Y\u00f6ntem 1: \u0130ki s\u00fctunu da\u011f\u0131l\u0131m grafi\u011finde noktalar olarak \u00e7izin<\/strong><\/span><\/p>\n Y\u00f6ntem 2: \u0130ki s\u00fctunu \u00e7izgi grafi\u011finde \u00e7izgiler olarak \u00e7izin<\/strong><\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler her y\u00f6ntemin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir.<\/span><\/p>\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 Nokta<\/strong> s\u00fctununu x ekseninde ve asist<\/strong> s\u00fctununu y ekseninde g\u00f6r\u00fcnt\u00fcleyen bir da\u011f\u0131l\u0131m grafi\u011fi olu\u015fturmak i\u00e7in a\u015fa\u011f\u0131daki kodu kullanabiliriz:<\/span> <\/p>\n X ekseni puan<\/strong> s\u00fctunundaki de\u011ferleri, Y ekseni ise asist<\/strong> s\u00fctunundaki de\u011ferleri i\u00e7erir.<\/span><\/p>\n Bir basketbol tak\u0131m\u0131n\u0131n alt\u0131 farkl\u0131 ma\u00e7ta att\u0131\u011f\u0131 puanlar ve izin verdi\u011fi puanlar hakk\u0131nda bilgi i\u00e7eren a\u015fa\u011f\u0131daki panda DataFrame’e sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n X ekseninde game<\/strong> de\u011ferini kullan\u0131rken bir sat\u0131rda point_for<\/strong> , di\u011fer sat\u0131rda point_against<\/strong> de\u011ferlerini g\u00f6r\u00fcnt\u00fcleyen bir \u00e7izgi grafik olu\u015fturmak i\u00e7in a\u015fa\u011f\u0131daki kodu kullanabiliriz:<\/span> <\/p>\n Mavi \u00e7izgi her oyundaki point_for<\/strong> s\u00fctun de\u011ferlerini, turuncu \u00e7izgi ise her oyundaki point_for<\/strong> s\u00fctun de\u011ferlerini temsil eder.<\/span><\/p>\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 Pandalarda Groupby ve Plot nas\u0131l kullan\u0131l\u0131r?<\/a> Bir pandas DataFrame’de iki s\u00fctunun de\u011ferlerini \u00e7izmenin iki yayg\u0131n yolu vard\u0131r: Y\u00f6ntem 1: \u0130ki s\u00fctunu da\u011f\u0131l\u0131m grafi\u011finde noktalar olarak \u00e7izin import matplotlib. pyplot as plt plt. scatter (df[‘ column1 ‘], df[‘ column2 ‘]) Y\u00f6ntem 2: \u0130ki s\u00fctunu \u00e7izgi grafi\u011finde \u00e7izgiler olarak \u00e7izin df. plot (x=’ column1 ‘,y=[‘ column2 ‘,’ column3 ‘]) A\u015fa\u011f\u0131daki \u00f6rnekler her y\u00f6ntemin […]<\/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-3839","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\nplt. scatter<\/span> (df[' column1<\/span> '], df[' column2<\/span> '])<\/strong><\/span><\/pre>\n df. plot<\/span> (x=' column1<\/span> ',y=[' column2<\/span> ',' column3<\/span> '])\n<\/strong><\/span><\/pre>\n \u00d6rnek 1: Bir da\u011f\u0131l\u0131m grafi\u011finde iki s\u00fctunun grafi\u011fini \u00e7izin<\/strong><\/span><\/h2>\n
import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'],\n ' points<\/span> ': [18, 22, 19, 14, 14, 11, 20, 28],\n ' assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n team points assists\n0 to 18 5\n1 B 22 7\n2 C 19 7\n3 D 14 9\n4 E 14 12\n5 F 11 9\n6 G 20 9\n7:28 a.m. 4<\/strong><\/span><\/pre>\n import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#create scatterplot\n<\/span>plt. scatter<\/span> (df[' points<\/span> '], df[' assists<\/span> '])\n\n#add axis labels\n<\/span>plt. xlabel<\/span> (' Points<\/span> ')\nplt. ylabel<\/span> (' Assists<\/span> ')<\/strong><\/span> <\/pre>\n![\"pandalar](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/deux1.jpg\")
<\/p>\n \u00d6rnek 2: Bir \u00e7izgi grafi\u011finde iki s\u00fctunun grafi\u011fini \u00e7izin<\/strong><\/span><\/h2>\n
import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' game<\/span> ': [1, 2, 3, 4, 5, 6],\n ' points_for<\/span> ': [99, 94, 92, 90, 87, 85],\n ' points_against<\/span> ': [89, 76, 78, 78, 85, 87]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n game points_for points_against\n0 1 99 89\n1 2 94 76\n2 3 92 78\n3 4 90 78\n4 5 87 85\n5 6 85 87\n<\/strong><\/span><\/pre>\n #plot points_for and points_against columns on same y-axis\n<\/span>df. plot<\/span> (x=' game<\/span> ', y=[' points_for<\/span> ', ' points_against<\/span> '])<\/strong><\/span> <\/pre>\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/deux2.jpg\")
<\/p>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
Pandalarda s\u00fctun de\u011ferlerinin da\u011f\u0131l\u0131m\u0131 nas\u0131l \u00e7izilir<\/a>
Bir panda grafi\u011finin \u015fekil boyutu nas\u0131l ayarlan\u0131r?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"