{"id":1593,"date":"2023-07-25T17:41:38","date_gmt":"2023-07-25T17:41:38","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%83%e1%85%a1%e1%84%8c%e1%85%ae%e1%86%bc-%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba-%e1%84%89%e1%85%b5%e1%84%85%e1%85%b5%e1%84%8c\/"},"modified":"2023-07-25T17:41:38","modified_gmt":"2023-07-25T17:41:38","slug":"%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%83%e1%85%a1%e1%84%8c%e1%85%ae%e1%86%bc-%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba-%e1%84%89%e1%85%b5%e1%84%85%e1%85%b5%e1%84%8c","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%83%e1%85%a1%e1%84%8c%e1%85%ae%e1%86%bc-%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba-%e1%84%89%e1%85%b5%e1%84%85%e1%85%b5%e1%84%8c\/","title":{"rendered":"Pandas dataframe\uc5d0\uc11c \uc5ec\ub7ec \uacc4\uc5f4\uc744 \uadf8\ub9ac\ub294 \ubc29\ubc95"},"content":{"rendered":"

\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub2e8\uc77c Pandas DataFrame\uc5d0\uc11c \uc5ec\ub7ec \uacc4\uc5f4\uc744 \uadf8\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 plt. plot<\/span> (df[' series1<\/span> '])\nplt. plot<\/span> (df[' series2<\/span> '])\nplt. plot<\/span> (df[' series3<\/span> '])\n<\/strong><\/pre>\n
 \ub2e4\uc74c \ub2e8\uacc4\ubcc4 \uc608\uc81c\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
 1\ub2e8\uacc4: \ub370\uc774\ud130 \uc0dd\uc131<\/strong><\/span><\/h3>\n
 \uba3c\uc800 8\uc8fc \ub3d9\uc548 \uc138 \ud68c\uc0ac\uc758 \ucd1d \ub9e4\ucd9c\uc774 \ud3ec\ud568\ub41c pandas DataFrame\uc744 \ub9cc\ub4e4\uc5b4 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#create data\n<\/span>df = pd. DataFrame<\/span> ({' A<\/span> ': [9, 12, 15, 14, 19, 23, 25, 29],\n                   ' B<\/span> ': [5, 7, 7, 9, 12, 9, 9, 14],\n                   ' C<\/span> ': [5, 4, 7, 13, 15, 15, 18, 31]})\n#view data<\/span>\nprint(df)\n\n    ABC\n0 9 5 5\n1 12 7 4\n2 15 7 7\n3 14 9 13\n4 19 12 15\n5 23 9 15\n6 25 9 18\n7 29 14 31<\/strong><\/pre>\n
 2\ub2e8\uacc4: \uc5ec\ub7ec \uacc4\uc5f4 \ud50c\ub86f<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c\uc73c\ub85c, \ub3d9\uc77c\ud55c \uadf8\ub798\ud504\uc5d0 \uac01 \ud68c\uc0ac\uc758 \ub9e4\ucd9c\uc744 \uadf8\ub824\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#plot each series\n<\/span>plt. plot<\/span> (df[' A<\/span> '])\nplt. plot<\/span> (df[' B<\/span> '])\nplt. plot<\/span> (df[' C<\/span> '])\n\n#displayplot<\/span>\nplt. show<\/span> ()\n<\/strong><\/pre>\n
\"\"<\/p>\n
 3\ub2e8\uacc4: \ubc94\ub840 \ubc0f \ub808\uc774\ube14 \ucd94\uac00<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c\uc73c\ub85c, \ud50c\ub86f\uc744 \ub354 \uc27d\uac8c \uc77d\uc744 \uc218 \uc788\ub3c4\ub85d \ubc94\ub840\uc640 \uc77c\ubd80 \ucd95 \ub808\uc774\ube14\uc744 \ucd94\uac00\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n
 #plot individual lines with custom colors and labels\n<\/span>plt. plot<\/span> (df[' A<\/span> '], label=' A<\/span> ', color=' green<\/span> ')\nplt. plot<\/span> (df[' B<\/span> '], label=' B<\/span> ', color=' steelblue<\/span> ')\nplt. plot<\/span> (df[' C<\/span> '], label=' C<\/span> ', color=' purple<\/span> ')\n\n#add legend\n<\/span>plt. legend<\/span> (title=' Group<\/span> ')\n\n#add axes labels and a title\n<\/span>plt. ylabel<\/span> (' Sales<\/span> ', fontsize= 14<\/span> )\nplt. xlabel<\/span> (' Time<\/span> ', fontsize= 14<\/span> )\nplt. title<\/span> (' Sales by Group<\/span> ', fontsize= 16<\/span> )\n\n#displayplot\n<\/span>plt. show<\/span> ()<\/strong><\/span> <\/pre>\n
\"\"<\/p>\n
\n
 \uc774 \ud398\uc774\uc9c0<\/a> \uc5d0\uc11c \ub354 \ub9ce\uc740 \ud32c\ub354 \ud29c\ud1a0\ub9ac\uc5bc\uc744 \ucc3e\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"
\ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub2e8\uc77c Pandas DataFrame\uc5d0\uc11c \uc5ec\ub7ec \uacc4\uc5f4\uc744 \uadf8\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4. plt. plot (df[‘ series1 ‘]) plt. plot (df[‘ series2 ‘]) plt. plot (df[‘ series3 ‘]) \ub2e4\uc74c \ub2e8\uacc4\ubcc4 \uc608\uc81c\uc5d0\uc11c\ub294 \uc774 \uad6c\ubb38\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. 1\ub2e8\uacc4: \ub370\uc774\ud130 \uc0dd\uc131 \uba3c\uc800 8\uc8fc \ub3d9\uc548 \uc138 \ud68c\uc0ac\uc758 \ucd1d \ub9e4\ucd9c\uc774 \ud3ec\ud568\ub41c pandas DataFrame\uc744 \ub9cc\ub4e4\uc5b4 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. import pandas as pd #create […]<\/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-1593","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPandas DataFrame\uc5d0\uc11c \uc5ec\ub7ec \uacc4\uc5f4\uc744 \uadf8\ub9ac\ub294 \ubc29\ubc95<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc5ec\ub7ec \uc608\uc81c\uc640 \ud568\uaed8 Pandas DataFrame\uc5d0\uc11c \uc5ec\ub7ec \uacc4\uc5f4\uc744 \uadf8\ub9ac\ub294 \ubc29\ubc95\uc744 \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\" 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