{"id":4208,"date":"2023-07-12T20:21:46","date_gmt":"2023-07-12T20:21:46","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%a7%d9%95%d8%b7%d8%a7%d8%b1-%d8%a7%d9%84%d8%a8%d9%8a%d8%a7%d9%86%d8%a7%d8%aa-%d8%a7%d9%84%d9%85%d8%aa%d8%af%d8%a7%d8%ae%d9%84%d8%a9\/"},"modified":"2023-07-12T20:21:46","modified_gmt":"2023-07-12T20:21:46","slug":"%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%a7%d9%95%d8%b7%d8%a7%d8%b1-%d8%a7%d9%84%d8%a8%d9%8a%d8%a7%d9%86%d8%a7%d8%aa-%d8%a7%d9%84%d9%85%d8%aa%d8%af%d8%a7%d8%ae%d9%84%d8%a9","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%a7%d9%95%d8%b7%d8%a7%d8%b1-%d8%a7%d9%84%d8%a8%d9%8a%d8%a7%d9%86%d8%a7%d8%aa-%d8%a7%d9%84%d9%85%d8%aa%d8%af%d8%a7%d8%ae%d9%84%d8%a9\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 dataframe \u0645\u062a\u062f\u0627\u062e\u0644 \u0641\u064a pandas (\u0645\u0639 \u0645\u062b\u0627\u0644)"},"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\u062a\u0627\u0644\u064a \u0644\u062a\u062f\u0627\u062e\u0644 DataFrames \u0645\u062a\u0639\u062f\u062f\u0629 \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u062f\u0627\u062e\u0644 DataFrame \u0622\u062e\u0631:<\/span><\/p>\n

 df_all = pd. DataFrame<\/span> ({' idx<\/span> ':[1,2,3],' dfs<\/span> ':[df1,df2,df3]})\n<\/strong><\/pre>\n
 \u064a\u0642\u0648\u0645 \u0647\u0630\u0627 \u0627\u0644\u0645\u062b\u0627\u0644 \u062a\u062d\u062f\u064a\u062f\u064b\u0627 \u0628\u062a\u062c\u0645\u064a\u0639 \u062b\u0644\u0627\u062b\u0629 DataFrames ( df1<\/strong> \u060c df2<\/strong> \u060c df3<\/strong> ) \u0641\u064a DataFrame \u0623\u0643\u0628\u0631 \u064a\u0633\u0645\u0649 df_all<\/strong> .<\/span><\/p>\n
 \u064a\u0645\u0643\u0646\u0643 \u0628\u0639\u062f \u0630\u0644\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\u0644\u0648\u0635\u0648\u0644 \u0625\u0644\u0649 \u0623\u062d\u062f DataFrames \u0627\u0644\u0645\u062a\u062f\u0627\u062e\u0644\u0629 \u0627\u0644\u0645\u062d\u062f\u062f\u0629:<\/span><\/p>\n
 #display first nested DataFrame\n<\/span>print<\/span> (df_all[' dfs<\/span> ']. iloc<\/span> [0])<\/strong><\/pre>\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: \u0625\u0646\u0634\u0627\u0621 DataFrame \u0645\u062a\u062f\u0627\u062e\u0644 \u0641\u064a Pandas<\/strong><\/span><\/h2>\n
 \u0644\u0646\u0641\u062a\u0631\u0636 \u0623\u0646 \u0644\u062f\u064a\u0646\u0627 \u062b\u0644\u0627\u062b\u0629 \u0625\u0637\u0627\u0631\u0627\u062a \u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0628\u0627\u0646\u062f\u0627:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#create first DataFrame\n<\/span>df1 = pd. DataFrame<\/span> ({' item<\/span> ': ['A', 'B', 'C', 'D', 'E'],\n                    ' sales<\/span> ': [18, 22, 19, 14, 30]})\n\nprint<\/span> (df1)\n\n  item sales\n0 to 18\n1 B 22\n2 C 19\n3 D 14\n4 E 30\n\n#create second DataFrame\n<\/span>df2 = pd. DataFrame<\/span> ({' item<\/span> ': ['F', 'G', 'H', 'I', 'J'],\n                    ' sales<\/span> ': [10, 12, 13, 13, 19]})\n\nprint<\/span> (df2)\n\n  item sales\n0 F 10\n1 G 12\n2:13 a.m.\n3 I 13\n4 Day 19\n\n#create third DataFrame\n<\/span>df3 = pd. DataFrame<\/span> ({' item<\/span> ': ['K', 'L', 'M', 'N', 'O'],\n                    ' sales<\/span> ': [41, 22, 28, 25, 18]})\n\nprint<\/span> (df3)\n\n  item sales\n0 K 41\n1 L 22\n2 M 28\n3 N 25\n4 O 18\n<\/strong><\/pre>\n
