{"id":1363,"date":"2023-07-26T16:51:03","date_gmt":"2023-07-26T16:51:03","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%a7%d9%84%d9%82%d9%8a%d9%85-%d8%a7%d9%84%d9%81%d8%b1%d9%8a%d8%af%d8%a9-%d9%81%d9%8a-%d8%a7%d9%84%d8%b9%d9%85%d9%88%d8%af\/"},"modified":"2023-07-26T16:51:03","modified_gmt":"2023-07-26T16:51:03","slug":"%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d8%a7%d9%84%d9%82%d9%8a%d9%85-%d8%a7%d9%84%d9%81%d8%b1%d9%8a%d8%af%d8%a9-%d9%81%d9%8a-%d8%a7%d9%84%d8%b9%d9%85%d9%88%d8%af","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%84%d9%82%d9%8a%d9%85-%d8%a7%d9%84%d9%81%d8%b1%d9%8a%d8%af%d8%a9-%d9%81%d9%8a-%d8%a7%d9%84%d8%b9%d9%85%d9%88%d8%af\/","title":{"rendered":"\u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0642\u064a\u0645 \u0641\u0631\u064a\u062f\u0629 \u0641\u064a \u0639\u0645\u0648\u062f"},"content":{"rendered":"

<\/p>\n

\n

\u0623\u0633\u0647\u0644 \u0637\u0631\u064a\u0642\u0629 \u0644\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0642\u0627\u0626\u0645\u0629 \u0628\u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0641\u0631\u064a\u062f\u0629 \u0641\u064a \u0639\u0645\u0648\u062f Pandas DataFrame \u0647\u064a \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0648\u0638\u064a\u0641\u0629 \u0627\u0644\u0641\u0631\u064a\u062f\u0629 ()<\/a> .<\/span><\/p>\n

