{"id":2827,"date":"2023-07-20T12:39:11","date_gmt":"2023-07-20T12:39:11","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%aa%d9%88%d9%84%d8%af-%d8%a8%d9%8a%d8%a7%d9%86%d8%a7%d8%aa-%d8%b9%d8%b4%d9%88%d8%a7%d9%8a%d9%94%d9%8a%d8%a9\/"},"modified":"2023-07-20T12:39:11","modified_gmt":"2023-07-20T12:39:11","slug":"%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%aa%d9%88%d9%84%d8%af-%d8%a8%d9%8a%d8%a7%d9%86%d8%a7%d8%aa-%d8%b9%d8%b4%d9%88%d8%a7%d9%8a%d9%94%d9%8a%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%aa%d9%88%d9%84%d8%af-%d8%a8%d9%8a%d8%a7%d9%86%d8%a7%d8%aa-%d8%b9%d8%b4%d9%88%d8%a7%d9%8a%d9%94%d9%8a%d8%a9\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 pandas dataframe \u0628\u0628\u064a\u0627\u0646\u0627\u062a \u0639\u0634\u0648\u0627\u0626\u064a\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\u0645\u0644\u0648\u0621 \u0628\u0623\u0639\u062f\u0627\u062f \u0635\u062d\u064a\u062d\u0629 \u0639\u0634\u0648\u0627\u0626\u064a\u0629:<\/span><\/p>\n

 df = pd. DataFrame<\/span> ( np.random.randint<\/span> ( 0,100<\/span><\/span> ,size=( 10,3<\/span> )) ,<\/span> columns=list( '<\/span> ABC<\/span> '))\n<\/strong><\/pre>\n
 \u064a\u0646\u0634\u0626 \u0647\u0630\u0627 \u0627\u0644\u0645\u062b\u0627\u0644 \u0628\u0627\u0644\u062a\u062d\u062f\u064a\u062f DataFrame \u0645\u0643\u0648\u0646\u064b\u0627 \u0645\u0646 10<\/strong> \u0635\u0641\u0648\u0641 \u0648 3<\/strong> \u0623\u0639\u0645\u062f\u0629 \u062d\u064a\u062b \u062a\u0643\u0648\u0646 \u0643\u0644 \u0642\u064a\u0645\u0629 \u0641\u064a DataFrame \u0639\u0628\u0627\u0631\u0629 \u0639\u0646 \u0639\u062f\u062f \u0635\u062d\u064a\u062d \u0639\u0634\u0648\u0627\u0626\u064a \u0628\u064a\u0646 0<\/strong> \u0648 100<\/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 \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 1: \u0625\u0646\u0634\u0627\u0621 Pandas DataFrame \u0628\u0628\u064a\u0627\u0646\u0627\u062a \u0639\u0634\u0648\u0627\u0626\u064a\u0629<\/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 \u0625\u0646\u0634\u0627\u0621 DataFrame \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u0645\u0639 10 \u0635\u0641\u0648\u0641 \u0648 3 \u0623\u0639\u0645\u062f\u0629 \u062d\u064a\u062b \u0643\u0644 \u0642\u064a\u0645\u0629 \u0641\u064a DataFrame \u0639\u0628\u0627\u0631\u0629 \u0639\u0646 \u0639\u062f\u062f \u0635\u062d\u064a\u062d \u0639\u0634\u0648\u0627\u0626\u064a \u0628\u064a\u0646 0 \u0648 100:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\nimport<\/span> numpy as<\/span> np\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ( np.random.randint<\/span> ( 0,100<\/span> ,size=( 10,3<\/span> )), columns=list( '<\/span> ABC<\/span> ') )<\/span> \n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n    ABC\n0 72 70 27\n1 87 85 7\n2 4 42 84\n3 85 87 63\n4 79 72 30\n5 96 99 79\n6 26 47 90\n7 35 69 56\n8 42 47 0\n9 97 4 59\n<\/span><\/span><\/strong><\/pre>\n