 \u0644\u0646\u0641\u062a\u0631\u0636 \u0627\u0644\u0622\u0646 \u0623\u0646\u0646\u0627 \u0646\u0631\u064a\u062f \u0625\u0646\u0634\u0627\u0621 DataFrame \u0643\u0628\u064a\u0631 \u0644\u0627\u0633\u062a\u064a\u0639\u0627\u0628 \u0625\u0637\u0627\u0631\u0627\u062a \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u062b\u0644\u0627\u062b\u0629 \u0647\u0630\u0647.<\/span><\/p>\n
 \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\u0644\u0642\u064a\u0627\u0645 \u0628\u0630\u0644\u0643:<\/span><\/p>\n
 df_all = pd. DataFrame<\/span> ({' idx<\/span> ':[1,2,3],' dfs<\/span> ':[df1,df2,df3]})\n<\/strong><\/pre>\n
 \u064a\u0645\u0643\u0646\u0646\u0627 \u0628\u0639\u062f \u0630\u0644\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0648\u0638\u064a\u0641\u0629 pandas iloc<\/strong> \u0644\u0644\u0648\u0635\u0648\u0644 \u0625\u0644\u0649 DataFrames \u0645\u062a\u062f\u0627\u062e\u0644\u0629 \u0645\u062d\u062f\u062f\u0629.<\/span><\/p>\n
 \u0639\u0644\u0649 \u0633\u0628\u064a\u0644 \u0627\u0644\u0645\u062b\u0627\u0644\u060c \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\u0644\u0648\u0635\u0648\u0644 \u0625\u0644\u0649 DataFrame \u0627\u0644\u0645\u062a\u062f\u0627\u062e\u0644 \u0627\u0644\u0623\u0648\u0644:<\/span><\/p>\n
 #display first nested DataFrame\n<\/span>print<\/span> (df_all[' dfs<\/span> ']. iloc<\/span> [0])\n\n  item sales\n0 to 18\n1 B 22\n2 C 19\n3 D 14\n4 E 30\n<\/strong><\/pre>\n
 \u0623\u0648 \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\u0644\u0648\u0635\u0648\u0644 \u0625\u0644\u0649 DataFrame \u0627\u0644\u0645\u062a\u062f\u0627\u062e\u0644 \u0627\u0644\u062b\u0627\u0646\u064a:<\/span><\/p>\n
 #display second nested DataFrame\n<\/span>print<\/span> (df_all[' dfs<\/span> ']. iloc<\/span> [1])\n\n  item sales\n0 F 10\n1 G 12\n2:13 a.m.\n3 I 13\n4 Day 19<\/strong><\/pre>\n
 \u0648\u0645\u0627 \u0625\u0644\u0649 \u0630\u0644\u0643 \u0648\u0647\u0644\u0645 \u062c\u0631\u0627.<\/span><\/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 \u0623\u062f\u0627\u0621 \u0627\u0644\u0648\u0638\u0627\u0626\u0641 \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\u0641\u0647\u0631\u0633 \u0625\u0644\u0649 \u0639\u0645\u0648\u062f \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u0625\u0639\u0627\u062f\u0629 \u062a\u0633\u0645\u064a\u0629 \u0627\u0644\u0641\u0647\u0631\u0633 \u0641\u064a Pandas<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u062a\u0639\u064a\u064a\u0646 \u0627\u0644\u0639\u0645\u0648\u062f \u0643\u0641\u0647\u0631\u0633 \u0641\u064a Pandas<\/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\u062a\u0627\u0644\u064a \u0644\u062a\u062f\u0627\u062e\u0644 DataFrames \u0645\u062a\u0639\u062f\u062f\u0629 \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u062f\u0627\u062e\u0644 DataFrame \u0622\u062e\u0631: df_all = pd. DataFrame ({‘ idx ‘:[1,2,3],’ dfs ‘:[df1,df2,df3]}) \u064a\u0642\u0648\u0645 \u0647\u0630\u0627 \u0627\u0644\u0645\u062b\u0627\u0644 \u062a\u062d\u062f\u064a\u062f\u064b\u0627 \u0628\u062a\u062c\u0645\u064a\u0639 \u062b\u0644\u0627\u062b\u0629 DataFrames ( df1 \u060c df2 \u060c df3 ) \u0641\u064a DataFrame \u0623\u0643\u0628\u0631 \u064a\u0633\u0645\u0649 df_all . \u064a\u0645\u0643\u0646\u0643 \u0628\u0639\u062f \u0630\u0644\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\u0644\u0648\u0635\u0648\u0644 \u0625\u0644\u0649 \u0623\u062d\u062f DataFrames \u0627\u0644\u0645\u062a\u062f\u0627\u062e\u0644\u0629 \u0627\u0644\u0645\u062d\u062f\u062f\u0629: #display […]<\/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 \u0625\u0646\u0634\u0627\u0621 DataFrame \u0645\u062a\u062f\u0627\u062e\u0644 \u0641\u064a Pandas (\u0645\u0639 \u0645\u062b\u0627\u0644) - 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 DataFrame \u0645\u062a\u062f\u0627\u062e\u0644 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u0648\u0643\u064a\u0641\u064a\u0629 \u0627\u0644\u0648\u0635\u0648\u0644 \u0625\u0644\u0649 DataFrames \u0627\u0644\u062a\u064a \u064a\u062d\u062a\u0648\u064a \u0639\u0644\u064a\u0647\u0627\u060c \u0628\u0645\u0627 \u0641\u064a \u0630\u0644\u0643 \u0645\u062b\u0627\u0644.\" \/>\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-\u0627\u0655\u0637\u0627\u0631-\u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a-\u0627\u0644\u0645\u062a\u062f\u0627\u062e\u0644\u0629\/\" \/>\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 \u0625\u0646\u0634\u0627\u0621 DataFrame \u0645\u062a\u062f\u0627\u062e\u0644 \u0641\u064a Pandas (\u0645\u0639 \u0645\u062b\u0627\u0644) - Statorials\" \/>\n<meta property=\"og: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 DataFrame \u0645\u062a\u062f\u0627\u062e\u0644 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u0648\u0643\u064a\u0641\u064a\u0629 \u0627\u0644\u0648\u0635\u0648\u0644 \u0625\u0644\u0649 DataFrames \u0627\u0644\u062a\u064a \u064a\u062d\u062a\u0648\u064a \u0639\u0644\u064a\u0647\u0627\u060c \u0628\u0645\u0627 \u0641\u064a \u0630\u0644\u0643 \u0645\u062b\u0627\u0644.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ar\/\u0627\u0644\u0628\u0627\u0646\u062f\u0627-\u0627\u0655\u0637\u0627\u0631-\u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a-\u0627\u0644\u0645\u062a\u062f\u0627\u062e\u0644\u0629\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-12T20:21:46+00:00\" \/>\n<meta name=\"author\" content=\"\u062f\u0643\u062a\u0648\u0631 \u0628\u0646\u064a\u0627\u0645\u064a\u0646 \u0623\u0646\u062f\u0631\u0633\u0648\u0646\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" 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