{"id":4155,"date":"2023-07-13T05:34:42","date_gmt":"2023-07-13T05:34:42","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d9%85%d9%82%d8%a7%d8%b1%d9%86%d8%a9-%d8%a7%d9%84%d8%aa%d9%88%d8%a7%d8%b1%d9%8a%d8%ae\/"},"modified":"2023-07-13T05:34:42","modified_gmt":"2023-07-13T05:34:42","slug":"%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d9%85%d9%82%d8%a7%d8%b1%d9%86%d8%a9-%d8%a7%d9%84%d8%aa%d9%88%d8%a7%d8%b1%d9%8a%d8%ae","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d9%85%d9%82%d8%a7%d8%b1%d9%86%d8%a9-%d8%a7%d9%84%d8%aa%d9%88%d8%a7%d8%b1%d9%8a%d8%ae\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u0645\u0642\u0627\u0631\u0646\u0629 \u0627\u0644\u062a\u0648\u0627\u0631\u064a\u062e \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0645\u0639 \u0627\u0644\u0623\u0645\u062b\u0644\u0629"},"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\u0645\u0642\u0627\u0631\u0646\u0629 \u0627\u0644\u062a\u0648\u0627\u0631\u064a\u062e \u0628\u064a\u0646 \u0639\u0645\u0648\u062f\u064a\u0646 \u0641\u064a pandas DataFrame:<\/span><\/p>\n

\u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649: \u0625\u0636\u0627\u0641\u0629 \u0639\u0645\u0648\u062f \u062c\u062f\u064a\u062f \u0625\u0644\u0649 DataFrame \u0627\u0644\u0630\u064a \u064a\u0639\u0631\u0636 \u0645\u0642\u0627\u0631\u0646\u0629 \u0627\u0644\u062a\u0627\u0631\u064a\u062e<\/strong><\/span><\/p>\n

 df[' met_due_date<\/span> '] = df[' comp_date<\/span> '] <<\/span> df[' due_date<\/span> ']\n<\/strong><\/pre>\n
 \u064a\u0636\u064a\u0641 \u0647\u0630\u0627 \u0627\u0644\u0645\u062b\u0627\u0644 \u062a\u062d\u062f\u064a\u062f\u064b\u0627 \u0639\u0645\u0648\u062f\u064b\u0627 \u062c\u062f\u064a\u062f\u064b\u0627 \u064a\u0633\u0645\u0649 met_due_date<\/strong> \u0648\u0627\u0644\u0630\u064a \u064a\u0642\u0648\u0645 \u0628\u0625\u0631\u062c\u0627\u0639 True \u0623\u0648 False \u0627\u0639\u062a\u0645\u0627\u062f\u064b\u0627 \u0639\u0644\u0649 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646 \u0627\u0644\u062a\u0627\u0631\u064a\u062e \u0627\u0644\u0645\u0648\u062c\u0648\u062f \u0641\u064a \u0639\u0645\u0648\u062f comp_date<\/strong> \u064a\u0633\u0628\u0642 \u0627\u0644\u062a\u0627\u0631\u064a\u062e \u0627\u0644\u0645\u0648\u062c\u0648\u062f \u0641\u064a \u0639\u0645\u0648\u062f Due_date<\/strong> .<\/span><\/p>\n
 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0646\u064a\u0629: \u062a\u0635\u0641\u064a\u0629 DataFrame \u0628\u0646\u0627\u0621\u064b \u0639\u0644\u0649 \u0645\u0642\u0627\u0631\u0646\u0629 \u0627\u0644\u062a\u0627\u0631\u064a\u062e<\/strong><\/span><\/p>\n
 df_met_due_date = df[df[' comp_date<\/span> '] <<\/span> df[' due_date<\/span> ']]<\/strong><\/pre>\n
 \u064a\u0642\u0648\u0645 \u0647\u0630\u0627 \u0627\u0644\u0645\u062b\u0627\u0644 \u0628\u0627\u0644\u062a\u062d\u062f\u064a\u062f \u0628\u062a\u0635\u0641\u064a\u0629 DataFrame \u0644\u0644\u0627\u062d\u062a\u0641\u0627\u0638 \u0641\u0642\u0637 \u0628\u0627\u0644\u0635\u0641\u0648\u0641 \u0627\u0644\u062a\u064a \u064a\u0643\u0648\u0646 \u062a\u0627\u0631\u064a\u062e\u0647\u0627 \u0641\u064a \u0639\u0645\u0648\u062f comp_date<\/strong> \u0623\u0642\u062f\u0645 \u0645\u0646 \u0627\u0644\u062a\u0627\u0631\u064a\u062e \u0627\u0644\u0645\u0648\u062c\u0648\u062f \u0641\u064a \u0639\u0645\u0648\u062f Due_date<\/strong> .