 \u0644\u0627\u062d\u0638 \u0623\u0646\u0647 \u0641\u064a \u0643\u0644 \u0645\u0631\u0629 \u062a\u0642\u0648\u0645 \u0641\u064a\u0647\u0627 \u0628\u062a\u0634\u063a\u064a\u0644 \u0647\u0630\u0627 \u0627\u0644\u0631\u0645\u0632\u060c \u0633\u062a\u0643\u0648\u0646 \u0627\u0644\u0623\u0639\u062f\u0627\u062f \u0627\u0644\u0635\u062d\u064a\u062d\u0629 \u0627\u0644\u0639\u0634\u0648\u0627\u0626\u064a\u0629 \u0641\u064a DataFrame \u0645\u062e\u062a\u0644\u0641\u0629.<\/span><\/p>\n
 \u0625\u0630\u0627 \u0643\u0646\u062a \u062a\u0631\u064a\u062f \u0625\u0646\u0634\u0627\u0621 \u0645\u062b\u0627\u0644 \u0642\u0627\u0628\u0644 \u0644\u0644\u062a\u0643\u0631\u0627\u0631 \u062d\u064a\u062b \u062a\u0643\u0648\u0646 \u0627\u0644\u0623\u0639\u062f\u0627\u062f \u0627\u0644\u0635\u062d\u064a\u062d\u0629 \u0627\u0644\u0639\u0634\u0648\u0627\u0626\u064a\u0629 \u0647\u064a \u0646\u0641\u0633\u0647\u0627 \u0641\u064a \u0643\u0644 \u0645\u0631\u0629\u060c \u0641\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062c\u0632\u0621 \u0627\u0644\u062a\u0627\u0644\u064a \u0645\u0646 \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u0627\u062a \u0627\u0644\u0628\u0631\u0645\u062c\u064a\u0629 \u0645\u0628\u0627\u0634\u0631\u0629 \u0642\u0628\u0644 \u0625\u0646\u0634\u0627\u0621 DataFrame:<\/span><\/p>\n
 n.p. random<\/span> . seed<\/span> ( 0<\/span> )\n<\/strong><\/pre>\n
 \u0627\u0644\u0622\u0646\u060c \u0641\u064a \u0643\u0644 \u0645\u0631\u0629 \u062a\u0642\u0648\u0645 \u0641\u064a\u0647\u0627 \u0628\u062a\u0634\u063a\u064a\u0644 \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u0627\u062a \u0627\u0644\u0628\u0631\u0645\u062c\u064a\u0629\u060c \u0633\u062a\u0643\u0648\u0646 \u0627\u0644\u0623\u0639\u062f\u0627\u062f \u0627\u0644\u0635\u062d\u064a\u062d\u0629 \u0627\u0644\u0639\u0634\u0648\u0627\u0626\u064a\u0629 \u0641\u064a DataFrame \u0647\u064a \u0646\u0641\u0633\u0647\u0627.<\/span><\/p>\n
 \u0627\u0644\u0645\u062b\u0627\u0644 2: \u0625\u0636\u0627\u0641\u0629 \u0639\u0645\u0648\u062f \u0628\u064a\u0627\u0646\u0627\u062a \u0639\u0634\u0648\u0627\u0626\u064a \u0625\u0644\u0649 DataFrame \u0645\u0648\u062c\u0648\u062f<\/strong><\/span><\/h3>\n
 \u0644\u0646\u0641\u062a\u0631\u0636 \u0623\u0646 \u0644\u062f\u064a\u0646\u0627 \u0648\u062d\u062f\u0627\u062a DataFrame \u0627\u0644\u0645\u0648\u062c\u0648\u062f\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627:<\/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, 19, 14, 14, 11, 20, 28],\n                   ' assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12]})<\/span>\n\n#view DataFrame\nprint<\/span> (df)\n\n  team points assists rebounds\n0 A 18 5 11\n1 B 22 7 8\n2 C 19 7 10\n3 D 14 9 6\n4 E 14 12 6\n5 F 11 9 5\n6 G 20 9 9\n7:28 4 12\n<\/span><\/span><\/strong><\/pre>\n
