{"id":2186,"date":"2023-07-23T08:12:29","date_gmt":"2023-07-23T08:12:29","guid":{"rendered":"https:\/\/statorials.org\/ko\/csv%e1%84%8b%e1%85%b4-numpy-%e1%84%90%e1%85%a6%e1%84%8b%e1%85%b5%e1%84%87%e1%85%b3%e1%86%af\/"},"modified":"2023-07-23T08:12:29","modified_gmt":"2023-07-23T08:12:29","slug":"csv%e1%84%8b%e1%85%b4-numpy-%e1%84%90%e1%85%a6%e1%84%8b%e1%85%b5%e1%84%87%e1%85%b3%e1%86%af","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/csv%e1%84%8b%e1%85%b4-numpy-%e1%84%90%e1%85%a6%e1%84%8b%e1%85%b5%e1%84%87%e1%85%b3%e1%86%af\/","title":{"rendered":"Numpy \ubc30\uc5f4\uc744 csv \ud30c\uc77c\ub85c \ub0b4\ubcf4\ub0b4\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"

<\/p>\n

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\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec NumPy \ubc30\uc5f4\uc744 CSV \ud30c\uc77c\ub85c \ub0b4\ubcf4\ub0bc \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 import<\/span> numpy as<\/span> np\n\n#define NumPy array\n<\/span>data = np. array<\/span> ([[1,2,3],[4,5,6],[7,8,9]])\n\n#export array to CSV file\n<\/span>n.p. savetxt<\/span> (\" my_data.csv<\/span> \", data, delimiter=\" ,<\/span> \")\n<\/strong><\/span><\/pre>\n
 \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774 \uad6c\ubb38\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608 1: NumPy \ubc30\uc5f4\uc744 CSV \ud615\uc2dd\uc73c\ub85c \ub0b4\ubcf4\ub0b4\uae30<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 NumPy \ubc30\uc5f4\uc744 CSV \ud30c\uc77c\ub85c \ub0b4\ubcf4\ub0b4\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#define NumPy array\n<\/span>data = np. array<\/span> ([[1,2,3], [4,5,6], [7,8,9], [10, 11, 12], [13, 14, 15]])\n\n#export array to CSV file\n<\/span>n.p. savetxt<\/span> (\" my_data.csv<\/span> \", data, delimiter=\" ,<\/span> \")<\/strong><\/span><\/pre>\n
 \ub178\ud2b8\ubd81\uc5d0\uc11c CSV \ud30c\uc77c\uc774 \uc800\uc7a5\ub41c \uc704\uce58\ub85c \uc774\ub3d9\ud558\uba74 \ub370\uc774\ud130\ub97c \ubcfc \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n
\"\"<\/p>\n
 \uc608 2: NumPy \ubc30\uc5f4\uc744 \ud2b9\uc815 \ud615\uc2dd\uc758 CSV\ub85c \ub0b4\ubcf4\ub0b4\uae30<\/strong><\/span><\/h3>\n
 \uc22b\uc790\uc758 \uae30\ubcf8 \ud615\uc2dd\uc740 “%.18e”\uc785\ub2c8\ub2e4. \uc774\ub294 18\uac1c\uc758 0\uc744 \ud45c\uc2dc\ud569\ub2c8\ub2e4. \uadf8\ub7ec\ub098 fmt<\/strong> \uc778\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub2e4\ub978 \ud615\uc2dd\uc744 \uc9c0\uc815\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608\ub97c \ub4e4\uc5b4 \ub2e4\uc74c \ucf54\ub4dc\ub294 NumPy \ubc30\uc5f4\uc744 CSV \ud615\uc2dd\uc73c\ub85c \ub0b4\ubcf4\ub0b4\uace0 \uc18c\uc218\uc810 \uc774\ud558 \ub450 \uc790\ub9ac\ub97c \uc9c0\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#define NumPy array\n<\/span>data = np. array<\/span> ([[1,2,3], [4,5,6], [7,8,9], [10, 11, 12], [13, 14, 15]])\n\n#export array to CSV file (using 2 decimal places)\n<\/span>n.p. savetxt<\/span> (\" my_data.csv<\/span> \", data, delimiter=\" ,<\/span> \", fmt=\" %.2f<\/span> \")<\/strong><\/span><\/pre>\n
 CSV \ud30c\uc77c\uc774 \uc800\uc7a5\ub41c \uc704\uce58\ub85c \uc774\ub3d9\ud558\uba74 \ub370\uc774\ud130\ub97c \ubcfc \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n
\"\"<\/p>\n
 \uc608\uc2dc 3: NumPy \ubc30\uc5f4\uc744 \ud5e4\ub354\uac00 \uc788\ub294 CSV\ub85c \ub0b4\ubcf4\ub0b4\uae30<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 NumPy \ubc30\uc5f4\uc744 \uc0ac\uc6a9\uc790 \uc815\uc758 \uc5f4 \ud5e4\ub354\uac00 \uc788\ub294 CSV \ud30c\uc77c\ub85c \ub0b4\ubcf4\ub0b4\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#define NumPy array\n<\/span>data = np. array<\/span> ([[1,2,3], [4,5,6], [7,8,9], [10, 11, 12], [13, 14, 15]])\n\n#export array to CSV file (using 2 decimal places)\n<\/span>n.p. savetxt<\/span> (\" my_data.csv<\/span> \", data, delimiter=\" ,<\/span> \", fmt=\" %.2f<\/span> \",\n           header=\" A, B, C<\/span> \", comments=\"\")<\/strong><\/span><\/pre>\n
