{"id":895,"date":"2023-07-28T09:32:44","date_gmt":"2023-07-28T09:32:44","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%aa%d8%ad%d9%88%d9%8a%d9%84-%d8%b3%d9%84%d8%b3%d9%84%d8%a9-%d8%a7%d9%95%d9%84%d9%89-%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%a7%d9%84%d8%b9%d8%a7%d9%8a%d9%94%d9%85%d8%a9\/"},"modified":"2023-07-28T09:32:44","modified_gmt":"2023-07-28T09:32:44","slug":"%d8%aa%d8%ad%d9%88%d9%8a%d9%84-%d8%b3%d9%84%d8%b3%d9%84%d8%a9-%d8%a7%d9%95%d9%84%d9%89-%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%a7%d9%84%d8%b9%d8%a7%d9%8a%d9%94%d9%85%d8%a9","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d8%aa%d8%ad%d9%88%d9%8a%d9%84-%d8%b3%d9%84%d8%b3%d9%84%d8%a9-%d8%a7%d9%95%d9%84%d9%89-%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%a7%d9%84%d8%b9%d8%a7%d9%8a%d9%94%d9%85%d8%a9\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0627\u0644\u0633\u0644\u0627\u0633\u0644 \u0625\u0644\u0649 \u062a\u0639\u0648\u064a\u0645 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627"},"content":{"rendered":"

<\/p>\n

\n

\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0637\u0631\u0642 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0644\u062a\u062d\u0648\u064a\u0644 \u0633\u0644\u0633\u0644\u0629 \u0625\u0644\u0649 \u062a\u0639\u0648\u064a\u0645 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627:<\/span><\/p>\n

\u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649: \u062a\u062d\u0648\u064a\u0644 \u0639\u0645\u0648\u062f \u0648\u0627\u062d\u062f \u0625\u0644\u0649 \u0639\u0645\u0648\u062f \u0639\u0627\u0626\u0645<\/strong><\/span><\/p>\n