 \u064a\u0645\u0643\u0646\u0646\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0643\u0648\u062f \u0627\u0644\u062a\u0627\u0644\u064a \u0644\u0625\u0636\u0627\u0641\u0629 \u0639\u0645\u0648\u062f \u062c\u062f\u064a\u062f \u064a\u0633\u0645\u0649 “rand” \u0648\u0627\u0644\u0630\u064a \u064a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u0623\u0639\u062f\u0627\u062f \u0635\u062d\u064a\u062d\u0629 \u0639\u0634\u0648\u0627\u0626\u064a\u0629 \u0628\u064a\u0646 0 \u0648 100:<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n<\/span><\/span>\n#add 'rand' column that contains 8 random integers between 0 and 100\ndf[' rand<\/span> '] = np. random<\/span> . randint<\/span> ( 0,100<\/span> , size<\/span> = (<\/span> 8,1<\/span> ))\n<\/span>\n#view updated DataFrame\nprint<\/span> (df)\n\n  team points assists rebounds rand\n0 A 18 5 11 47\n1 B 22 7 8 64\n2 C 19 7 10 82\n3 D 14 9 6 99\n4 E 14 12 6 88\n5 F 11 9 5 49\n6 G 20 9 9 29\n7:28 4 12 19<\/span><\/span><\/strong><\/pre>\n
 \u0644\u0627\u062d\u0638 \u0623\u0646\u0647 \u062a\u0645\u062a \u0625\u0636\u0627\u0641\u0629 \u0627\u0644\u0639\u0645\u0648\u062f \u0627\u0644\u062c\u062f\u064a\u062f “rand” \u0625\u0644\u0649 DataFrame \u0627\u0644\u0645\u0648\u062c\u0648\u062f.<\/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\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 \u0627\u062d\u062a\u0633\u0627\u0628 \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0645\u0641\u0642\u0648\u062f\u0629 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627
 \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u0628\u062f\u0627\u0644 \u0642\u064a\u0645 NaN \u0628\u0627\u0644\u0635\u0641\u0631 \u0641\u064a Pandas<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u0627\u0644\u062a\u062d\u0642\u0642 \u0645\u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0627\u0644\u062e\u0644\u064a\u0629 \u0641\u0627\u0631\u063a\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 \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\u0645\u0644\u0648\u0621 \u0628\u0623\u0639\u062f\u0627\u062f \u0635\u062d\u064a\u062d\u0629 \u0639\u0634\u0648\u0627\u0626\u064a\u0629: df = pd. DataFrame ( np.random.randint ( 0,100 ,size=( 10,3 )) , columns=list( ‘ ABC ‘)) \u064a\u0646\u0634\u0626 \u0647\u0630\u0627 \u0627\u0644\u0645\u062b\u0627\u0644 \u0628\u0627\u0644\u062a\u062d\u062f\u064a\u062f DataFrame \u0645\u0643\u0648\u0646\u064b\u0627 \u0645\u0646 10 \u0635\u0641\u0648\u0641 \u0648 3 \u0623\u0639\u0645\u062f\u0629 \u062d\u064a\u062b \u062a\u0643\u0648\u0646 \u0643\u0644 \u0642\u064a\u0645\u0629 \u0641\u064a DataFrame \u0639\u0628\u0627\u0631\u0629 \u0639\u0646 \u0639\u062f\u062f \u0635\u062d\u064a\u062d \u0639\u0634\u0648\u0627\u0626\u064a \u0628\u064a\u0646 0 \u0648 […]<\/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 Pandas DataFrame \u0628\u0628\u064a\u0627\u0646\u0627\u062a \u0639\u0634\u0648\u0627\u0626\u064a\u0629 - \u0627\u0644\u0625\u062d\u0635\u0627\u0626\u064a\u0627\u062a<\/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 \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u0645\u0644\u064a\u0626\u0629 \u0628\u0623\u0631\u0642\u0627\u0645 \u0639\u0634\u0648\u0627\u0626\u064a\u0629\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\u0648\u0644\u062f-\u0628\u064a\u0627\u0646\u0627\u062a-\u0639\u0634\u0648\u0627\u064a\u0654\u064a\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 