{"id":4244,"date":"2023-07-12T13:59:04","date_gmt":"2023-07-12T13:59:04","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%a7%d9%95%d8%b7%d8%a7%d8%b1-%d8%a8%d9%8a%d8%a7%d9%86%d8%a7%d8%aa-%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d9%85%d9%86-dict-%d8%a8%d8%b7%d9%88%d9%84-%d9%85%d8%ae%d8%aa%d9%84%d9%81\/"},"modified":"2023-07-12T13:59:04","modified_gmt":"2023-07-12T13:59:04","slug":"%d8%a7%d9%95%d8%b7%d8%a7%d8%b1-%d8%a8%d9%8a%d8%a7%d9%86%d8%a7%d8%aa-%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d9%85%d9%86-dict-%d8%a8%d8%b7%d9%88%d9%84-%d9%85%d8%ae%d8%aa%d9%84%d9%81","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d8%a7%d9%95%d8%b7%d8%a7%d8%b1-%d8%a8%d9%8a%d8%a7%d9%86%d8%a7%d8%aa-%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d9%85%d9%86-dict-%d8%a8%d8%b7%d9%88%d9%84-%d9%85%d8%ae%d8%aa%d9%84%d9%81\/","title":{"rendered":"\u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0642\u0645 \u0628\u0625\u0646\u0634\u0627\u0621 dataframe \u0645\u0646 \u0625\u0645\u0644\u0627\u0621 \u0628\u0623\u0637\u0648\u0627\u0644 \u0645\u062e\u062a\u0644\u0641\u0629"},"content":{"rendered":"

<\/p>\n

\n

\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0627\u0644\u0623\u0633\u0627\u0633\u064a \u0627\u0644\u062a\u0627\u0644\u064a \u0644\u0625\u0646\u0634\u0627\u0621 pandas DataFrame \u0645\u0646 \u0642\u0627\u0645\u0648\u0633 \u0644\u0647 \u0623\u0637\u0648\u0627\u0644 \u0645\u062e\u062a\u0644\u0641\u0629 \u0644\u0625\u062f\u062e\u0627\u0644\u0627\u062a\u0647:<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\n\ndf = pd. DataFrame<\/span> (dict([(key, pd. Series<\/span> (value)) for<\/span> key, value in<\/span> some_dict. items<\/span> ()]))\n<\/strong><\/pre>\n
 \u064a\u0642\u0648\u0645 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0647\u0630\u0627 \u0628\u062a\u062d\u0648\u064a\u0644 \u0642\u0627\u0626\u0645\u0629 \u0635\u0641\u0627\u0626\u0641 \u0627\u0644\u0642\u0627\u0645\u0648\u0633 \u0625\u0644\u0649 \u0642\u0627\u0626\u0645\u0629 \u0633\u0644\u0633\u0644\u0629 \u0627\u0644\u0628\u0627\u0646\u062f\u0627.<\/span><\/p>\n
 \u064a\u062a\u064a\u062d \u0644\u0646\u0627 \u0630\u0644\u0643 \u0625\u0646\u0634\u0627\u0621 DataFrame \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u0648\u0645\u0644\u0621 \u0642\u064a\u0645 NaN \u0644\u0644\u062a\u0623\u0643\u062f \u0645\u0646 \u0623\u0646 \u0643\u0644 \u0639\u0645\u0648\u062f \u0641\u064a DataFrame \u0627\u0644\u0646\u0627\u062a\u062c \u0628\u0646\u0641\u0633 \u0627\u0644\u0637\u0648\u0644.<\/span><\/p>\n
 \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
 \u0645\u062b\u0627\u0644: \u0642\u0645 \u0628\u0625\u0646\u0634\u0627\u0621 Pandas DataFrame \u0645\u0646 \u0625\u0645\u0644\u0627\u0621 \u0628\u0623\u0637\u0648\u0627\u0644 \u0645\u062e\u062a\u0644\u0641\u0629<\/strong><\/span><\/h2>\n
 \u0644\u0646\u0641\u062a\u0631\u0636 \u0623\u0646 \u0644\u062f\u064a\u0646\u0627 \u0627\u0644\u0642\u0627\u0645\u0648\u0633 \u0627\u0644\u062a\u0627\u0644\u064a \u0627\u0644\u0630\u064a \u064a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u0625\u062f\u062e\u0627\u0644\u0627\u062a \u0628\u0623\u0637\u0648\u0627\u0644 \u0645\u062e\u062a\u0644\u0641\u0629:<\/span><\/p>\n
