{"id":1731,"date":"2023-07-25T05:11:30","date_gmt":"2023-07-25T05:11:30","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%b3%d9%82%d8%a7%d8%b7-%d8%a7%d9%84%d8%b9%d9%85%d9%88%d8%af-%d8%ad%d8%b3%d8%a8-%d8%a7%d9%84%d9%81%d9%87%d8%b1%d8%b3\/"},"modified":"2023-07-25T05:11:30","modified_gmt":"2023-07-25T05:11:30","slug":"%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%a7%d9%95%d8%b3%d9%82%d8%a7%d8%b7-%d8%a7%d9%84%d8%b9%d9%85%d9%88%d8%af-%d8%ad%d8%b3%d8%a8-%d8%a7%d9%84%d9%81%d9%87%d8%b1%d8%b3","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%b3%d9%82%d8%a7%d8%b7-%d8%a7%d9%84%d8%b9%d9%85%d9%88%d8%af-%d8%ad%d8%b3%d8%a8-%d8%a7%d9%84%d9%81%d9%87%d8%b1%d8%b3\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u062d\u0630\u0641 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u062d\u0633\u0628 \u0627\u0644\u0641\u0647\u0631\u0633 \u0641\u064a pandas"},"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\u0625\u0632\u0627\u0644\u0629 \u0639\u0645\u0648\u062f \u0645\u0646 Pandas DataFrame \u062d\u0633\u0628 \u0631\u0642\u0645 \u0627\u0644\u0641\u0647\u0631\u0633:<\/span><\/p>\n

 #drop first column from DataFrame<\/span>\ndf. drop<\/span> ( df.columns<\/span> [0], axis= 1<\/span> , inplace= True<\/span> )\n<\/strong><\/pre>\n
 \u0648\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\u0625\u0632\u0627\u0644\u0629 \u0623\u0639\u0645\u062f\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u0645\u0646 pandas DataFrame \u062d\u0633\u0628 \u0623\u0631\u0642\u0627\u0645 \u0627\u0644\u0641\u0647\u0631\u0633:<\/span><\/p>\n
 #drop first, second, and fourth column from DataFrame\n<\/span>cols = [0, 1, 3]\ndf. drop<\/span> (df. columns<\/span> [cols], axis= 1<\/span> , inplace= True<\/span> )<\/strong><\/pre>\n
 \u0625\u0630\u0627 \u0643\u0627\u0646 DataFrame \u0627\u0644\u062e\u0627\u0635 \u0628\u0643 \u064a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u0623\u0633\u0645\u0627\u0621 \u0623\u0639\u0645\u062f\u0629 \u0645\u0643\u0631\u0631\u0629\u060c \u0641\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\u0625\u0632\u0627\u0644\u0629 \u0639\u0645\u0648\u062f \u062d\u0633\u0628 \u0631\u0642\u0645 \u0627\u0644\u0641\u0647\u0631\u0633:<\/span><\/p>\n
 #define list of columns\n<\/span>cols = [x for<\/span> x in<\/span> range( df.shape<\/span> [1])]\n\n#drop second column\n<\/span>collars. remove<\/span> (1)\n\n#view resulting DataFrame\n<\/span>df. iloc<\/span> [:, cols]<\/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 \u0625\u0633\u0642\u0627\u0637 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u062d\u0633\u0628 \u0627\u0644\u0641\u0647\u0631\u0633 \u0639\u0645\u0644\u064a\u064b\u0627.<\/span><\/p>\n
 \u0645\u062b\u0627\u0644 1: \u062d\u0630\u0641 \u0639\u0645\u0648\u062f \u062d\u0633\u0628 \u0627\u0644\u0641\u0647\u0631\u0633<\/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\u0632\u0627\u0644\u0629 \u0627\u0644\u0639\u0645\u0648\u062f \u0627\u0644\u0623\u0648\u0644 \u0645\u0646 pandas DataFrame:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd<\/span>\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['Mavs', 'Lakers', 'Spurs', 'Cavs'],\n                   ' first<\/span> ': ['Dirk', 'Kobe', 'Tim', 'Lebron'],\n                   ' last<\/span> ': ['Nowitzki', 'Bryant', 'Duncan', 'James'],\n                   ' points<\/span> ': [26, 31, 22, 29]})<\/span>\n\n#drop first column from DataFrame<\/span>\ndf. drop<\/span> ( df.columns<\/span> [0], axis= 1<\/span> , inplace= True<\/span> )\n\n#view resulting dataFrame<\/span>\ndf\n\n        first last points\n0 Dirk Nowitzki 26\n1 Kobe Bryant 31\n2 Tim Duncan 22\n3 LeBron James 29\n<\/strong><\/pre>\n
