\/span>\nday sales cumsum_reverse_sales\n0 1 3 28\n1 2 6 25\n2 3 0 19\n3 4 2 19\n4 5 4 17\n5 6 1 13\n6 7 0 12\n7 8 1 12\n8 9 4 11\n9 10 7 7<\/span><\/span><\/strong><\/pre>\n
 cumsum_reverse_sales<\/strong> \ub77c\ub294 \uc0c8 \uc5f4\uc5d0\ub294 \ub9c8\uc9c0\ub9c9 \ud589\uc758<\/em> \ub204\uc801 \ud310\ub9e4\ub7c9\uc774 \ud45c\uc2dc\ub429\ub2c8\ub2e4.<\/span><\/p>\n
 cumsum_reverse_sales<\/strong> \uc5f4\uc758 \uac12\uc744 \ud574\uc11d\ud558\ub294 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n