{"id":979,"date":"2023-07-28T02:45:23","date_gmt":"2023-07-28T02:45:23","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%82%e1%85%a1%e1%86%af%e1%84%8d%e1%85%a1%e1%84%87%e1%85%a7%e1%86%af%e1%84%85%e1%85%a9-%e1%84%8c%e1%85%a5%e1%86%bc%e1%84%85\/"},"modified":"2023-07-28T02:45:23","modified_gmt":"2023-07-28T02:45:23","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%82%e1%85%a1%e1%86%af%e1%84%8d%e1%85%a1%e1%84%87%e1%85%a7%e1%86%af%e1%84%85%e1%85%a9-%e1%84%8c%e1%85%a5%e1%86%bc%e1%84%85","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%82%e1%85%a1%e1%86%af%e1%84%8d%e1%85%a1%e1%84%87%e1%85%a7%e1%86%af%e1%84%85%e1%85%a9-%e1%84%8c%e1%85%a5%e1%86%bc%e1%84%85\/","title":{"rendered":"Pandas dataframe\uc744 \ub0a0\uc9dc\ubcc4\ub85c \uc815\ub82c\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"

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\ub0a0\uc9dc\uac00 \ud3ec\ud568\ub41c \uc5f4\uc744 \uae30\uc900\uc73c\ub85c pandas DataFrame\uc744 \uc815\ub82c\ud558\ub824\ub294 \uacbd\uc6b0\uac00 \uc885\uc885 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\ud589\ud788 sort_values()<\/strong><\/a> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uba74 \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 \uc774 \uae30\ub2a5\uc758 \uc2e4\uc81c \uc0ac\uc6a9\uc5d0 \ub300\ud55c \uba87 \uac00\uc9c0 \uc608\ub97c \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n

\uc608 1: \ub0a0\uc9dc \uc5f4 \uae30\uc900 \uc815\ub82c<\/strong><\/span><\/h3>\n

