{"id":2923,"date":"2023-07-20T01:55:54","date_gmt":"2023-07-20T01:55:54","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d9%85%d8%ac%d9%85%d9%88%d8%b9%d8%a9-%d9%85%d9%88%d9%94%d8%a7%d9%85%d8%b1%d8%a9-%d8%b4%d8%b1%d9%8a%d8%b7\/"},"modified":"2023-07-20T01:55:54","modified_gmt":"2023-07-20T01:55:54","slug":"%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d9%85%d8%ac%d9%85%d9%88%d8%b9%d8%a9-%d9%85%d9%88%d9%94%d8%a7%d9%85%d8%b1%d8%a9-%d8%b4%d8%b1%d9%8a%d8%b7","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a8%d8%a7%d9%86%d8%af%d8%a7-%d9%85%d8%ac%d9%85%d9%88%d8%b9%d8%a9-%d9%85%d9%88%d9%94%d8%a7%d9%85%d8%b1%d8%a9-%d8%b4%d8%b1%d9%8a%d8%b7\/","title":{"rendered":"\u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 \u0642\u0637\u0639\u0629 \u0623\u0631\u0636 \u0634\u0631\u064a\u0637\u064a\u0629 \u0645\u0646 groupby"},"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\u0646\u0634\u0627\u0621 \u0645\u062e\u0637\u0637 \u0634\u0631\u064a\u0637\u064a \u0645\u0646 \u062f\u0627\u0644\u0629 GroupBy \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627:<\/span><\/p>\n

 #calculate sum of values by group<\/span>\ndf_groups = df. groupby<\/span> ([' group_var<\/span> '])[' values_var<\/span> ']. sum<\/span> ()\n\n#create bar plot by group<\/span>\ndf_groups. plot<\/span> (kind=' bar<\/span> ')<\/strong>\n<\/pre>\n
 \u064a\u0648\u0636\u062d \u0627\u0644\u0645\u062b\u0627\u0644 \u0627\u0644\u062a\u0627\u0644\u064a \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0647\u0630\u0627 \u0639\u0645\u0644\u064a\u064b\u0627.<\/span><\/p>\n
 \u0645\u062b\u0627\u0644: \u0625\u0646\u0634\u0627\u0621 \u0645\u062e\u0637\u0637 \u0634\u0631\u064a\u0637\u064a \u0645\u0646 GroupBy \u0641\u064a Pandas<\/strong><\/span><\/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 \u0627\u0644\u0630\u064a \u064a\u0639\u0631\u0636 \u0627\u0644\u0646\u0642\u0627\u0637 \u0627\u0644\u062a\u064a \u0633\u062c\u0644\u0647\u0627 \u0644\u0627\u0639\u0628\u0648 \u0643\u0631\u0629 \u0627\u0644\u0633\u0644\u0629 \u0645\u0646 \u0641\u0631\u0642 \u0645\u062e\u062a\u0644\u0641\u0629:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'A', 'A', 'A',\n                            'B', 'B', 'B', 'B', 'B',\n                            'C', 'C', 'C', 'C', 'C'],\n                   ' points<\/span> ': [12, 29, 34, 14, 10, 11, 7, 36,\n                              34, 22, 41, 40, 45, 36, 38]})\n\n#view first five rows of DataFrame\n<\/span>df. head<\/span> ()\n\n\tteam points\n0 to 12\n1 to 29\n2 to 34\n3 to 14\n4 to 10<\/span><\/span><\/strong><\/pre>\n
 \u064a\u0645\u0643\u0646\u0646\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0635\u064a\u063a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0644\u062d\u0633\u0627\u0628 \u0645\u062c\u0645\u0648\u0639 \u0627\u0644\u0646\u0642\u0627\u0637 \u0627\u0644\u062a\u064a \u0633\u062c\u0644\u0647\u0627 \u0643\u0644 \u0641\u0631\u064a\u0642 \u0648\u0625\u0646\u0634\u0627\u0621 \u0645\u062e\u0637\u0637 \u0634\u0631\u064a\u0637\u064a \u0644\u062a\u0635\u0648\u0631 \u0645\u062c\u0645\u0648\u0639 \u0643\u0644 \u0641\u0631\u064a\u0642:<\/span><\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt<\/span>\n\n#calculate sum of points for each team\ndf. groupby<\/span> (' team<\/span> ')[' points<\/span> ']. sum<\/span> ()\n\n<\/span>#create bar plot by group\ndf_groups. plot<\/span> (kind=' bar<\/span> ')\n<\/span><\/span><\/strong><\/pre>\n