 \ucc38\uace0<\/strong> : comments<\/strong> \uc778\uc218\ub294 “#” \uae30\ud638\uac00 \ud5e4\ub354\uc5d0 \ud45c\uc2dc\ub418\ub294 \uac83\uc744 \ubc29\uc9c0\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 CSV \ud30c\uc77c\uc774 \uc800\uc7a5\ub41c \uc704\uce58\ub85c \uc774\ub3d9\ud558\uba74 \ub370\uc774\ud130\ub97c \ubcfc \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n
\"\"<\/p>\n
 \ucc38\uace0<\/strong> : \uc5ec\uae30\uc5d0\uc11c<\/a> numpy.savetxt()<\/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><\/h3>\n
 \ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Python\uc5d0\uc11c \ub2e4\ub978 \uc77c\ubc18\uc801\uc778 \uc77d\uae30 \ubc0f \uc4f0\uae30 \uc791\uc5c5\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 NumPy\ub85c CSV \ud30c\uc77c\uc744 \uc77d\ub294 \ubc29\ubc95<\/a>
 Pandas\ub85c CSV \ud30c\uc77c\uc744 \uc77d\ub294 \ubc29\ubc95<\/a>
 Pandas DataFrame\uc744 CSV \ud30c\uc77c\ub85c \ub0b4\ubcf4\ub0b4\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec NumPy \ubc30\uc5f4\uc744 CSV \ud30c\uc77c\ub85c \ub0b4\ubcf4\ub0bc \uc218 \uc788\uc2b5\ub2c8\ub2e4. import numpy as np #define NumPy array data = np. array ([[1,2,3],[4,5,6],[7,8,9]]) #export array to CSV file n.p. savetxt (” my_data.csv “, data, delimiter=” , “) \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774 \uad6c\ubb38\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uc608 1: NumPy \ubc30\uc5f4\uc744 CSV \ud615\uc2dd\uc73c\ub85c \ub0b4\ubcf4\ub0b4\uae30 \ub2e4\uc74c \ucf54\ub4dc\ub294 NumPy […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-2186","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nNumPy \ubc30\uc5f4\uc744 CSV \ud30c\uc77c\ub85c \ub0b4\ubcf4\ub0b4\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 NumPy \ubc30\uc5f4\uc744 CSV \ud30c\uc77c\ub85c \ub0b4\ubcf4\ub0b4\ub294 \ubc29\ubc95\uc744 \uba87 \uac00\uc9c0 \uc608\uc640 \ud568\uaed8 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/ko\/csv\u110b\u1174-numpy-\u1110\u1166\u110b\u1175\u1107\u1173\u11af\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NumPy \ubc30\uc5f4\uc744 CSV \ud30c\uc77c\ub85c \ub0b4\ubcf4\ub0b4\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - Statorials\" \/>\n<meta property=\"og:description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 NumPy \ubc30\uc5f4\uc744 CSV \ud30c\uc77c\ub85c \ub0b4\ubcf4\ub0b4\ub294 \ubc29\ubc95\uc744 \uba87 \uac00\uc9c0 \uc608\uc640 \ud568\uaed8 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ko\/csv\u110b\u1174-numpy-\u1110\u1166\u110b\u1175\u1107\u1173\u11af\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-23T08:12:29+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/exporternumpy1.png\" \/>\n<meta name=\"author\" content=\"\ubca4\uc790\ubbfc \uc564\ub354\uc2a8\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"\ubca4\uc790\ubbfc \uc564\ub354\uc2a8\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1\ubd84\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/ko\/csv%e1%84%8b%e1%85%b4-numpy-%e1%84%90%e1%85%a6%e1%84%8b%e1%85%b5%e1%84%87%e1%85%b3%e1%86%af\/\",\"url\":\"https:\/\/statorials.org\/ko\/csv%e1%84%8b%e1%85%b4-numpy-%e1%84%90%e1%85%a6%e1%84%8b%e1%85%b5%e1%84%87%e1%85%b3%e1%86%af\/\",\"name\":\"NumPy \ubc30\uc5f4\uc744 CSV \ud30c\uc77c\ub85c \ub0b4\ubcf4\ub0b4\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - 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