{"id":1185,"date":"2023-07-27T08:55:04","date_gmt":"2023-07-27T08:55:04","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d9%84%d9%88%d9%86-%d8%a7%d9%84%d8%ae%d9%84%d9%81%d9%8a%d8%a9-%d9%85%d8%a7%d8%aa%d8%a8%d9%84%d9%88%d8%aa%d9%84%d9%8a%d8%a8\/"},"modified":"2023-07-27T08:55:04","modified_gmt":"2023-07-27T08:55:04","slug":"%d9%84%d9%88%d9%86-%d8%a7%d9%84%d8%ae%d9%84%d9%81%d9%8a%d8%a9-%d9%85%d8%a7%d8%aa%d8%a8%d9%84%d9%88%d8%aa%d9%84%d9%8a%d8%a8","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d9%84%d9%88%d9%86-%d8%a7%d9%84%d8%ae%d9%84%d9%81%d9%8a%d8%a9-%d9%85%d8%a7%d8%aa%d8%a8%d9%84%d9%88%d8%aa%d9%84%d9%8a%d8%a8\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u062a\u063a\u064a\u064a\u0631 \u0644\u0648\u0646 \u0627\u0644\u062e\u0644\u0641\u064a\u0629 \u0641\u064a matplotlib (\u0645\u0639 \u0623\u0645\u062b\u0644\u0629)"},"content":{"rendered":"

<\/p>\n

\n

\u0623\u0633\u0647\u0644 \u0637\u0631\u064a\u0642\u0629 \u0644\u062a\u063a\u064a\u064a\u0631 \u0644\u0648\u0646 \u062e\u0644\u0641\u064a\u0629 \u0642\u0637\u0639\u0629 \u0627\u0644\u0623\u0631\u0636 \u0641\u064a Matplotlib \u0647\u064a \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0648\u0633\u064a\u0637\u0629 set_facecolor()<\/strong> .<\/span><\/p>\n

\u0625\u0630\u0627 \u0642\u0645\u062a \u0628\u062a\u062d\u062f\u064a\u062f \u0634\u0643\u0644 \u0648\u0645\u062d\u0648\u0631 \u0641\u064a Matplotlib \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a:<\/span><\/p>\n

