{"id":1587,"date":"2023-07-25T18:18:37","date_gmt":"2023-07-25T18:18:37","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%ad%d8%ac%d9%85-%d8%b4%d9%83%d9%84-%d8%a7%d9%84%d8%a8%d8%ad%d8%b1\/"},"modified":"2023-07-25T18:18:37","modified_gmt":"2023-07-25T18:18:37","slug":"%d8%ad%d8%ac%d9%85-%d8%b4%d9%83%d9%84-%d8%a7%d9%84%d8%a8%d8%ad%d8%b1","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d8%ad%d8%ac%d9%85-%d8%b4%d9%83%d9%84-%d8%a7%d9%84%d8%a8%d8%ad%d8%b1\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u0636\u0628\u0637 \u062d\u062c\u0645 \u0627\u0644\u0634\u0643\u0644 \u0644\u0645\u0624\u0627\u0645\u0631\u0629 seaborn"},"content":{"rendered":"

<\/p>\n

\n

\u0647\u0646\u0627\u0643 \u0637\u0631\u064a\u0642\u062a\u0627\u0646 \u0644\u062a\u063a\u064a\u064a\u0631 \u062d\u062c\u0645 \u0627\u0644\u0631\u0633\u0645 \u0627\u0644\u0628\u064a\u0627\u0646\u064a \u0644\u0644\u0645\u062e\u0637\u0637 \u0627\u0644\u0628\u062d\u0631\u064a \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646.<\/span><\/p>\n

\u064a\u0645\u0643\u0646 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649 \u0644\u062a\u063a\u064a\u064a\u0631 \u062d\u062c\u0645 \u0627\u0644\u0645\u062e\u0637\u0637\u0627\u062a “\u0639\u0644\u0649 \u0645\u0633\u062a\u0648\u0649 \u0627\u0644\u0645\u062d\u0648\u0631” \u0645\u062b\u0644 \u0645\u062e\u0637\u0637\u0627\u062a sns.scatterplot()<\/strong> \u0623\u0648 sns.boxplot()<\/strong> :<\/span><\/p>\n

