{"id":1588,"date":"2023-07-25T18:11:46","date_gmt":"2023-07-25T18:11:46","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%aa%d8%b3%d9%85%d9%8a%d8%a7%d8%aa-%d8%a7%d9%84%d9%85%d8%ad%d9%88%d8%b1-%d8%a7%d9%84%d8%a8%d8%ad%d8%b1%d9%8a\/"},"modified":"2023-07-25T18:11:46","modified_gmt":"2023-07-25T18:11:46","slug":"%d8%aa%d8%b3%d9%85%d9%8a%d8%a7%d8%aa-%d8%a7%d9%84%d9%85%d8%ad%d9%88%d8%b1-%d8%a7%d9%84%d8%a8%d8%ad%d8%b1%d9%8a","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d8%aa%d8%b3%d9%85%d9%8a%d8%a7%d8%aa-%d8%a7%d9%84%d9%85%d8%ad%d9%88%d8%b1-%d8%a7%d9%84%d8%a8%d8%ad%d8%b1%d9%8a\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u062a\u063a\u064a\u064a\u0631 \u062a\u0633\u0645\u064a\u0627\u062a \u0627\u0644\u0645\u062d\u0627\u0648\u0631 \u0641\u064a \u0642\u0637\u0639\u0629 \u0623\u0631\u0636 \u0633\u064a\u0628\u0648\u0631\u0646 (\u0645\u0639 \u0623\u0645\u062b\u0644\u0629)"},"content":{"rendered":"

<\/p>\n

\n

\u0647\u0646\u0627\u0643 \u0637\u0631\u064a\u0642\u062a\u0627\u0646 \u0644\u062a\u0639\u062f\u064a\u0644 \u062a\u0633\u0645\u064a\u0627\u062a \u0627\u0644\u0645\u062d\u0627\u0648\u0631 \u0639\u0644\u0649 \u0642\u0637\u0639\u0629 \u0623\u0631\u0636 \u0628\u062d\u0631\u064a\u0629.<\/span><\/p>\n

\u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649 \u0647\u064a \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 ax.set()<\/strong> \u060c \u0648\u0627\u0644\u062a\u064a \u062a\u0633\u062a\u062e\u062f\u0645 \u0627\u0644\u0635\u064a\u063a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629:<\/span><\/p>\n