<\/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 \u0645\u0646 \u0647\u0630\u0647 \u0627\u0644\u0637\u0631\u0642 \u0639\u0645\u0644\u064a\u064b\u0627 \u0645\u0639 \u0648\u062d\u062f\u0627\u062a \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\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' task<\/span> ': ['A', 'B', 'C', 'D'],\n                   ' due_date<\/span> ': ['4-15-2022', '5-19-2022', '6-14-2022', '10-24-2022'],\n                   ' comp_date<\/span> ': ['4-14-2022', '5-23-2022', '6-24-2022', '10-7-2022']})\n\n#convert due_date and comp_date columns to datetime format\n<\/span>df[[' due_date<\/span> ', ' comp_date<\/span> ']] = df[[' due_date<\/span> ', ' comp_date<\/span> ']]. apply<\/span> (pd. to_datetime<\/span> )\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n  task due_date comp_date\n0 A 2022-04-15 2022-04-14\n1 B 2022-05-19 2022-05-23\n2 C 2022-06-14 2022-06-24\n3 D 2022-10-24 2022-10-07<\/span><\/span><\/strong><\/pre>\n
 \u0627\u0644\u0645\u062b\u0627\u0644 1: \u0623\u0636\u0641 \u0639\u0645\u0648\u062f\u064b\u0627 \u062c\u062f\u064a\u062f\u064b\u0627 \u0625\u0644\u0649 DataFrame \u0627\u0644\u0630\u064a \u064a\u0639\u0631\u0636 \u0645\u0642\u0627\u0631\u0646\u0629 \u0627\u0644\u062a\u0627\u0631\u064a\u062e<\/strong><\/span><\/h2>\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 \u0625\u0636\u0627\u0641\u0629 \u0639\u0645\u0648\u062f \u062c\u062f\u064a\u062f \u064a\u0633\u0645\u0649 met_due_date<\/strong> \u0627\u0644\u0630\u064a \u064a\u0642\u0648\u0645 \u0628\u0625\u0631\u062c\u0627\u0639 True \u0623\u0648 False \u0628\u0646\u0627\u0621\u064b \u0639\u0644\u0649 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646 \u0627\u0644\u062a\u0627\u0631\u064a\u062e \u0627\u0644\u0645\u0648\u062c\u0648\u062f \u0641\u064a \u0639\u0645\u0648\u062f comp_date<\/strong> \u064a\u0633\u0628\u0642 \u0627\u0644\u062a\u0627\u0631\u064a\u062e \u0627\u0644\u0645\u0648\u062c\u0648\u062f \u0641\u064a \u0627\u0644\u0639\u0645\u0648\u062f Due_date<\/strong> .<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#create new column that shows if completion date is before due date\n<\/span>df[' met_due_date<\/span> '] = df[' comp_date<\/span> '] <<\/span> df[' due_date<\/span> ']\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n  task due_date comp_date met_due_date\n0 A 2022-04-15 2022-04-14 True\n1 B 2022-05-19 2022-05-23 False\n2 C 2022-06-14 2022-06-24 False\n3 D 2022-10-24 2022-10-07 True\n<\/span><\/span><\/strong><\/pre>\n
 \u0628\u0627\u0644\u0646\u0633\u0628\u0629 \u0644\u0643\u0644 \u0635\u0641 \u0641\u064a DataFrame\u060c \u064a\u0634\u064a\u0631 \u0639\u0645\u0648\u062f met_due_date<\/strong> \u0627\u0644\u062c\u062f\u064a\u062f \u0625\u0644\u0649 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646 \u0627\u0644\u062a\u0627\u0631\u064a\u062e \u0627\u0644\u0645\u0648\u062c\u0648\u062f \u0641\u064a \u0639\u0645\u0648\u062f comp_date<\/strong> \u064a\u0633\u0628\u0642 \u0627\u0644\u062a\u0627\u0631\u064a\u062e \u0627\u0644\u0645\u0648\u062c\u0648\u062f \u0641\u064a \u0639\u0645\u0648\u062f Due_date<\/strong> .<\/span><\/p>\n
 \u0639\u0644\u0649 \u0633\u0628\u064a\u0644 \u0627\u0644\u0645\u062b\u0627\u0644\u060c \u064a\u0645\u0643\u0646\u0646\u0627 \u0623\u0646 \u0646\u0631\u0649 \u0623\u0646 \u0627\u0644\u0645\u0647\u0645\u0629 \u0623 \u0643\u0627\u0646 \u0644\u0647\u0627 \u062a\u0627\u0631\u064a\u062e \u062a\u0633\u0644\u064a\u0645 \u0647\u0648 15\/04\/2022 \u0648\u062a\u0627\u0631\u064a\u062e \u0625\u0643\u0645\u0627\u0644\u0647\u0627 \u0647\u0648 14\/04\/2022.<\/span><\/p>\n
 \u0648\u0628\u0645\u0627 \u0623\u0646 \u062a\u0627\u0631\u064a\u062e \u0627\u0644\u0625\u0643\u0645\u0627\u0644 \u0643\u0627\u0646 \u0642\u0628\u0644 \u062a\u0627\u0631\u064a\u062e \u0627\u0644\u0627\u0633\u062a\u062d\u0642\u0627\u0642\u060c \u0641\u0625\u0646 \u0642\u064a\u0645\u0629 \u0627\u0644\u0639\u0645\u0648\u062f met_due_date<\/strong> \u0647\u064a True.<\/span><\/p>\n
