{"id":3269,"date":"2023-07-18T09:01:26","date_gmt":"2023-07-18T09:01:26","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d9%86%d8%b3%d8%ae-%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\/"},"modified":"2023-07-18T09:01:26","modified_gmt":"2023-07-18T09:01:26","slug":"%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d9%86%d8%b3%d8%ae-%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","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d9%86%d8%b3%d8%ae-%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\/","title":{"rendered":"\u0643\u064a\u0641 (\u0648\u0644\u0645\u0627\u0630\u0627) \u0639\u0645\u0644 \u0646\u0633\u062e\u0629 \u0645\u0646 pandas dataframe"},"content":{"rendered":"

<\/p>\n

\n

\u0641\u064a \u0643\u0644 \u0645\u0631\u0629 \u062a\u0642\u0648\u0645 \u0641\u064a\u0647\u0627 \u0628\u0625\u0646\u0634\u0627\u0621 \u0645\u062c\u0645\u0648\u0639\u0629 \u0641\u0631\u0639\u064a\u0629 \u0645\u0646 DataFrame \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u062b\u0645 \u062a\u0639\u062f\u064a\u0644 \u0627\u0644\u0645\u062c\u0645\u0648\u0639\u0629 \u0627\u0644\u0641\u0631\u0639\u064a\u0629\u060c \u0633\u064a\u062a\u0645 \u0623\u064a\u0636\u064b\u0627 \u062a\u0639\u062f\u064a\u0644 DataFrame \u0627\u0644\u0623\u0635\u0644\u064a.<\/span><\/p>\n

\u0644\u0647\u0630\u0627 \u0627\u0644\u0633\u0628\u0628\u060c \u0645\u0646 \u0627\u0644\u062c\u064a\u062f \u062f\u0627\u0626\u0645\u064b\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 .copy()<\/strong> \u0639\u0646\u062f \u0627\u0644\u0625\u0639\u062f\u0627\u062f \u0627\u0644\u0641\u0631\u0639\u064a \u0628\u062d\u064a\u062b \u0644\u0627 \u064a\u062a\u0645 \u0625\u062c\u0631\u0627\u0621 \u0627\u0644\u062a\u063a\u064a\u064a\u0631\u0627\u062a \u0627\u0644\u062a\u064a \u062a\u062c\u0631\u064a\u0647\u0627 \u0639\u0644\u0649 \u0627\u0644\u0645\u062c\u0645\u0648\u0639\u0629 \u0627\u0644\u0641\u0631\u0639\u064a\u0629 \u0623\u064a\u0636\u064b\u0627 \u0639\u0644\u0649 DataFrame \u0627\u0644\u0623\u0635\u0644\u064a.<\/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 (\u0648\u0644\u0645\u0627\u0630\u0627) \u0639\u0645\u0644 \u0646\u0633\u062e\u0629 \u0645\u0646 pandas DataFrame \u0639\u0646\u062f \u0627\u0644\u0625\u0639\u062f\u0627\u062f \u0627\u0644\u0641\u0631\u0639\u064a.<\/span><\/p>\n

\u0645\u062b\u0627\u0644 1: \u062a\u0639\u064a\u064a\u0646 DataFrame \u0641\u0631\u0639\u064a\u064b\u0627 \u0628\u062f\u0648\u0646 \u0646\u0633\u062e\u0629<\/span><\/strong><\/h2>\n

\u0644\u0646\u0641\u062a\u0631\u0636 \u0623\u0646 \u0644\u062f\u064a\u0646\u0627 DataFrame \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u0627\u0644\u062a\u0627\u0644\u064a\u0629:<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = 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\n#view DataFrame\n<\/span>print<\/span> (df)\n\n  team points assists\n0 to 18 5\n1 B 22 7\n2 C 19 7\n3 D 14 9\n4 E 14 12\n5 F 11 9\n6 G 20 9\n7:28 a.m. 4<\/strong><\/pre>\n