 ax. set<\/span> (xlabel=' x-axis label<\/span> ', ylabel=' y-axis label<\/span> ')\n<\/strong><\/pre>\n
 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0646\u064a\u0629 \u0647\u064a \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0648\u0638\u0627\u0626\u0641 matplotlib\u060c \u0648\u0627\u0644\u062a\u064a \u062a\u0633\u062a\u062e\u062f\u0645 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a:<\/span><\/p>\n
 plt. xlabel<\/span> (' x-axis label<\/span> ')\nplt. ylabel<\/span> (' y-axis label<\/span> ')\n<\/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 \u0643\u0644 \u0645\u0646 \u0647\u0630\u0647 \u0627\u0644\u0637\u0631\u0642 \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 \u062a\u0633\u0645\u064a\u0627\u062a \u0627\u0644\u0645\u062d\u0627\u0648\u0631 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 ax.set()<\/strong><\/span><\/h3>\n
 \u064a\u0648\u0636\u062d \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u0629 \u0627\u0644\u0628\u0631\u0645\u062c\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 Seaborn barplot \u0648\u0627\u0633\u062a\u062e\u062f\u0627\u0645 ax.set()<\/strong> \u0644\u062a\u062d\u062f\u064a\u062f \u062a\u0633\u0645\u064a\u0627\u062a \u0627\u0644\u0645\u062d\u0627\u0648\u0631:<\/span> <\/p>\n
 import<\/span> pandas as<\/span> pd\nimport<\/span> seaborn as<\/span> sns\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#create some fake data\n<\/span>df = pd. DataFrame<\/span> ({' quarter<\/span> ': ['Q1', 'Q2', 'Q3', 'Q4'],\n                   ' sales<\/span> ': [23, 26, 24, 34]})\n\n#create seaborn barplot\n<\/span>ax = sns. barplot<\/span> (x=' quarter<\/span> ', y=' sales<\/span> ', \n                 data = df, \n                 color=' steelblue<\/span> ')\n\n#specfiy axis labels<\/span>\nax. set<\/span> (xlabel=' Sales Quarter<\/span> ',\n       ylabel=' Total Sales<\/span> ',\n       title=' Sales by Quarter<\/span> ')\n\n#display barplot\n<\/span>plt. show<\/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 \u062a\u0633\u0645\u064a\u0627\u062a \u0627\u0644\u0645\u062d\u0627\u0648\u0631 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0648\u0638\u0627\u0626\u0641 Matplotlib<\/strong><\/span><\/h3>\n
 \u064a\u0648\u0636\u062d \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u0629 \u0627\u0644\u0628\u0631\u0645\u062c\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 Seaborn barplot \u0648\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0648\u0638\u0627\u0626\u0641 matplotlib \u0644\u062a\u062d\u062f\u064a\u062f \u062a\u0633\u0645\u064a\u0627\u062a \u0627\u0644\u0645\u062d\u0627\u0648\u0631:<\/span> <\/p>\n
 import<\/span> pandas as<\/span> pd\nimport<\/span> seaborn as<\/span> sns\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#create some fake data\n<\/span>df = pd. DataFrame<\/span> ({' quarter<\/span> ': ['Q1', 'Q2', 'Q3', 'Q4'],\n                   ' sales<\/span> ': [23, 26, 24, 34]})\n\n#create seaborn barplot\n<\/span>ax = sns. barplot<\/span> (x=' quarter<\/span> ', y=' sales<\/span> ', \n                 data = df, \n                 color=' steelblue<\/span> ')\n\n#specify axis labels\nplt. xlabel<\/span> (' Sales Quarter<\/span> ')\nplt. ylabel<\/span> (' Total Sales<\/span> ')\nplt. title<\/span> (' Sales by Quarter<\/span> ')\n\n#display barplot\n<\/span>plt. show<\/span> ()\n<\/span><\/span><\/strong><\/pre>\n
\"\"<\/p>\n
 \u0644\u0627\u062d\u0638 \u0623\u0646\u0647 \u064a\u0645\u0643\u0646\u0643 \u0623\u064a\u0636\u064b\u0627 \u062a\u062d\u062f\u064a\u062f \u062d\u062c\u0645 \u0627\u0644\u062e\u0637 \u0648\u0646\u0645\u0637 \u0627\u0644\u062e\u0637 \u0648\u0639\u0627\u0626\u0644\u0629 \u0627\u0644\u062e\u0637\u0648\u0637 \u0648\u0645\u064a\u0632\u0627\u062a \u0627\u0644\u062e\u0637\u0648\u0637 \u0627\u0644\u0623\u062e\u0631\u0649 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0647\u0630\u0647 \u0627\u0644\u0637\u0631\u064a\u0642\u0629:<\/span> <\/p>\n
 #specify axis labels\nplt. xlabel<\/span> (' Sales Quarter<\/span> ', size= 16<\/span> , fontstyle=' italic<\/span> ', weight= 900<\/span> )\nplt. ylabel<\/span> (' Total Sales<\/span> ', size= 16<\/span> , family=' minivan<\/span> ')\nplt. title<\/span> (' Sales by Quarter<\/span> ')\n\n#display barplot\n<\/span>plt. show<\/span> ()<\/span><\/span><\/strong> <\/pre>\n
\"\"<\/p>\n
 \u0627\u0631\u062c\u0639 \u0625\u0644\u0649 \u0648\u062b\u0627\u0626\u0642 matplotlib<\/a> \u0644\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0642\u0627\u0626\u0645\u0629 \u0643\u0627\u0645\u0644\u0629 \u0628\u0627\u0644\u0637\u0631\u0642 \u0627\u0644\u062a\u064a \u064a\u0645\u0643\u0646\u0643 \u0645\u0646 \u062e\u0644\u0627\u0644\u0647\u0627 \u062a\u062e\u0635\u064a\u0635 \u0627\u0644\u062e\u0637 \u0639\u0644\u0649 \u062a\u0633\u0645\u064a\u0627\u062a \u0627\u0644\u0645\u062d\u0627\u0648\u0631.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0647\u0646\u0627\u0643 \u0637\u0631\u064a\u0642\u062a\u0627\u0646 \u0644\u062a\u0639\u062f\u064a\u0644 \u062a\u0633\u0645\u064a\u0627\u062a \u0627\u0644\u0645\u062d\u0627\u0648\u0631 \u0639\u0644\u0649 \u0642\u0637\u0639\u0629 \u0623\u0631\u0636 \u0628\u062d\u0631\u064a\u0629. \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649 \u0647\u064a \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 ax.set() \u060c \u0648\u0627\u0644\u062a\u064a \u062a\u0633\u062a\u062e\u062f\u0645 \u0627\u0644\u0635\u064a\u063a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629: ax. set (xlabel=’ x-axis label ‘, ylabel=’ y-axis label ‘) \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0646\u064a\u0629 \u0647\u064a \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0648\u0638\u0627\u0626\u0641 matplotlib\u060c \u0648\u0627\u0644\u062a\u064a \u062a\u0633\u062a\u062e\u062f\u0645 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a: plt. xlabel (‘ x-axis label ‘) plt. ylabel (‘ y-axis label ‘) \u062a\u0648\u0636\u062d \u0627\u0644\u0623\u0645\u062b\u0644\u0629 […]<\/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 \u062a\u063a\u064a\u064a\u0631 \u062a\u0633\u0645\u064a\u0627\u062a \u0627\u0644\u0645\u062d\u0627\u0648\u0631 \u0641\u064a \u0642\u0637\u0639\u0629 \u0623\u0631\u0636 \u0633\u064a\u0628\u0648\u0631\u0646 (\u0645\u0639 \u0623\u0645\u062b\u0644\u0629)<\/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\u062d\u0631\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 \u0628\u062d\u0631\u064a\u0629\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\/\u062a\u0633\u0645\u064a\u0627\u062a-\u0627\u0644\u0645\u062d\u0648\u0631-\u0627\u0644\u0628\u062d\u0631\u064a\/\" \/>\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 \u062a\u063a\u064a\u064a\u0631 \u062a\u0633\u0645\u064a\u0627\u062a \u0627\u0644\u0645\u062d\u0627\u0648\u0631 \u0641\u064a \u0642\u0637\u0639\u0629 \u0623\u0631\u0636 \u0633\u064a\u0628\u0648\u0631\u0646 (\u0645\u0639 \u0623\u0645\u062b\u0644\u0629)\" \/>\n<meta property=\"og:description\" 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