\ub2e4\uc74c\uacfc \uac19\uc740 \ud32c\ub354 DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd.DataFrame({'sales': [4, 11, 13, 9],\n                   'customers': [2, 6, 9, 7],\n                   'date': ['2020-01-25', '2020-01-18', '2020-01-22', '2020-01-21']})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n   sales customers date\n0 4 2 2020-01-25\n1 11 6 2020-01-18\n2 13 9 2020-01-22\n3 9 7 2020-01-21\n<\/strong><\/pre>\n
 \uba3c\uc800 to_datetime()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec ‘date’ \uc5f4\uc744 datetime \uac1d\uccb4\ub85c \ubcc0\ud658\ud574\uc57c \ud569\ub2c8\ub2e4.<\/span><\/p>\n
 df[' date<\/span> '] = pd. to_datetime<\/span> (df[' date<\/span> '])\n<\/strong><\/pre>\n
 \ub2e4\uc74c\uc73c\ub85c, sort_values()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec ‘\ub0a0\uc9dc’ \uc5f4\uc744 \uae30\uc900\uc73c\ub85c DataFrame\uc744 \uc815\ub82c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 df. sort_values<\/span> (by=' date<\/span> ')\n\n        sales customers date\n1 11 6 2020-01-18\n3 9 7 2020-01-21\n2 13 9 2020-01-22\n0 4 2 2020-01-25\n<\/strong><\/pre>\n
 \uae30\ubcf8\uc801\uc73c\ub85c \uc774 \ud568\uc218\ub294 \ub0a0\uc9dc\ub97c \uc624\ub984\ucc28\uc21c\uc73c\ub85c \uc815\ub82c\ud569\ub2c8\ub2e4. \ud558\uc9c0\ub9cc \uc624\ub984\ucc28\uc21c=False\ub97c<\/strong> \uc9c0\uc815\ud558\uc5ec \ub0b4\ub9bc\ucc28\uc21c\uc73c\ub85c \uc815\ub82c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 df. sort_values<\/span> (by=' date<\/span> ', ascending= False<\/span> )\n\n\tsales customers date\n0 4 2 2020-01-25\n2 13 9 2020-01-22\n3 9 7 2020-01-21\n1 11 6 2020-01-18<\/strong><\/pre>\n
 \uc608 2: \uc5ec\ub7ec \ub0a0\uc9dc \uc5f4\uc744 \uae30\uc900\uc73c\ub85c \uc815\ub82c<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c\uacfc \uac19\uc740 \ud32c\ub354 DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd.DataFrame({'person': ['A', 'B', 'C', 'D'],\n                   'order_date': ['2020-01-15', '2020-01-15', '2020-01-20', '2020-01-20'],\n                   'receive_date': ['2020-01-25', '2020-01-18', '2020-01-22', '2020-01-21']})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n  person order_date receive_date\n0 A 2020-01-15 2020-01-25\n1 B 2020-01-15 2020-01-18\n2 C 2020-01-20 2020-01-22\n3 D 2020-01-20 2020-01-21<\/strong><\/pre>\n
 sort_values<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uba74 \uc5ec\ub7ec \uc5f4 \uc774\ub984\uc744 \ud568\uc218\uc5d0 \uc81c\uacf5\ud558\uc5ec \uc5ec\ub7ec \uc5f4\uc758 DataFrame\uc744 \uc815\ub82c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 #convert both date columns to datetime objects<\/span>\ndf[['order_date','receive_date']] = df[['order_date','receive_date']]. apply<\/span> (pd. to_datetime<\/span> )\n\n#sort DateFrame by order_date, then by receive_date\n<\/span>df. sort_values<\/span> (by=['order_date', 'receive_date'])\n\n        person order_date receive_date\n1 B 2020-01-15 2020-01-18\n0 A 2020-01-15 2020-01-25\n3 D 2020-01-20 2020-01-21\n2 C 2020-01-20 2020-01-22<\/strong><\/pre>\n
 \uc774\uc81c DataFrame\uc740 order_date\ub97c \uae30\uc900\uc73c\ub85c \uc624\ub984\ucc28\uc21c\uc73c\ub85c \uc815\ub82c\ub41c \ub2e4\uc74c, receive_date\ub97c \uae30\uc900\uc73c\ub85c \uc624\ub984\ucc28\uc21c\uc73c\ub85c \uc815\ub82c\ub429\ub2c8\ub2e4.<\/span><\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n
 Pandas DataFrame \ud589\uc744 \ub0a0\uc9dc\ubcc4\ub85c \ud544\ud130\ub9c1\ud558\ub294 \ubc29\ubc95<\/a>
 Pandas\uc5d0\uc11c DateTime\uc744 \ub0a0\uc9dc\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95<\/a>
 Pandas\uc5d0\uc11c \uc5f4\uc744 DateTime\uc73c\ub85c \ubcc0\ud658\ud558\ub294 \ubc29\ubc95
 Pandas\uc5d0\uc11c \uc778\ub371\uc2a4\uc640 \uc5f4\uc744 \ubaa8\ub450 \uae30\uc900\uc73c\ub85c \uc815\ub82c\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\ub0a0\uc9dc\uac00 \ud3ec\ud568\ub41c \uc5f4\uc744 \uae30\uc900\uc73c\ub85c pandas DataFrame\uc744 \uc815\ub82c\ud558\ub824\ub294 \uacbd\uc6b0\uac00 \uc885\uc885 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\ud589\ud788 sort_values() \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uba74 \uc774 \uc791\uc5c5\uc744 \uc27d\uac8c \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc774 \uae30\ub2a5\uc758 \uc2e4\uc81c \uc0ac\uc6a9\uc5d0 \ub300\ud55c \uba87 \uac00\uc9c0 \uc608\ub97c \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uc608 1: \ub0a0\uc9dc \uc5f4 \uae30\uc900 \uc815\ub82c \ub2e4\uc74c\uacfc \uac19\uc740 \ud32c\ub354 DataFrame\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4. import pandas as pd #createDataFrame df = pd.DataFrame({‘sales’: [4, 11, 13, 9], 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