{"id":897,"date":"2023-07-28T09:25:50","date_gmt":"2023-07-28T09:25:50","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%92%e1%85%a2%e1%86%bc-%e1%84%92%e1%85%a1%e1%86%b8%e1%84%80%e1%85%a8-%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%83%e1%85%a6%e1%84%8b%e1%85%b5%e1%84%90%e1%85%a5-%e1%84%91%e1%85%b3\/"},"modified":"2023-07-28T09:25:50","modified_gmt":"2023-07-28T09:25:50","slug":"%e1%84%92%e1%85%a2%e1%86%bc-%e1%84%92%e1%85%a1%e1%86%b8%e1%84%80%e1%85%a8-%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%83%e1%85%a6%e1%84%8b%e1%85%b5%e1%84%90%e1%85%a5-%e1%84%91%e1%85%b3","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%92%e1%85%a2%e1%86%bc-%e1%84%92%e1%85%a1%e1%86%b8%e1%84%80%e1%85%a8-%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%83%e1%85%a6%e1%84%8b%e1%85%b5%e1%84%90%e1%85%a5-%e1%84%91%e1%85%b3\/","title":{"rendered":"Pandas dataframe\uc5d0\uc11c \ud589\uc758 \ud569\uacc4\ub97c \ucc3e\ub294 \ubc29\ubc95"},"content":{"rendered":"

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\uc885\uc885 Pandas DataFrame\uc5d0 \uc788\ub294 \ud558\ub098 \uc774\uc0c1\uc758 \ud589\uc758 \ud569\uacc4\ub97c \uacc4\uc0b0\ud558\ub294 \ub370 \uad00\uc2ec\uc774 \uc788\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\ud589\ud788\ub3c4 pandas\uc5d0\uc11c\ub294 sum(axis=1)<\/a> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc774 \uc791\uc5c5\uc744 \uc27d\uac8c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \ub2e4\uc74c DataFrame\uc5d0\uc11c \uc774 \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\nimport<\/span> numpy as<\/span> np\n\n#createDataFrame<\/span>\ndf = pd.DataFrame({'rating': [90, 85, 82, 88, 94, 90, 76, 75, 87, 86],\n                   'points': [25, 20, 14, 16, 27, 20, 12, 15, 14, 19],\n                   'assists': [5, 7, 7, 8, 5, 7, 6, 9, 9, 5],\n                   'rebounds': [8, np.nan, 10, 6, 6, 9, 6, 10, 10, 7]})\n\n#view DataFrame<\/span> \ndf\n\n\n        rating points assists rebounds\n0 90 25 5 8.0\n1 85 20 7 NaN\n2 82 14 7 10.0\n3 88 16 8 6.0\n4 94 27 5 6.0\n5 90 20 7 9.0\n6 76 12 6 6.0\n7 75 15 9 10.0\n8 87 14 9 10.0\n9 86 19 5 7.07\n<\/strong><\/pre>\n
 \uc608\uc2dc 1: \uac01 \ud589\uc758 \ud569\uacc4 \ucc3e\uae30<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec DataFrame\uc758 \uac01 \ud589\uc758 \ud569\uacc4\ub97c \ucc3e\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 df. sum<\/span> (axis=1)\n\n0 128.0\n1,112.0\n2,113.0\n3 118.0\n4,132.0\n5,126.0\n6 100.0\n7 109.0\n8 120.0\n9 117.0\ndtype:float64<\/strong><\/pre>\n
 \ucd9c\ub825\uc740 \ub2e4\uc74c\uc744 \uc54c\ub824\uc90d\ub2c8\ub2e4.<\/span><\/p>\n