Pandas DataFrame \u0628\u0628\u064a\u0627\u0646\u0627\u062a \u0639\u0634\u0648\u0627\u0626\u064a\u0629 - \u0627\u0644\u0625\u062d\u0635\u0627\u0626\u064a\u0627\u062a\" \/>\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 \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u0645\u0644\u064a\u0626\u0629 \u0628\u0623\u0631\u0642\u0627\u0645 \u0639\u0634\u0648\u0627\u0626\u064a\u0629\u060c \u0645\u0639 \u0639\u062f\u0629 \u0623\u0645\u062b\u0644\u0629.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ar\/\u0627\u0644\u0628\u0627\u0646\u062f\u0627-\u062a\u0648\u0644\u062f-\u0628\u064a\u0627\u0646\u0627\u062a-\u0639\u0634\u0648\u0627\u064a\u0654\u064a\u0629\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-20T12:39:11+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\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u062f\u0643\u062a\u0648\u0631 \u0628\u0646\u064a\u0627\u0645\u064a\u0646 \u0623\u0646\u062f\u0631\u0633\u0648\u0646\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%aa%d9%88%d9%84%d8%af-%d8%a8%d9%8a%d8%a7%d9%86%d8%a7%d8%aa-%d8%b9%d8%b4%d9%88%d8%a7%d9%8a%d9%94%d9%8a%d8%a9\/\",\"url\":\"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%aa%d9%88%d9%84%d8%af-%d8%a8%d9%8a%d8%a7%d9%86%d8%a7%d8%aa-%d8%b9%d8%b4%d9%88%d8%a7%d9%8a%d9%94%d9%8a%d8%a9\/\",\"name\":\"\u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 Pandas DataFrame \u0628\u0628\u064a\u0627\u0646\u0627\u062a \u0639\u0634\u0648\u0627\u0626\u064a\u0629 - \u0627\u0644\u0625\u062d\u0635\u0627\u0626\u064a\u0627\u062a\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/ar\/#website\"},\"datePublished\":\"2023-07-20T12:39:11+00:00\",\"dateModified\":\"2023-07-20T12:39:11+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/ar\/#\/schema\/person\/a0a26e65f97483429b863aae1a11e3b3\"},\"description\":\"\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 \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u0645\u0644\u064a\u0626\u0629 \u0628\u0623\u0631\u0642\u0627\u0645 \u0639\u0634\u0648\u0627\u0626\u064a\u0629\u060c \u0645\u0639 \u0639\u062f\u0629 \u0623\u0645\u062b\u0644\u0629.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%aa%d9%88%d9%84%d8%af-%d8%a8%d9%8a%d8%a7%d9%86%d8%a7%d8%aa-%d8%b9%d8%b4%d9%88%d8%a7%d9%8a%d9%94%d9%8a%d8%a9\/#breadcrumb\"},\"inLanguage\":\"azb\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%aa%d9%88%d9%84%d8%af-%d8%a8%d9%8a%d8%a7%d9%86%d8%a7%d8%aa-%d8%b9%d8%b4%d9%88%d8%a7%d9%8a%d9%94%d9%8a%d8%a9\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%aa%d9%88%d9%84%d8%af-%d8%a8%d9%8a%d8%a7%d9%86%d8%a7%d8%aa-%d8%b9%d8%b4%d9%88%d8%a7%d9%8a%d9%94%d9%8a%d8%a9\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u0628\u064a\u062a\",\"item\":\"https:\/\/statorials.org\/ar\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"\u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 pandas dataframe \u0628\u0628\u064a\u0627\u0646\u0627\u062a \u0639\u0634\u0648\u0627\u0626\u064a\u0629\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/ar\/#website\",\"url\":\"https:\/\/statorials.org\/ar\/\",\"name\":\"Statorials\",\"description\":\"\u062f\u0644\u064a\u0644\u0643 \u0644\u0645\u062d\u0648 \u0627\u0644\u0623\u0645\u064a\u0629 \u0627\u0644\u0625\u062d\u0635\u0627\u0626\u064a\u0629!