{"id":4008,"date":"2023-07-14T05:03:41","date_gmt":"2023-07-14T05:03:41","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d9%85%d9%82%d9%8a%d8%a7%d8%b3-%d9%84%d9%88%d8%ba%d8%a7%d8%b1%d9%8a%d8%aa%d9%85%d9%8a-%d8%a8%d8%ad%d8%b1%d9%8a\/"},"modified":"2023-07-14T05:03:41","modified_gmt":"2023-07-14T05:03:41","slug":"%d9%85%d9%82%d9%8a%d8%a7%d8%b3-%d9%84%d9%88%d8%ba%d8%a7%d8%b1%d9%8a%d8%aa%d9%85%d9%8a-%d8%a8%d8%ad%d8%b1%d9%8a","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d9%85%d9%82%d9%8a%d8%a7%d8%b3-%d9%84%d9%88%d8%ba%d8%a7%d8%b1%d9%8a%d8%aa%d9%85%d9%8a-%d8%a8%d8%ad%d8%b1%d9%8a\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0645\u0642\u064a\u0627\u0633 \u0627\u0644\u0644\u0648\u063a\u0627\u0631\u064a\u062a\u0645\u064a \u0641\u064a \u0645\u062e\u0637\u0637\u0627\u062a seaborn"},"content":{"rendered":"<p><\/p>\n<hr>\n<p style=\";text-align:right;direction:rtl\"><span style=\"color: #000000;\">\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u062a\u064a\u0646 <b>plt.xscale()<\/b> \u0648 <strong>plt.yscale()<\/strong> \u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0645\u0642\u064a\u0627\u0633 \u0644\u0648\u063a\u0627\u0631\u064a\u062a\u0645\u064a \u0644\u0644\u0645\u062d\u0648\u0631 x \u0648\u0627\u0644\u0645\u062d\u0648\u0631 y\u060c \u0639\u0644\u0649 \u0627\u0644\u062a\u0648\u0627\u0644\u064a\u060c \u0641\u064a \u0627\u0644\u0645\u062e\u0637\u0637 \u0627\u0644\u0628\u062d\u0631\u064a:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n<span style=\"color: #008000;\">import<\/span> seaborn <span style=\"color: #008000;\">as<\/span> sns\n\n<span style=\"color: #008080;\">#create scatterplot with log scale on both axes\n<\/span>sns. <span style=\"color: #3366ff;\">scatterplot<\/span> (data=df, x=' <span style=\"color: #ff0000;\">x<\/span> ', y=' <span style=\"color: #ff0000;\">y<\/span> ')\nplt. <span style=\"color: #3366ff;\">xscale<\/span> ('log')\nplt. <span style=\"color: #3366ff;\">yscale<\/span> ('log')<\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u064a\u0648\u0636\u062d \u0627\u0644\u0645\u062b\u0627\u0644 \u0627\u0644\u062a\u0627\u0644\u064a \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0647\u0630\u0647 \u0627\u0644\u0648\u0638\u0627\u0626\u0641 \u0639\u0645\u0644\u064a\u064b\u0627.<\/span><\/p>\n<h2 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0645\u062b\u0627\u0644: \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0645\u0642\u064a\u0627\u0633 \u0627\u0644\u0644\u0648\u063a\u0627\u0631\u064a\u062a\u0645\u064a \u0641\u064a \u0645\u062e\u0637\u0637 Seaborn<\/strong><\/span><\/h2>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0644\u0646\u0641\u062a\u0631\u0636 \u0623\u0646 \u0644\u062f\u064a\u0646\u0627 DataFrame \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u0627\u0644\u062a\u0627\u0644\u064a\u0629:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#createDataFrame<\/span>\ndf = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">x<\/span> ': [2, 5, 6, 7, 9, 13, 14, 16, 18],\n                   ' <span style=\"color: #ff0000;\">y<\/span> ': [200, 1700, 2300, 2500, 2800, 2900, 3400, 3900, 11000]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n    xy\n0 2 200\n1 5 1700\n2 6 2300\n3 7 2500\n4 9 2800\n5 13 2900\n6 14 3400\n7 16 3900\n8 18 11000<\/span><\/span><\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u064a\u0645\u0643\u0646\u0646\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u062f\u0627\u0644\u0629 <strong>scatterplot()<\/strong> \u200e \u0641\u064a seaborn \u0644\u0625\u0646\u0634\u0627\u0621 \u0645\u062e\u0637\u0637 scatterplot \u064a\u0633\u062a\u062e\u062f\u0645 \u0645\u0642\u064a\u0627\u0633\u064b\u0627 \u062e\u0637\u064a\u064b\u0627 \u0639\u0644\u0649 \u0643\u0644 \u0645\u0646 \u0627\u0644\u0645\u062d\u0648\u0631 x \u0648\u0627\u0644\u0645\u062d\u0648\u0631 y:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> seaborn <span style=\"color: #008000;\">as<\/span> sns\n\n<span style=\"color: #008080;\">#create scatterplot with default axis scales\n<\/span>sns. <span style=\"color: #3366ff;\">scatterplot<\/span> (data=df, x=' <span style=\"color: #ff0000;\">x<\/span> ', y=' <span style=\"color: #ff0000;\">y<\/span> ')\n<\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-32053 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/journaux1.jpg\" alt=\"\" width=\"554\" height=\"404\" srcset=\"\" sizes=\"\"><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0645\u0642\u064a\u0627\u0633 \u0644\u0648\u063a\u0627\u0631\u064a\u062a\u0645\u064a \u0644\u0644\u0645\u062d\u0648\u0631 y \u0641\u0642\u0637\u060c \u064a\u0645\u0643\u0646\u0646\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0635\u064a\u063a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n<span style=\"color: #008000;\">import<\/span> seaborn <span style=\"color: #008000;\">as<\/span> sns\n\n<span style=\"color: #008080;\">#create scatterplot with log scale on y-axis\n<\/span>sns. <span style=\"color: #3366ff;\">scatterplot<\/span> (data=df, x=' <span style=\"color: #ff0000;\">x<\/span> ', y=' <span style=\"color: #ff0000;\">y<\/span> ')\nplt. <span style=\"color: #3366ff;\">yscale<\/span> ('log')\n<\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-32054\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/journaux2.jpg\" alt=\"\u0645\u0642\u064a\u0627\u0633 \u0644\u0648\u063a\u0627\u0631\u064a\u062a\u0645\u064a\" width=\"546\" height=\"414\" srcset=\"\" sizes=\"\"><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0644\u0627\u062d\u0638 \u0623\u0646 \u0627\u0644\u0645\u062d\u0648\u0631 Y \u064a\u0633\u062a\u062e\u062f\u0645 \u0627\u0644\u0622\u0646 \u0645\u0642\u064a\u0627\u0633\u064b\u0627 \u0644\u0648\u063a\u0627\u0631\u064a\u062a\u0645\u064a\u064b\u0627.<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u064a\u0645\u0643\u0646\u0646\u0627 \u0623\u064a\u0636\u064b\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0645\u0642\u064a\u0627\u0633 \u0644\u0648\u063a\u0627\u0631\u064a\u062a\u0645\u064a \u0639\u0644\u0649 \u0627\u0644\u0645\u062d\u0648\u0631 \u0627\u0644\u0633\u064a\u0646\u064a \u0625\u0630\u0627 \u0623\u0631\u062f\u0646\u0627:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> matplotlib. <span style=\"color: #3366ff;\">pyplot<\/span> <span style=\"color: #008000;\">as<\/span> plt\n<span style=\"color: #008000;\">import<\/span> seaborn <span style=\"color: #008000;\">as<\/span> sns\n\n<span style=\"color: #008080;\">#create scatterplot with log scale on both axes\n<\/span>sns. <span style=\"color: #3366ff;\">scatterplot<\/span> (data=df, x=' <span style=\"color: #ff0000;\">x<\/span> ', y=' <span style=\"color: #ff0000;\">y<\/span> ')\nplt. <span style=\"color: #3366ff;\">yscale<\/span> (' <span style=\"color: #ff0000;\">log<\/span> ')\nplt. <span style=\"color: #3366ff;\">xscale<\/span> (' <span style=\"color: #ff0000;\">log<\/span> ')<\/strong> <\/pre>\n<p style=\";text-align:right;direction:rtl\"><img decoding=\"async\" loading=\"lazy\" class=\" wp-image-32055 aligncenter\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/journaux3.jpg\" alt=\"\" width=\"545\" height=\"418\" srcset=\"\" sizes=\"\"><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0644\u0627\u062d\u0638 \u0623\u0646 \u0643\u0644\u0627 \u0627\u0644\u0645\u062d\u0648\u0631\u064a\u0646 \u064a\u0633\u062a\u062e\u062f\u0645\u0627\u0646 \u0627\u0644\u0622\u0646 \u0645\u0642\u064a\u0627\u0633\u064b\u0627 \u0644\u0648\u063a\u0627\u0631\u064a\u062a\u0645\u064a\u064b\u0627.