{"id":3854,"date":"2023-07-15T03:52:31","date_gmt":"2023-07-15T03:52:31","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%a7%d9%84%d8%aa%d9%86%d8%b3%d9%8a%d9%82-%d8%a7%d9%84%d8%b4%d8%b1%d8%b7%d9%8a\/"},"modified":"2023-07-15T03:52:31","modified_gmt":"2023-07-15T03:52:31","slug":"%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%a7%d9%84%d8%aa%d9%86%d8%b3%d9%8a%d9%82-%d8%a7%d9%84%d8%b4%d8%b1%d8%b7%d9%8a","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%a7%d9%84%d8%aa%d9%86%d8%b3%d9%8a%d9%82-%d8%a7%d9%84%d8%b4%d8%b1%d8%b7%d9%8a\/","title":{"rendered":"\u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u062a\u0637\u0628\u064a\u0642 \u0627\u0644\u062a\u0646\u0633\u064a\u0642 \u0627\u0644\u0634\u0631\u0637\u064a \u0639\u0644\u0649 \u0627\u0644\u062e\u0644\u0627\u064a\u0627"},"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\u0629 <b>df.style.applymap()<\/b> \u0644\u062a\u0637\u0628\u064a\u0642 \u0627\u0644\u062a\u0646\u0633\u064a\u0642 \u0627\u0644\u0634\u0631\u0637\u064a \u0639\u0644\u0649 \u0627\u0644\u062e\u0644\u0627\u064a\u0627 \u0641\u064a Pandas DataFrame.<\/span><\/p>\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\u064a\u0641\u0629 \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: \u062a\u0637\u0628\u064a\u0642 \u0627\u0644\u062a\u0646\u0633\u064a\u0642 \u0627\u0644\u0634\u0631\u0637\u064a \u0639\u0644\u0649 \u0627\u0644\u062e\u0644\u0627\u064a\u0627 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627<\/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 \u0627\u0644\u062a\u064a \u062a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u0645\u0639\u0644\u0648\u0645\u0627\u062a \u062d\u0648\u0644 \u0645\u062e\u062a\u0644\u0641 \u0644\u0627\u0639\u0628\u064a \u0643\u0631\u0629 \u0627\u0644\u0633\u0644\u0629:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><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;\">points<\/span> ': [18, 22, 19, 14, 14, 11, 20, 28],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [4, 5, 5, 4, 9, 12, 11, 8],\n                   ' <span style=\"color: #ff0000;\">rebounds<\/span> ': [3, 9, 12, 4, 4, 9, 8, 2]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df)\n\n   points assists rebounds\n0 18 4 3\n1 22 5 9\n2 19 5 12\n3 14 4 4\n4 14 9 4\n5 11 12 9\n6 20 11 8\n7 28 8 2\n<\/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 \u0627\u0644\u0643\u0648\u062f \u0627\u0644\u062a\u0627\u0644\u064a \u0644\u062a\u0637\u0628\u064a\u0642 \u062e\u0644\u0641\u064a\u0629 \u062e\u0636\u0631\u0627\u0621 \u0641\u0627\u062a\u062d\u0629 \u0639\u0644\u0649 \u0643\u0644 \u062e\u0644\u064a\u0629 \u0641\u064a DataFrame \u0644\u0647\u0627 \u0642\u064a\u0645\u0629 \u0623\u0642\u0644 \u0645\u0646 10:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#define function for conditional formatting\n<\/span><span style=\"color: #008000;\">def<\/span> <span style=\"color: #3366ff;\">cond_formatting<\/span> (x):\n    <span style=\"color: #008000;\">if<\/span> x &lt; <span style=\"color: #008000;\">10<\/span> :\n        <span style=\"color: #008000;\">return<\/span> ' <span style=\"color: #ff0000;\">background-color: lightgreen<\/span> '\n    <span style=\"color: #008000;\">else<\/span> :\n        <span style=\"color: #008000;\">return<\/span> <span style=\"color: #008000;\">None<\/span>\n    \n<span style=\"color: #008080;\">#display DataFrame with conditional formatting applied    \n<\/span>df. <span style=\"color: #3366ff;\">style<\/span> . <span style=\"color: #3366ff;\">applymap<\/span> (cond_formatting)<\/span>\n<\/span><\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-31152\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/condition1.jpg\" alt=\"\u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u0627\u0644\u062a\u0646\u0633\u064a\u0642 \u0627\u0644\u0634\u0631\u0637\u064a\" width=\"220\" height=\"296\" srcset=\"\" sizes=\"\"><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0644\u0627\u062d\u0638 \u0623\u0646 \u0643\u0644 \u062e\u0644\u064a\u0629 \u0641\u064a DataFrame \u0628\u0642\u064a\u0645\u0629 \u0623\u0642\u0644 \u0645\u0646 10 \u0644\u0647\u0627 \u0627\u0644\u0622\u0646 \u062e\u0644\u0641\u064a\u0629 \u062e\u0636\u0631\u0627\u0621 \u0641\u0627\u062a\u062d\u0629.<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0645\u0644\u0627\u062d\u0638\u0629<\/strong> : \u0625\u0630\u0627 \u0644\u0645 \u064a\u0639\u0645\u0644 \u0627\u0644\u062a\u0646\u0633\u064a\u0642 \u0627\u0644\u0634\u0631\u0637\u064a \u0641\u064a \u062f\u0641\u062a\u0631 \u0645\u0644\u0627\u062d\u0638\u0627\u062a Jupyter\u060c \u0641\u062a\u0623\u0643\u062f \u0645\u0646 \u062a\u0634\u063a\u064a\u0644 \u0627\u0644\u0623\u0645\u0631 <strong>%pip install Jinja2<\/strong> \u0623\u0648\u0644\u0627\u064b.<\/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 \u0648\u0633\u064a\u0637\u0627\u062a <strong>\u0627\u0644\u0644\u0648\u0646<\/strong> <strong>\u0648\u0648\u0632\u0646 \u0627\u0644\u062e\u0637<\/strong> \u0644\u062a\u0637\u0628\u064a\u0642 \u062a\u0646\u0633\u064a\u0642 \u0634\u0631\u0637\u064a \u0623\u0643\u062b\u0631 \u062a\u0639\u0642\u064a\u062f\u064b\u0627.<\/span><\/p>\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\u0644\u0642\u064a\u0627\u0645 \u0628\u0630\u0644\u0643:<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#define function for conditional formatting\n<\/span><span style=\"color: #008000;\"><span style=\"color: #000000;\"><span style=\"color: #008000;\">def<\/span> <span style=\"color: #3366ff;\">cond_formatting<\/span> (x):\n    <span style=\"color: #008000;\">if<\/span> x &lt; <span style=\"color: #008000;\">10<\/span> :\n        <span style=\"color: #008000;\">return<\/span> ' <span style=\"color: #ff0000;\">background-color: lightgreen; color:red; font-weight:bold<\/span> '\n    <span style=\"color: #008000;\">elif<\/span> x &lt; <span style=\"color: #008000;\">15<\/span> :\n        <span style=\"color: #008000;\">return<\/span> ' <span style=\"color: #ff0000;\">background-color:yellow<\/span> '\n    <span style=\"color: #008000;\">else<\/span> :<\/span>\n        return None<\/span>\n    \n<span style=\"color: #008080;\">#display DataFrame with conditional formatting applied    \n<\/span>df. <span