\u064a\u0642\u062f\u0645 \u0647\u0630\u0627 \u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a \u0639\u062f\u0629 \u0623\u0645\u062b\u0644\u0629 \u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0647\u0630\u0647 \u0627\u0644\u0648\u0638\u064a\u0641\u0629 \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\n\n#createDataFrame<\/span>\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'A', 'B', 'B', 'C'],\n                   ' conference<\/span> ': ['East', 'East', 'East', 'West', 'West', 'East'],\n                   ' points<\/span> ': [11, 8, 10, 6, 6, 5]})\n\n#view DataFrame\n<\/span>df\n\n        team conference points\n0 A East 11\n1 A East 8\n2 A East 10\n3 B West 6\n4 B West 6\n5 C East 5<\/strong><\/pre>\n
 \u0627\u0628\u062d\u062b \u0639\u0646 \u0642\u064a\u0645 \u0641\u0631\u064a\u062f\u0629 \u0641\u064a \u0627\u0644\u0639\u0645\u0648\u062f<\/strong><\/span><\/h3>\n
 \u064a\u0648\u0636\u062d \u0627\u0644\u0643\u0648\u062f \u0627\u0644\u062a\u0627\u0644\u064a \u0643\u064a\u0641\u064a\u0629 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0642\u064a\u0645 \u0641\u0631\u064a\u062f\u0629 \u0641\u064a \u0639\u0645\u0648\u062f \u0648\u0627\u062d\u062f \u0645\u0646 DataFrame:<\/span><\/p>\n
 df. team<\/span> . single<\/span> ()\n\narray(['A', 'B', 'C'], dtype=object)<\/strong><\/pre>\n
 \u064a\u0645\u0643\u0646\u0646\u0627 \u0623\u0646 \u0646\u0631\u0649 \u0623\u0646 \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0641\u0631\u064a\u062f\u0629 \u0641\u064a \u0639\u0645\u0648\u062f \u0627\u0644\u0641\u0631\u064a\u0642 \u062a\u0634\u0645\u0644 “A” \u0648”B” \u0648”C”.<\/span><\/p>\n
 \u0627\u0628\u062d\u062b \u0639\u0646 \u0642\u064a\u0645 \u0641\u0631\u064a\u062f\u0629 \u0641\u064a \u062c\u0645\u064a\u0639 \u0627\u0644\u0623\u0639\u0645\u062f\u0629<\/strong><\/span><\/h3>\n
 \u064a\u0648\u0636\u062d \u0627\u0644\u0643\u0648\u062f \u0627\u0644\u062a\u0627\u0644\u064a \u0643\u064a\u0641\u064a\u0629 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0642\u064a\u0645 \u0641\u0631\u064a\u062f\u0629 \u0641\u064a \u062c\u0645\u064a\u0639 \u0623\u0639\u0645\u062f\u0629 DataFrame:<\/span><\/p>\n
 for<\/span> col in<\/span> df:\n  print<\/span> (df[col] .unique<\/span> ())\n\n['A' 'B' 'C']\n['East' 'West']\n[11 8 10 6 5]\n<\/strong><\/pre>\n
 \u0627\u0644\u0628\u062d\u062b \u0639\u0646 \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0641\u0631\u064a\u062f\u0629 \u0648\u0641\u0631\u0632\u0647\u0627 \u0641\u064a \u0639\u0645\u0648\u062f<\/strong><\/span><\/h3>\n
 \u064a\u0648\u0636\u062d \u0627\u0644\u0643\u0648\u062f \u0627\u0644\u062a\u0627\u0644\u064a \u0643\u064a\u0641\u064a\u0629 \u0627\u0644\u0628\u062d\u062b \u0648\u0627\u0644\u0641\u0631\u0632 \u062d\u0633\u0628 \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0641\u0631\u064a\u062f\u0629 \u0641\u064a \u0639\u0645\u0648\u062f \u0648\u0627\u062d\u062f \u0645\u0646 DataFrame:<\/span><\/p>\n
 #find unique points values<\/span>\npoints = df. points<\/span> . single<\/span> ()\n\n#sort values smallest to largest<\/span>\npoints. sort<\/span> ()\n\n#display sorted values<\/span>\npoints\n\narray([ 5, 6, 8, 10, 11])\n<\/strong><\/pre>\n
 \u0627\u0644\u0628\u062d\u062b \u0639\u0646 \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0641\u0631\u064a\u062f\u0629 \u0641\u064a \u0627\u0644\u0639\u0645\u0648\u062f \u0648\u062d\u0633\u0627\u0628\u0647\u0627<\/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 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0648\u062d\u0633\u0627\u0628 \u062d\u062f\u0648\u062b \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0641\u0631\u064a\u062f\u0629 \u0641\u064a \u0639\u0645\u0648\u062f \u0648\u0627\u062d\u062f \u0645\u0646 DataFrame:<\/span><\/p>\n
 df. team<\/span> . value_counts<\/span> ()\n\nAt 3\nB2\nC 1\nName: team, dtype: int64\n<\/strong><\/pre>\n
 \u0645\u0635\u0627\u062f\u0631 \u0625\u0636\u0627\u0641\u064a\u0629<\/strong><\/span><\/h3>\n
 \u0643\u064a\u0641\u064a\u0629 \u062a\u062d\u062f\u064a\u062f \u0635\u0641\u0648\u0641 \u0648\u0627\u062d\u062f\u0629 \u0641\u064a Pandas DataFrame<\/a>
 \u0643\u064a\u0641\u064a\u0629 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0642\u064a\u0645 \u0641\u0631\u064a\u062f\u0629 \u0641\u064a \u0623\u0639\u0645\u062f\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u0641\u064a Pandas<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0623\u0633\u0647\u0644 \u0637\u0631\u064a\u0642\u0629 \u0644\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0642\u0627\u0626\u0645\u0629 \u0628\u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0641\u0631\u064a\u062f\u0629 \u0641\u064a \u0639\u0645\u0648\u062f Pandas DataFrame \u0647\u064a \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0648\u0638\u064a\u0641\u0629 \u0627\u0644\u0641\u0631\u064a\u062f\u0629 () . \u064a\u0642\u062f\u0645 \u0647\u0630\u0627 \u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a \u0639\u062f\u0629 \u0623\u0645\u062b\u0644\u0629 \u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0647\u0630\u0647 \u0627\u0644\u0648\u0638\u064a\u0641\u0629 \u0645\u0639 \u0627\u0644\u0628\u0627\u0646\u062f\u0627 DataFrame \u0627\u0644\u062a\u0627\u0644\u064a\u0629: import pandas as pd #createDataFrame df = pd. DataFrame ({‘ team ‘: [‘A’, ‘A’, ‘A’, ‘B’, ‘B’, ‘C’], ‘ conference ‘: [‘East’, ‘East’, ‘East’, ‘West’, […]<\/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\u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0642\u064a\u0645 \u0641\u0631\u064a\u062f\u0629 \u0641\u064a \u0639\u0645\u0648\u062f \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 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u062c\u0645\u064a\u0639 \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0641\u0631\u064a\u062f\u0629 \u0641\u064a \u0639\u0645\u0648\u062f \u0648\u0627\u062d\u062f \u0623\u0648 \u0623\u0643\u062b\u0631 \u0645\u0646 \u0623\u0639\u0645\u062f\u0629 pandas DataFrame \u0641\u064a Python.\" \/>\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\u0644\u0642\u064a\u0645-\u0627\u0644\u0641\u0631\u064a\u062f\u0629-\u0641\u064a-\u0627\u0644\u0639\u0645\u0648\u062f\/\" \/>\n<meta property=\"og:locale\" content=\"az_AZ\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u0627\u0644\u0639\u062b\u0648\u0631 \u0639\u0644\u0649 \u0642\u064a\u0645 \u0641\u0631\u064a\u062f\u0629 \u0641\u064a \u0639\u0645\u0648\u062f \u2013 \u0627\u0644\u0625\u062d\u0635\u0627\u0626\u064a\u0627\u062a\" \/>\n<meta property=\"og:description\" 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