{"id":143,"date":"2023-08-15T21:21:41","date_gmt":"2023-08-15T18:21:41","guid":{"rendered":"https:\/\/www.facadium.com.tr\/blog\/?p=143"},"modified":"2023-08-31T17:05:21","modified_gmt":"2023-08-31T14:05:21","slug":"seaborn-paketi","status":"publish","type":"post","link":"https:\/\/www.facadium.com.tr\/blog\/seaborn-paketi\/","title":{"rendered":"Seaborn Paketi Nedir?"},"content":{"rendered":"\n

Bu yaz\u0131, size Seaborn K\u00fct\u00fcphanesi<\/strong> hakk\u0131nda bilgi verecektir.<\/p>\n\n\n\n

\n\n\n\n

Seaborn, Python programlama dilinde veri g\u00f6rselle\u015ftirme i\u00e7in kullan\u0131lan bir k\u00fct\u00fcphanedir. Seaborn, Matplotlib k\u00fct\u00fcphanesi \u00fczerine kurulmu\u015ftur ve daha y\u00fcksek d\u00fczeyde bir aray\u00fcz sunar. Bu makalede, Seaborn k\u00fct\u00fcphanesi hakk\u0131nda genel bir bak\u0131\u015f sunaca\u011f\u0131z ve \u00f6zelliklerine daha ayr\u0131nt\u0131l\u0131 bir \u015fekilde de\u011finece\u011fiz.<\/p>\n\n\n\n

Seaborn K\u00fct\u00fcphanesi Nedir?<\/strong><\/p>\n\n\n\n

Seaborn, Matplotlib k\u00fct\u00fcphanesi \u00fczerine in\u015fa edilen bir veri g\u00f6rselle\u015ftirme k\u00fct\u00fcphanesidir. Seaborn, Matplotlib\u2019in sundu\u011fu temel grafik i\u015flevlerine ek olarak, \u00f6nceden olu\u015fturulmu\u015f stiller ve rengin se\u00e7imi, grafik nesnelerinin ayarlar\u0131 ve daha bir\u00e7ok \u00f6zellik sunar. Seaborn, \u00f6zellikle istatistiksel grafikler olu\u015fturmak i\u00e7in kullan\u0131l\u0131r ve veri g\u00f6rselle\u015ftirme i\u00e7in bir\u00e7ok yararl\u0131 \u00f6zellik sunar.<\/p>\n\n\n\n

Seaborn K\u00fct\u00fcphanesi \u00d6zellikleri<\/strong><\/p>\n\n\n\n

Seaborn k\u00fct\u00fcphanesi, veri g\u00f6rselle\u015ftirme i\u00e7in bir\u00e7ok \u00f6zellik sunar. \u0130\u015fte Seaborn\u2019un en s\u0131k kullan\u0131lan \u00f6zelliklerinden baz\u0131lar\u0131:<\/p>\n\n\n\n

Veri Seti Y\u00fckleme<\/strong><\/p>\n\n\n\n

Seaborn k\u00fct\u00fcphanesi, \u00e7e\u015fitli veri setlerini y\u00fcklemek i\u00e7in bir\u00e7ok fonksiyon sa\u011flar. Bu veri setleri, Seaborn k\u00fct\u00fcphanesinin \u00f6zelliklerini g\u00f6stermek i\u00e7in kullan\u0131labilir. \u00d6rne\u011fin, iris veri seti, s\u0131k kullan\u0131lan bir veri setidir ve Seaborn k\u00fct\u00fcphanesi ile birlikte gelir.<\/p>\n\n\n\n