 sns. set<\/span> (rc={\" figure<\/span> . figsize<\/span> \":( 3<\/span> , 4<\/span> )}) #width=3, #height=4\n<\/span><\/strong><\/pre>\n
 \u064a\u0645\u0643\u0646 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0646\u064a\u0629 \u0644\u062a\u063a\u064a\u064a\u0631 \u062d\u062c\u0645 \u0627\u0644\u0645\u062e\u0637\u0637\u0627\u062a “\u0639\u0644\u0649 \u0645\u0633\u062a\u0648\u0649 \u0627\u0644\u0634\u0643\u0644” \u0645\u062b\u0644 \u0645\u062e\u0637\u0637\u0627\u062a sns.lmplot()<\/strong> \u0648 sns.catplot()<\/strong> \u0623\u0648 \u0645\u062e\u0637\u0637\u0627\u062a sns.jointplot()<\/strong> .<\/span><\/p>\n
 \u062a\u062a\u0637\u0644\u0628 \u0647\u0630\u0647 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u062a\u062d\u062f\u064a\u062f \u0627\u0644\u0627\u0631\u062a\u0641\u0627\u0639<\/strong> \u0648\u0627\u0644\u0627\u0631\u062a\u0641\u0627\u0639<\/strong> (\u0646\u0633\u0628\u0629 \u0627\u0644\u0639\u0631\u0636 \u0625\u0644\u0649 \u0627\u0644\u0627\u0631\u062a\u0641\u0627\u0639) \u0641\u064a \u0648\u0633\u064a\u0637\u0627\u062a \u0627\u0644\u0645\u062e\u0637\u0637:<\/span><\/p>\n
 sns. lmplot<\/span> (data=df, x=\" var1<\/span> \", y=\" var2<\/span> \",\n              height= 6<\/span> , aspect= 1.5<\/span> ) #height=6, width=1.5 times larger than height<\/span><\/strong><\/pre>\n
 \u062a\u0648\u0636\u062d \u0627\u0644\u0623\u0645\u062b\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0647\u0627\u062a\u064a\u0646 \u0627\u0644\u0637\u0631\u064a\u0642\u062a\u064a\u0646 \u0639\u0645\u0644\u064a\u064b\u0627.<\/span><\/p>\n
 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649: \u062a\u063a\u064a\u064a\u0631 \u062d\u062c\u0645 \u0627\u0644\u0645\u062e\u0637\u0637\u0627\u062a \u0639\u0644\u0649 \u0645\u0633\u062a\u0648\u0649 \u0627\u0644\u0645\u062d\u0648\u0631<\/strong><\/span><\/h3>\n
 \u0627\u0644\u0643\u0648\u062f \u0627\u0644\u062a\u0627\u0644\u064a \u064a\u0648\u0636\u062d \u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 \u0633\u062d\u0627\u0628\u0629 \u0646\u0642\u0637\u064a\u0629 \u0628\u062d\u0631\u064a\u0629 \u0628\u0639\u0631\u0636 8 \u0648\u0627\u0631\u062a\u0641\u0627\u0639 4:<\/span> <\/p>\n
 import<\/span> pandas as<\/span> pd\nimport<\/span> seaborn as<\/span> sns\n\n#create data\n<\/span>df = pd. DataFrame<\/span> ({\" var1<\/span> \": [25, 12, 15, 14, 19, 23, 25, 29],\n                   \" var2<\/span> \": [5, 7, 7, 9, 12, 9, 9, 4],\n                   \" var3<\/span> \": [11, 8, 10, 6, 6, 5, 9, 12]})\n\n#define figure size\n<\/span>sns. set<\/span> (rc={\" figure<\/span> . figsize<\/span> \":( 8<\/span> , 4<\/span> )}) #width=8, height=4<\/span>\n\n#display scatterplot\n<\/span>sns. scatterplot<\/span> (data=df, x=\" var1<\/span> \", y=\" var2<\/span> \")<\/strong> <\/pre>\n
\"\"<\/p>\n
 \u0648\u0627\u0644\u0643\u0648\u062f \u0627\u0644\u062a\u0627\u0644\u064a \u064a\u0648\u0636\u062d \u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 Seaborn boxplot \u0628\u0639\u0631\u0636 6 \u0648\u0627\u0631\u062a\u0641\u0627\u0639 5:<\/span> <\/p>\n
 #define figure size\n<\/span>sns. set<\/span> (rc={\" figure<\/span> . figsize<\/span> \":( 6<\/span> , 5<\/span> )}) #width=6, height=5<\/span>\n\n#display scatterplot\n<\/span>sns. boxplot<\/span> (data=df[\" var1<\/span> \"])<\/strong> <\/pre>\n
\"\"<\/p>\n
 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0646\u064a\u0629: \u062a\u063a\u064a\u064a\u0631 \u062d\u062c\u0645 \u0627\u0644\u0645\u0633\u0627\u0631\u0627\u062a \u0639\u0644\u0649 \u0645\u0633\u062a\u0648\u0649 \u0627\u0644\u0634\u0643\u0644<\/strong><\/span><\/h3>\n
 \u0628\u0627\u0644\u0646\u0633\u0628\u0629 \u0644\u0644\u0645\u062e\u0637\u0637\u0627\u062a \u0639\u0644\u0649 \u0645\u0633\u062a\u0648\u0649 \u0627\u0644\u0634\u0643\u0644 (\u0645\u062b\u0644 sns.lmplot\u060c \u0648sns.catplot\u060c \u0648sns.jointplot\u060c \u0648\u0645\u0627 \u0625\u0644\u0649 \u0630\u0644\u0643)\u060c \u064a\u062c\u0628 \u0639\u0644\u064a\u0643 \u062a\u062d\u062f\u064a\u062f \u0627\u0644\u0627\u0631\u062a\u0641\u0627\u0639 \u0648\u0627\u0644\u0639\u0631\u0636 \u0641\u064a \u0627\u0644\u0645\u062e\u0637\u0637 \u0646\u0641\u0633\u0647.<\/span><\/p>\n
 \u064a\u0648\u0636\u062d \u0627\u0644\u0643\u0648\u062f \u0627\u0644\u062a\u0627\u0644\u064a \u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 \u0645\u062e\u0637\u0637 \u0628\u062d\u0631\u064a \u0628\u0627\u0631\u062a\u0641\u0627\u0639 5 \u0648\u0639\u0631\u0636 \u0623\u0643\u0628\u0631 \u0628\u0640 1.5 \u0645\u0631\u0629 \u0645\u0646 \u0627\u0644\u0627\u0631\u062a\u0641\u0627\u0639:<\/span> <\/p>\n
