Y\u00f6ntem 1: Seaborn’da bir \u00e7izginin rengini de\u011fi\u015ftirme<\/strong><\/span><\/p>\n Tek \u00e7izgiyle do\u011frusal bir \u00e7izim olu\u015ftururken rengi belirtmek i\u00e7in renk<\/strong> ba\u011f\u0131ms\u0131z de\u011fi\u015fkenini kullanabilirsiniz:<\/span><\/p>\n Y\u00f6ntem 2: Seaborn’da birden \u00e7ok \u00e7izginin rengini de\u011fi\u015ftirme<\/strong><\/span><\/p>\n Birden \u00e7ok \u00e7izgiye sahip do\u011frusal bir yol olu\u015ftururken birden \u00e7ok renk belirtmek i\u00e7in palet<\/b> ba\u011f\u0131ms\u0131z de\u011fi\u015fkenini kullanabilirsiniz:<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler her y\u00f6ntemin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir.<\/span><\/p>\n Bir perakende ma\u011fazas\u0131nda art arda on g\u00fcn boyunca yap\u0131lan sat\u0131\u015flarla ilgili bilgileri i\u00e7eren a\u015fa\u011f\u0131daki panda DataFrame’e sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n Belirli bir renkle bir \u00e7izgi grafi\u011fi olu\u015fturmak i\u00e7in lineplot()<\/strong> i\u015flevindeki renk<\/strong> arg\u00fcman\u0131n\u0131 kullanabiliriz:<\/span> <\/p>\n Grafikteki \u00e7izginin rengi , renk<\/strong> arg\u00fcman\u0131n\u0131 kullanarak belirtti\u011fimiz “k\u0131rm\u0131z\u0131”d\u0131r.<\/span><\/p>\n Ayr\u0131ca renk<\/strong> arg\u00fcman\u0131na onalt\u0131l\u0131k renk kodlar\u0131 sa\u011flayabilece\u011fimizi de unutmay\u0131n:<\/span> <\/p>\n \u0130ki farkl\u0131 perakende ma\u011fazas\u0131nda art arda be\u015f g\u00fcn boyunca yap\u0131lan sat\u0131\u015flarla ilgili bilgileri i\u00e7eren a\u015fa\u011f\u0131daki panda DataFrame’e sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n Birka\u00e7 spesifik renk i\u00e7eren bir \u00e7izgi grafi\u011fi olu\u015fturmak i\u00e7in lineplot()<\/strong> i\u015flevindeki palet<\/b> arg\u00fcman\u0131n\u0131 kullanabiliriz:<\/span> <\/p>\n Sat\u0131rlar\u0131n renkleri palet<\/strong> arg\u00fcman\u0131n\u0131 kullanarak belirledi\u011fimiz renklere kar\u015f\u0131l\u0131k gelir.<\/span><\/p>\n Ayr\u0131ca palet<\/strong> ba\u011f\u0131ms\u0131z de\u011fi\u015fkenine onalt\u0131l\u0131k renk kodlar\u0131 da sa\u011flayabilece\u011finizi unutmay\u0131n.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimler Seaborn’da di\u011fer genel g\u00f6revlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fini a\u00e7\u0131klamaktad\u0131r:<\/span><\/p>\n Seaborn’da \u00e7izgi kal\u0131nl\u0131\u011f\u0131 nas\u0131l ayarlan\u0131r?<\/a> Deniz \u00e7izimindeki \u00e7izgi renklerini de\u011fi\u015ftirmek i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemleri kullanabilirsiniz: Y\u00f6ntem 1: Seaborn’da bir \u00e7izginin rengini de\u011fi\u015ftirme Tek \u00e7izgiyle do\u011frusal bir \u00e7izim olu\u015ftururken rengi belirtmek i\u00e7in renk ba\u011f\u0131ms\u0131z de\u011fi\u015fkenini kullanabilirsiniz: sns. lineplot (data=df, x=’ x_var ‘, y=’ y_var ‘, color=’ red ‘) Y\u00f6ntem 2: Seaborn’da birden \u00e7ok \u00e7izginin rengini de\u011fi\u015ftirme Birden \u00e7ok \u00e7izgiye sahip do\u011frusal bir […]<\/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-4006","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n sns. lineplot<\/span> (data=df, x=' x_var<\/span> ', y=' y_var<\/span> ', color=' red<\/span> ')\n<\/b><\/pre>\n sns. lineplot<\/span> (data=df, x=' x_var<\/span> ', y=' y_var<\/span> ', hue=' group_var<\/span> ', palette=[' red<\/span> ', ' blue<\/span> '])<\/b><\/pre>\n \u00d6rnek 1: Seaborn’da bir \u00e7izginin rengini de\u011fi\u015ftirme<\/strong><\/span><\/h2>\n
import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' day<\/span> ': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],\n ' sales<\/span> ': [3, 3, 5, 4, 5, 6, 8, 9, 14, 18]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n day sales\n0 1 3\n1 2 3\n2 3 5\n3 4 4\n4 5 5\n5 6 6\n6 7 8\n7 8 9\n8 9 14\n9 10 18<\/span><\/span><\/strong><\/pre>\n import<\/span> seaborn as<\/span> sns\n\n#create lineplot with red line to show sales by day\n<\/span>sns. lineplot<\/span> (data=df, x=' day<\/span> ', y=' sales<\/span> ', color=' red<\/span> ')<\/b>\n<\/strong><\/pre>\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/ligne-de-couleur1.jpg\")
<\/p>\n import<\/span> seaborn as<\/span> sns\n\n#create lineplot with teal line to show sales by day\n<\/span>sns. lineplot<\/span> (data=df, x=' day<\/span> ', y=' sales<\/span> ', color=' #028ca1<\/span> ')<\/b><\/strong> <\/pre>\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/ligne-de-couleur2.jpg\")
<\/p>\n \u00d6rnek 2: Seaborn’da birden \u00e7ok \u00e7izginin rengini de\u011fi\u015ftirme<\/strong><\/span><\/h2>\n
import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd. DataFrame<\/span> ({' day<\/span> ': [1, 2, 3, 4, 5, 1, 2, 3, 4, 5],\n ' store<\/span> ': ['A', 'A', 'A', 'A', 'A',\n 'B', 'B', 'B', 'B', 'B'],\n ' sales<\/span> ': [3, 3, 5, 4, 7, 6, 8, 9, 12, 13]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n day store sales\n0 1 To 3\n1 2 To 3\n2 3 To 5\n3 4 A 4\n4 5 A 7\n5 1 B 6\n6 2 B 8\n7 3 B 9\n8 4 B 12\n9 5 B 13\n<\/span><\/span><\/strong><\/pre>\n import<\/span> seaborn as<\/span> sns\n\n#create lineplot with red and blue lines to show sales by day by store\n<\/span>sns. lineplot<\/span> (data=df, x=' day<\/span> ', y=' sales<\/span> ', hue=' store<\/span> ', palette=[' red<\/span> ', ' blue<\/span> '])<\/b>\n<\/strong><\/pre>\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/ligne-de-couleur3.jpg\")
<\/p>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
Seaborn’da birden fazla \u00e7izgi nas\u0131l \u00e7izilir<\/a>
Seaborn’da bir efsanenin konumu nas\u0131l de\u011fi\u015ftirilir?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"