{"id":4163,"date":"2023-07-13T04:16:13","date_gmt":"2023-07-13T04:16:13","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%aa%d8%b3%d9%82%d8%b7-%d8%a7%d9%94%d8%b9%d9%85%d8%af%d8%a9-%d9%85%d8%aa%d8%b9%d8%af%d8%af%d8%a9\/"},"modified":"2023-07-13T04:16:13","modified_gmt":"2023-07-13T04:16:13","slug":"%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%aa%d8%b3%d9%82%d8%b7-%d8%a7%d9%94%d8%b9%d9%85%d8%af%d8%a9-%d9%85%d8%aa%d8%b9%d8%af%d8%af%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%d8%b3%d9%82%d8%b7-%d8%a7%d9%94%d8%b9%d9%85%d8%af%d8%a9-%d9%85%d8%aa%d8%b9%d8%af%d8%af%d8%a9\/","title":{"rendered":"\u0643\u064a\u0641\u064a\u0629 \u062d\u0630\u0641 \u0623\u0639\u0645\u062f\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627 (4 \u0637\u0631\u0642)"},"content":{"rendered":"

<\/p>\n

\n

\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0637\u0631\u0642 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0644\u0625\u0632\u0627\u0644\u0629 \u0623\u0639\u0645\u062f\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u0645\u0646 pandas DataFrame:<\/span><\/span><\/p>\n

\u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649: \u0625\u0632\u0627\u0644\u0629 \u0623\u0639\u0645\u062f\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u0628\u0627\u0644\u0627\u0633\u0645<\/strong><\/span><\/p>\n