 #create dictionary whose entries have different lengths\n<\/span>some_dict = dict(A=[2, 5, 5, 7, 8], B=[9, 3], C=[4, 4, 2])\n\n#view dictionary\n<\/span>print<\/span> (some_dict)\n\n{'A': [2, 5, 5, 7, 8], 'B': [9, 3], 'C': [4, 4, 2]}\n<\/strong><\/pre>\n
 \u0625\u0630\u0627 \u062d\u0627\u0648\u0644\u0646\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 from_dict()<\/strong> \u0644\u062a\u062d\u0648\u064a\u0644 \u0647\u0630\u0627 \u0627\u0644\u0642\u0627\u0645\u0648\u0633 \u0625\u0644\u0649 \u0625\u0637\u0627\u0631 \u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0628\u0627\u0646\u062f\u0627\u060c \u0641\u0633\u0648\u0641 \u0646\u062a\u0644\u0642\u0649 \u062e\u0637\u0623:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd<\/span>\n\n#attempt to create pandas DataFrame from dictionary<\/span>\ndf = pd. DataFrame<\/span> . from_dict<\/span> (some_dict)\n\nValueError<\/span> : All arrays must be of the same length\n<\/strong><\/pre>\n
 \u0646\u062a\u0644\u0642\u0649 \u062e\u0637\u0623 \u064a\u062e\u0628\u0631\u0646\u0627 \u0623\u0646 \u062c\u0645\u064a\u0639 \u0627\u0644\u0645\u0635\u0641\u0648\u0641\u0627\u062a \u0641\u064a \u0627\u0644\u0642\u0627\u0645\u0648\u0633 \u064a\u062c\u0628 \u0623\u0646 \u062a\u0643\u0648\u0646 \u0628\u0646\u0641\u0633 \u0627\u0644\u0637\u0648\u0644.<\/span><\/p>\n
 \u0644\u0644\u062a\u063a\u0644\u0628 \u0639\u0644\u0649 \u0647\u0630\u0627 \u0627\u0644\u062e\u0637\u0623\u060c \u064a\u0645\u0643\u0646\u0646\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a \u0644\u062a\u062d\u0648\u064a\u0644 \u0627\u0644\u0642\u0627\u0645\u0648\u0633 \u0625\u0644\u0649 DataFrame:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd<\/span>\n\n#create pandas DataFrame from dictionary<\/span>\ndf = pd. DataFrame<\/span> (dict([(key, pd. Series<\/span> (value)) for<\/span> key, value in<\/span> some_dict. items<\/span> ()]))\n\n#view DataFrame<\/span>\nprint<\/span> (df)\n\n   ABC\n0 2 9.0 4.0\n1 5 3.0 4.0\n2 5 NaN 2.0\n3 7 NaN NaN\n4 8 NaN NaN\n<\/strong><\/pre>\n
 \u0644\u0627\u062d\u0638 \u0623\u0646\u0646\u0627 \u0642\u0627\u062f\u0631\u0648\u0646 \u0639\u0644\u0649 \u0625\u0646\u0634\u0627\u0621 DataFrame \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u0628\u0646\u062c\u0627\u062d \u0648\u064a\u062a\u0645 \u062a\u0639\u0628\u0626\u0629 \u0642\u064a\u0645 NaN \u0644\u0644\u062a\u0623\u0643\u062f \u0645\u0646 \u0623\u0646 \u0643\u0644 \u0639\u0645\u0648\u062f \u0628\u0646\u0641\u0633 \u0627\u0644\u0637\u0648\u0644.<\/span><\/p>\n
 \u0625\u0630\u0627 \u0643\u0646\u062a \u062a\u0631\u064a\u062f \u0627\u0633\u062a\u0628\u062f\u0627\u0644 \u0642\u064a\u0645 NaN \u0647\u0630\u0647 \u0628\u0642\u064a\u0645 \u0623\u062e\u0631\u0649 (\u0645\u062b\u0644 \u0627\u0644\u0635\u0641\u0631)\u060c \u0641\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0648\u0638\u064a\u0641\u0629 \u0627\u0644\u0627\u0633\u062a\u0628\u062f\u0627\u0644 ()<\/strong> \u0639\u0644\u0649 \u0627\u0644\u0646\u062d\u0648 \u0627\u0644\u062a\u0627\u0644\u064a:<\/span><\/p>\n
 #replace all NaNs with zeros\ndf. replace<\/span> (np. nan<\/span> , 0, inplace= True<\/span> )\n<\/span>\n#view updated DataFrame\nprint<\/span> (df)\n\n   ABC\n0 2 9.0 4.0\n1 5 3.0 4.0\n2 5 0.0 2.0\n3 7 0.0 0.0\n4 8 0.0 0.0\n<\/span><\/span><\/strong><\/pre>\n