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/ar\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"azb\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/ar\/#\/schema\/person\/a0a26e65f97483429b863aae1a11e3b3\",\"name\":\"\u062f\u0643\u062a\u0648\u0631 \u0628\u0646\u064a\u0627\u0645\u064a\u0646 \u0623\u0646\u062f\u0631\u0633\u0648\u0646\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"azb\",\"@id\":\"https:\/\/statorials.org\/ar\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/statorials.org\/ar\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"https:\/\/statorials.org\/ar\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"\u062f\u0643\u062a\u0648\u0631 \u0628\u0646\u064a\u0627\u0645\u064a\u0646 \u0623\u0646\u062f\u0631\u0633\u0648\u0646\"},\"description\":\"\u0645\u0631\u062d\u0628\u064b\u0627\u060c \u0623\u0646\u0627 \u0628\u0646\u062c\u0627\u0645\u064a\u0646\u060c \u0623\u0633\u062a\u0627\u0630 \u0627\u0644\u0625\u062d\u0635\u0627\u0621 \u0627\u0644\u0645\u062a\u0642\u0627\u0639\u062f \u0627\u0644\u0630\u064a \u062a\u062d\u0648\u0644 \u0625\u0644\u0649 \u0645\u062f\u0631\u0633 \u0645\u062a\u062e\u0635\u0635 \u0641\u064a Statorials. \u0628\u0641\u0636\u0644 \u062e\u0628\u0631\u062a\u064a \u0627\u0644\u0648\u0627\u0633\u0639\u0629 \u0641\u064a \u0645\u062c\u0627\u0644 \u0627\u0644\u0625\u062d\u0635\u0627\u0621\u060c \u0641\u0623\u0646\u0627 \u062d\u0631\u064a\u0635 \u0639\u0644\u0649 \u0645\u0634\u0627\u0631\u0643\u0629 \u0645\u0639\u0631\u0641\u062a\u064a \u0644\u062a\u0645\u0643\u064a\u0646 \u0627\u0644\u0637\u0644\u0627\u0628 \u0645\u0646 \u062e\u0644\u0627\u0644 Statorials. \u062a\u0639\u0631\u0641 \u0623\u0643\u062b\u0631\",\"sameAs\":[\"https:\/\/statorials.org\/ar\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"\u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 Pandas DataFrame \u0628\u0628\u064a\u0627\u0646\u0627\u062a \u0639\u0634\u0648\u0627\u0626\u064a\u0629 - \u0627\u0644\u0625\u062d\u0635\u0627\u0626\u064a\u0627\u062a","description":"\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 \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u0645\u0644\u064a\u0626\u0629 \u0628\u0623\u0631\u0642\u0627\u0645 \u0639\u0634\u0648\u0627\u0626\u064a\u0629\u060c \u0645\u0639 \u0639\u062f\u0629 \u0623\u0645\u062b\u0644\u0629.