 df. drop<\/span> (columns=[' col1<\/span> ', ' col2<\/span> ', ' col4<\/span> '], inplace= True<\/span> )\n<\/strong><\/pre>\n
 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0646\u064a\u0629: \u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0627\u0644\u0645\u0648\u062c\u0648\u062f\u0629 \u0641\u064a \u0627\u0644\u0646\u0637\u0627\u0642 \u062d\u0633\u0628 \u0627\u0644\u0627\u0633\u0645<\/strong><\/span><\/p>\n
 df. drop<\/span> (columns= df.loc<\/span> [:, ' col1<\/span> ':' col4<\/span> '], inplace= True<\/span> )<\/strong><\/pre>\n
 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0644\u062b\u0629: \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><\/p>\n
 df. drop<\/span> (columns=df. columns<\/span> [[0, 3, 4]], inplace= True<\/span> )\n<\/strong><\/pre>\n
 \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0631\u0627\u0628\u0639\u0629: \u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0627\u0644\u0645\u0648\u062c\u0648\u062f\u0629 \u0641\u064a \u0627\u0644\u0646\u0637\u0627\u0642 \u062d\u0633\u0628 \u0627\u0644\u0641\u0647\u0631\u0633<\/strong><\/span><\/p>\n
 df. drop<\/span> (columns= df.columns<\/span> [1:4], inplace= True<\/span> )<\/strong><\/pre>\n
 \u0645\u0644\u0627\u062d\u0638\u0629<\/strong> : \u0627\u0644\u0648\u0633\u064a\u0637\u0629 inplace=True<\/strong> \u062a\u062e\u0628\u0631 \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u0628\u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0627\u0644\u0645\u0648\u062c\u0648\u062f\u0629 \u062f\u0648\u0646 \u0625\u0639\u0627\u062f\u0629 \u062a\u0639\u064a\u064a\u0646 DataFrame.<\/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 \u0643\u0644 \u0637\u0631\u064a\u0642\u0629 \u0639\u0645\u0644\u064a\u064b\u0627 \u0645\u0639 \u0627\u0644\u0628\u0627\u0646\u062f\u0627 DataFrame \u0627\u0644\u062a\u0627\u0644\u064a\u0629:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd<\/span>\n\n#createDataFrame<\/span>\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],\n                   ' steals<\/span> ': [4, 5, 10, 12, 4, 8, 7, 2]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n  team points assists rebounds steals\n0 A 18 5 11 4\n1 B 22 7 8 5\n2 C 19 7 10 10\n3 D 14 9 6 12\n4 E 14 12 6 4\n5 F 11 9 5 8\n6 G 20 9 9 7\n7:28 4 12 2<\/strong><\/pre>\n
 \u0645\u062b\u0627\u0644 1: \u0625\u0632\u0627\u0644\u0629 \u0623\u0639\u0645\u062f\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u0628\u0627\u0644\u0627\u0633\u0645<\/strong><\/span><\/h2>\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\u0646\u0642\u0627\u0637<\/strong> \u0648\u0627\u0644\u0645\u0631\u062a\u062f\u0627\u062a<\/strong> \u0648\u0633\u0631\u0642\u0629<\/strong> \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0628\u0627\u0644\u0627\u0633\u0645:<\/span><\/p>\n
 #drop multiple columns by name\n<\/span>df. drop<\/span> (columns=[' points<\/span> ', ' rebounds<\/span> ', ' steals<\/span> '], inplace= True<\/span> )\n\n#view updated Dataframe\n<\/span>print<\/span> (df)\n\n  team assists\n0 to 5\n1 B 7\n2 C 7\n3 D 9\n4 E 12\n5 F 9\n6 G 9\n7:04 a.m.<\/strong>\n<\/pre>\n
 \u0627\u0644\u0645\u062b\u0627\u0644 2: \u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0627\u0644\u0645\u0648\u062c\u0648\u062f\u0629 \u0641\u064a \u0627\u0644\u0646\u0637\u0627\u0642 \u062d\u0633\u0628 \u0627\u0644\u0627\u0633\u0645<\/strong><\/span><\/h2>\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 \u0643\u0644 \u0639\u0645\u0648\u062f \u0628\u064a\u0646 \u0623\u0639\u0645\u062f\u0629 \u0627\u0644\u0646\u0642\u0627\u0637<\/strong> \u0648\u0627\u0644\u0627\u0631\u062a\u062f\u0627\u062f\u0627\u062a<\/strong> \u062d\u0633\u0628 \u0627\u0644\u0627\u0633\u0645:<\/span><\/p>\n
 #drop columns in range by name\n<\/span>df. drop<\/span> (columns= df.loc<\/span> [:, ' points<\/span> ':' rebounds<\/span> '], inplace= True<\/span> )\n\n#view updated Dataframe\n<\/span>print<\/span> (df)\n\n  team steals\n0 to 4\n1 B 5\n2 C 10\n3 D 12\n4 E 4\n5 F 8\n6 G 7\n7 A.M. 2<\/strong><\/pre>\n
 \u0645\u062b\u0627\u0644 3: \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><\/h2>\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\u0623\u0639\u0645\u062f\u0629 \u0641\u064a \u0645\u0648\u0627\u0636\u0639 \u0627\u0644\u0641\u0647\u0631\u0633 0 \u06483 \u06484 \u0645\u0646 DataFrame:<\/span><\/p>\n
 #drop multiple columns by index\n<\/span>df. drop<\/span> (columns=df. columns<\/span> [[0, 3, 4]], inplace= True<\/span> )\n\n#view updated Dataframe\n<\/span>print<\/span> (df)\n\n   assist points\n0 18 5\n1 22 7\n2 19 7\n3 14 9\n4 14 12\n5 11 9\n6 20 9\n7 28 4<\/strong><\/pre>\n