import seaborn as sns\n\n# Iris veri seti y\u00fckleme\niris = sns.load_dataset(\"iris\")\n\n# \u0130lk 5 sat\u0131r\u0131 g\u00f6r\u00fcnt\u00fcleme\nprint(iris.head())<\/code><\/pre>\n\n\n\n
Veri G\u00f6rselle\u015ftirme<\/strong><\/p>\n\n\n\n
Seaborn k\u00fct\u00fcphanesi, bir\u00e7ok g\u00f6rselle\u015ftirme i\u015flevi sa\u011flar. Seaborn ile basit\u00e7e g\u00f6rselle\u015ftirebilece\u011finiz baz\u0131 \u00f6zellikler:<\/p>\n\n\n\n
    \n
  1. Histogramlar<\/li>\n\n\n\n
  2. Yo\u011funluk Grafikleri<\/li>\n\n\n\n
  3. \u00c7izgi Grafikleri<\/li>\n\n\n\n
  4. Kutu Grafikleri<\/li>\n\n\n\n
  5. Is\u0131 Haritalar\u0131<\/li>\n\n\n\n
  6. Scatterplotlar<\/li>\n\n\n\n
  7. FacetGrid\u2019ler<\/li>\n<\/ol>\n\n\n\n
    import seaborn as sns\nimport matplotlib.pyplot as plt\n\n# \u0130ris veri setini y\u00fckleme\niris = sns.load_dataset(\"iris\")\n\n# Yo\u011funluk grafi\u011fi \u00e7izimi\nsns.kdeplot(iris['sepal_length'], shade=True)\n\n# Grafi\u011fi g\u00f6sterme\nplt.show()<\/code><\/pre>\n\n\n\n
    Stiller<\/strong><\/p>\n\n\n\n
    Seaborn, \u00f6nceden tan\u0131mlanm\u0131\u015f birka\u00e7 stil sunar. Bu stiller, grafiklerin g\u00f6r\u00fcn\u00fcm\u00fcn\u00fc de\u011fi\u015ftirmenize olanak tan\u0131r.<\/p>\n\n\n\n
    import seaborn as sns\nimport matplotlib.pyplot as plt\n\n# Stil ayar\u0131\nsns.set_style(\"darkgrid\")\n\n# Veri seti y\u00fckleme\ntips = sns.load_dataset(\"tips\")<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"
    Bu yaz\u0131, size Seaborn K\u00fct\u00fcphanesi hakk\u0131nda bilgi verecektir. Seaborn, Python programlama dilinde veri g\u00f6rselle\u015ftirme i\u00e7in kullan\u0131lan bir k\u00fct\u00fcphanedir. Seaborn, Matplotlib k\u00fct\u00fcphanesi \u00fczerine kurulmu\u015ftur ve daha y\u00fcksek d\u00fczeyde […]<\/p>\n","protected":false},"author":3,"featured_media":445,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5,26],"tags":[28,32,31,34,8,27,29,33,30],"class_list":["post-143","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python","category-seaborn","tag-analiz","tag-data-analysis","tag-data-mining","tag-data-science","tag-python","tag-seaborn","tag-veri-analizi","tag-veri-bilimi","tag-veri-madenciligi"],"_links":{"self":[{"href":"https:\/\/www.facadium.com.tr\/blog\/wp-json\/wp\/v2\/posts\/143","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.facadium.com.tr\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.facadium.com.tr\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.facadium.com.tr\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.facadium.com.tr\/blog\/wp-json\/wp\/v2\/comments?post=143"}],"version-history":[{"count":3,"href":"https:\/\/www.facadium.com.tr\/blog\/wp-json\/wp\/v2\/posts\/143\/revisions"}],"predecessor-version":[{"id":446,"href":"https:\/\/www.facadium.com.tr\/blog\/wp-json\/wp\/v2\/posts\/143\/revisions\/446"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.facadium.com.tr\/blog\/wp-json\/wp\/v2\/media\/445"}],"wp:attachment":[{"href":"https:\/\/www.facadium.com.tr\/blog\/wp-json\/wp\/v2\/media?parent=143"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.facadium.com.tr\/blog\/wp-json\/wp\/v2\/categories?post=143"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.facadium.com.tr\/blog\/wp-json\/wp\/v2\/tags?post=143"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}