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/statorials.org\/ar\/\u0627\u0644\u0628\u0627\u0646\u062f\u0627-\u062a\u0648\u0644\u062f-\u0628\u064a\u0627\u0646\u0627\u062a-\u0639\u0634\u0648\u0627\u064a\u0654\u064a\u0629\/","og_locale":"az_AZ","og_type":"article","og_title":"\u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 Pandas DataFrame \u0628\u0628\u064a\u0627\u0646\u0627\u062a \u0639\u0634\u0648\u0627\u0626\u064a\u0629 - \u0627\u0644\u0625\u062d\u0635\u0627\u0626\u064a\u0627\u062a","og_description":"\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 \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u0645\u0644\u064a\u0626\u0629 \u0628\u0623\u0631\u0642\u0627\u0645 \u0639\u0634\u0648\u0627\u0626\u064a\u0629\u060c \u0645\u0639 \u0639\u062f\u0629 \u0623\u0645\u062b\u0644\u0629.","og_url":"https:\/\/statorials.org\/ar\/\u0627\u0644\u0628\u0627\u0646\u062f\u0627-\u062a\u0648\u0644\u062f-\u0628\u064a\u0627\u0646\u0627\u062a-\u0639\u0634\u0648\u0627\u064a\u0654\u064a\u0629\/","og_site_name":"Statorials","article_published_time":"2023-07-20T12:39:11+00:00","author":"\u062f\u0643\u062a\u0648\u0631 \u0628\u0646\u064a\u0627\u0645\u064a\u0646 \u0623\u0646\u062f\u0631\u0633\u0648\u0646","twitter_card":"summary_large_image","twitter_misc":{"Written by":"\u062f\u0643\u062a\u0648\u0631 \u0628\u0646\u064a\u0627\u0645\u064a\u0646 \u0623\u0646\u062f\u0631\u0633\u0648\u0646","Est. reading time":"1 minute"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%aa%d9%88%d9%84%d8%af-%d8%a8%d9%8a%d8%a7%d9%86%d8%a7%d8%aa-%d8%b9%d8%b4%d9%88%d8%a7%d9%8a%d9%94%d9%8a%d8%a9\/","url":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%aa%d9%88%d9%84%d8%af-%d8%a8%d9%8a%d8%a7%d9%86%d8%a7%d8%aa-%d8%b9%d8%b4%d9%88%d8%a7%d9%8a%d9%94%d9%8a%d8%a9\/","name":"\u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 Pandas DataFrame \u0628\u0628\u064a\u0627\u0646\u0627\u062a \u0639\u0634\u0648\u0627\u0626\u064a\u0629 - \u0627\u0644\u0625\u062d\u0635\u0627\u0626\u064a\u0627\u062a","isPartOf":{"@id":"https:\/\/statorials.org\/ar\/#website"},"datePublished":"2023-07-20T12:39:11+00:00","dateModified":"2023-07-20T12:39:11+00:00","author":{"@id":"https:\/\/statorials.org\/ar\/#\/schema\/person\/a0a26e65f97483429b863aae1a11e3b3"},"description":"\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 \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u0645\u0644\u064a\u0626\u0629 \u0628\u0623\u0631\u0642\u0627\u0645 \u0639\u0634\u0648\u0627\u0626\u064a\u0629\u060c \u0645\u0639 \u0639\u062f\u0629 \u0623\u0645\u062b\u0644\u0629.","breadcrumb":{"@id":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%aa%d9%88%d9%84%d8%af-%d8%a8%d9%8a%d8%a7%d9%86%d8%a7%d8%aa-%d8%b9%d8%b4%d9%88%d8%a7%d9%8a%d9%94%d9%8a%d8%a9\/#breadcrumb"},"inLanguage":"azb","potentialAction":[{"@type":"ReadAction","target":["https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%aa%d9%88%d9%84%d8%af-%d8%a8%d9%8a%d8%a7%d9%86%d8%a7%d8%aa-%d8%b9%d8%b4%d9%88%d8%a7%d9%8a%d9%94%d9%8a%d8%a9\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%aa%d9%88%d9%84%d8%af-%d8%a8%d9%8a%d8%a7%d9%86%d8%a7%d8%aa-%d8%b9%d8%b4%d9%88%d8%a7%d9%8a%d9%94%d9%8a%d8%a9\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\u0628\u064a\u062a","item":"https:\/\/statorials.org\/ar\/"},{"@type":"ListItem","position":2,"name":"\u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 pandas dataframe \u0628\u0628\u064a\u0627\u0646\u0627\u062a \u0639\u0634\u0648\u0627\u0626\u064a\u0629"}]},{"@type":"WebSite","@id":"https:\/\/statorials.org\/ar\/#website","url":"https:\/\/statorials.org\/ar\/","name":"Statorials","description":"\u062f\u0644\u064a\u0644\u0643 \u0644\u0645\u062d\u0648 \u0627\u0644\u0623\u0645\u064a\u0629 \u0627\u0644\u0625\u062d\u0635\u0627\u0626\u064a\u0629!","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/statorials.org\/ar\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"azb"},{"@type":"Person","@id":"https:\/\/statorials.org\/ar\/#\/schema\/person\/a0a26e65f97483429b863aae1a11e3b3","name":"\u062f\u0643\u062a\u0648\u0631 \u0628\u0646\u064a\u0627\u0645\u064a\u0646 \u0623\u0646\u062f\u0631\u0633\u0648\u0646","image":{"@type":"ImageObject","inLanguage":"azb","@id":"https:\/\/statorials.org\/ar\/#\/schema\/person\/image\/","url":"https:\/\/statorials.org\/ar\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg","contentUrl":"https:\/\/statorials.org\/ar\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg","caption":"\u062f\u0643\u062a\u0648\u0631 \u0628\u0646\u064a\u0627\u0645\u064a\u0646 \u0623\u0646\u062f\u0631\u0633\u0648\u0646"},"description":"\u0645\u0631\u062d\u0628\u064b\u0627\u060c \u0623\u0646\u0627 \u0628\u0646\u062c\u0627\u0645\u064a\u0646\u060c \u0623\u0633\u062a\u0627\u0630 \u0627\u0644\u0625\u062d\u0635\u0627\u0621 \u0627\u0644\u0645\u062a\u0642\u0627\u0639\u062f \u0627\u0644\u0630\u064a \u062a\u062d\u0648\u0644 \u0625\u0644\u0649 \u0645\u062f\u0631\u0633 \u0645\u062a\u062e\u0635\u0635 \u0641\u064a Statorials. \u0628\u0641\u0636\u0644 \u062e\u0628\u0631\u062a\u064a \u0627\u0644\u0648\u0627\u0633\u0639\u0629 \u0641\u064a \u0645\u062c\u0627\u0644 \u0627\u0644\u0625\u062d\u0635\u0627\u0621\u060c \u0641\u0623\u0646\u0627 \u062d\u0631\u064a\u0635 \u0639\u0644\u0649 \u0645\u0634\u0627\u0631\u0643\u0629 \u0645\u0639\u0631\u0641\u062a\u064a \u0644\u062a\u0645\u0643\u064a\u0646 \u0627\u0644\u0637\u0644\u0627\u0628 \u0645\u0646 \u062e\u0644\u0627\u0644 Statorials. \u062a\u0639\u0631\u0641 \u0623\u0643\u062b\u0631","sameAs":["https:\/\/statorials.org\/ar"]}]}},"yoast_meta":{"yoast_wpseo_title":"","yoast_wpseo_metadesc":"","yoast_wpseo_canonical":""},"_links":{"self":[{"href":"https:\/\/statorials.org\/ar\/wp-json\/wp\/v2\/posts\/2827"}],"collection":[{"href":"https:\/\/statorials.org\/ar\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/statorials.org\/ar\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/statorials.org\/ar\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/statorials.org\/ar\/wp-json\/wp\/v2\/comments?post=2827"}],"version-history":[{"count":0,"href":"https:\/\/statorials.org\/ar\/wp-json\/wp\/v2\/posts\/2827\/revisions"}],"wp:attachment":[{"href":"https:\/\/statorials.org\/ar\/wp-json\/wp\/v2\/media?parent=2827"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statorials.org\/ar\/wp-json\/wp\/v2\/categories?post=2827"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statorials.org\/ar\/wp-json\/wp\/v2\/tags?post=2827"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}