 \u0645\u062b\u0627\u0644 2: \u0642\u0645 \u0628\u0625\u0633\u0642\u0627\u0637 \u0623\u0639\u0645\u062f\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u062d\u0633\u0628 \u0627\u0644\u0641\u0647\u0631\u0633<\/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\u0633\u0642\u0627\u0637 \u0623\u0639\u0645\u062f\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u0641\u064a pandas DataFrame \u062d\u0633\u0628 \u0627\u0644\u0641\u0647\u0631\u0633:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd<\/span>\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['Mavs', 'Lakers', 'Spurs', 'Cavs'],\n                   ' first<\/span> ': ['Dirk', 'Kobe', 'Tim', 'Lebron'],\n                   ' last<\/span> ': ['Nowitzki', 'Bryant', 'Duncan', 'James'],\n                   ' points<\/span> ': [26, 31, 22, 29]})<\/span>\n\n#drop first, second and fourth columns from DataFrame\n<\/span>cols = [0, 1, 3] \n<\/span>df. drop<\/span> (df. columns<\/span> [cols], axis= 1<\/span> , inplace= True<\/span> )\n\n#view resulting dataFrame<\/span>\ndf\n\n        last\n0 Nowitzki\n1 Bryant\n2 Duncan\n3 James\n<\/strong><\/pre>\n
 \u0645\u062b\u0627\u0644 3: \u062d\u0630\u0641 \u0639\u0645\u0648\u062f \u062d\u0633\u0628 \u0627\u0644\u0641\u0647\u0631\u0633 \u0645\u0639 \u0627\u0644\u062a\u0643\u0631\u0627\u0631\u0627\u062a<\/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\u0632\u0627\u0644\u0629 \u0639\u0645\u0648\u062f \u062d\u0633\u0628 \u0631\u0642\u0645 \u0627\u0644\u0641\u0647\u0631\u0633 \u0641\u064a pandas DataFrame \u0639\u0646\u062f \u0648\u062c\u0648\u062f \u0623\u0633\u0645\u0627\u0621 \u0623\u0639\u0645\u062f\u0629 \u0645\u0643\u0631\u0631\u0629:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd<\/span>\n\n#createDataFrame\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['Mavs', 'Lakers', 'Spurs', 'Cavs'],\n                   ' last<\/span> ': ['Nowitzki', 'Bryant', 'Duncan', 'James'],\n                   ' last<\/span> ': ['Nowitzki', 'Bryant', 'Duncan', 'James'],\n                   ' points<\/span> ': [26, 31, 22, 29]},\n                   columns=[' team<\/span> ', ' last<\/span> ', ' last<\/span> ', ' points<\/span> '])\n\n<\/span>#define list of columns range\ncols = [x for<\/span> x in<\/span> range( df.shape<\/span> [1])]\n<\/span>\n#remove second column in DataFrame\ncollars. remove<\/span> (1)\n<\/span>\n#view resulting DataFrame\ndf. iloc<\/span> [:, cols]\n\n\tteam last points\n0 Mavs Nowitzki 26\n1 Lakers Bryant 31\n2 Spurs Duncan 22\n3 Cavs James 29\n<\/span><\/span><\/strong><\/pre>\n
 \u0645\u0635\u0627\u062f\u0631 \u0625\u0636\u0627\u0641\u064a\u0629<\/strong><\/span><\/h3>\n
 \u0643\u064a\u0641\u064a\u0629 \u0627\u0644\u062c\u0645\u0639 \u0628\u064a\u0646 \u0639\u0645\u0648\u062f\u064a\u0646 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627<\/a>
 \u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u0641\u0631\u0632 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u062d\u0633\u0628 \u0627\u0644\u0627\u0633\u0645<\/a>
 \u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0627\u0644\u0641\u0631\u0642 \u0628\u064a\u0646 \u0639\u0645\u0648\u062f\u064a\u0646<\/a>
 \u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u0625\u0636\u0627\u0641\u0629 \u0623\u0639\u0645\u062f\u0629 \u0628\u0646\u0627\u0621\u064b \u0639\u0644\u0649 \u0627\u0644\u0634\u0631\u0637<\/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\u0625\u0632\u0627\u0644\u0629 \u0639\u0645\u0648\u062f \u0645\u0646 Pandas DataFrame \u062d\u0633\u0628 \u0631\u0642\u0645 \u0627\u0644\u0641\u0647\u0631\u0633: #drop first column from DataFrame df. drop ( df.columns [0], axis= 1 , inplace= True ) \u0648\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\u0625\u0632\u0627\u0644\u0629 \u0623\u0639\u0645\u062f\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u0645\u0646 pandas