![\"Wykres](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/pareto_chart1.png\")
<\/p>\n
W tym samouczku przedstawiono krok po kroku przyk\u0142ad tworzenia wykresu Pareto w j\u0119zyku Python.<\/span><\/p>\n Za\u0142\u00f3\u017cmy, \u017ce przeprowadzamy ankiet\u0119, w kt\u00f3rej prosimy 350 r\u00f3\u017cnych os\u00f3b o wskazanie ich ulubionej marki p\u0142atk\u00f3w \u015bniadaniowych spo\u015br\u00f3d marek A, B, C, D i E.<\/span><\/p>\n Mo\u017cemy utworzy\u0107 nast\u0119puj\u0105c\u0105 pand\u0119 DataFrame do przechowywania wynik\u00f3w ankiety:<\/span><\/p>\n Do utworzenia wykresu Pareto mo\u017cemy u\u017cy\u0107 nast\u0119puj\u0105cego kodu:<\/span><\/span> <\/p>\n O\u015b X wy\u015bwietla r\u00f3\u017cne marki w kolejno\u015bci od najwy\u017cszej do najni\u017cszej cz\u0119stotliwo\u015bci.<\/span><\/p>\n Lewa o\u015b Y pokazuje cz\u0119stotliwo\u015b\u0107 wyst\u0119powania ka\u017cdej marki, a prawa o\u015b Y pokazuje skumulowan\u0105 cz\u0119stotliwo\u015b\u0107 wyst\u0119powania marek.<\/span><\/p>\n Na przyk\u0142ad mo\u017cemy zobaczy\u0107:<\/span><\/p>\n I tak dalej.<\/span><\/p>\n Mo\u017cesz zmieni\u0107 kolory s\u0142upk\u00f3w i rozmiar linii skumulowanych warto\u015bci procentowych, aby wykres Pareto wygl\u0105da\u0142 tak, jak chcesz.<\/span><\/p>\n Na przyk\u0142ad mogliby\u015bmy zmieni\u0107 paski na r\u00f3\u017cowe, a lini\u0119 na fioletow\u0105 i nieco grubsz\u0105:<\/span> <\/p>\n Poni\u017csze samouczki wyja\u015bniaj\u0105, jak tworzy\u0107 inne popularne wizualizacje w Pythonie:<\/span><\/p>\n Jak utworzy\u0107 krzyw\u0105 dzwonow\u0105 w Pythonie<\/a> Wykres Pareto to rodzaj wykresu przedstawiaj\u0105cy uporz\u0105dkowan\u0105 cz\u0119sto\u015b\u0107 kategorii, a tak\u017ce skumulowan\u0105 cz\u0119sto\u015b\u0107 kategorii. W tym samouczku przedstawiono krok po kroku przyk\u0142ad tworzenia wykresu Pareto w j\u0119zyku Python. Krok 1: Utw\u00f3rz dane Za\u0142\u00f3\u017cmy, \u017ce przeprowadzamy ankiet\u0119, w kt\u00f3rej prosimy 350 r\u00f3\u017cnych os\u00f3b o wskazanie ich ulubionej marki p\u0142atk\u00f3w \u015bniadaniowych spo\u015br\u00f3d marek A, B, C, D […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-2348","post","type-post","status-publish","format-standard","hentry","category-przewodnik"],"yoast_head":"\n Krok 1: Utw\u00f3rz dane<\/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 Krok 2: Utw\u00f3rz wykres Pareto<\/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
Krok 3: Dostosuj wykres Pareto (opcjonalnie)<\/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 Dodatkowe zasoby<\/strong><\/span><\/h3>\n
Jak utworzy\u0107 wykres ostro\u0142ukowy w Pythonie<\/a>
Jak utworzy\u0107 wykres \u0142odygi i li\u015bci w Pythonie<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"