<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0630\u0627\u062a \u0635\u0644\u0629:<\/strong> <a href=\"https:\/\/statorials.org\/ar\/\u0645\u062a\u0649-\u064a\u062a\u0645-\u0627\u0633\u062a\u062e\u062f\u0627\u0645-\u0627\u0644\u0645\u0642\u064a\u0627\u0633-\u0627\u0644\u0644\u0648\u063a\u0627\u0631\u064a\u062a\u0645\u064a\/\" target=\"_blank\" rel=\"noopener\">\u0645\u062a\u0649 \u064a\u062c\u0628 \u0639\u0644\u064a\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0645\u0642\u064a\u0627\u0633 \u0627\u0644\u0644\u0648\u063a\u0627\u0631\u064a\u062a\u0645\u064a \u0641\u064a \u0627\u0644\u0631\u0633\u0648\u0645 \u0627\u0644\u0628\u064a\u0627\u0646\u064a\u0629\u061f<\/a><\/span><\/p>\n<h2 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0645\u0635\u0627\u062f\u0631 \u0625\u0636\u0627\u0641\u064a\u0629<\/strong><\/span><\/h2>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u062a\u0634\u0631\u062d \u0627\u0644\u0628\u0631\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u062a\u0646\u0641\u064a\u0630 \u0627\u0644\u0645\u0647\u0627\u0645 \u0627\u0644\u0634\u0627\u0626\u0639\u0629 \u0627\u0644\u0623\u062e\u0631\u0649 \u0641\u064a Seaborn:<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <a href=\"https:\/\/statorials.org\/ar\/\u0639\u0646\u0648\u0627\u0646-\u0628\u062d\u0631\u064a\/\" target=\"_blank\" rel=\"noopener\">\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><br \/> <a href=\"https:\/\/statorials.org\/ar\/\u062a\u0633\u0645\u064a\u0627\u062a-\u0645\u062d\u0648\u0631-\u062f\u0648\u0631\u0627\u0646-\u0627\u0644\u0628\u062d\u0631\/\" target=\"_blank\" rel=\"noopener\">\u0643\u064a\u0641\u064a\u0629 \u062a\u062f\u0648\u064a\u0631 \u062a\u0633\u0645\u064a\u0627\u062a \u0627\u0644\u0645\u062d\u0648\u0631 \u0641\u064a \u0645\u0624\u0627\u0645\u0631\u0627\u062a Seaborn<\/a><br \/> <a href=\"https:\/\/statorials.org\/ar\/\u062a\u0633\u0645\u064a\u0627\u062a-\u0627\u0644\u0645\u062d\u0648\u0631-\u0627\u0644\u0628\u062d\u0631\u064a\/\" target=\"_blank\" rel=\"noopener\">\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><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u062a\u064a\u0646 plt.xscale() \u0648 plt.yscale() \u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0645\u0642\u064a\u0627\u0633 \u0644\u0648\u063a\u0627\u0631\u064a\u062a\u0645\u064a \u0644\u0644\u0645\u062d\u0648\u0631 x \u0648\u0627\u0644\u0645\u062d\u0648\u0631 y\u060c \u0639\u0644\u0649 \u0627\u0644\u062a\u0648\u0627\u0644\u064a\u060c \u0641\u064a \u0627\u0644\u0645\u062e\u0637\u0637 \u0627\u0644\u0628\u062d\u0631\u064a: import matplotlib. pyplot as plt import seaborn as sns #create scatterplot with log scale on both axes sns. scatterplot (data=df, x=&#8217; x &#8216;, y=&#8217; y &#8216;) plt. xscale (&#8216;log&#8217;) plt. yscale (&#8216;log&#8217;) \u064a\u0648\u0636\u062d \u0627\u0644\u0645\u062b\u0627\u0644 \u0627\u0644\u062a\u0627\u0644\u064a \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 [&hellip;]<\/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":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0645\u0642\u064a\u0627\u0633 \u0627\u0644\u0644\u0648\u063a\u0627\u0631\u064a\u062a\u0645\u064a \u0641\u064a \u0645\u0624\u0627\u0645\u0631\u0627\u062a Seaborn - \u0639\u0644\u0645 \u0627\u0644\u0625\u062d\u0635\u0627\u0621<\/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 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0645\u0642\u064a\u0627\u0633 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