{"id":2865,"date":"2023-07-20T08:29:01","date_gmt":"2023-07-20T08:29:01","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%aa%d8%b3%d8%aa%d8%a8%d8%af%d9%84-inf-%d8%a8%d9%80-0\/"},"modified":"2023-07-20T08:29:01","modified_gmt":"2023-07-20T08:29:01","slug":"%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%aa%d8%b3%d8%aa%d8%a8%d8%af%d9%84-inf-%d8%a8%d9%80-0","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%aa%d8%b3%d8%aa%d8%a8%d8%af%d9%84-inf-%d8%a8%d9%80-0\/","title":{"rendered":"\u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u0628\u062f\u0627\u0644 \u0627\u0644\u0648\u0642\u0648\u062f \u0627\u0644\u0646\u0648\u0648\u064a \u0627\u0644\u0645\u0634\u0639 \u0628\u0627\u0644\u0635\u0641\u0631"},"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 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a \u0644\u0627\u0633\u062a\u0628\u062f\u0627\u0644 \u0642\u064a\u0645 inf \u0648 -inf \u0628\u0635\u0641\u0631 \u0641\u064a pandas DataFrame:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">replace<\/span> ([np. <span style=\"color: #3366ff;\">inf<\/span> , -np. <span style=\"color: #3366ff;\">inf<\/span> ], <span style=\"color: #008000;\">0<\/span> , inplace= <span style=\"color: #008000;\">True<\/span> )\n<\/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 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0647\u0630\u0627 \u0639\u0645\u0644\u064a\u064b\u0627.<\/span><\/p>\n<h3 style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\"><strong>\u0645\u062b\u0627\u0644: \u0627\u0633\u062a\u0628\u062f\u0644 inf \u0628\u0640 Zero \u0641\u064a Pandas<\/strong><\/span><\/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 \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<span style=\"color: #008000;\">import<\/span> numpy <span style=\"color: #008000;\">as<\/span> np\n\n<span style=\"color: #008080;\">#createDataFrame\n<span style=\"color: #000000;\">df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">team<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'],\n                   ' <span style=\"color: #ff0000;\">points<\/span> ': [18, np. <span style=\"color: #3366ff;\">inf<\/span> , 19, np. <span style=\"color: #3366ff;\">inf<\/span> , 14, 11, 20, 28],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, np. <span style=\"color: #3366ff;\">inf<\/span> ],\n                   ' <span style=\"color: #ff0000;\">rebounds<\/span> ': [np. <span style=\"color: #3366ff;\">inf<\/span> , 8, 10, 6, 6, -np. <span style=\"color: #3366ff;\">inf<\/span> , 9, 12]})<\/span>\n\n#view DataFrame\n<span style=\"color: #000000;\">df\n\n\tteam points assists rebounds\n0 A 18.0 5.0 lower\n1 B lower 7.0 8.0\n2 C 19.0 7.0 10.0\n3D lower 9.0 6.0\n4 E 14.0 12.0 6.0\n5 F 11.0 9.0 -low\n6G 20.0 9.0 9.0\n7H 28.0 lower 12.0\n<\/span><\/span><\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0644\u0627\u062d\u0638 \u0623\u0646 \u0647\u0646\u0627\u0643 \u0639\u062f\u0629 \u0642\u064a\u0645 inf \u0648-inf \u0641\u064a DataFrame.