 \u0644\u0646\u0641\u062a\u0631\u0636 \u0627\u0644\u0622\u0646 \u0623\u0646\u0646\u0627 \u0623\u0646\u0634\u0623\u0646\u0627 \u0645\u062c\u0645\u0648\u0639\u0629 \u0641\u0631\u0639\u064a\u0629 \u062a\u062d\u062a\u0648\u064a \u0641\u0642\u0637 \u0639\u0644\u0649 \u0627\u0644\u0635\u0641\u0648\u0641 \u0627\u0644\u0623\u0631\u0628\u0639\u0629 \u0627\u0644\u0623\u0648\u0644\u0649 \u0645\u0646 DataFrame \u0627\u0644\u0623\u0635\u0644\u064a:<\/span><\/span><\/p>\n
 #define subsetted DataFrame\n<\/span>df_subset = df[0:4]\n\n#view subsetted DataFrame\n<\/span>print<\/span> (df_subset)\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<\/strong><\/pre>\n
 \u0625\u0630\u0627 \u0642\u0645\u0646\u0627 \u0628\u062a\u063a\u064a\u064a\u0631 \u0623\u064a \u0645\u0646 \u0627\u0644\u0642\u064a\u0645 \u0641\u064a \u0627\u0644\u0645\u062c\u0645\u0648\u0639\u0629 \u0627\u0644\u0641\u0631\u0639\u064a\u0629\u060c \u0641\u0633\u064a\u062a\u0645 \u0623\u064a\u0636\u064b\u0627 \u062a\u063a\u064a\u064a\u0631 \u0642\u064a\u0645\u0629 DataFrame \u0627\u0644\u0623\u0635\u0644\u064a\u0629:<\/span><\/p>\n
 #change first value in team column\n<\/span>df_subset. team<\/span> [0] = ' X<\/span> '\n\n#view subsetted DataFrame\n<\/span>print<\/span> (df_subset)\n\n  team points assists\n0X18 5\n1 B 22 7\n2 C 19 7\n3 D 14 9\n\n#view original DataFrame\n<\/span>print<\/span> (df)\n\n  team points assists\n0X18 5\n1 B 22 7\n2 C 19 7\n3 D 14 9\n4 E 14 12\n5 F 11 9\n6 G 20 9\n7:28 a.m. 4\n<\/strong><\/span><\/pre>\n
 \u0644\u0627\u062d\u0638 \u0623\u0646\u0647 \u062a\u0645 \u062a\u063a\u064a\u064a\u0631 \u0627\u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0623\u0648\u0644\u0649 \u0644\u0639\u0645\u0648\u062f \u0627\u0644\u0641\u0631\u064a\u0642 \u0645\u0646 “A” \u0625\u0644\u0649 “X” \u0641\u064a \u0643\u0644 \u0645\u0646 \u0645\u062c\u0645\u0648\u0639\u0629 DataFrame \u0627\u0644\u0641\u0631\u0639\u064a\u0629 \u0648<\/strong> DataFrame \u0627\u0644\u0623\u0635\u0644\u064a\u0629.<\/span><\/span><\/p>\n
 \u0648\u0630\u0644\u0643 \u0644\u0623\u0646\u0646\u0627 \u0644\u0645 \u0646\u0635\u0646\u0639 \u0646\u0633\u062e\u0629 \u0645\u0646 DataFrame \u0627\u0644\u0623\u0635\u0644\u064a.<\/span><\/p>\n
 \u0627\u0644\u0645\u062b\u0627\u0644 2: \u0627\u0633\u062a\u0628\u062f\u0627\u0644 DataFrame \u0628\u0627\u0644\u0646\u0633\u062e<\/span><\/strong><\/h2>\n
 \u0644\u0646\u0641\u062a\u0631\u0636 \u0645\u0631\u0629 \u0623\u062e\u0631\u0649 \u0623\u0646 \u0644\u062f\u064a\u0646\u0627 DataFrame \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u0627\u0644\u062a\u0627\u0644\u064a\u0629:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = 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\n#view DataFrame\n<\/span>print<\/span> (df)\n\n  team points assists\n0 to 18 5\n1 B 22 7\n2 C 19 7\n3 D 14 9\n4 E 14 12\n5 F 11 9\n6 G 20 9\n7:28 a.m. 4<\/strong><\/pre>\n