 \u0627\u0644\u0645\u062b\u0627\u0644 2: \u0642\u0645 \u0628\u062a\u0635\u0641\u064a\u0629 DataFrame \u0628\u0646\u0627\u0621\u064b \u0639\u0644\u0649 \u0645\u0642\u0627\u0631\u0646\u0629 \u0627\u0644\u062a\u0627\u0631\u064a\u062e<\/strong><\/span><\/h2>\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 \u062a\u0635\u0641\u064a\u0629 DataFrame \u0644\u064a\u062d\u062a\u0648\u064a \u0641\u0642\u0637 \u0639\u0644\u0649 \u0627\u0644\u0635\u0641\u0648\u0641 \u0627\u0644\u062a\u064a \u064a\u0643\u0648\u0646 \u062a\u0627\u0631\u064a\u062e\u0647\u0627 \u0641\u064a \u0627\u0644\u0639\u0645\u0648\u062f comp_date<\/strong> \u0642\u0628\u0644 \u0627\u0644\u062a\u0627\u0631\u064a\u062e \u0627\u0644\u0645\u0648\u062c\u0648\u062f \u0641\u064a \u0627\u0644\u0639\u0645\u0648\u062f Due_date<\/strong> .<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#filter for rows where completion date is before due date\n<\/span>df_met_due_date = df[df[' comp_date<\/span> '] <<\/span> df[' due_date<\/span> ']]\n\n#view results\n<\/span>print<\/span> (df_met_due_date)\n\n  task due_date comp_date\n0 A 2022-04-15 2022-04-14\n3 D 2022-10-24 2022-10-07<\/span><\/span><\/strong><\/pre>\n
 \u062a\u0645\u062a \u062a\u0635\u0641\u064a\u0629 DataFrame \u0627\u0644\u062c\u062f\u064a\u062f \u0644\u064a\u062d\u062a\u0648\u064a \u0641\u0642\u0637 \u0639\u0644\u0649 \u0627\u0644\u0635\u0641\u0648\u0641 \u0627\u0644\u062a\u064a \u064a\u0643\u0648\u0646 \u062a\u0627\u0631\u064a\u062e\u0647\u0627 \u0641\u064a \u0627\u0644\u0639\u0645\u0648\u062f comp_date<\/strong> \u0642\u0628\u0644 \u0627\u0644\u062a\u0627\u0631\u064a\u062e \u0627\u0644\u0645\u0648\u062c\u0648\u062f \u0641\u064a \u0627\u0644\u0639\u0645\u0648\u062f Due_date<\/strong> .<\/span><\/p>\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\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
 \u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 \u0646\u0637\u0627\u0642 \u0632\u0645\u0646\u064a \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 \u0627\u0644\u0637\u0627\u0628\u0639 \u0627\u0644\u0632\u0645\u0646\u064a \u0625\u0644\u0649 \u0627\u0644\u062a\u0627\u0631\u064a\u062e\/\u0627\u0644\u0648\u0642\u062a \u0641\u064a Pandas<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0627\u0644\u0641\u0631\u0642 \u0628\u064a\u0646 \u062a\u0627\u0631\u064a\u062e\u064a\u0646 \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 \u0627\u0644\u0637\u0631\u0642 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0644\u0645\u0642\u0627\u0631\u0646\u0629 \u0627\u0644\u062a\u0648\u0627\u0631\u064a\u062e \u0628\u064a\u0646 \u0639\u0645\u0648\u062f\u064a\u0646 \u0641\u064a pandas DataFrame: \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649: \u0625\u0636\u0627\u0641\u0629 \u0639\u0645\u0648\u062f \u062c\u062f\u064a\u062f \u0625\u0644\u0649 DataFrame \u0627\u0644\u0630\u064a \u064a\u0639\u0631\u0636 \u0645\u0642\u0627\u0631\u0646\u0629 \u0627\u0644\u062a\u0627\u0631\u064a\u062e df[‘ met_due_date ‘] = df[‘ comp_date ‘] < df[‘ due_date ‘] \u064a\u0636\u064a\u0641 \u0647\u0630\u0627 \u0627\u0644\u0645\u062b\u0627\u0644 \u062a\u062d\u062f\u064a\u062f\u064b\u0627 \u0639\u0645\u0648\u062f\u064b\u0627 \u062c\u062f\u064a\u062f\u064b\u0627 \u064a\u0633\u0645\u0649 met_due_date \u0648\u0627\u0644\u0630\u064a \u064a\u0642\u0648\u0645 \u0628\u0625\u0631\u062c\u0627\u0639 True \u0623\u0648 False \u0627\u0639\u062a\u0645\u0627\u062f\u064b\u0627 \u0639\u0644\u0649 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646 \u0627\u0644\u062a\u0627\u0631\u064a\u062e \u0627\u0644\u0645\u0648\u062c\u0648\u062f \u0641\u064a […]<\/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 \u0645\u0642\u0627\u0631\u0646\u0629 \u0627\u0644\u062a\u0648\u0627\u0631\u064a\u062e \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627 (\u0645\u0639 \u0623\u0645\u062b\u0644\u0629) - 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