{"id":3129,"date":"2023-07-19T01:54:21","date_gmt":"2023-07-19T01:54:21","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%aa%d8%ad%d9%88%d9%8a%d9%84-%d8%a7%d9%84%d9%83%d8%a7%d9%8a%d9%94%d9%86-%d8%a7%d9%95%d9%84%d9%89-%d8%aa%d8%b9%d9%88%d9%8a%d9%85\/"},"modified":"2023-07-19T01:54:21","modified_gmt":"2023-07-19T01:54:21","slug":"%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%aa%d8%ad%d9%88%d9%8a%d9%84-%d8%a7%d9%84%d9%83%d8%a7%d9%8a%d9%94%d9%86-%d8%a7%d9%95%d9%84%d9%89-%d8%aa%d8%b9%d9%88%d9%8a%d9%85","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%ad%d9%88%d9%8a%d9%84-%d8%a7%d9%84%d9%83%d8%a7%d9%8a%d9%94%d9%86-%d8%a7%d9%95%d9%84%d9%89-%d8%aa%d8%b9%d9%88%d9%8a%d9%85\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0643\u0627\u0626\u0646 \u0625\u0644\u0649 \u0639\u0627\u0626\u0645 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627 (\u0645\u0639 \u0623\u0645\u062b\u0644\u0629)"},"content":{"rendered":"

<\/p>\n

\n

\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0625\u062d\u062f\u0649 \u0627\u0644\u0637\u0631\u0642 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0644\u062a\u062d\u0648\u064a\u0644 \u0639\u0645\u0648\u062f \u0645\u0646 \u0627\u0644\u0628\u0627\u0646\u062f\u0627 DataFrame \u0645\u0646 \u0643\u0627\u0626\u0646 \u0625\u0644\u0649 \u0639\u0627\u0626\u0645:<\/span><\/p>\n

\u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649: \u0627\u0633\u062a\u062e\u062f\u0627\u0645 astype()<\/strong><\/span><\/p>\n