 \u0644\u0646\u0641\u062a\u0631\u0636 \u0645\u0631\u0629 \u0623\u062e\u0631\u0649 \u0623\u0646\u0646\u0627 \u0623\u0646\u0634\u0623\u0646\u0627 \u0645\u062c\u0645\u0648\u0639\u0629 \u0641\u0631\u0639\u064a\u0629 \u062a\u062d\u062a\u0648\u064a \u0641\u0642\u0637 \u0639\u0644\u0649 \u0627\u0644\u0635\u0641\u0648\u0641 \u0627\u0644\u0623\u0631\u0628\u0639\u0629 \u0627\u0644\u0623\u0648\u0644\u0649 \u0645\u0646 DataFrame \u0627\u0644\u0623\u0635\u0644\u064a\u060c \u0648\u0644\u0643\u0646 \u0647\u0630\u0647 \u0627\u0644\u0645\u0631\u0629 \u0646\u0633\u062a\u062e\u062f\u0645 .copy()<\/strong> \u0644\u0639\u0645\u0644 \u0646\u0633\u062e\u0629 \u0645\u0646 DataFrame \u0627\u0644\u0623\u0635\u0644\u064a:<\/span><\/p>\n
 #define subsetted DataFrame\n<\/span>df_subset = df[0:4]. copy<\/span> ()<\/strong><\/pre>\n
 \u0644\u0646\u0641\u062a\u0631\u0636 \u0627\u0644\u0622\u0646 \u0623\u0646\u0646\u0627 \u0642\u0645\u0646\u0627 \u0628\u062a\u063a\u064a\u064a\u0631 \u0627\u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0623\u0648\u0644\u0649 \u0644\u0639\u0645\u0648\u062f \u0627\u0644\u0641\u0631\u064a\u0642 \u0641\u064a \u0645\u062c\u0645\u0648\u0639\u0629 DataFrame \u0627\u0644\u0641\u0631\u0639\u064a\u0629:<\/span><\/p>\n
 #change first value in team column\n<\/span>df_subset. team<\/span> [0] = ' X<\/span> '\n\n#view subsetted DataFrame\n<\/span>print<\/span> (df_subset)\n\n  team points assists\n0X18 5\n1 B 22 7\n2 C 19 7\n3 D 14 9\n\n#view original DataFrame\n<\/span>print<\/span> (df)\n\n  team points assists\n0 to 18 5\n1 B 22 7\n2 C 19 7\n3 D 14 9\n4 E 14 12\n5 F 11 9\n6 G 20 9\n7:28 a.m. 4\n<\/strong><\/span><\/pre>\n
 \u0644\u0627\u062d\u0638 \u0623\u0646\u0647 \u062a\u0645 \u062a\u063a\u064a\u064a\u0631 \u0627\u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0623\u0648\u0644\u0649 \u0644\u0639\u0645\u0648\u062f \u0627\u0644\u0641\u0631\u064a\u0642 \u0645\u0646 “A” \u0625\u0644\u0649 “X” \u0641\u0642\u0637 \u0641\u064a \u0645\u062c\u0645\u0648\u0639\u0629 DataFrame \u0627\u0644\u0641\u0631\u0639\u064a\u0629.<\/span><\/p>\n
 \u064a\u0638\u0644 DataFrame \u0627\u0644\u0623\u0635\u0644\u064a \u0633\u0644\u064a\u0645\u064b\u0627 \u0644\u0623\u0646\u0646\u0627 \u0627\u0633\u062a\u062e\u062f\u0645\u0646\u0627 .copy()<\/strong> \u0644\u0639\u0645\u0644 \u0646\u0633\u062e\u0629 \u0645\u0646\u0647 \u0639\u0646\u062f \u0625\u0646\u0634\u0627\u0621 \u0627\u0644\u0645\u062c\u0645\u0648\u0639\u0629 \u0627\u0644\u0641\u0631\u0639\u064a\u0629.