 #convert \"assists\" column from string to float<\/span>\ndf[' assists<\/span> '] = df[' assists<\/span> ']. astype<\/span> (float)\n<\/strong><\/pre>\n
 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0646\u064a\u0629: \u062a\u062d\u0648\u064a\u0644 \u0623\u0639\u0645\u062f\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u0625\u0644\u0649 \u0623\u0639\u0645\u062f\u0629 \u0639\u0627\u0626\u0645\u0629<\/strong><\/span><\/p>\n
 #convert both \"assists\" and \"rebounds\" from strings to floats\n<\/span>df[[' assists<\/span> ', ' rebounds<\/span> ']] = df[[' assists<\/span> ', ' rebounds<\/span> ']]. astype<\/span> (float)<\/strong><\/pre>\n
 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0644\u062b\u0629: \u062a\u062d\u0648\u064a\u0644 \u0643\u0627\u0641\u0629 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0625\u0644\u0649 \u062a\u0639\u0648\u064a\u0645<\/strong><\/span><\/p>\n
 #convert all columns to float\n<\/span>df = df. astype<\/span> (float)<\/strong><\/pre>\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 \u0639\u0645\u0644\u064a\u064b\u0627 \u0645\u0639 \u0627\u0644\u0628\u0627\u0646\u062f\u0627 DataFrame \u0627\u0644\u062a\u0627\u0644\u064a\u0629:<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\nimport<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd. DataFrame<\/span> ({' points<\/span> ': [np.nan, 12, 15, 14, 19],\n                   ' assists<\/span> ': ['5', np.nan, '7', '9', '12'],\n                   ' rebounds<\/span> ': ['11', '8', '10', '6', '6']})  \n\n#view DataFrame\n<\/span>df\n\n \tpoints assists rebounds\n0 NaN 5.0 11\n1 12.0 NaN 8\n2 15.0 7.0 10\n3 14.0 9.0 6\n4 19.0 12.0 6\n\n#view column data types\n<\/span>df. dtypes\n\nfloat64 points\nassists object\nrebound object\ndtype:object<\/span><\/span><\/strong><\/pre>\n
 \u0627\u0644\u0645\u062b\u0627\u0644 1: \u062a\u062d\u0648\u064a\u0644 \u0639\u0645\u0648\u062f \u0648\u0627\u062d\u062f \u0625\u0644\u0649 \u0639\u0645\u0648\u062f \u0639\u0627\u0626\u0645<\/strong><\/span><\/h2>\n
 \u064a\u0648\u0636\u062d \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a \u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0627\u0644\u0639\u0645\u0648\u062f \u0627\u0644\u0645\u0633\u0627\u0639\u062f<\/strong> \u0645\u0646 \u0633\u0644\u0633\u0644\u0629 \u0625\u0644\u0649 \u0639\u062f\u062f \u0639\u0634\u0631\u064a:<\/span><\/p>\n
 #convert \"assists\" from string to float<\/span>\ndf[' assists<\/span> '] = df[' assists<\/span> ']. astype<\/span> (float)\n\n#view column data types<\/span>\ndf. dtypes<\/span>\n\nfloat64 points\nassist float64\nrebound object\ndtype:object\n<\/strong><\/pre>\n
 \u0627\u0644\u0645\u062b\u0627\u0644 2: \u062a\u062d\u0648\u064a\u0644 \u0623\u0639\u0645\u062f\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u0625\u0644\u0649 \u0639\u0627\u0626\u0645\u0629<\/strong><\/span><\/h2>\n
 \u064a\u0648\u0636\u062d \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a \u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0627\u0644\u0645\u0633\u0627\u0639\u062f\u0629<\/strong> \u0648\u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0627\u0644\u0645\u0631\u062a\u062f\u0629<\/strong> \u0645\u0646 \u0633\u0644\u0627\u0633\u0644 \u0625\u0644\u0649 \u0623\u0639\u062f\u0627\u062f \u0639\u0627\u0626\u0645\u0629:<\/span><\/p>\n
 #convert both \"assists\" and \"rebounds\" from strings to floats\n<\/span>df[[' assists<\/span> ', ' rebounds<\/span> ']] = df[[' assists<\/span> ', ' rebounds<\/span> ']]. astype<\/span> (float)\n\n#view column data types\n<\/span>df. dtypes\n\n<\/span>float64 points\nassist float64\nrebounds float64\ndtype:object\n<\/strong><\/pre>\n
 \u0645\u062b\u0627\u0644 3: \u062a\u062d\u0648\u064a\u0644 \u062c\u0645\u064a\u0639 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0625\u0644\u0649 \u0639\u0627\u0626\u0645\u0629<\/strong><\/span><\/h2>\n
 \u064a\u0648\u0636\u062d \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a \u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u062c\u0645\u064a\u0639 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0641\u064a DataFrame \u0625\u0644\u0649 \u0623\u0639\u062f\u0627\u062f \u0639\u0627\u0626\u0645\u0629:<\/span><\/p>\n
 #convert all columns to float\n<\/span>df = df. astype<\/span> (float)\n\n#view column data types\n<\/span>df. dtypes\n\n<\/span>float64 points\nassist float64\nrebounds float64\ndtype:object<\/strong><\/pre>\n
 \u0627\u0644\u0645\u0643\u0627\u0641\u0623\u0629: \u062a\u062d\u0648\u064a\u0644 \u0627\u0644\u0633\u0644\u0633\u0644\u0629 \u0625\u0644\u0649 \u0642\u064a\u0645 \u062a\u0639\u0648\u064a\u0645 \u0648\u0644\u0648\u062d\u0629 NaN<\/strong><\/span><\/h2>\n
 \u064a\u0648\u0636\u062d \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a \u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0627\u0644\u0639\u0645\u0648\u062f \u0627\u0644\u0645\u0633\u0627\u0639\u062f<\/strong> \u0645\u0646 \u0633\u0644\u0633\u0644\u0629 \u0625\u0644\u0649 \u0639\u0627\u0626\u0645\u0629 \u0648\u062d\u0634\u0648 \u0642\u064a\u0645 NaN \u0628\u0627\u0644\u0623\u0635\u0641\u0627\u0631 \u0641\u064a \u0646\u0641\u0633 \u0627\u0644\u0648\u0642\u062a:<\/span><\/p>\n
 #convert \"assists\" from string to float and fill in NaN values with zeros\n<\/span>df[' assists<\/span> '] = df[' assists<\/span> ']. astype<\/span> (float). fillna<\/span> (0)\n\n#view DataFrame\n<\/span>df\n<\/span>\n        points assists rebounds\n0 NaN 5.0 11\n1 12.0 0.0 8\n2 15.0 7.0 10\n3 14.0 9.0 6\n4 19.0 12.0 6<\/strong><\/pre>\n
 \u0645\u0635\u0627\u062f\u0631 \u0625\u0636\u0627\u0641\u064a\u0629<\/strong><\/span><\/h2>\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:<\/p>\n
 \u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0643\u0627\u0626\u0646 \u0625\u0644\u0649 \u0639\u062f\u062f \u0635\u062d\u064a\u062d<\/a>
 \u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0627\u0644\u0639\u0648\u0627\u0645\u0627\u062a \u0625\u0644\u0649 \u0623\u0639\u062f\u0627\u062f \u0635\u062d\u064a\u062d\u0629<\/a>
 Pandas: \u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0623\u0639\u0645\u062f\u0629 \u0645\u0639\u064a\u0646\u0629 \u0625\u0644\u0649 \u0645\u0635\u0641\u0648\u0641\u0629 NumPy<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0637\u0631\u0642 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0644\u062a\u062d\u0648\u064a\u0644 \u0633\u0644\u0633\u0644\u0629 \u0625\u0644\u0649 \u062a\u0639\u0648\u064a\u0645 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649: \u062a\u062d\u0648\u064a\u0644 \u0639\u0645\u0648\u062f \u0648\u0627\u062d\u062f \u0625\u0644\u0649 \u0639\u0645\u0648\u062f \u0639\u0627\u0626\u0645 #convert “assists” column from string to float df[‘ assists ‘] = df[‘ assists ‘]. astype (float) \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0646\u064a\u0629: \u062a\u062d\u0648\u064a\u0644 \u0623\u0639\u0645\u062f\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u0625\u0644\u0649 \u0623\u0639\u0645\u062f\u0629 \u0639\u0627\u0626\u0645\u0629 #convert both “assists” and “rebounds” from strings to floats df[[‘ assists ‘, ‘ […]<\/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 \u0627\u0644\u0633\u0644\u0627\u0633\u0644 \u0625\u0644\u0649 \u0639\u0648\u0627\u0645\u0627\u062a \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u2013 \u0639\u0644\u0645 \u0627\u0644\u0625\u062d\u0635\u0627\u0626\u064a\u0627\u062a<\/title>\n<meta name=\"description\" content=\"\u0634\u0631\u062d \u0628\u0633\u064a\u0637 \u0644\u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0623\u0639\u0645\u062f\u0629 \u0627\u0644\u0633\u0644\u0633\u0644\u0629 \u0641\u064a pandas DataFrame \u0625\u0644\u0649 \u0623\u0639\u0645\u062f\u0629 \u0639\u0627\u0626\u0645\u0629.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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