{"id":4153,"date":"2023-07-13T06:00:11","date_gmt":"2023-07-13T06:00:11","guid":{"rendered":"https:\/\/statorials.org\/tr\/her-sutun-icin-pandalarin-histogrami\/"},"modified":"2023-07-13T06:00:11","modified_gmt":"2023-07-13T06:00:11","slug":"her-sutun-icin-pandalarin-histogrami","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/her-sutun-icin-pandalarin-histogrami\/","title":{"rendered":"Pandalar: dataframe'deki her s\u00fctun i\u00e7in bir histogram olu\u015fturun"},"content":{"rendered":"

<\/p>\n

\n

Bir panda DataFrame’in her s\u00fctunu i\u00e7in bir histogram olu\u015fturmak amac\u0131yla a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz:<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\nimport<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#define number of subplots<\/span>\nfig, axis = plt. subplots<\/span> (1, 3)<\/span>\n\n#create histogram for each column in DataFrame\n<\/span>df. hist<\/span> (ax=axis)\n<\/strong><\/pre>\n
 Bu \u00f6zel \u00f6rnek, DataFrame’de 3<\/strong> s\u00fctun oldu\u011funu belirtmek i\u00e7in subplots()<\/strong> i\u015flevini kullan\u0131r ve ard\u0131ndan her s\u00fctun i\u00e7in bir histogram olu\u015fturur.<\/span><\/p>\n
 A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n
 \u00d6rnek: Pandas histogram\u0131ndaki her s\u00fctun i\u00e7in bir histogram olu\u015fturun<\/strong><\/span><\/h2>\n
 \u00dc\u00e7 s\u00fctun i\u00e7eren a\u015fa\u011f\u0131daki panda DataFrame’e sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\nimport<\/span> numpy as<\/span> np\n\n#make this example reproducible\n<\/span>n.p. random<\/span> . seeds<\/span> (1)\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' points<\/span> ': np. random<\/span> . normal<\/span> (loc=20, scale=2, size=300),\n                   ' assists<\/span> ': np. random<\/span> . normal<\/span> (loc=14, scale=3, size=300),\n                   ' rebounds<\/span> ': np. random<\/span> . normal<\/span> (loc=12, scale=1, size=300)})\n\n#view head of DataFrame\n<\/span>print<\/span> ( df.head<\/span> ())\n\n      points assists rebounds\n0 23.248691 20.197350 10.927036\n1 18.776487 9.586529 12.495159\n2 18.943656 11.509484 11.047938\n3 17.854063 11.358267 11.481854\n4 21.730815 13.162707 10.538596\n<\/span><\/span><\/strong><\/pre>\n
 DataFrame’in \u00fc\u00e7 s\u00fctununun her biri i\u00e7in bir histogram olu\u015fturmak amac\u0131yla a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span><\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt<\/span>\n\n#define format for subplots (1 row and 3 columns)\n<\/span>fig, axis = plt. subplots<\/span> (1, 3)\n\n#create histogram for each column in DataFrame\n<\/span>df. hist<\/span> (ax=axis)\n<\/span><\/span><\/strong><\/pre>\n
\"\"<\/p>\n
 Sonu\u00e7, DataFrame’in her s\u00fctunu i\u00e7in bir histogram g\u00f6r\u00fcnt\u00fcleyen, bir sat\u0131r ve \u00fc\u00e7 s\u00fctundan olu\u015fan bir \u0131zgarad\u0131r.<\/span><\/p>\n
 \u0130sterseniz histogramlar\u0131n g\u00f6r\u00fcn\u00fcm\u00fcn\u00fc iyile\u015ftirmek i\u00e7in histogramlar\u0131n boyutunu de\u011fi\u015ftirmek i\u00e7in figsize<\/strong> arg\u00fcman\u0131n\u0131n yan\u0131 s\u0131ra edgecolor<\/strong> ve grid<\/strong> arg\u00fcmanlar\u0131n\u0131 da kullanabilirsiniz:<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt \n\n#define format for subplots\n<\/span>fig, axis = plt. subplots<\/span> (1, 3, figsize=(8,3))\n\n#create histogram for each column in DataFrame\n<\/span>df. hist<\/span> (ax=axis, edgecolor=' black<\/span> ', grid= False<\/span> )<\/span><\/span><\/strong> <\/pre>\n
\"pandalar<\/p>\n
 Histogramlar\u0131n tam format\u0131n\u0131 ve boyutunu tan\u0131mlamak i\u00e7in subplots()<\/strong> fonksiyonunun arg\u00fcmanlar\u0131yla oynamaktan \u00e7ekinmeyin.<\/span><\/p>\n
 Ek kaynaklar<\/strong><\/span><\/h2>\n
 A\u015fa\u011f\u0131daki e\u011fitimlerde pandalarda di\u011fer ortak g\u00f6revlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n
 Panda’n\u0131n histogram\u0131nda kullan\u0131lan kutu say\u0131s\u0131 nas\u0131l de\u011fi\u015ftirilir?<\/a>
 Pandalar histogram\u0131nda X ekseni aral\u0131\u011f\u0131 nas\u0131l de\u011fi\u015ftirilir?<\/a>
 Pandalarda histogramlar gruba g\u00f6re nas\u0131l \u00e7izilir?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Bir panda DataFrame’in her s\u00fctunu i\u00e7in bir histogram olu\u015fturmak amac\u0131yla a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz: import pandas as pd import matplotlib. pyplot as plt #define number of subplots fig, axis = plt. subplots (1, 3) #create histogram for each column in DataFrame df. hist (ax=axis) Bu \u00f6zel \u00f6rnek, DataFrame’de 3 s\u00fctun oldu\u011funu belirtmek i\u00e7in subplots() i\u015flevini […]<\/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-4153","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\nPandalar: DataFrame'deki her s\u00fctun i\u00e7in bir histogram olu\u015fturun - Statorials<\/title>\n<meta name=\"description\" content=\"Bu e\u011fitimde, bir pandas DataFrame'deki her s\u00fctun i\u00e7in bir histogram\u0131n nas\u0131l olu\u015fturulaca\u011f\u0131 bir \u00f6rnekle 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\/her-sutun-icin-pandalarin-histogrami\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandalar: DataFrame'deki her s\u00fctun i\u00e7in bir histogram olu\u015fturun - 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