style=\"color: #3366ff;\">style<\/span> . <span style=\"color: #3366ff;\">applymap<\/span> (cond_formatting)<\/span><\/span><\/strong> <\/pre>\n<p style=\";text-align:right;direction:rtl\"><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-31153\" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/condi2.jpg\" alt=\"\u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u0627\u0644\u062a\u0646\u0633\u064a\u0642 \u0627\u0644\u0634\u0631\u0637\u064a \u0645\u0639 \u0634\u0631\u0648\u0637 \u0645\u062a\u0639\u062f\u062f\u0629\" width=\"226\" height=\"297\" srcset=\"\" sizes=\"\"><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0625\u0644\u064a\u0643 \u0643\u064a\u0641\u064a\u0629 \u0639\u0645\u0644 \u0648\u0638\u064a\u0641\u0629 \u0627\u0644\u062a\u0646\u0633\u064a\u0642 \u0627\u0644\u0634\u0631\u0637\u064a \u0641\u064a \u0647\u0630\u0627 \u0627\u0644\u0645\u062b\u0627\u0644:<\/span><\/p>\n<ul style=\";text-align:right;direction:rtl\">\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0628\u0627\u0644\u0646\u0633\u0628\u0629 \u0644\u0644\u0642\u064a\u0645 \u0627\u0644\u0623\u0642\u0644 \u0645\u0646 <strong>10<\/strong> \u060c \u0627\u0633\u062a\u062e\u062f\u0645 \u062e\u0644\u0641\u064a\u0629 \u062e\u0636\u0631\u0627\u0621 \u0641\u0627\u062a\u062d\u0629 \u0645\u0639 \u062e\u0637 \u0623\u062d\u0645\u0631 \u063a\u0627\u0645\u0642<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0628\u0627\u0644\u0646\u0633\u0628\u0629 \u0644\u0644\u0642\u064a\u0645 \u2265 <strong>10<\/strong> \u0648\u0644\u0643\u0646 \u0623\u0642\u0644 \u0645\u0646 <strong>15<\/strong> \u060c \u0627\u0633\u062a\u062e\u062f\u0645 \u062e\u0644\u0641\u064a\u0629 \u0635\u0641\u0631\u0627\u0621<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0628\u0627\u0644\u0646\u0633\u0628\u0629 \u0644\u0644\u0642\u064a\u0645 \u0627\u0644\u0623\u0643\u0628\u0631 \u0645\u0646 <strong>15<\/strong> \u060c \u0644\u0627 \u062a\u0633\u062a\u062e\u062f\u0645 \u0623\u064a \u062a\u0646\u0633\u064a\u0642 \u0634\u0631\u0637\u064a<\/span><\/li>\n<\/ul>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\u0644\u0627 \u062a\u062a\u0631\u062f\u062f \u0641\u064a \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0639\u062f\u064a\u062f \u0645\u0646 \u0648\u0638\u0627\u0626\u0641 <strong>if<\/strong> \u0648 <strong>elif<\/strong> \u0648 <strong>else<\/strong> \u0643\u0645\u0627 \u062a\u0631\u064a\u062f \u0644\u062a\u0637\u0628\u064a\u0642 \u0627\u0644\u0639\u062f\u064a\u062f \u0645\u0646 \u0642\u0648\u0627\u0639\u062f \u0627\u0644\u062a\u0646\u0633\u064a\u0642 \u0627\u0644\u0634\u0631\u0637\u064a \u0639\u0644\u0649 \u0627\u0644\u062e\u0644\u0627\u064a\u0627 \u0641\u064a DataFrame \u0643\u0645\u0627 \u062a\u0631\u064a\u062f.