<\/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\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 \u062d\u0630\u0641 \u0627\u0644\u0635\u0641\u0648\u0641 \u0641\u064a Pandas DataFrame \u0628\u0646\u0627\u0621\u064b \u0639\u0644\u0649 \u0627\u0644\u062d\u0627\u0644\u0629<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u062a\u0635\u0641\u064a\u0629 Pandas DataFrame \u0628\u0634\u0631\u0648\u0637 \u0645\u062a\u0639\u062f\u062f\u0629<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0645\u0631\u0634\u062d “NOT IN” \u0641\u064a Pandas DataFrame<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0641\u064a \u0643\u0644 \u0645\u0631\u0629 \u062a\u0642\u0648\u0645 \u0641\u064a\u0647\u0627 \u0628\u0625\u0646\u0634\u0627\u0621 \u0645\u062c\u0645\u0648\u0639\u0629 \u0641\u0631\u0639\u064a\u0629 \u0645\u0646 DataFrame \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u062b\u0645 \u062a\u0639\u062f\u064a\u0644 \u0627\u0644\u0645\u062c\u0645\u0648\u0639\u0629 \u0627\u0644\u0641\u0631\u0639\u064a\u0629\u060c \u0633\u064a\u062a\u0645 \u0623\u064a\u0636\u064b\u0627 \u062a\u0639\u062f\u064a\u0644 DataFrame \u0627\u0644\u0623\u0635\u0644\u064a. \u0644\u0647\u0630\u0627 \u0627\u0644\u0633\u0628\u0628\u060c \u0645\u0646 \u0627\u0644\u062c\u064a\u062f \u062f\u0627\u0626\u0645\u064b\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 .copy() \u0639\u0646\u062f \u0627\u0644\u0625\u0639\u062f\u0627\u062f \u0627\u0644\u0641\u0631\u0639\u064a \u0628\u062d\u064a\u062b \u0644\u0627 \u064a\u062a\u0645 \u0625\u062c\u0631\u0627\u0621 \u0627\u0644\u062a\u063a\u064a\u064a\u0631\u0627\u062a \u0627\u0644\u062a\u064a \u062a\u062c\u0631\u064a\u0647\u0627 \u0639\u0644\u0649 \u0627\u0644\u0645\u062c\u0645\u0648\u0639\u0629 \u0627\u0644\u0641\u0631\u0639\u064a\u0629 \u0623\u064a\u0636\u064b\u0627 \u0639\u0644\u0649 DataFrame \u0627\u0644\u0623\u0635\u0644\u064a. \u062a\u0648\u0636\u062d \u0627\u0644\u0623\u0645\u062b\u0644\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 (\u0648\u0644\u0645\u0627\u0630\u0627) \u0639\u0645\u0644 \u0646\u0633\u062e\u0629 \u0645\u0646 pandas DataFrame \u0639\u0646\u062f […]<\/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 (\u0648\u0644\u0645\u0627\u0630\u0627) \u0639\u0645\u0644 \u0646\u0633\u062e\u0629 \u0645\u0646 Pandas DataFrame - \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 (\u0648\u0644\u0645\u0627\u0630\u0627) \u0639\u0645\u0644 \u0646\u0633\u062e\u0629 \u0645\u0646 pandas DataFrame\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-\u0646\u0633\u062e-\u0627\u0655\u0637\u0627\u0631-\u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a\/\" \/>\n<meta property=\"og:locale\" content=\"az_AZ\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u0643\u064a\u0641 (\u0648\u0644\u0645\u0627\u0630\u0627) \u0639\u0645\u0644 \u0646\u0633\u062e\u0629 \u0645\u0646 Pandas DataFrame - 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