 fig, ax = plt. subplots<\/span> ()\n<\/strong><\/pre>\n
 \u062b\u0645 \u064a\u0645\u0643\u0646\u0643 \u0628\u0628\u0633\u0627\u0637\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a \u0644\u062a\u062d\u062f\u064a\u062f \u0644\u0648\u0646 \u062e\u0644\u0641\u064a\u0629 \u0627\u0644\u0645\u0624\u0627\u0645\u0631\u0629:<\/span><\/p>\n
 ax. set_facecolor<\/span> (' pink<\/span> ')\n<\/strong><\/pre>\n
 \u064a\u0642\u062f\u0645 \u0647\u0630\u0627 \u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a \u0639\u062f\u0629 \u0623\u0645\u062b\u0644\u0629 \u0644\u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0639\u0645\u0644\u064a \u0644\u0647\u0630\u0647 \u0627\u0644\u0648\u0638\u064a\u0641\u0629.<\/span><\/p>\n
 \u0645\u062b\u0627\u0644 1: \u062a\u0639\u064a\u064a\u0646 \u0644\u0648\u0646 \u0627\u0644\u062e\u0644\u0641\u064a\u0629 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0633\u0645 \u0627\u0644\u0644\u0648\u0646<\/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 \u062a\u0639\u064a\u064a\u0646 \u0644\u0648\u0646 \u0627\u0644\u062e\u0644\u0641\u064a\u0629 \u0644\u0645\u062e\u0637\u0637 Matplotlib \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0633\u0645 \u0627\u0644\u0644\u0648\u0646:<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#define plot figure and axis\n<\/span>fig, ax = plt. subplots<\/span> ()\n\n#define two arrays for plotting\n<\/span>A = [3, 5, 5, 6, 7, 8]\nB = [12, 14, 17, 20, 22, 27]\n\n#create scatterplot and specify background color to be pink\n<\/span>ax. scatter<\/span> (A, B)\nax. set_facecolor<\/span> (' pink<\/span> ')\n\n#display scatterplot<\/span>\nplt. show<\/span> ()<\/strong> <\/pre>\n
\"\u0644\u0648\u0646<\/p>\n
 \u0645\u062b\u0627\u0644 2: \u062a\u0639\u064a\u064a\u0646 \u0644\u0648\u0646 \u0627\u0644\u062e\u0644\u0641\u064a\u0629 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0631\u0645\u0632 \u0627\u0644\u0644\u0648\u0646 \u0627\u0644\u0633\u062a \u0639\u0634\u0631\u064a<\/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 \u062a\u0639\u064a\u064a\u0646 \u0644\u0648\u0646 \u0627\u0644\u062e\u0644\u0641\u064a\u0629 \u0644\u0645\u062e\u0637\u0637 Matplotlib \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0631\u0645\u0632 \u0627\u0644\u0644\u0648\u0646 \u0627\u0644\u0633\u062a \u0639\u0634\u0631\u064a:<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#define plot figure and axis\n<\/span>fig, ax = plt. subplots<\/span> ()\n\n#define two arrays for plotting\n<\/span>A = [3, 5, 5, 6, 7, 8]\nB = [12, 14, 17, 20, 22, 27]\n\n#create scatterplot and specify background color to be pink\n<\/span>ax. scatter<\/span> (A, B)\nax. set_facecolor<\/span> (' #33FFA2<\/span> ')\n\n#display scatterplot<\/span>\nplt. show<\/span> ()<\/strong> <\/pre>\n
\"\u0644\u0648\u0646<\/p>\n
 \u0645\u062b\u0627\u0644 3: \u0642\u0645 \u0628\u062a\u0639\u064a\u064a\u0646 \u0644\u0648\u0646 \u0627\u0644\u062e\u0644\u0641\u064a\u0629 \u0644\u0645\u062e\u0637\u0637 \u0641\u0631\u0639\u064a \u0645\u062d\u062f\u062f<\/strong><\/span><\/h3>\n
 \u0641\u064a \u0628\u0639\u0636 \u0627\u0644\u0623\u062d\u064a\u0627\u0646 \u0633\u064a\u0643\u0648\u0646 \u0644\u062f\u064a\u0643 \u0639\u062f\u0629 \u0645\u062e\u0637\u0637\u0627\u062a Matplotlib. \u0641\u064a \u0647\u0630\u0647 \u0627\u0644\u062d\u0627\u0644\u0629\u060c \u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0643\u0648\u062f \u0627\u0644\u062a\u0627\u0644\u064a \u0644\u062a\u062d\u062f\u064a\u062f \u0644\u0648\u0646 \u0627\u0644\u062e\u0644\u0641\u064a\u0629 \u0644\u0642\u0637\u0639\u0629 \u0623\u0631\u0636 \u0648\u0627\u062d\u062f\u0629:<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#define subplots\n<\/span>fig, ax = plt. subplots<\/span> (2, 2)\nfig. tight_layout<\/span> ()\n\n#define background color to use for each subplot\n<\/span>ax[0,0]. set_facecolor<\/span> (' blue<\/span> ')\nax[0,1]. set_facecolor<\/span> (' pink<\/span> ')\nax[1,0]. set_facecolor<\/span> (' green<\/span> ')\nax[1,1]. set_facecolor<\/span> (' red<\/span> ')\n\n#display subplots<\/span>\nplt. show<\/span> ()<\/strong> <\/pre>\n
\"\u0645\u062e\u0637\u0637\u0627\u062a<\/p>\n