 \u0627\u0644\u0645\u062b\u0627\u0644 4: \u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0627\u0644\u0645\u0648\u062c\u0648\u062f\u0629 \u0641\u064a \u0627\u0644\u0646\u0637\u0627\u0642 \u062d\u0633\u0628 \u0627\u0644\u0641\u0647\u0631\u0633<\/strong><\/span><\/h2>\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\u0623\u0639\u0645\u062f\u0629 \u0641\u064a \u0645\u0648\u0627\u0636\u0639 \u0627\u0644\u0641\u0647\u0631\u0633 0 \u06483 \u06484 \u0645\u0646 DataFrame:<\/span><\/p>\n
 #drop columns by index range\n<\/span>df. drop<\/span> (columns= df.columns<\/span> [1:4], inplace= True<\/span> )\n\n#view updated Dataframe\n<\/span>print<\/span> (df)\n\n  team steals\n0 to 4\n1 B 5\n2 C 10\n3 D 12\n4 E 4\n5 F 8\n6 G 7\n7 A.M. 2<\/strong><\/pre>\n
 \u0644\u0627\u062d\u0638 \u0623\u0646 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 df.columns[1:4]<\/strong> \u064a\u062d\u062f\u062f \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0641\u064a \u0645\u0648\u0627\u0636\u0639 \u0627\u0644\u0641\u0647\u0631\u0633 \u0645\u0646 1 \u0625\u0644\u0649<\/em> 4.<\/span><\/p>\n
 \u0644\u0630\u0627 \u0641\u0625\u0646 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0647\u0630\u0627 \u064a\u0632\u064a\u0644 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0627\u0644\u0645\u0648\u062c\u0648\u062f\u0629 \u0641\u064a \u0645\u0648\u0627\u0636\u0639 \u0627\u0644\u0641\u0647\u0631\u0633 1 \u06482 \u06483.<\/span><\/p>\n
 \u0645\u0644\u0627\u062d\u0638\u0629<\/strong> : \u064a\u0645\u0643\u0646\u0643 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0627\u0644\u0648\u062b\u0627\u0626\u0642 \u0627\u0644\u0643\u0627\u0645\u0644\u0629 \u0644\u0648\u0638\u064a\u0641\u0629 pandas drop()<\/strong> \u0647\u0646\u0627<\/a> .<\/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\u0645\u0647\u0627\u0645 \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 \u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0630\u0627\u062a \u0642\u064a\u0645 NaN<\/a>
 \u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u063a\u064a\u0631 \u0627\u0644\u0645\u0648\u062c\u0648\u062f\u0629 \u0641\u064a \u0627\u0644\u0642\u0627\u0626\u0645\u0629<\/a>
 \u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u0625\u0632\u0627\u0644\u0629 \u062c\u0645\u064a\u0639 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0628\u0627\u0633\u062a\u062b\u0646\u0627\u0621 \u0623\u0639\u0645\u062f\u0629 \u0645\u062d\u062f\u062f\u0629<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u064a\u0645\u0643\u0646\u0643 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0637\u0631\u0642 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0644\u0625\u0632\u0627\u0644\u0629 \u0623\u0639\u0645\u062f\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u0645\u0646 pandas DataFrame: \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u0623\u0648\u0644\u0649: \u0625\u0632\u0627\u0644\u0629 \u0623\u0639\u0645\u062f\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u0628\u0627\u0644\u0627\u0633\u0645 df. drop (columns=[‘ col1 ‘, ‘ col2 ‘, ‘ col4 ‘], inplace= True ) \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0646\u064a\u0629: \u0625\u0632\u0627\u0644\u0629 \u0627\u0644\u0623\u0639\u0645\u062f\u0629 \u0627\u0644\u0645\u0648\u062c\u0648\u062f\u0629 \u0641\u064a \u0627\u0644\u0646\u0637\u0627\u0642 \u062d\u0633\u0628 \u0627\u0644\u0627\u0633\u0645 df. drop (columns= df.loc [:, ‘ col1 ‘:’ col4 ‘], inplace= True ) \u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062b\u0627\u0644\u062b\u0629: \u0625\u0633\u0642\u0627\u0637 […]<\/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 \u0623\u0639\u0645\u062f\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627 (4 \u0637\u0631\u0642) - 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 \u062d\u0630\u0641 \u0623\u0639\u0645\u062f\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u0645\u0646 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, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/ar\/\u0627\u0644\u0628\u0627\u0646\u062f\u0627-\u062a\u0633\u0642\u0637-\u0627\u0654\u0639\u0645\u062f\u0629-\u0645\u062a\u0639\u062f\u062f\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 \u062d\u0630\u0641 \u0623\u0639\u0645\u062f\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627 (4 \u0637\u0631\u0642) - 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