{"id":3609,"date":"2023-07-16T13:48:44","date_gmt":"2023-07-16T13:48:44","guid":{"rendered":"https:\/\/statorials.org\/tr\/panda-serisinin-histogrami\/"},"modified":"2023-07-16T13:48:44","modified_gmt":"2023-07-16T13:48:44","slug":"panda-serisinin-histogrami","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/panda-serisinin-histogrami\/","title":{"rendered":"Pandalar serisinden histogram nas\u0131l olu\u015fturulur"},"content":{"rendered":"

<\/p>\n

\n

Bir panda serisinden histogram olu\u015fturmak i\u00e7in a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz:<\/span><\/p>\n

 my_series. plot<\/span> (kind=' hist<\/span> ')\n<\/strong><\/pre>\n
 A\u015fa\u011f\u0131daki \u00f6rnekler bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir.<\/span><\/p>\n
 Not<\/strong> : \u00c7evrimi\u00e7i bir Python not defteri kullan\u0131yorsan\u0131z ve bu s\u00f6zdizimini kulland\u0131ktan sonra bir histogram g\u00f6rm\u00fcyorsan\u0131z, \u00f6nce \u00e7evrimi\u00e7i olarak %matplotlib’i<\/a> belirtmeniz gerekebilir.<\/span><\/p>\n
 \u00d6rnek 1: Frekans histogram\u0131 olu\u015fturma<\/strong><\/span><\/h2>\n
 A\u015fa\u011f\u0131daki kod, panda serisinden frekans histogram\u0131n\u0131n nas\u0131l olu\u015fturulaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span> <\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createSeries\n<\/span>data = pd. Series<\/span> ([2, 2, 2, 3, 3, 4, 5, 7, 8, 9, 12, 12, 14, 15, 16, 16, 18,\n                    19, 22, 22, 22, 25, 26, 27, 30, 33, 33, 33, 34, 35])\n\n#create histogram from Series\n<\/span>data. plot<\/span> (kind=' hist<\/span> ')\n<\/span><\/span><\/strong><\/pre>\n
\"\"<\/p>\n
 X ekseni pandalar serisinin de\u011ferlerini g\u00f6sterirken, y ekseni her de\u011ferin frekans\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n
 \u00d6rnek 2: Yo\u011funluk histogram\u0131 olu\u015fturma<\/strong><\/span><\/h2>\n
 Bir panda serisinden yo\u011funluk histogram\u0131 olu\u015fturmak i\u00e7in, arsa()<\/strong> fonksiyonunda yo\u011funluk=True de\u011ferini<\/strong> belirtebiliriz:<\/span> <\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createSeries\n<\/span>data = pd. Series<\/span> ([2, 2, 2, 3, 3, 4, 5, 7, 8, 9, 12, 12, 14, 15, 16, 16, 18,\n                    19, 22, 22, 22, 25, 26, 27, 30, 33, 33, 33, 34, 35])\n\n#create histogram from Series\n<\/span>data. plot<\/span> (kind=' hist<\/span> ', density= True<\/span> )<\/span><\/span><\/strong> <\/pre>\n
\"\"<\/p>\n
 X ekseni pandalar serisi de\u011ferlerini, y ekseni ise yo\u011funlu\u011fu g\u00f6sterir.<\/span><\/p>\n
 \u00d6rnek 3: \u00d6zel bir histogram olu\u015fturma<\/strong><\/span><\/h2>\n
 Son olarak histogram \u00e7ubuklar\u0131n\u0131n rengini, kullan\u0131lan kutu say\u0131s\u0131n\u0131, eksen etiketlerini ve \u00e7izim ba\u015fl\u0131\u011f\u0131n\u0131 \u00f6zelle\u015ftirmek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span> <\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createSeries\n<\/span>data = pd. Series<\/span> ([2, 2, 2, 3, 3, 4, 5, 7, 8, 9, 12, 12, 14, 15, 16, 16, 18,\n                    19, 22, 22, 22, 25, 26, 27, 30, 33, 33, 33, 34, 35])\n\n#create histogram with custom color, edgecolor, and number of bins\n<\/span>my_hist = data. plot<\/span> (kind=' hist<\/span> ', color=' red<\/span> ', edgecolor=' black<\/span> ', bins= 20<\/span> )\n\n#add x-axis label\n<\/span>my_hist. set_xlabel<\/span> (' Values<\/span> ')\n\n#add title\n<\/span>my_hist. set_title<\/span> (' Distribution of Values<\/span> ')<\/span><\/span><\/strong> <\/pre>\n
\"\"<\/p>\n
 Ek kaynaklar<\/strong><\/span><\/h2>\n
 A\u015fa\u011f\u0131daki e\u011fitimlerde Python’da di\u011fer ortak grafiklerin nas\u0131l olu\u015fturulaca\u011f\u0131 a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n
 Matplotlib’de birden fazla sat\u0131r nas\u0131l \u00e7izilir<\/a>
 Pandas DataFrame’den kutu grafi\u011fi nas\u0131l olu\u015fturulur<\/a>
 Bir \u00e7ubuk grafikte birden fazla Pandas s\u00fctunu nas\u0131l \u00e7izilir<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Bir panda serisinden histogram olu\u015fturmak i\u00e7in a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz: my_series. plot (kind=’ hist ‘) A\u015fa\u011f\u0131daki \u00f6rnekler bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir. Not : \u00c7evrimi\u00e7i bir Python not defteri kullan\u0131yorsan\u0131z ve bu s\u00f6zdizimini kulland\u0131ktan sonra bir histogram g\u00f6rm\u00fcyorsan\u0131z, \u00f6nce \u00e7evrimi\u00e7i olarak %matplotlib’i belirtmeniz gerekebilir. \u00d6rnek 1: Frekans histogram\u0131 olu\u015fturma A\u015fa\u011f\u0131daki kod, panda serisinden frekans […]<\/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":[],"class_list":["post-3609","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\nPandalar serisinden histogram nas\u0131l olu\u015fturulur - Statorials<\/title>\n<meta name=\"description\" content=\"Bu e\u011fitimde panda serisinden histogram\u0131n nas\u0131l olu\u015fturulaca\u011f\u0131 \u00e7e\u015fitli \u00f6rneklerle a\u00e7\u0131klanmaktad\u0131r.\" \/>\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\/tr\/panda-serisinin-histogrami\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandalar serisinden histogram nas\u0131l olu\u015fturulur - 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