 \u0630\u0627\u062a \u0635\u0644\u0629:<\/strong><\/span> \u0643\u064a\u0641\u064a\u0629 \u0636\u0628\u0637 \u0627\u0644\u062a\u0628\u0627\u0639\u062f \u0628\u064a\u0646 \u0645\u062e\u0637\u0637\u0627\u062a Matplotlib \u0627\u0644\u0641\u0631\u0639\u064a\u0629<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0623\u0633\u0647\u0644 \u0637\u0631\u064a\u0642\u0629 \u0644\u062a\u063a\u064a\u064a\u0631 \u0644\u0648\u0646 \u062e\u0644\u0641\u064a\u0629 \u0642\u0637\u0639\u0629 \u0627\u0644\u0623\u0631\u0636 \u0641\u064a Matplotlib \u0647\u064a \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0648\u0633\u064a\u0637\u0629 set_facecolor() . \u0625\u0630\u0627 \u0642\u0645\u062a \u0628\u062a\u062d\u062f\u064a\u062f \u0634\u0643\u0644 \u0648\u0645\u062d\u0648\u0631 \u0641\u064a Matplotlib \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a: fig, ax = plt. subplots () \u062b\u0645 \u064a\u0645\u0643\u0646\u0643 \u0628\u0628\u0633\u0627\u0637\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a \u0644\u062a\u062d\u062f\u064a\u062f \u0644\u0648\u0646 \u062e\u0644\u0641\u064a\u0629 \u0627\u0644\u0645\u0624\u0627\u0645\u0631\u0629: ax. set_facecolor (‘ pink ‘) \u064a\u0642\u062f\u0645 \u0647\u0630\u0627 \u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a \u0639\u062f\u0629 \u0623\u0645\u062b\u0644\u0629 \u0644\u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0639\u0645\u0644\u064a […]<\/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 \u0644\u0648\u0646 \u0627\u0644\u062e\u0644\u0641\u064a\u0629 \u0641\u064a Matplotlib (\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\u063a\u064a\u064a\u0631 \u0644\u0648\u0646 \u062e\u0644\u0641\u064a\u0629 \u0627\u0644\u0634\u0643\u0644 \u0641\u064a Matplotlib\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\/\u0644\u0648\u0646-\u0627\u0644\u062e\u0644\u0641\u064a\u0629-\u0645\u0627\u062a\u0628\u0644\u0648\u062a\u0644\u064a\u0628\/\" \/>\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 \u0644\u0648\u0646 \u0627\u0644\u062e\u0644\u0641\u064a\u0629 \u0641\u064a Matplotlib (\u0645\u0639 \u0623\u0645\u062b\u0644\u0629)\" \/>\n<meta property=\"og: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 \u0644\u0648\u0646 \u062e\u0644\u0641\u064a\u0629 \u0627\u0644\u0634\u0643\u0644 \u0641\u064a Matplotlib\u060c \u0645\u0639 \u0639\u062f\u0629 \u0623\u0645\u062b\u0644\u0629.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ar\/\u0644\u0648\u0646-\u0627\u0644\u062e\u0644\u0641\u064a\u0629-\u0645\u0627\u062a\u0628\u0644\u0648\u062a\u0644\u064a\u0628\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-27T08:55:04+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/couleur-darriere-plan1.png\" \/>\n<meta name=\"author\" content=\"\u062f\u0643\u062a\u0648\u0631 \u0628\u0646\u064a\u0627\u0645\u064a\u0646 \u0623\u0646\u062f\u0631\u0633\u0648\u0646\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u062f\u0643\u062a\u0648\u0631 \u0628\u0646\u064a\u0627\u0645\u064a\u0646 \u0623\u0646\u062f\u0631\u0633\u0648\u0646\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/ar\/%d9%84%d9%88%d9%86-%d8%a7%d9%84%d8%ae%d9%84%d9%81%d9%8a%d8%a9-%d9%85%d8%a7%d8%aa%d8%a8%d9%84%d9%88%d8%aa%d9%84%d9%8a%d8%a8\/\",\"url\":\"https:\/\/statorials.org\/ar\/%d9%84%d9%88%d9%86-%d8%a7%d9%84%d8%ae%d9%84%d9%81%d9%8a%d8%a9-%d9%85%d8%a7%d8%aa%d8%a8%d9%84%d9%88%d8%aa%d9%84%d9%8a%d8%a8\/\",\"name\":\"\u0643\u064a\u0641\u064a\u0629 \u062a\u063a\u064a\u064a\u0631 \u0644\u0648\u0646 \u0627\u0644\u062e\u0644\u0641\u064a\u0629 \u0641\u064a Matplotlib (\u0645\u0639 \u0623\u0645\u062b\u0644\u0629)\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/ar\/#website\"},\"datePublished\":\"2023-07-27T08:55:04+00:00\",\"dateModified\":\"2023-07-27T08:55:04+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/ar\/#\/schema\/person\/a0a26e65f97483429b863aae1a11e3b3\"},\"description\":\"\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 \u0644\u0648\u0646 \u062e\u0644\u0641\u064a\u0629 \u0627\u0644\u0634\u0643\u0644 \u0641\u064a Matplotlib\u060c \u0645\u0639 \u0639\u062f\u0629 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