 df[' column_name<\/span> '] = df[' column_name<\/span> ']. astype<\/span> (float)<\/strong><\/pre>\n
 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0646\u064a\u0629: \u0627\u0633\u062a\u062e\u062f\u0645 to_numeric()<\/strong><\/span><\/p>\n
 df[' column_name<\/span> '] = pd. to_numeric<\/span> (df[' column_name<\/span> '])<\/strong><\/b><\/pre>\n
 \u0643\u0644\u0627 \u0627\u0644\u0637\u0631\u064a\u0642\u062a\u064a\u0646 \u062a\u0646\u062a\u062c \u0646\u0641\u0633 \u0627\u0644\u0646\u062a\u064a\u062c\u0629.<\/span><\/p>\n
 \u062a\u0648\u0636\u062d \u0627\u0644\u0623\u0645\u062b\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0643\u0644 \u0637\u0631\u064a\u0642\u0629 \u0645\u0639 \u0627\u0644\u0628\u0627\u0646\u062f\u0627 DataFrame \u0627\u0644\u062a\u0627\u0644\u064a\u0629:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n<\/span><\/span>\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'],\n                   ' points<\/span> ': ['18', '22.2', '19.1', '14', '14', '11.5', '20', '28'],\n                   ' assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n  team points assists\n0 to 18 5\n1 B 22.2 7\n2 C 19.1 7\n3 D 14 9\n4 E 14 12\n5 F 11.5 9\n6 G 20 9\n7:28 a.m. 4\n\n#check data type of each column\n<\/span>print<\/span> ( df.dtypes<\/span> )\n\nteam object\npoints object\nassists int64\ndtype:object\n<\/span><\/span><\/strong><\/pre>\n
 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649: \u0627\u0633\u062a\u062e\u062f\u0645 astype() \u0644\u062a\u062d\u0648\u064a\u0644 \u0643\u0627\u0626\u0646 \u0625\u0644\u0649 \u0639\u062f\u062f \u0639\u0627\u0626\u0645<\/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 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 astype()<\/strong> \u0644\u062a\u062d\u0648\u064a\u0644 \u0639\u0645\u0648\u062f \u0627\u0644\u0646\u0642\u0637\u0629 \u0641\u064a DataFrame \u0627\u0644\u062e\u0627\u0635 \u0628\u0627\u0644\u0643\u0627\u0626\u0646 \u0625\u0644\u0649 \u0639\u062f\u062f \u0639\u0634\u0631\u064a:<\/span><\/p>\n
 #convert points column from object to float\ndf[' points<\/span> '] = df[' points<\/span> ']. astype<\/span> (float)\n<\/span>\n#view updated DataFrame\nprint<\/span> (df)\n\n  team points assists\n0 A 18.0 5\n1 B 22.2 7\n2 C 19.1 7\n3D 14.0 9\n4 E 14.0 12\n5 F 11.5 9\n6G 20.0 9\n7 A.M. 28.0 4\n<\/span>\n#view updated data types\nprint<\/span> ( df.dtypes<\/span> )\n\nteam object\nfloat64 points\nassists int64\ndtype:object<\/span><\/span><\/strong>\n<\/pre>\n
 \u0644\u0627\u062d\u0638 \u0623\u0646 \u0639\u0645\u0648\u062f \u0627\u0644\u0646\u0642\u0627\u0637 \u064a\u062d\u062a\u0648\u064a \u0627\u0644\u0622\u0646 \u0639\u0644\u0649 \u0646\u0648\u0639 \u0628\u064a\u0627\u0646\u0627\u062a float64<\/strong> .<\/span><\/span><\/p>\n
 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0646\u064a\u0629: \u0627\u0633\u062a\u062e\u062f\u0645 to_numeric() \u0644\u062a\u062d\u0648\u064a\u0644 \u0643\u0627\u0626\u0646 \u0625\u0644\u0649 Float<\/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 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 to_numeric()<\/strong> \u0644\u062a\u062d\u0648\u064a\u0644 \u0639\u0645\u0648\u062f \u0627\u0644\u0646\u0642\u0637\u0629 \u0641\u064a DataFrame \u0627\u0644\u062e\u0627\u0635 \u0628\u0627\u0644\u0643\u0627\u0626\u0646 \u0625\u0644\u0649 \u0639\u0645\u0648\u062f \u0639\u0634\u0631\u064a:<\/span><\/p>\n
 #convert points column from object to float\ndf[' points<\/span> '] = pd. to_numeric<\/span> (df[' points<\/span> '], errors=' coerce<\/span> ')\n<\/span>\n#view updated DataFrame\nprint<\/span> (df)\n\n  team points assists\n0 A 18.0 5\n1 B 22.2 7\n2 C 19.1 7\n3D 14.0 9\n4 E 14.0 12\n5 F 11.5 9\n6G 20.0 9\n7 A.M. 28.0 4\n<\/span>\n#view updated data types\nprint<\/span> ( df.dtypes<\/span> )\n\nteam object\nfloat64 points\nassists int64\ndtype:object<\/span><\/span><\/strong>\n<\/pre>\n
 \u0644\u0627\u062d\u0638 \u0623\u0646 \u0639\u0645\u0648\u062f \u0627\u0644\u0646\u0642\u0627\u0637 \u064a\u062d\u062a\u0648\u064a \u0627\u0644\u0622\u0646 \u0639\u0644\u0649 \u0646\u0648\u0639 \u0628\u064a\u0627\u0646\u0627\u062a float64<\/strong> .<\/span><\/p>\n
 \u0644\u0627\u062d\u0638 \u0623\u064a\u0636\u064b\u0627 \u0623\u0646 \u0647\u0630\u0647 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u062a\u0646\u062a\u062c \u0646\u0641\u0633 \u0627\u0644\u0646\u062a\u064a\u062c\u0629 \u062a\u0645\u0627\u0645\u064b\u0627 \u0645\u062b\u0644 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0633\u0627\u0628\u0642\u0629.<\/span><\/p>\n
 \u0645\u0635\u0627\u062f\u0631 \u0625\u0636\u0627\u0641\u064a\u0629<\/strong><\/span><\/h3>\n
 \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
 \u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0645\u0646\u0637\u0642\u064a\u0629 \u0625\u0644\u0649 \u0642\u064a\u0645 \u0635\u062d\u064a\u062d\u0629 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 DateTime \u0625\u0644\u0649 \u0633\u0644\u0633\u0644\u0629 \u0641\u064a Pandas<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0625\u0644\u0649 \u0623\u0639\u062f\u0627\u062f \u0635\u062d\u064a\u062d\u0629 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0625\u062d\u062f\u0649 \u0627\u0644\u0637\u0631\u0642 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0644\u062a\u062d\u0648\u064a\u0644 \u0639\u0645\u0648\u062f \u0645\u0646 \u0627\u0644\u0628\u0627\u0646\u062f\u0627 DataFrame \u0645\u0646 \u0643\u0627\u0626\u0646 \u0625\u0644\u0649 \u0639\u0627\u0626\u0645: \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649: \u0627\u0633\u062a\u062e\u062f\u0627\u0645 astype() df[‘ column_name ‘] = df[‘ column_name ‘]. astype (float) \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0646\u064a\u0629: \u0627\u0633\u062a\u062e\u062f\u0645 to_numeric() df[‘ column_name ‘] = pd. to_numeric (df[‘ column_name ‘]) \u0643\u0644\u0627 \u0627\u0644\u0637\u0631\u064a\u0642\u062a\u064a\u0646 \u062a\u0646\u062a\u062c \u0646\u0641\u0633 \u0627\u0644\u0646\u062a\u064a\u062c\u0629. \u062a\u0648\u0636\u062d \u0627\u0644\u0623\u0645\u062b\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0643\u0644 \u0637\u0631\u064a\u0642\u0629 \u0645\u0639 \u0627\u0644\u0628\u0627\u0646\u062f\u0627 DataFrame […]<\/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\u062d\u0648\u064a\u0644 \u0643\u0627\u0626\u0646 \u0625\u0644\u0649 \u0639\u0627\u0626\u0645 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627 (\u0645\u0639 \u0623\u0645\u062b\u0644\u0629) - 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\u062d\u0648\u064a\u0644 \u0643\u0627\u0626\u0646 \u0625\u0644\u0649 \u0639\u0627\u0626\u0645 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627\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-\u062a\u062d\u0648\u064a\u0644-\u0627\u0644\u0643\u0627\u064a\u0654\u0646-\u0627\u0655\u0644\u0649-\u062a\u0639\u0648\u064a\u0645\/\" \/>\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\u062d\u0648\u064a\u0644 \u0643\u0627\u0626\u0646 \u0625\u0644\u0649 \u0639\u0627\u0626\u0645 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627 (\u0645\u0639 \u0623\u0645\u062b\u0644\u0629) - Statorials\" \/>\n<meta property=\"og:description\" content=\"\u064a\u0634\u0631\u062d \u0647\u0630\u0627 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