 import<\/span> pandas as<\/span> pd\nimport<\/span> seaborn as<\/span> sns\n\n#createdata\n<\/span>df = pd. DataFrame<\/span> ({\" var1<\/span> \": [25, 12, 15, 14, 19, 23, 25, 29],\n                   \" var2<\/span> \": [5, 7, 7, 9, 12, 9, 9, 4],\n                   \" var3<\/span> \": [11, 8, 10, 6, 6, 5, 9, 12]})\n\n#create lmplot\n<\/span>sns. lmplot<\/span> (data=df, x=\" var1<\/span> \", y=\" var2<\/span> \",\n              height= 5<\/span> , aspect= 1.5<\/span> ) #height=5, width=1.5 times larger than height<\/span>\n<\/strong><\/pre>\n
\"\"<\/p>\n
 \u0648\u0627\u0644\u0643\u0648\u062f \u0627\u0644\u062a\u0627\u0644\u064a \u064a\u0648\u0636\u062d \u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 \u0642\u0637\u0639\u0629 \u0628\u062d\u0631\u064a\u0629 \u0645\u0634\u062a\u0631\u0643\u0629 \u0628\u0627\u0631\u062a\u0641\u0627\u0639 3.5. \u0646\u0638\u0631\u064b\u0627 \u0644\u0623\u0646 \u0627\u0644\u0645\u062e\u0637\u0637 \u0627\u0644\u0645\u0634\u062a\u0631\u0643 \u0645\u0631\u0628\u0639 \u0628\u0634\u0643\u0644 \u0627\u0641\u062a\u0631\u0627\u0636\u064a\u060c \u0641\u0644\u0627 \u0646\u062d\u062a\u0627\u062c \u0625\u0644\u0649 \u062a\u062d\u062f\u064a\u062f \u0642\u064a\u0645\u0629 \u0627\u0644\u0639\u0631\u0636:<\/span> <\/p>\n
 sns. jointplot<\/span> (data=df, x=\" var1<\/span> \", y=\" var2<\/span> \", height= 3.5<\/span> )<\/strong> <\/pre>\n
\"\"<\/p>\n
 \u0631\u0627\u062c\u0639\u0648\u062b\u0627\u0626\u0642 Seaborn<\/a> \u0644\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0634\u0631\u062d \u062a\u0641\u0635\u064a\u0644\u064a \u0644\u0644\u0641\u0631\u0642 \u0628\u064a\u0646 \u0648\u0638\u0627\u0626\u0641 \u0645\u0633\u062a\u0648\u0649 \u0627\u0644\u0634\u0643\u0644 \u0648\u0645\u0633\u062a\u0648\u0649 \u0627\u0644\u0645\u062d\u0648\u0631.<\/span><\/p>\n
 \u0645\u0635\u0627\u062f\u0631 \u0625\u0636\u0627\u0641\u064a\u0629<\/strong><\/span><\/h3>\n
 \u0643\u064a\u0641\u064a\u0629 \u0625\u0636\u0627\u0641\u0629 \u0639\u0646\u0648\u0627\u0646 \u0625\u0644\u0649 \u0645\u0624\u0627\u0645\u0631\u0627\u062a Seaborn<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u062a\u063a\u064a\u064a\u0631 \u062a\u0633\u0645\u064a\u0627\u062a \u0627\u0644\u0645\u062d\u0627\u0648\u0631 \u0639\u0644\u0649 \u0642\u0637\u0639\u0629 \u0623\u0631\u0636 Seaborn<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u062a\u063a\u064a\u064a\u0631 \u0645\u0648\u0636\u0639 \u0627\u0644\u0623\u0633\u0637\u0648\u0631\u0629 \u0641\u064a Seaborn<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0647\u0646\u0627\u0643 \u0637\u0631\u064a\u0642\u062a\u0627\u0646 \u0644\u062a\u063a\u064a\u064a\u0631 \u062d\u062c\u0645 \u0627\u0644\u0631\u0633\u0645 \u0627\u0644\u0628\u064a\u0627\u0646\u064a \u0644\u0644\u0645\u062e\u0637\u0637 \u0627\u0644\u0628\u062d\u0631\u064a \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646. \u064a\u0645\u0643\u0646 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649 \u0644\u062a\u063a\u064a\u064a\u0631 \u062d\u062c\u0645 \u0627\u0644\u0645\u062e\u0637\u0637\u0627\u062a “\u0639\u0644\u0649 \u0645\u0633\u062a\u0648\u0649 \u0627\u0644\u0645\u062d\u0648\u0631” \u0645\u062b\u0644 \u0645\u062e\u0637\u0637\u0627\u062a sns.scatterplot() \u0623\u0648 sns.boxplot() : sns. set (rc={” figure . figsize “:( 3 , 4 )}) #width=3, #height=4 \u064a\u0645\u0643\u0646 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0646\u064a\u0629 \u0644\u062a\u063a\u064a\u064a\u0631 \u062d\u062c\u0645 \u0627\u0644\u0645\u062e\u0637\u0637\u0627\u062a “\u0639\u0644\u0649 \u0645\u0633\u062a\u0648\u0649 \u0627\u0644\u0634\u0643\u0644” \u0645\u062b\u0644 \u0645\u062e\u0637\u0637\u0627\u062a sns.lmplot() \u0648 sns.catplot() \u0623\u0648 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"yoast_head":"\n\u0643\u064a\u0641\u064a\u0629 \u0636\u0628\u0637 \u062d\u062c\u0645 \u0627\u0644\u0634\u0643\u0644 \u0644\u0645\u0624\u0627\u0645\u0631\u0629 Seaborn - Statorials<\/title>\n<meta name=\"description\" content=\"\u064a\u0634\u0631\u062d \u0647\u0630\u0627 \u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a \u0643\u064a\u0641\u064a\u0629 \u062a\u063a\u064a\u064a\u0631 \u062d\u062c\u0645 \u0627\u0644\u0634\u0643\u0644 \u0644\u0645\u0624\u0627\u0645\u0631\u0629 Seaborn \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646\u060c \u0645\u0639 \u0639\u062f\u0629 \u0623\u0645\u062b\u0644\u0629.\" \/>\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\/ar\/\u062d\u062c\u0645-\u0634\u0643\u0644-\u0627\u0644\u0628\u062d\u0631\/\" \/>\n<meta property=\"og:locale\" content=\"az_AZ\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u0643\u064a\u0641\u064a\u0629 \u0636\u0628\u0637 \u062d\u062c\u0645 \u0627\u0644\u0634\u0643\u0644 \u0644\u0645\u0624\u0627\u0645\u0631\u0629 Seaborn - 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