{"id":2825,"date":"2023-07-20T12:48:52","date_gmt":"2023-07-20T12:48:52","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%a8%d9%8a%d8%a7%d9%86-%d8%ad%d8%a7%d9%84%d8%a9-%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7\/"},"modified":"2023-07-20T12:48:52","modified_gmt":"2023-07-20T12:48:52","slug":"%d8%a8%d9%8a%d8%a7%d9%86-%d8%ad%d8%a7%d9%84%d8%a9-%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d8%a8%d9%8a%d8%a7%d9%86-%d8%ad%d8%a7%d9%84%d8%a9-%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u0643\u062a\u0627\u0628\u0629 \u0628\u064a\u0627\u0646 \u0627\u0644\u062d\u0627\u0644\u0629 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627 (\u0645\u0639 \u0645\u062b\u0627\u0644)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p style=\";text-align:right;direction:rtl\"><span style=\"color: #000000;\"><strong>\u0639\u0628\u0627\u0631\u0629 \u0627\u0644\u062d\u0627\u0644\u0629<\/strong> \u0647\u064a \u0646\u0648\u0639 \u0645\u0646 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u062a\u064a \u062a\u062a\u0646\u0642\u0644 \u0639\u0628\u0631 \u0627\u0644\u0634\u0631\u0648\u0637 \u0648\u062a\u0631\u062c\u0639 \u0642\u064a\u0645\u0629 \u0639\u0646\u062f \u0627\u0633\u062a\u064a\u0641\u0627\u0621 \u0627\u0644\u0634\u0631\u0637 \u0627\u0644\u0623\u0648\u0644.<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0625\u0646 \u0623\u0628\u0633\u0637 \u0637\u0631\u064a\u0642\u0629 \u0644\u062a\u0646\u0641\u064a\u0630 \u0628\u064a\u0627\u0646 \u0627\u0644\u062d\u0627\u0644\u0629 \u0641\u064a Pandas DataFrame \u0647\u064a \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 <strong>NumPywhere()<\/strong> \u060c \u0648\u0627\u0644\u062a\u064a \u062a\u0633\u062a\u062e\u062f\u0645 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0627\u0644\u0623\u0633\u0627\u0633\u064a \u0627\u0644\u062a\u0627\u0644\u064a:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df[' <span style=\"color: #ff0000;\">new_column<\/span> '] = np. <span style=\"color: #3366ff;\">where<\/span> (df[' <span style=\"color: #ff0000;\">col2<\/span> ']&lt;9, 'value1',\n                   n.p. <span style=\"color: #3366ff;\">where<\/span> (df[' <span style=\"color: #ff0000;\">col2<\/span> ']&lt;12, 'value2',\n                   n.p. <span style=\"color: #3366ff;\">where<\/span> (df[' <span style=\"color: #ff0000;\">col2<\/span> ']&lt;15, 'value3', 'value4')))\n<\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u062a\u0628\u062d\u062b \u0647\u0630\u0647 \u0627\u0644\u062f\u0627\u0644\u0629 \u0627\u0644\u0645\u062d\u062f\u062f\u0629 \u0641\u064a \u0627\u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0645\u0648\u062c\u0648\u062f\u0629 \u0641\u064a \u0627\u0644\u0639\u0645\u0648\u062f \u0627\u0644\u0645\u0633\u0645\u0649 <strong>col2<\/strong> \u0648\u062a\u0631\u062c\u0639:<\/span><\/p>\n<ul style=\";text-align:right;direction:rtl\">\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">&#8221; <strong>value1<\/strong> &#8221; \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0627\u0644\u0642\u064a\u0645\u0629 \u0641\u064a col2 \u0623\u0642\u0644 \u0645\u0646 9<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">&#8221; <strong>value2<\/strong> &#8221; \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0627\u0644\u0642\u064a\u0645\u0629 \u0641\u064a \u0627\u0644\u0639\u0645\u0648\u062f 2 \u0623\u0642\u0644 \u0645\u0646 12<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">&#8221; <strong>value3<\/strong> &#8221; \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0627\u0644\u0642\u064a\u0645\u0629 \u0641\u064a col2 \u0623\u0642\u0644 \u0645\u0646 15<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">&#8221; <strong>\u0627\u0644\u0642\u064a\u0645\u0629 