<\/span><\/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\u0639\u0645\u0644\u064a\u0627\u062a \u0627\u0644\u0634\u0627\u0626\u0639\u0629 \u0627\u0644\u0623\u062e\u0631\u0649 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627:<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <a href=\"https:\/\/statorials.org\/ar\/\u0639\u0646\u0648\u0627\u0646-\u0627\u0655\u0637\u0627\u0631-\u0628\u064a\u0627\u0646\u0627\u062a-\u0627\u0644\u0628\u0627\u0646\u062f\u0627\/\" target=\"_blank\" rel=\"noopener\">\u0643\u064a\u0641\u064a\u0629 \u0625\u0636\u0627\u0641\u0629 \u0639\u0646\u0648\u0627\u0646 \u062c\u062f\u0648\u0644 \u0625\u0644\u0649 Pandas DataFrame<\/a><br \/> <a href=\"https:\/\/statorials.org\/ar\/\u0627\u0644\u0628\u0627\u0646\u062f\u0627-\u062a\u0638\u0647\u0631-\u0643\u0627\u0641\u0629-\u0627\u0644\u0635\u0641\u0648\u0641\/\" target=\"_blank\" rel=\"noopener\">\u0643\u064a\u0641\u064a\u0629 \u0639\u0631\u0636 \u062c\u0645\u064a\u0639 \u0627\u0644\u0635\u0641\u0648\u0641 \u0641\u064a Pandas DataFrame<\/a><br \/> <a href=\"https:\/\/statorials.org\/ar\/\u0627\u0644\u0628\u0627\u0646\u062f\u0627-\u062a\u0638\u0647\u0631-\u0643\u0627\u0641\u0629-\u0627\u0644\u0627\u0654\u0639\u0645\u062f\u0629\/\" target=\"_blank\" rel=\"noopener\">\u0643\u064a\u0641\u064a\u0629 \u0639\u0631\u0636 \u062c\u0645\u064a\u0639 \u0623\u0639\u0645\u062f\u0629 Pandas DataFrame<\/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\u0629 df.style.applymap() \u0644\u062a\u0637\u0628\u064a\u0642 \u0627\u0644\u062a\u0646\u0633\u064a\u0642 \u0627\u0644\u0634\u0631\u0637\u064a \u0639\u0644\u0649 \u0627\u0644\u062e\u0644\u0627\u064a\u0627 \u0641\u064a Pandas DataFrame. \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\u064a\u0641\u0629 \u0639\u0645\u0644\u064a\u064b\u0627. \u0645\u062b\u0627\u0644: \u062a\u0637\u0628\u064a\u0642 \u0627\u0644\u062a\u0646\u0633\u064a\u0642 \u0627\u0644\u0634\u0631\u0637\u064a \u0639\u0644\u0649 \u0627\u0644\u062e\u0644\u0627\u064a\u0627 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \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 \u0627\u0644\u062a\u064a \u062a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u0645\u0639\u0644\u0648\u0645\u0627\u062a \u062d\u0648\u0644 \u0645\u062e\u062a\u0644\u0641 \u0644\u0627\u0639\u0628\u064a \u0643\u0631\u0629 \u0627\u0644\u0633\u0644\u0629: import pandas as pd #createDataFrame df = pd. DataFrame ({&#8216; points &#8216;: [&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>\u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u062a\u0637\u0628\u064a\u0642 \u0627\u0644\u062a\u0646\u0633\u064a\u0642 \u0627\u0644\u0634\u0631\u0637\u064a \u0639\u0644\u0649 \u0627\u0644\u062e\u0644\u0627\u064a\u0627 - 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\u0637\u0628\u064a\u0642 \u0627\u0644\u062a\u0646\u0633\u064a\u0642 \u0627\u0644\u0634\u0631\u0637\u064a \u0639\u0644\u0649 \u0627\u0644\u062e\u0644\u0627\u064a\u0627 \u0641\u064a Pandas DataFrame\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\/\u0627\u0644\u0628\u0627\u0646\u062f\u0627-\u0627\u0644\u062a\u0646\u0633\u064a\u0642-\u0627\u0644\u0634\u0631\u0637\u064a\/\" \/>\n<meta property=\"og:locale\" content=\"az_AZ\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u062a\u0637\u0628\u064a\u0642 \u0627\u0644\u062a\u0646\u0633\u064a\u0642 \u0627\u0644\u0634\u0631\u0637\u064a \u0639\u0644\u0649 \u0627\u0644\u062e\u0644\u0627\u064a\u0627 - 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