{"id":3855,"date":"2023-07-15T03:52:31","date_gmt":"2023-07-15T03:52:31","guid":{"rendered":"https:\/\/statorials.org\/tr\/pandalar-kosullu-bicimlendirme\/"},"modified":"2023-07-15T03:52:31","modified_gmt":"2023-07-15T03:52:31","slug":"pandalar-kosullu-bicimlendirme","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/pandalar-kosullu-bicimlendirme\/","title":{"rendered":"Pandalar: h\u00fccrelere ko\u015fullu bi\u00e7imlendirme nas\u0131l uygulan\u0131r"},"content":{"rendered":"

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Pandas DataFrame’deki h\u00fccrelere ko\u015fullu bi\u00e7imlendirme uygulamak i\u00e7in df.style.applymap()<\/b> i\u015flevini kullanabilirsiniz.<\/span><\/p>\n

A\u015fa\u011f\u0131daki \u00f6rnekte bu fonksiyonun pratikte nas\u0131l kullan\u0131laca\u011f\u0131 g\u00f6sterilmektedir.<\/span><\/p>\n

\u00d6rnek: Pandalar’daki H\u00fccrelere Ko\u015fullu Bi\u00e7imlendirme Uygulay\u0131n<\/strong><\/span><\/h2>\n

\u00c7e\u015fitli basketbol oyuncular\u0131 hakk\u0131nda bilgi i\u00e7eren a\u015fa\u011f\u0131daki pandalar DataFrame’e sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd. DataFrame<\/span> ({' points<\/span> ': [18, 22, 19, 14, 14, 11, 20, 28],\n                   ' assists<\/span> ': [4, 5, 5, 4, 9, 12, 11, 8],\n                   ' rebounds<\/span> ': [3, 9, 12, 4, 4, 9, 8, 2]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n   points assists rebounds\n0 18 4 3\n1 22 5 9\n2 19 5 12\n3 14 4 4\n4 14 9 4\n5 11 12 9\n6 20 11 8\n7 28 8 2\n<\/strong><\/pre>\n
 DataFrame’de de\u011feri 10’dan k\u00fc\u00e7\u00fck olan her h\u00fccreye a\u00e7\u0131k ye\u015fil arka plan uygulamak i\u00e7in a\u015fa\u011f\u0131daki kodu kullanabiliriz:<\/span> <\/p>\n
 #define function for conditional formatting\n<\/span>def<\/span> cond_formatting<\/span> (x):\n    if<\/span> x < 10<\/span> :\n        return<\/span> ' background-color: lightgreen<\/span> '\n    else<\/span> :\n        return<\/span> None<\/span>\n    \n#display DataFrame with conditional formatting applied    \n<\/span>df. style<\/span> . applymap<\/span> (cond_formatting)<\/span>\n<\/span><\/strong><\/pre>\n
\"panda<\/p>\n
 DataFrame’deki de\u011feri 10’dan k\u00fc\u00e7\u00fck olan her h\u00fccrenin art\u0131k a\u00e7\u0131k ye\u015fil bir arka plana sahip oldu\u011funu unutmay\u0131n.<\/span><\/p>\n
 Not<\/strong> : Jupyter not defterinde ko\u015fullu bi\u00e7imlendirme \u00e7al\u0131\u015fm\u0131yorsa, \u00f6nce %pip install Jinja2<\/strong> komutunu \u00e7al\u0131\u015ft\u0131rd\u0131\u011f\u0131n\u0131zdan emin olun.<\/span><\/p>\n
 Daha karma\u015f\u0131k ko\u015fullu bi\u00e7imlendirmeyi uygulamak i\u00e7in renk<\/strong> ve yaz\u0131 tipi a\u011f\u0131rl\u0131\u011f\u0131<\/strong> ba\u011f\u0131ms\u0131z de\u011fi\u015fkenlerini de kullanabiliriz.<\/span><\/p>\n
 A\u015fa\u011f\u0131daki \u00f6rnek bunun nas\u0131l yap\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span> <\/p>\n
 #define function for conditional formatting\n<\/span>def<\/span> cond_formatting<\/span> (x):\n    if<\/span> x < 10<\/span> :\n        return<\/span> ' background-color: lightgreen; color:red; font-weight:bold<\/span> '\n    elif<\/span> x < 15<\/span> :\n        return<\/span> ' background-color:yellow<\/span> '\n    else<\/span> :<\/span>\n        return None<\/span>\n    \n#display DataFrame with conditional formatting applied    \n<\/span>df. style<\/span> . applymap<\/span> (cond_formatting)<\/span><\/span><\/strong> <\/pre>\n
\"pandalar<\/p>\n
 Bu \u00f6rnekte ko\u015fullu bi\u00e7imlendirme i\u015flevi \u015fu \u015fekilde \u00e7al\u0131\u015ft\u0131:<\/span><\/p>\n