 \u0644\u0627\u062d\u0638 \u0623\u0646\u0647 \u062a\u0645 \u0627\u0633\u062a\u0628\u062f\u0627\u0644 \u0643\u0644 \u0642\u064a\u0645\u0629 NaN \u0628\u0635\u0641\u0631.<\/span><\/p>\n
 \u0644\u0627 \u062a\u062a\u0631\u062f\u062f \u0641\u064a \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0648\u0638\u064a\u0641\u0629 \u0627\u0644\u0627\u0633\u062a\u0628\u062f\u0627\u0644 ()<\/strong> \u0644\u0627\u0633\u062a\u0628\u062f\u0627\u0644 \u0642\u064a\u0645 NaN \u0628\u0623\u064a \u0642\u064a\u0645\u0629 \u062a\u0631\u064a\u062f\u0647\u0627.<\/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
 \u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u0648\u064a\u0644 DataFrame \u0625\u0644\u0649 \u0642\u0627\u0645\u0648\u0633<\/a>
 \u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u0625\u0639\u0627\u062f\u0629 \u062a\u0633\u0645\u064a\u0629 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0642\u0627\u0645\u0648\u0633<\/a>
 \u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u0645\u0644\u0621 \u0642\u064a\u0645 NaN \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0642\u0627\u0645\u0648\u0633<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0627\u0644\u0623\u0633\u0627\u0633\u064a \u0627\u0644\u062a\u0627\u0644\u064a \u0644\u0625\u0646\u0634\u0627\u0621 pandas DataFrame \u0645\u0646 \u0642\u0627\u0645\u0648\u0633 \u0644\u0647 \u0623\u0637\u0648\u0627\u0644 \u0645\u062e\u062a\u0644\u0641\u0629 \u0644\u0625\u062f\u062e\u0627\u0644\u0627\u062a\u0647: import pandas as pd df = pd. DataFrame (dict([(key, pd. Series (value)) for key, value in some_dict. items ()])) \u064a\u0642\u0648\u0645 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0647\u0630\u0627 \u0628\u062a\u062d\u0648\u064a\u0644 \u0642\u0627\u0626\u0645\u0629 \u0635\u0641\u0627\u0626\u0641 \u0627\u0644\u0642\u0627\u0645\u0648\u0633 \u0625\u0644\u0649 \u0642\u0627\u0626\u0645\u0629 \u0633\u0644\u0633\u0644\u0629 \u0627\u0644\u0628\u0627\u0646\u062f\u0627. \u064a\u062a\u064a\u062d \u0644\u0646\u0627 \u0630\u0644\u0643 \u0625\u0646\u0634\u0627\u0621 DataFrame \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u0648\u0645\u0644\u0621 \u0642\u064a\u0645 NaN […]<\/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\u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0642\u0645 \u0628\u0625\u0646\u0634\u0627\u0621 DataFrame \u0645\u0646 \u0625\u0645\u0644\u0627\u0621 \u0628\u0623\u0637\u0648\u0627\u0644 \u0645\u062e\u062a\u0644\u0641\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 \u0625\u0646\u0634\u0627\u0621 Pandas DataFrame \u0645\u0646 \u0642\u0627\u0645\u0648\u0633 \u062a\u0643\u0648\u0646 \u0641\u064a\u0647 \u0627\u0644\u0625\u062f\u062e\u0627\u0644\u0627\u062a \u0630\u0627\u062a \u0623\u0637\u0648\u0627\u0644 \u0645\u062e\u062a\u0644\u0641\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\u0655\u0637\u0627\u0631-\u0628\u064a\u0627\u0646\u0627\u062a-\u0627\u0644\u0628\u0627\u0646\u062f\u0627-\u0645\u0646-dict-\u0628\u0637\u0648\u0644-\u0645\u062e\u062a\u0644\u0641\/\" \/>\n<meta property=\"og:locale\" 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