<\/span><\/p>\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\u0635\u064a\u063a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0644\u0627\u0633\u062a\u0628\u062f\u0627\u0644 \u0642\u064a\u0645 inf \u0648 -inf \u0628\u0635\u0641\u0631:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\"><span style=\"color: #000000;\"><span style=\"color: #008080;\">#replace inf and -inf with zero\n<\/span>df. <span style=\"color: #3366ff;\">replace<\/span> ([np. <span style=\"color: #3366ff;\">inf<\/span> , -np. <span style=\"color: #3366ff;\">inf<\/span> ], <span style=\"color: #008000;\">0<\/span> , inplace= <span style=\"color: #008000;\">True<\/span> )\n<\/span>\n#view updated DataFrame\n<span style=\"color: #000000;\">df\n<\/span>\n<span style=\"color: #000000;\">team points assists<\/span> <span style=\"color: #000000;\">rebounds\n0 A 18.0 5.0<\/span> <span style=\"color: #000000;\">0.0\n1 B 0.0 7.0<\/span> <span style=\"color: #000000;\">8.0\n2 C 19.0 7.0<\/span> <span style=\"color: #000000;\">10.0\n3 D 0.0 9.0<\/span> <span style=\"color: #000000;\">6.0\n4 E 14.0 12.0<\/span> <span style=\"color: #000000;\">6.0\n5 F 11.0 9.0<\/span> <span style=\"color: #000000;\">0.0\n6G 20.0 9.0<\/span> <span style=\"color: #000000;\">9.0\n7 H 28.0 0.0<\/span> <span style=\"color: #000000;\">12.0<\/span><\/span><\/strong><\/pre>\n<p style=\";text-align:right;direction:rtl\"> <span style=\"color: #000000;\">\u0644\u0627\u062d\u0638 \u0623\u0646\u0647 \u062a\u0645 \u0627\u0633\u062a\u0628\u062f\u0627\u0644 \u0643\u0644 \u0645\u0646 \u0642\u064a\u0645 inf \u0648 -inf \u0628\u0635\u0641\u0631.<\/span><\/p>\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>\u0627\u0644\u0627\u0633\u062a\u0628\u062f\u0627\u0644<\/strong> \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627 <a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.DataFrame.replace.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 \u0627\u0644\u0628\u0627\u0646\u062f\u0627:<\/span><\/p>\n<p style=\";text-align:right;direction:rtl\"> \u0643\u064a\u0641\u064a\u0629 \u0627\u062d\u062a\u0633\u0627\u0628 \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0645\u0641\u0642\u0648\u062f\u0629 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627<br \/> <a href=\"https:\/\/statorials.org\/ar\/\u0627\u0644\u0628\u0627\u0646\u062f\u0627-\u062a\u062d\u0633\u0628-\u0627\u0644\u0642\u064a\u0645-\u0627\u0644\u0645\u0641\u0642\u0648\u062f\u0629\/\" target=\"_blank\" rel=\"noopener\">\u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0645\u0641\u0642\u0648\u062f\u0629 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627<\/a><br \/> <a href=\"https:\/\/statorials.org\/ar\/\u0627\u0644\u0628\u0627\u0646\u062f\u0627-\u062a\u0645\u0644\u0627\u0654-\u0628\u0627\u0644\u0645\u062a\u0648\u0633\u0637\/\" target=\"_blank\" rel=\"noopener\">\u0643\u064a\u0641\u064a\u0629 \u0645\u0644\u0621 \u0642\u064a\u0645 NaN \u0628\u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a \u0644\u0627\u0633\u062a\u0628\u062f\u0627\u0644 \u0642\u064a\u0645 inf \u0648 -inf \u0628\u0635\u0641\u0631 \u0641\u064a pandas DataFrame: df. replace ([np. inf , -np. inf ], 0 , inplace= True ) \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 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0647\u0630\u0627 \u0639\u0645\u0644\u064a\u064b\u0627. \u0645\u062b\u0627\u0644: \u0627\u0633\u062a\u0628\u062f\u0644 inf \u0628\u0640 Zero \u0641\u064a Pandas \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 [&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 \u0627\u0633\u062a\u0628\u062f\u0627\u0644 \u0627\u0644\u0648\u0642\u0648\u062f \u0627\u0644\u0646\u0648\u0648\u064a \u0627\u0644\u0645\u0634\u0639 \u0628\u0627\u0644\u0635\u0641\u0631 - 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 \u0627\u0633\u062a\u0628\u062f\u0627\u0644 \u0642\u064a\u0645 inf \u0628\u0640 0 \u0641\u064a pandas DataFrame\u060c \u0645\u0639 \u0645\u062b\u0627\u0644.\" 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