4<\/strong> &#8221; \u0625\u0630\u0627 \u0644\u0645 \u064a\u0643\u0646 \u0623\u064a \u0645\u0646 \u0627\u0644\u0634\u0631\u0648\u0637 \u0627\u0644\u0633\u0627\u0628\u0642\u0629 \u0635\u062d\u064a\u062d\u0627<\/span><\/li>\n<\/ul>\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<h3 style=\";text-align:right;direction:rtl\"> <strong><span style=\"color: #000000;\">\u0645\u062b\u0627\u0644: \u0628\u064a\u0627\u0646 \u0627\u0644\u062d\u0627\u0644\u0629 \u0641\u064a Pandas<\/span><\/strong><\/h3>\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;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#createDataFrame\n<\/span>df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">player<\/span> ': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [6, 8, 9, 9, 12, 14, 15, 17, 19, 22]})\n\n<span style=\"color: #008080;\">#view DataFrame\n<\/span>df\n\n\tplayer points\n0 1 6\n1 2 8\n2 3 9\n3 4 9\n4 5 12\n5 6 14\n6 7 15\n7 8 17\n8 9 19\n9 10 22\n<\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\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 \u0644\u0643\u062a\u0627\u0628\u0629 \u0628\u064a\u0627\u0646 \u062d\u0627\u0644\u0629 \u064a\u0642\u0648\u0645 \u0628\u0625\u0646\u0634\u0627\u0621 \u0639\u0645\u0648\u062f \u062c\u062f\u064a\u062f \u064a\u0633\u0645\u0649 <strong>\u0627\u0644\u0641\u0626\u0629<\/strong> \u0627\u0644\u062a\u064a \u064a\u062a\u0645 \u062a\u062d\u062f\u064a\u062f \u0642\u064a\u0645\u0647\u0627 \u0645\u0646 \u062e\u0644\u0627\u0644 \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0645\u0648\u062c\u0648\u062f\u0629 \u0641\u064a \u0639\u0645\u0648\u062f <strong>\u0627\u0644\u0646\u0642\u0627\u0637<\/strong> :<\/span><\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#add 'class' column using case-statement logic\n<\/span>df[' <span style=\"color: #ff0000;\">class<\/span> '] = np. <span style=\"color: #3366ff;\">where<\/span> (df[' <span style=\"color: #ff0000;\">points<\/span> ']&lt;9, 'Bad',\n              n.p. <span style=\"color: #3366ff;\">where<\/span> (df[' <span style=\"color: #ff0000;\">points<\/span> ']&lt;12, 'OK',\n              n.p. <span style=\"color: #3366ff;\">where<\/span> (df[' <span style=\"color: #ff0000;\">points<\/span> ']&lt;15, 'Good', 'Great')))\n\n<span style=\"color: #008080;\">#view updated DataFrame\n<\/span>df\n\n\tplayer points class\n0 1 6 Bad\n1 2 8 Bad\n2 3 9 OK\n3 4 9 OK\n4 5 12 Good\n5 6 14 Good\n6 7 15 Great\n7 8 17 Great\n8 9 19 Great\n9 10 22 Great\n<\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0646\u0638\u0631 \u0628\u064a\u0627\u0646 \u0627\u0644\u062d\u0627\u0644\u0629 \u0625\u0644\u0649 \u0627\u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0645\u0648\u062c\u0648\u062f\u0629 \u0641\u064a \u0639\u0645\u0648\u062f <strong>\u0627\u0644\u0646\u0642\u0627\u0637<\/strong> \u0648\u0623\u0639\u0627\u062f:<\/span><\/p>\n<ul style=\";text-align:right;direction:rtl\">\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">&#8221; <strong>\u0633\u064a\u0626<\/strong> &#8221; \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0627\u0644\u0642\u064a\u0645\u0629 \u0641\u064a \u0639\u0645\u0648\u062f \u0627\u0644\u0646\u0642\u0627\u0637 \u0623\u0642\u0644 \u0645\u0646 9<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">&#8221; <strong>\u0645\u0648\u0627\u0641\u0642<\/strong> &#8221; \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0627\u0644\u0642\u064a\u0645\u0629 \u0641\u064a \u0639\u0645\u0648\u062f \u0627\u0644\u0646\u0642\u0627\u0637 \u0623\u0642\u0644 \u0645\u0646 12<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">&#8221; <strong>\u062c\u064a\u062f<\/strong> &#8221; \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0627\u0644\u0642\u064a\u0645\u0629 \u0641\u064a \u0639\u0645\u0648\u062f \u0627\u0644\u0646\u0642\u0627\u0637 \u0623\u0642\u0644 \u0645\u0646 15<\/span><\/li>\n<li style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">&#8221; <strong>\u0631\u0627\u0626\u0639<\/strong> &#8221; \u0625\u0630\u0627 \u0644\u0645 \u064a\u0643\u0646 \u0623\u064a \u0645\u0646 \u0627\u0644\u0634\u0631\u0648\u0637 \u0627\u0644\u0633\u0627\u0628\u0642\u0629 \u0635\u062d\u064a\u062d\u0627<\/span><\/li>\n<\/ul>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0645\u0644\u0627\u062d\u0638\u0629<\/strong> : \u064a\u0645\u0643\u0646\u0643 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0627\u0644\u0648\u062b\u0627\u0626\u0642 \u0627\u0644\u0643\u0627\u0645\u0644\u0629 \u0644\u0648\u0638\u064a\u0641\u0629 <strong>NumPywhere()<\/strong> <a href=\"https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.where.html\" target=\"_blank\" rel=\"noopener\">\u0647\u0646\u0627<\/a> .<\/span><\/p>\n<h3 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0645\u0635\u0627\u062f\u0631 \u0625\u0636\u0627\u0641\u064a\u0629<\/strong><\/span><\/h3>\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 Pandas:<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> <a href=\"https:\/\/statorials.org\/ar\/\u0627\u0655\u0646\u0634\u0627\u0621-\u0627\u0644\u0628\u0627\u0646\u062f\u0627-\u0639\u0644\u0649-\u0627\u0654\u0633\u0627\u0633-\u0627\u0644\u0627\u0654\u0639\u0645\u062f\u0629\/\" target=\"_blank\" rel=\"noopener\">\u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 \u0639\u0645\u0648\u062f \u062c\u062f\u064a\u062f \u0628\u0646\u0627\u0621\u064b \u0639\u0644\u0649 \u0634\u0631\u0637 \u0641\u064a Pandas<\/a><br \/> <a href=\"https:\/\/statorials.org\/ar\/\u0634\u0631\u0648\u0637-numpy-\u0627\u0654\u0648-\u0645\u062a\u0639\u062f\u062f\u0629\/\" target=\"_blank\" rel=\"noopener\">\u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 NumPy Where() \u0628\u0634\u0631\u0648\u0637 \u0645\u062a\u0639\u062f\u062f\u0629<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0639\u0628\u0627\u0631\u0629 \u0627\u0644\u062d\u0627\u0644\u0629 \u0647\u064a \u0646\u0648\u0639 \u0645\u0646 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u062a\u064a \u062a\u062a\u0646\u0642\u0644 \u0639\u0628\u0631 \u0627\u0644\u0634\u0631\u0648\u0637 \u0648\u062a\u0631\u062c\u0639 \u0642\u064a\u0645\u0629 \u0639\u0646\u062f \u0627\u0633\u062a\u064a\u0641\u0627\u0621 \u0627\u0644\u0634\u0631\u0637 \u0627\u0644\u0623\u0648\u0644. \u0625\u0646 \u0623\u0628\u0633\u0637 \u0637\u0631\u064a\u0642\u0629 \u0644\u062a\u0646\u0641\u064a\u0630 \u0628\u064a\u0627\u0646 \u0627\u0644\u062d\u0627\u0644\u0629 \u0641\u064a Pandas DataFrame \u0647\u064a \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 NumPywhere() \u060c \u0648\u0627\u0644\u062a\u064a \u062a\u0633\u062a\u062e\u062f\u0645 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0627\u0644\u0623\u0633\u0627\u0633\u064a \u0627\u0644\u062a\u0627\u0644\u064a: df[&#8216; new_column &#8216;] = np. where (df[&#8216; col2 &#8216;]&lt;9, &#8216;value1&#8217;, n.p. where (df[&#8216; col2 &#8216;]&lt;12, &#8216;value2&#8217;, n.p. where (df[&#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>\u0643\u064a\u0641\u064a\u0629 \u0643\u062a\u0627\u0628\u0629 \u0628\u064a\u0627\u0646 \u062d\u0627\u0644\u0629 \u0641\u064a Pandas (\u0645\u0639 \u0645\u062b\u0627\u0644) - \u0627\u0644\u0625\u062d\u0635\u0627\u0626\u064a\u0627\u062a<\/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 \u0643\u062a\u0627\u0628\u0629 \u0628\u064a\u0627\u0646 \u062d\u0627\u0644\u0629 \u0641\u064a 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