{"id":2483,"date":"2023-07-22T01:51:33","date_gmt":"2023-07-22T01:51:33","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%90%e1%85%b3%e1%86%a8%e1%84%8c%e1%85%a5%e1%86%bc-%e1%84%92%e1%85%a1%e1%86%b8%e1%84%80%e1%85%a8-%e1%84%8b%e1%85%a7%e1%86%af\/"},"modified":"2023-07-22T01:51:33","modified_gmt":"2023-07-22T01:51:33","slug":"%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%90%e1%85%b3%e1%86%a8%e1%84%8c%e1%85%a5%e1%86%bc-%e1%84%92%e1%85%a1%e1%86%b8%e1%84%80%e1%85%a8-%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%90%e1%85%b3%e1%86%a8%e1%84%8c%e1%85%a5%e1%86%bc-%e1%84%92%e1%85%a1%e1%86%b8%e1%84%80%e1%85%a8-%e1%84%8b%e1%85%a7%e1%86%af\/","title":{"rendered":"Pandas\uc5d0\uc11c \ud2b9\uc815 \uc5f4\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"

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\ub2e4\uc74c \ubc29\ubc95\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc5d0\uc11c \ud2b9\uc815 \uc5f4 \uc9d1\ud569\uc758 \ud569\uacc4\ub97c \ucc3e\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\ubc29\ubc95 1: \ubaa8\ub4e0 \uc5f4\uc758 \ud569\uacc4 \ucc3e\uae30<\/strong><\/span><\/p>\n

 #find sum of all columns<\/span>\ndf[' sum<\/span> '] = df. sum<\/span> (axis= 1<\/span> )\n<\/strong><\/pre>\n
 \ubc29\ubc95 2: \ud2b9\uc815 \uc5f4\uc758 \ud569\uacc4 \ucc3e\uae30<\/strong><\/span><\/p>\n
 #specify the columns to sum\n<\/span>cols = [' col1<\/span> ', ' col4<\/span> ', ' col5<\/span> ']\n\n#find sum of columns specified \n<\/span>df[' sum<\/span> '] = df[cols]. sum<\/span> (axis= 1<\/span> )<\/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<\/span>\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' points<\/span> ': [18, 22, 19, 14, 14, 11, 20, 28],\n                   ' assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n   points assists rebounds\n0 18 5 11\n1 22 7 8\n2 19 7 10\n3 14 9 6\n4 14 12 6\n5 11 9 5\n6 20 9 9\n7 28 4 12\n<\/strong><\/pre>\n
 \uc608\uc2dc 1: \ubaa8\ub4e0 \uc5f4\uc758 \ud569\uacc4 \ucc3e\uae30<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 DataFrame\uc758 \ubaa8\ub4e0 \uc5f4\uc5d0 \ud589 \uac12\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 #define new column that contains sum of all columns<\/span>\ndf[' sum_stats<\/span> '] = df. sum<\/span> (axis= 1<\/span> )\n\n#view updated DataFrame\n<\/span>df\n\n\tpoints assists rebounds sum_stats\n0 18 5 11 34\n1 22 7 8 37\n2 19 7 10 36\n3 14 9 6 29\n4 14 12 6 32\n5 11 9 5 25\n6 20 9 9 38\n7 28 4 12 44\n<\/span><\/span><\/strong><\/pre>\n
 sum_stats<\/strong> \uc5f4\uc5d0\ub294 \ubaa8\ub4e0 \uc5f4\uc758 \ud589 \uac12\uc758 \ud569\uacc4\uac00 \ud3ec\ud568\ub429\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608\ub97c \ub4e4\uc5b4 \uac12\uc774 \uacc4\uc0b0\ub418\ub294 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n