{"id":3580,"date":"2023-07-16T17:22:59","date_gmt":"2023-07-16T17:22:59","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba-%e1%84%8b%e1%85%a7%e1%86%af-%e1%84%87%e1%85%ae%e1%86%ab%e1%84%91%e1%85%a9\/"},"modified":"2023-07-16T17:22:59","modified_gmt":"2023-07-16T17:22:59","slug":"%e1%84%91%e1%85%a2%e1%86%ab%e1%84%83%e1%85%a5-%e1%84%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba-%e1%84%8b%e1%85%a7%e1%86%af-%e1%84%87%e1%85%ae%e1%86%ab%e1%84%91%e1%85%a9","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%91%e1%85%b3%e1%86%af%e1%84%85%e1%85%a9%e1%86%ba-%e1%84%8b%e1%85%a7%e1%86%af-%e1%84%87%e1%85%ae%e1%86%ab%e1%84%91%e1%85%a9\/","title":{"rendered":"Pandas\uc5d0\uc11c \uc5f4 \uac12\uc758 \ubd84\ud3ec\ub97c \uadf8\ub9ac\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

\n

\ub2e4\uc74c \ubc29\ubc95\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc5d0\uc11c \uc5f4 \uac12\uc758 \ubd84\ud3ec\ub97c \uadf8\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\ubc29\ubc95 1: \uc5f4\uc758 \uac12 \ubd84\ud3ec \ud50c\ub86f<\/strong><\/span><\/p>\n

