{"id":1732,"date":"2023-07-25T05:07:32","date_gmt":"2023-07-25T05:07:32","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%b5%d9%81-%d8%ad%d8%b3%d8%a8-%d8%a7%d9%84%d9%81%d9%87%d8%b1%d8%b3\/"},"modified":"2023-07-25T05:07:32","modified_gmt":"2023-07-25T05:07:32","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%b5%d9%81-%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%b5%d9%81-%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\u0635\u0641\u0648\u0641 \u062d\u0633\u0628 \u0627\u0644\u0641\u0647\u0631\u0633 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627 (\u0645\u0639 \u0623\u0645\u062b\u0644\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\u062a\u0627\u0644\u064a \u0644\u062d\u0630\u0641 \u0635\u0641 \u0645\u0646 pandas DataFrame \u062d\u0633\u0628 \u0631\u0642\u0645 \u0627\u0644\u0641\u0647\u0631\u0633:<\/span><\/p>\n

 #drop first row from DataFrame<\/span>\ndf = df. drop<\/span> (index= 0<\/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\u062d\u0630\u0641 \u0635\u0641\u0648\u0641 \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 row from DataFrame\n<\/span>df = df. drop<\/span> ( index=[0,1,3<\/span> ]<\/span> )<\/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 \u0633\u0644\u0627\u0633\u0644 \u0643\u0642\u064a\u0645 \u0641\u0647\u0631\u0633\u060c \u0641\u064a\u0645\u0643\u0646\u0643 \u0628\u0628\u0633\u0627\u0637\u0629 \u062a\u0645\u0631\u064a\u0631 \u0627\u0644\u0623\u0633\u0645\u0627\u0621 \u0643\u0633\u0644\u0627\u0633\u0644 \u0644\u0625\u0632\u0627\u0644\u062a\u0647\u0627:<\/span><\/p>\n
 df = df. drop<\/span> (index=[' first<\/span> ', ' second<\/span> ', ' third<\/span> '])\n<\/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 \u062d\u0630\u0641 \u0627\u0644\u0635\u0641\u0648\u0641 \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 \u0635\u0641 \u062d\u0633\u0628 \u0627\u0644\u0641\u0647\u0631\u0633<\/strong><\/span><\/h3>\n
 \u064a\u0648\u0636\u062d \u0627\u0644\u0643\u0648\u062f \u0627\u0644\u062a\u0627\u0644\u064a \u0643\u064a\u0641\u064a\u0629 \u062d\u0630\u0641 \u0627\u0644\u0635\u0641 \u0627\u0644\u062b\u0627\u0646\u064a \u0641\u064a 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]})\n\n<\/span>#view DataFrame\ndf\n\n<\/span>team first last<\/span> points\n0 Mavs Dirk Nowitzki<\/span> 26\n1 Lakers Kobe Bryant<\/span> 31\n2 Spurs Tim Duncan<\/span> 22\n3 Cavs LeBron James<\/span> 29<\/span>\n\n#drop second row from DataFrame<\/span>\ndf = df. drop<\/span> (index= 1<\/span> ) \n\n#view resulting dataFrame<\/span>\ndf\n\n        team first last points\n0 Mavs Dirk Nowitzki 26\n2 Spurs Tim Duncan 22\n3 Cavs LeBron James 29\n<\/strong><\/pre>\n
 \u0627\u0644\u0645\u062b\u0627\u0644 2: \u062d\u0630\u0641 \u0635\u0641\u0648\u0641 \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\u0643\u0648\u062f \u0627\u0644\u062a\u0627\u0644\u064a \u0643\u064a\u0641\u064a\u0629 \u062d\u0630\u0641 \u0635\u0641\u0648\u0641 \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]})\n\n<\/span>#view DataFrame\ndf\n\n<\/span>team first last<\/span> points\n0 Mavs Dirk Nowitzki<\/span> 26\n1 Lakers Kobe Bryant<\/span> 31\n2 Spurs Tim Duncan<\/span> 22\n3 Cavs LeBron James<\/span> 29<\/span>\n\n#drop first, second, and fourth row from DataFrame<\/span>\ndf = df. drop<\/span> ( index=[0,1,3<\/span> ]<\/span> ) \n\n#view resulting dataFrame<\/span>\ndf\n\n\tteam first last points\n2 Spurs Tim Duncan 22<\/strong><\/pre>\n
 \u0645\u062b\u0627\u0644 3: \u062d\u0630\u0641 \u0627\u0644\u0635\u0641\u0648\u0641 \u0639\u0646\u062f\u0645\u0627 \u064a\u0643\u0648\u0646 \u0627\u0644\u0641\u0647\u0631\u0633 \u0639\u0628\u0627\u0631\u0629 \u0639\u0646 \u0633\u0644\u0633\u0644\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\u0632\u0627\u0644\u0629 \u0627\u0644\u0635\u0641\u0648\u0641 \u0645\u0646 DataFrame \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u062d\u0633\u0628 \u0627\u0644\u0641\u0647\u0631\u0633 \u0639\u0646\u062f\u0645\u0627 \u064a\u0643\u0648\u0646 \u0627\u0644\u0641\u0647\u0631\u0633 \u0639\u0628\u0627\u0631\u0629 \u0639\u0646 \u0633\u0644\u0633\u0644\u0629 \u0628\u062f\u0644\u0627\u064b \u0645\u0646 \u0631\u0642\u0645:<\/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                   index=['A', 'B', 'C', 'D'])\n\n<\/span>#view DataFrame\ndf\n<\/span>team first last<\/span> points\nA Mavs Dirk Nowitzki<\/span> 26\nB Lakers Kobe Bryant<\/span> 31\nC Spurs Tim Duncan<\/span> 22\nD Cavs Lebron James<\/span> 29\n<\/span>\n#remove rows with index values 'A' and 'C'\ndf = df. drop<\/span> (index=[' A<\/span> ',' C<\/span> '])\n<\/span>\n#view resulting DataFrame\ndf\n\nteam first last points\nB Lakers Kobe Bryant 31\nD Cavs Lebron James 29<\/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 \u062d\u0630\u0641 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u062d\u0633\u0628 \u0627\u0644\u0641\u0647\u0631\u0633 \u0641\u064a Pandas<\/a>
 \u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u062d\u0630\u0641 \u0627\u0644\u0623\u0633\u0637\u0631 \u0627\u0644\u062a\u064a \u062a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u0633\u0644\u0633\u0644\u0629 \u0645\u062d\u062f\u062f\u0629<\/a>
 \u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u0635\u0641\u0648\u0641 \u0627\u0644\u0645\u0643\u0631\u0631\u0629<\/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\u062d\u0630\u0641 \u0635\u0641 \u0645\u0646 pandas DataFrame \u062d\u0633\u0628 \u0631\u0642\u0645 \u0627\u0644\u0641\u0647\u0631\u0633: #drop first row from DataFrame df = df. drop (index= 0 ) \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\u062d\u0630\u0641 \u0635\u0641\u0648\u0641 \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 row from DataFrame df = df. drop ( index=[0,1,3 ] ) […]<\/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\u0635\u0641\u0648\u0641 \u062d\u0633\u0628 \u0627\u0644\u0641\u0647\u0631\u0633 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627 (\u0645\u0639 \u0623\u0645\u062b\u0644\u0629)<\/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 \u062d\u0630\u0641 \u0627\u0644\u0635\u0641\u0648\u0641 \u062d\u0633\u0628 \u0627\u0644\u0641\u0647\u0631\u0633 \u0641\u064a Pandas DataFrame\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, 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