DataFrame \u062d\u0633\u0628 \u0623\u0631\u0642\u0627\u0645 \u0627\u0644\u0641\u0647\u0631\u0633: #drop first, second, and fourth column from DataFrame cols = [0, 1, […]<\/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 \u062d\u0630\u0641 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u062d\u0633\u0628 \u0627\u0644\u0641\u0647\u0631\u0633 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u2013 \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\u0632\u0627\u0644\u0629 \u0639\u0645\u0648\u062f \u0648\u0627\u062d\u062f \u0623\u0648 \u0623\u0643\u062b\u0631 \u0645\u0646 Pandas DataFrame \u062d\u0633\u0628 \u0631\u0642\u0645 \u0627\u0644\u0641\u0647\u0631\u0633\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-\u0627\u0655\u0633\u0642\u0627\u0637-\u0627\u0644\u0639\u0645\u0648\u062f-\u062d\u0633\u0628-\u0627\u0644\u0641\u0647\u0631\u0633\/\" \/>\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 \u062d\u0630\u0641 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u062d\u0633\u0628 \u0627\u0644\u0641\u0647\u0631\u0633 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u2013 \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\u0632\u0627\u0644\u0629 \u0639\u0645\u0648\u062f \u0648\u0627\u062d\u062f \u0623\u0648 \u0623\u0643\u062b\u0631 \u0645\u0646 Pandas DataFrame \u062d\u0633\u0628 \u0631\u0642\u0645 \u0627\u0644\u0641\u0647\u0631\u0633\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-\u0627\u0655\u0633\u0642\u0627\u0637-\u0627\u0644\u0639\u0645\u0648\u062f-\u062d\u0633\u0628-\u0627\u0644\u0641\u0647\u0631\u0633\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-25T05:11:30+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%a7%d9%95%d8%b3%d9%82%d8%a7%d8%b7-%d8%a7%d9%84%d8%b9%d9%85%d9%88%d8%af-%d8%ad%d8%b3%d8%a8-%d8%a7%d9%84%d9%81%d9%87%d8%b1%d8%b3\/\",\"url\":\"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%a7%d9%95%d8%b3%d9%82%d8%a7%d8%b7-%d8%a7%d9%84%d8%b9%d9%85%d9%88%d8%af-%d8%ad%d8%b3%d8%a8-%d8%a7%d9%84%d9%81%d9%87%d8%b1%d8%b3\/\",\"name\":\"\u0643\u064a\u0641\u064a\u0629 \u062d\u0630\u0641 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u062d\u0633\u0628 \u0627\u0644\u0641\u0647\u0631\u0633 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u2013 \u0627\u0644\u0625\u062d\u0635\u0627\u0626\u064a\u0627\u062a\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/ar\/#website\"},\"datePublished\":\"2023-07-25T05:11:30+00:00\",\"dateModified\":\"2023-07-25T05:11:30+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\u0632\u0627\u0644\u0629 \u0639\u0645\u0648\u062f \u0648\u0627\u062d\u062f \u0623\u0648 \u0623\u0643\u062b\u0631 \u0645\u0646 Pandas DataFrame \u062d\u0633\u0628 \u0631\u0642\u0645 \u0627\u0644\u0641\u0647\u0631\u0633\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%a7%d9%95%d8%b3%d9%82%d8%a7%d8%b7-%d8%a7%d9%84%d8%b9%d9%85%d9%88%d8%af-%d8%ad%d8%b3%d8%a8-%d8%a7%d9%84%d9%81%d9%87%d8%b1%d8%b3\/#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%a7%d9%95%d8%b3%d9%82%d8%a7%d8%b7-%d8%a7%d9%84%d8%b9%d9%85%d9%88%d8%af-%d8%ad%d8%b3%d8%a8-%d8%a7%d9%84%d9%81%d9%87%d8%b1%d8%b3\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%a7%d9%95%d8%b3%d9%82%d8%a7%d8%b7-%d8%a7%d9%84%d8%b9%d9%85%d9%88%d8%af-%d8%ad%d8%b3%d8%a8-%d8%a7%d9%84%d9%81%d9%87%d8%b1%d8%b3\/#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 \u062d\u0630\u0641 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u062d\u0633\u0628 \u0627\u0644\u0641\u0647\u0631\u0633 \u0641\u064a pandas\"}]},{\"@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 \u062d\u0630\u0641 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u062d\u0633\u0628 \u0627\u0644\u0641\u0647\u0631\u0633 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u2013 \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\u0632\u0627\u0644\u0629 \u0639\u0645\u0648\u062f \u0648\u0627\u062d\u062f \u0623\u0648 \u0623\u0643\u062b\u0631 \u0645\u0646 Pandas DataFrame \u062d\u0633\u0628 \u0631\u0642\u0645 \u0627\u0644\u0641\u0647\u0631\u0633\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-\u0627\u0655\u0633\u0642\u0627\u0637-\u0627\u0644\u0639\u0645\u0648\u062f-\u062d\u0633\u0628-\u0627\u0644\u0641\u0647\u0631\u0633\/","og_locale":"az_AZ","og_type":"article","og_title":"\u0643\u064a\u0641\u064a\u0629 \u062d\u0630\u0641 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u062d\u0633\u0628 \u0627\u0644\u0641\u0647\u0631\u0633 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u2013 \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\u0632\u0627\u0644\u0629 \u0639\u0645\u0648\u062f \u0648\u0627\u062d\u062f \u0623\u0648 \u0623\u0643\u062b\u0631 \u0645\u0646 Pandas DataFrame \u062d\u0633\u0628 \u0631\u0642\u0645 \u0627\u0644\u0641\u0647\u0631\u0633\u060c \u0645\u0639 \u0639\u062f\u0629 \u0623\u0645\u062b\u0644\u0629.","og_url":"https:\/\/statorials.org\/ar\/\u0627\u0644\u0628\u0627\u0646\u062f\u0627-\u0627\u0655\u0633\u0642\u0627\u0637-\u0627\u0644\u0639\u0645\u0648\u062f-\u062d\u0633\u0628-\u0627\u0644\u0641\u0647\u0631\u0633\/","og_site_name":"Statorials","article_published_time":"2023-07-25T05:11:30+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%a7%d9%95%d8%b3%d9%82%d8%a7%d8%b7-%d8%a7%d9%84%d8%b9%d9%85%d9%88%d8%af-%d8%ad%d8%b3%d8%a8-%d8%a7%d9%84%d9%81%d9%87%d8%b1%d8%b3\/","url":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%a7%d9%95%d8%b3%d9%82%d8%a7%d8%b7-%d8%a7%d9%84%d8%b9%d9%85%d9%88%d8%af-%d8%ad%d8%b3%d8%a8-%d8%a7%d9%84%d9%81%d9%87%d8%b1%d8%b3\/","name":"\u0643\u064a\u0641\u064a\u0629 \u062d\u0630\u0641 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u062d\u0633\u0628 \u0627\u0644\u0641\u0647\u0631\u0633 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u2013 \u0627\u0644\u0625\u062d\u0635\u0627\u0626\u064a\u0627\u062a","isPartOf":{"@id":"https:\/\/statorials.org\/ar\/#website"},"datePublished":"2023-07-25T05:11:30+00:00","dateModified":"2023-07-25T05:11:30+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\u0632\u0627\u0644\u0629 \u0639\u0645\u0648\u062f \u0648\u0627\u062d\u062f \u0623\u0648 \u0623\u0643\u062b\u0631 \u0645\u0646 Pandas DataFrame \u062d\u0633\u0628 \u0631\u0642\u0645 \u0627\u0644\u0641\u0647\u0631\u0633\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%a7%d9%95%d8%b3%d9%82%d8%a7%d8%b7-%d8%a7%d9%84%d8%b9%d9%85%d9%88%d8%af-%d8%ad%d8%b3%d8%a8-%d8%a7%d9%84%d9%81%d9%87%d8%b1%d8%b3\/#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%a7%d9%95%d8%b3%d9%82%d8%a7%d8%b7-%d8%a7%d9%84%d8%b9%d9%85%d9%88%d8%af-%d8%ad%d8%b3%d8%a8-%d8%a7%d9%84%d9%81%d9%87%d8%b1%d8%b3\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%a7%d9%95%d8%b3%d9%82%d8%a7%d8%b7-%d8%a7%d9%84%d8%b9%d9%85%d9%88%d8%af-%d8%ad%d8%b3%d8%a8-%d8%a7%d9%84%d9%81%d9%87%d8%b1%d8%b3\/#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 \u062d\u0630\u0641 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u062d\u0633\u0628 \u0627\u0644\u0641\u0647\u0631\u0633 \u0641\u064a pandas"}]},{"@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\/1731"}],"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=1731"}],"version-history":[{"count":0,"href":"https:\/\/statorials.org\/ar\/wp-json\/wp\/v2\/posts\/1731\/revisions"}],"wp:attachment":[{"href":"https:\/\/statorials.org\/ar\/wp-json\/wp\/v2\/media?parent=1731"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statorials.org\/ar\/wp-json\/wp\/v2\/categories?post=1731"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statorials.org\/ar\/wp-json\/wp\/v2\/tags?post=1731"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}