 df[' my_column<\/span> ']. plot<\/span> (kind=' kde<\/span> ')\n<\/strong><\/pre>\n
 \ubc29\ubc95 2: \ud55c \uc5f4\uc758 \uac12 \ubd84\ud3ec\ub97c \ub2e4\ub978 \uc5f4\ub85c \uadf8\ub8f9\ud654\ud558\uc5ec \ud45c\uc2dc<\/strong><\/span><\/p>\n
 df. groupby<\/span> (' group_column<\/span> ')[' values_column<\/span> ']. plot<\/span> (kind=' kde<\/span> ')<\/strong><\/pre>\n
 \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \ub2e4\uc74c pandas DataFrame\uc5d0\uc11c \uc2e4\uc81c\ub85c \uac01 \uba54\uc11c\ub4dc\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A',\n                            'B', 'B', 'B', 'B', 'B', 'B', 'B', 'B', 'B', 'B'],\n                   ' points<\/span> ': [3, 3, 4, 5, 4, 7, 7, 7, 10, 11, \n                              8, 7, 8, 9, 12, 12, 12, 14, 15, 17]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n   team points\n0 to 3\n1 to 3\n2 to 4\n3 to 5\n4 to 4\n5 TO 7\n6 to 7\n7 to 7\n8 to 10\n9 to 11\n10 B 8\n11 B 7\n12 B 8\n13 B 9\n14 B 12\n15 B 12\n16 B 12\n17 B 14\n18 B 15\n19 B 17<\/strong><\/pre>\n
 \uc608 1: \uc5f4\uc758 \uac12 \ubd84\ud3ec \ud50c\ub86f<\/strong><\/span><\/h2>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \ud3ec\uc778\ud2b8<\/strong> \uc5f4\uc758 \uac12 \ubd84\ud3ec\ub97c \uadf8\ub9ac\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n
 #plot distribution of values in points column<\/span>\ndf[' points<\/span> ']. plot<\/span> (kind=' kde<\/span> ')\n<\/strong><\/pre>\n
\"\"<\/p>\n
 kind=’kde’\ub294<\/strong> \ud32c\ub354\uc5d0\uac8c \ubcc0\uc218 \uac12\uc758 \ubd84\ud3ec\ub97c \uc694\uc57d\ud558\ub294 \ubd80\ub4dc\ub7ec\uc6b4 \uace1\uc120\uc744 \uc0dd\uc131\ud558\ub294 \ucee4\ub110 \ubc00\ub3c4 \ucd94\uc815\uc744<\/strong> \uc0ac\uc6a9\ud558\ub3c4\ub85d \uc9c0\uc2dc\ud569\ub2c8\ub2e4.<\/span><\/span><\/p>\n
 \ub300\uc2e0 \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc744 \uc0dd\uc131\ud558\ub824\uba74 \ub2e4\uc74c\uacfc \uac19\uc774 kind=’hist’\ub97c<\/strong> \uc9c0\uc815\ud558\uba74 \ub429\ub2c8\ub2e4.<\/span> <\/p>\n
 #plot distribution of values in points column using histogram<\/span>\ndf[' points<\/span> ']. plot<\/span> (kind=' hist<\/span> ', edgecolor=' black<\/span> ')<\/strong> <\/pre>\n
\"\"<\/p>\n
 \uc774 \ubc29\ubc95\uc740 \ubd84\ud3ec \ubaa8\uc591\uc744 \uc694\uc57d\ud558\ub294 \ub9e4\ub044\ub7ec\uc6b4 \uc120\uacfc \ub2ec\ub9ac \ub9c9\ub300\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc810<\/strong> \uc5f4\uc5d0 \uc788\ub294 \uac12\uc758 \ube48\ub3c4\ub97c \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608 2: \ud55c \uc5f4\uc758 \uac12 \ubd84\ud3ec\ub97c \ub2e4\ub978 \uc5f4\ub85c \uadf8\ub8f9\ud654\ud558\uc5ec \ud50c\ub86f<\/strong><\/span><\/h2>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \ud300<\/strong> \uc5f4\ubcc4\ub85c \uadf8\ub8f9\ud654\ub41c \ud3ec\uc778\ud2b8<\/strong> \uc5f4\uc758 \uac12 \ubd84\ud3ec\ub97c \uadf8\ub9ac\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n
 import<\/span> matplotlib.pyplot as<\/span> plt\n\n#plot distribution of points by team \n<\/span>df. groupby<\/span> (' team<\/span> ')[' points<\/span> ']. plot<\/span> (kind=' kde<\/span> ')\n\n#add legend\n<\/span>plt. legend<\/span> ([' A<\/span> ',' B<\/span> '], title=' Team<\/span> ')\n\n#add x-axis label<\/span>\nplt. xlabel<\/span> (' Points<\/span> ')\n<\/strong><\/pre>\n
\"\"<\/p>\n
 \ud30c\ub780\uc0c9 \uc120\uc740 A\ud300 \uc120\uc218\uc758 \uc810\uc218 \ubd84\ud3ec\ub97c \ub098\ud0c0\ub0b4\uace0, \uc8fc\ud669\uc0c9 \uc120\uc740 B\ud300 \uc120\uc218\uc758 \uc810\uc218 \ubd84\ud3ec\ub97c \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span><\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h2>\n
 \ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 Pandas\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\uc5d0\uc11c \ud50c\ub86f\uc5d0 \uc81c\ubaa9\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95<\/a>
 \ud32c\ub354 \ud50c\ub86f\uc758 \uadf8\ub9bc \ud06c\uae30\ub97c \uc870\uc815\ud558\ub294 \ubc29\ubc95<\/a>
 \uc11c\ube0c\ud50c\ub86f\uc5d0 \uc5ec\ub7ec Pandas DataFrame\uc744 \uadf8\ub9ac\ub294 \ubc29\ubc95<\/a>
 Pandas\uc5d0\uc11c \ud50c\ub86f \ubc94\ub840\ub97c \uc0dd\uc131\ud558\uace0 \uc0ac\uc6a9\uc790 \uc815\uc758\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\ub2e4\uc74c \ubc29\ubc95\uc744 \uc0ac\uc6a9\ud558\uc5ec Pandas DataFrame\uc5d0\uc11c \uc5f4 \uac12\uc758 \ubd84\ud3ec\ub97c \uadf8\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ubc29\ubc95 1: \uc5f4\uc758 \uac12 \ubd84\ud3ec \ud50c\ub86f df[‘ my_column ‘]. plot (kind=’ kde ‘) \ubc29\ubc95 2: \ud55c \uc5f4\uc758 \uac12 \ubd84\ud3ec\ub97c \ub2e4\ub978 \uc5f4\ub85c \uadf8\ub8f9\ud654\ud558\uc5ec \ud45c\uc2dc df. groupby (‘ group_column ‘)[‘ values_column ‘]. plot (kind=’ kde ‘) \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \ub2e4\uc74c pandas DataFrame\uc5d0\uc11c \uc2e4\uc81c\ub85c \uac01 \uba54\uc11c\ub4dc\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 […]<\/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-3580","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nPandas\uc5d0\uc11c \uc5f4 \uac12\uc758 \ubd84\ud3ec\ub97c \uadf8\ub9ac\ub294 \ubc29\ubc95 \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc608\uc81c\ub97c \ud3ec\ud568\ud558\uc5ec Pandas DataFrame\uc5d0\uc11c \uc5f4 \uac12\uc758 \ubd84\ud3ec\ub97c \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\" href=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165-\u1111\u1173\u11af\u1105\u1169\u11ba-\u110b\u1167\u11af-\u1107\u116e\u11ab\u1111\u1169\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas\uc5d0\uc11c \uc5f4 \uac12\uc758 \ubd84\ud3ec\ub97c \uadf8\ub9ac\ub294 \ubc29\ubc95 \u2013 Statorials\" \/>\n<meta property=\"og:description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uc608\uc81c\ub97c \ud3ec\ud568\ud558\uc5ec Pandas DataFrame\uc5d0\uc11c \uc5f4 \uac12\uc758 \ubd84\ud3ec\ub97c \uadf8\ub9ac\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ko\/\u1111\u1162\u11ab\u1103\u1165-\u1111\u1173\u11af\u1105\u1169\u11ba-\u110b\u1167\u11af-\u1107\u116e\u11ab\u1111\u1169\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-16T17:22:59+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/kde1.jpg\" \/>\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\" 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