\"\"<\/p>\n
 \u064a\u064f\u0638\u0647\u0631 \u0627\u0644\u0645\u062d\u0648\u0631 \u0627\u0644\u0633\u064a\u0646\u064a \u0627\u0633\u0645 \u0643\u0644 \u0641\u0631\u064a\u0642\u060c \u0628\u064a\u0646\u0645\u0627 \u064a\u064f\u0638\u0647\u0631 \u0627\u0644\u0645\u062d\u0648\u0631 \u0627\u0644\u0635\u0627\u062f\u064a \u0645\u062c\u0645\u0648\u0639 \u0627\u0644\u0646\u0642\u0627\u0637 \u0627\u0644\u062a\u064a \u0633\u062c\u0644\u0647\u0627 \u0643\u0644 \u0641\u0631\u064a\u0642.<\/span><\/p>\n
 \u064a\u0645\u0643\u0646\u0646\u0627 \u0623\u064a\u0636\u064b\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0643\u0648\u062f \u0627\u0644\u062a\u0627\u0644\u064a \u0644\u062c\u0639\u0644 \u0627\u0644\u062d\u0628\u0643\u0629 \u0623\u0641\u0636\u0644 \u0642\u0644\u064a\u0644\u0627\u064b:<\/span> <\/p>\n
 import<\/span> matplotlib.<\/span> pyplot<\/span> as<\/span> plt\n\n<\/span>#calculate sum of points for each team\n<\/span>df_groups = df.<\/span> groupby<\/span> (['<\/span> team<\/span> '])['<\/span> points<\/span> '].<\/span> sum<\/span> ()\n\n<\/span>#create bar plot with custom<\/span> aesthetics<\/span><\/span>\ndf_groups.<\/span> plot<\/span> (kind='<\/span> bar<\/span> ', title='<\/span> Total Points by Team<\/span> ',\n               ylabel='<\/span> Total Points<\/span> ' ,<\/span> xlabel='<\/span> Team<\/span> ', figsize=(<\/span> 10,6<\/span> )<\/span> )<\/span>\n\n<\/span>#rotate x-axis ticks vertically\n<\/span>plt.<\/span> xticks<\/span> (rotation=<\/span> 0<\/span> )<\/span><\/strong>\n<\/b><\/span><\/pre>\n
\"\u0645\u062c\u0645\u0648\u0639\u0629<\/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 GroupBy<\/strong> \u0647\u0646\u0627<\/a> .<\/span><\/p>\n
 \u0645\u0635\u0627\u062f\u0631 \u0625\u0636\u0627\u0641\u064a\u0629<\/strong><\/span><\/h3>\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
 \u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0641\u0631\u064a\u062f\u0629 \u062d\u0633\u0628 \u0627\u0644\u0645\u062c\u0645\u0648\u0639\u0629<\/a>
 \u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0627\u0644\u0648\u0636\u0639 \u062d\u0633\u0628 \u0627\u0644\u0645\u062c\u0645\u0648\u0639\u0629<\/a>
 \u0627\u0644\u0628\u0627\u0646\u062f\u0627: \u0643\u064a\u0641\u064a\u0629 \u062d\u0633\u0627\u0628 \u0627\u0644\u0627\u0631\u062a\u0628\u0627\u0637 \u062d\u0633\u0628 \u0627\u0644\u0645\u062c\u0645\u0648\u0639\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\u0625\u0646\u0634\u0627\u0621 \u0645\u062e\u0637\u0637 \u0634\u0631\u064a\u0637\u064a \u0645\u0646 \u062f\u0627\u0644\u0629 GroupBy \u0641\u064a \u0627\u0644\u0628\u0627\u0646\u062f\u0627: #calculate sum of values by group df_groups = df. groupby ([‘ group_var ‘])[‘ values_var ‘]. sum () #create bar plot by group df_groups. plot (kind=’ bar ‘) \u064a\u0648\u0636\u062d \u0627\u0644\u0645\u062b\u0627\u0644 \u0627\u0644\u062a\u0627\u0644\u064a \u0643\u064a\u0641\u064a\u0629 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0628\u0646\u0627\u0621 \u0627\u0644\u062c\u0645\u0644\u0629 \u0647\u0630\u0627 \u0639\u0645\u0644\u064a\u064b\u0627. \u0645\u062b\u0627\u0644: \u0625\u0646\u0634\u0627\u0621 \u0645\u062e\u0637\u0637 \u0634\u0631\u064a\u0637\u064a \u0645\u0646 GroupBy […]<\/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 \u0625\u0646\u0634\u0627\u0621 \u0645\u062e\u0637\u0637 \u0634\u0631\u064a\u0637\u064a \u0645\u0646 GroupBy - 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