![\"Python'da](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/pareto_chart1.png\")
<\/p>\n
Bu e\u011fitimde Python’da Pareto grafi\u011fi olu\u015fturmaya y\u00f6nelik ad\u0131m ad\u0131m bir \u00f6rnek sunulmaktad\u0131r.<\/span><\/p>\n 350 farkl\u0131 ki\u015fiden A, B, C, D ve E markalar\u0131 aras\u0131ndan en sevdikleri tah\u0131l markas\u0131n\u0131 belirtmelerini istedi\u011fimiz bir anket yapt\u0131\u011f\u0131m\u0131z\u0131 varsayal\u0131m.<\/span><\/p>\n Anket sonu\u00e7lar\u0131n\u0131 tutmak i\u00e7in a\u015fa\u011f\u0131daki pandalar DataFrame’i olu\u015fturabiliriz:<\/span><\/p>\n Pareto grafi\u011fini olu\u015fturmak i\u00e7in a\u015fa\u011f\u0131daki kodu kullanabiliriz:<\/span><\/span> <\/p>\n X ekseni, farkl\u0131 markalar\u0131 en y\u00fcksekten en d\u00fc\u015f\u00fc\u011fe do\u011fru s\u0131ralayarak g\u00f6r\u00fcnt\u00fcler.<\/span><\/p>\n Sol y ekseni her markan\u0131n s\u0131kl\u0131\u011f\u0131n\u0131, sa\u011f y ekseni ise markalar\u0131n k\u00fcm\u00fclatif s\u0131kl\u0131\u011f\u0131n\u0131 g\u00f6stermektedir.<\/span><\/p>\n \u00d6rne\u011fin \u015funu g\u00f6rebiliriz:<\/span><\/p>\n Ve benzeri.<\/span><\/p>\n Pareto grafi\u011finin istedi\u011finiz gibi g\u00f6r\u00fcnmesini sa\u011flamak i\u00e7in \u00e7ubuk renklerini ve k\u00fcm\u00fclatif y\u00fczde \u00e7izgisinin boyutunu de\u011fi\u015ftirebilirsiniz.<\/span><\/p>\n \u00d6rne\u011fin, \u00e7ubuklar\u0131 pembeye, \u00e7izgiyi ise mor ve biraz daha kal\u0131n hale getirebiliriz:<\/span> <\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde Python’da di\u011fer yayg\u0131n g\u00f6rselle\u015ftirmelerin nas\u0131l olu\u015fturulaca\u011f\u0131 a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Python’da \u00c7an E\u011frisi Nas\u0131l Olu\u015fturulur<\/a> Pareto grafi\u011fi, kategorilerin s\u0131ral\u0131 s\u0131kl\u0131klar\u0131n\u0131n yan\u0131 s\u0131ra kategorilerin k\u00fcm\u00fclatif s\u0131kl\u0131klar\u0131n\u0131 da g\u00f6r\u00fcnt\u00fcleyen bir grafik t\u00fcr\u00fcd\u00fcr. Bu e\u011fitimde Python’da Pareto grafi\u011fi olu\u015fturmaya y\u00f6nelik ad\u0131m ad\u0131m bir \u00f6rnek sunulmaktad\u0131r. 1. Ad\u0131m: Verileri olu\u015fturun 350 farkl\u0131 ki\u015fiden A, B, C, D ve E markalar\u0131 aras\u0131ndan en sevdikleri tah\u0131l markas\u0131n\u0131 belirtmelerini istedi\u011fimiz bir anket yapt\u0131\u011f\u0131m\u0131z\u0131 varsayal\u0131m. Anket sonu\u00e7lar\u0131n\u0131 tutmak […]<\/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-2350","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n 1. Ad\u0131m: Verileri olu\u015fturun<\/strong><\/span><\/h3>\n
import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' count<\/span> ': [97, 140, 58, 6, 17, 32]})\ndf. index<\/span> = ['B', 'A', 'C', 'F', 'E', 'D']\n\n#sort DataFrame by count descending\n<\/span>df = df. sort_values<\/span> (by=' count<\/span> ', ascending= False<\/span> )\n\n#add column to display cumulative percentage\n<\/span>df[' cumperc<\/span> '] = df[' count<\/span> ']. cumsum<\/span> ()\/df[' count<\/span> ']. sum<\/span> ()*100\n\n#view DataFrame\n<\/span>df\n\n\tcount cumperc\nAt 140 40.000000\nB 97 67.714286\nC 58 84.285714\nD 32 93.428571\nE 17 98.285714\nF 6 100.000000<\/strong><\/pre>\n Ad\u0131m 2: Pareto Grafi\u011fi Olu\u015fturun<\/strong><\/span><\/h3>\n
import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\nfrom<\/span> matplotlib. ticker<\/span> import<\/span> PercentFormatter\n\n#define aesthetics for plot\n<\/span>color1 = ' steelblue<\/span> '\ncolor2 = ' red<\/span> '\nline_size = 4\n\n#create basic bar plot\n<\/span>fig, ax = plt. subplots<\/span> ()\nax. bar<\/span> (df. index<\/span> , df[' count<\/span> '], color=color1)\n\n#add cumulative percentage line to plot\n<\/span>ax2 = ax. twinx<\/span> ()\nax2. plot<\/span> ( df.index<\/span> , df[' cumperc<\/span> '], color=color2, marker=\" D<\/span> \", ms=line_size)\nax2. yaxis<\/span> . set_major_formatter<\/span> (PercentFormatter())\n\n#specify axis colors\n<\/span>ax. tick_params<\/span> (axis=' y<\/span> ', colors=color1)\nax2. tick_params<\/span> (axis=' y<\/span> ', colors=color2)<\/span>\n\n#display Pareto chart\nplt. show<\/span> ()\n<\/span><\/span><\/strong><\/pre>\n<\/p>\n\n
3. Ad\u0131m: Pareto grafi\u011fini \u00f6zelle\u015ftirin (iste\u011fe ba\u011fl\u0131)<\/strong><\/span><\/h3>\n
import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\nfrom<\/span> matplotlib. ticker<\/span> import<\/span> PercentFormatter\n\n#define aesthetics for plot\n<\/span>color1 = ' pink<\/span> '\ncolor2 = '<\/span> purple<\/span> '\nline_size = 6\n\n#create basic bar plot\n<\/span>fig, ax = plt.<\/span> subplots<\/span> ()\nax.<\/span> bar<\/span> (df.<\/span> index<\/span> , df['<\/span> count<\/span> '], color=color1)\n\n#add cumulative percentage line to plot\n<\/span>ax2 = ax.<\/span> twinx<\/span> ()\nax2.<\/span> plot<\/span> (df.index<\/span> , df['<\/span> cumperc<\/span> '], color=color2, marker=\"<\/span> D<\/span> \", ms=line_size<\/span> )<\/span>\nax2.<\/span> yaxis<\/span> .<\/span> set_major_formatter<\/span> (PercentFormatter())\n\n#specify axis colors\n<\/span>ax.<\/span> tick_params<\/span> (axis='<\/span> y<\/span> ', colors=color1)\nax2.<\/span> tick_params<\/span> (axis='<\/span> y<\/span> ', colors=color2)<\/span><\/span>\n\n#display Pareto chart\n<\/span>plt. show<\/span> ()<\/span><\/span><\/strong> <\/pre>\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/pareto_chart2.png\")
<\/p>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
Python’da Ogive Grafi\u011fi Nas\u0131l Olu\u015fturulur<\/a>
Python’da K\u00f6k ve Yaprak Grafi\u011fi Nas\u0131l Olu\u015fturulur<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"