{"id":4083,"date":"2023-07-13T17:16:47","date_gmt":"2023-07-13T17:16:47","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-csv%e1%84%8b%e1%85%a6%e1%84%89%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%a2%e1%86%bc\/"},"modified":"2023-07-13T17:16:47","modified_gmt":"2023-07-13T17:16:47","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-csv%e1%84%8b%e1%85%a6%e1%84%89%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%a2%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-csv%e1%84%8b%e1%85%a6%e1%84%89%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%a2%e1%86%bc\/","title":{"rendered":"Pandas: csv \ud30c\uc77c\uc5d0\uc11c \ud2b9\uc815 \uc904\ub9cc \uc77d\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

\n

\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec CSV \ud30c\uc77c\uc758 \ud2b9\uc815 \uc904\ub9cc Pandas DataFrame\uc73c\ub85c \uc77d\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 #specify rows to import\n<\/span>specific_rows = [ 0<\/span> , 2<\/span> , 3<\/span> ]\n<\/span>\n#import specific rows from CSV into DataFrame\n<\/span>df = pd. read_csv<\/span> (' my_data.csv<\/span> ', skiprows = lambda<\/span> x:x not in<\/span> specific_rows)\n<\/span><\/span><\/strong><\/pre>\n
 \uc774 \ud2b9\uc815 \uc608\uc5d0\uc11c\ub294 my_data.csv<\/strong> \ub77c\ub294 CSV \ud30c\uc77c\uc5d0\uc11c \uc778\ub371\uc2a4 \uc704\uce58 0, 2, 3\uc758 \ud589\uc744 pandas DataFrame\uc73c\ub85c \uc77d\uc2b5\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\uc758 CSV \ud30c\uc77c\uc5d0\uc11c \ud2b9\uc815 \uc904\ub9cc \uc77d\uae30<\/strong><\/span><\/h2>\n
 Basketball_data.csv<\/strong> \ub77c\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 CSV \ud30c\uc77c\uc774 \uc788\ub2e4\uace0 \uac00\uc815\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n
\"\"<\/p>\n
 read_csv()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uba74 pandas\ub294 \uc790\ub3d9\uc73c\ub85c CSV \ud30c\uc77c\uc758 \uac01 \uc904\uc744 DataFrame\uc73c\ub85c \uac00\uc838\uc635\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#import all rows of CSV into DataFrame\ndf = pd. read_csv<\/span> (' basketball_data.csv<\/span> ')\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n  team points rebounds\n0 to 22 10\n1 B 14 9\n2 C 29 6\n3 D 30 2<\/span><\/span><\/strong><\/span><\/b><\/pre>\n
 \uadf8\ub7ec\ub098 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec CSV \ud30c\uc77c\uc758 \uc778\ub371\uc2a4 \uc704\uce58 0, 2, 3\uc5d0 \uc788\ub294 \ud589\ub9cc pandas DataFrame\uc73c\ub85c \uac00\uc838\uc62c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#specify rows to import\nspecific_rows = [ 0<\/span> , 2<\/span> , 3<\/span> ]\n\n#import specific rows from CSV into DataFrame\n<\/span>df = pd. read_csv<\/span> (' basketball_data.csv<\/span> ', skiprows = lambda<\/span> x:x not in<\/span> specific_rows)\n\n#view DataFrame<\/span>\nprint<\/span> (df)\n\n  team points rebounds\n0 B 14 9\n1 C 29 6\n<\/span><\/span><\/strong><\/span><\/b><\/pre>\n
 CSV \ud30c\uc77c\uc758 \uc778\ub371\uc2a4 \uc704\uce58 0, 2, 3\uc5d0 \uc788\ub294 \ud589\ub9cc DataFrame\uc73c\ub85c \uac00\uc838\uc635\ub2c8\ub2e4.<\/span><\/p>\n
 \uc774 \uad6c\ubb38\uc740 Skiprows<\/strong> \uc778\uc218\uc640 \ub78c\ub2e4<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec CSV \ud30c\uc77c\uc744 \uac00\uc838\uc62c \ub54c \uac74\ub108 \ub6f0\uc9c0 \ub9d0\uc544\uc57c \ud560<\/em> \uc904\uc744 \ud32c\ub354\uc5d0\uac8c \uc54c\ub824\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 \uc774 \uc608\uc5d0\uc11c\ub294 \ud32c\ub354\uc5d0\uac8c CSV \ud30c\uc77c\uc744 \uac00\uc838\uc62c \ub54c \uc778\ub371\uc2a4 \uc704\uce58 0, 2, 3\uc758 \ud589\uc744 \ubb34\uc2dc\ud558\uc9c0 \ub9d0\uace0 \ub2e4\ub978 \ubaa8\ub4e0 \ud589\uc744 \ubb34\uc2dc\ud558\ub77c\uace0 \uc9c0\uc2dc\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \ucc38\uace0<\/strong> : \uc5ec\uae30\uc5d0\uc11c<\/a> pandas read_csv()<\/strong> \ud568\uc218\uc5d0 \ub300\ud55c \uc804\uccb4 \ubb38\uc11c\ub97c \ucc3e\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h2>\n
 \ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \ub2e4\ub978 \uc77c\ubc18\uc801\uc778 \uc791\uc5c5\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 Pandas: CSV \ud30c\uc77c\uc744 \uc77d\uc744 \ub54c \uc904\uc744 \uac74\ub108\ub6f0\ub294 \ubc29\ubc95<\/a>
 Pandas: \uae30\uc874 CSV \ud30c\uc77c\uc5d0 \ub370\uc774\ud130\ub97c \ucd94\uac00\ud558\ub294 \ubc29\ubc95<\/a>
 Pandas: CSV \ud30c\uc77c\uc744 \uac00\uc838\uc62c \ub54c \uc720\ud615\uc744 \uc9c0\uc815\ud558\ub294 \ubc29\ubc95<\/a>
 Pandas: CSV \ud30c\uc77c\uc744 \uac00\uc838\uc62c \ub54c \uc5f4 \uc774\ub984\uc744 \uc124\uc815\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
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