{"id":2270,"date":"2023-07-23T00:05:40","date_gmt":"2023-07-23T00:05:40","guid":{"rendered":"https:\/\/statorials.org\/pl\/wykres-swiecowy-matplotlib-pythona\/"},"modified":"2023-07-23T00:05:40","modified_gmt":"2023-07-23T00:05:40","slug":"wykres-swiecowy-matplotlib-pythona","status":"publish","type":"post","link":"https:\/\/statorials.org\/pl\/wykres-swiecowy-matplotlib-pythona\/","title":{"rendered":"Jak utworzy\u0107 wykres \u015bwiecowy za pomoc\u0105 matplotlib w pythonie"},"content":{"rendered":"

<\/p>\n

\n

Wykres \u015bwiecowy<\/a> to rodzaj wykresu finansowego przedstawiaj\u0105cego zmiany cen papier\u00f3w warto\u015bciowych w czasie.<\/span><\/p>\n

Poni\u017cszy przyk\u0142ad pokazuje, jak utworzy\u0107 wykres \u015bwiecowy przy u\u017cyciu biblioteki wizualizacji Matplotlib<\/a> w j\u0119zyku Python.<\/span><\/p>\n

Przyk\u0142ad: Tworzenie wykresu \u015bwiecowego w Pythonie<\/strong><\/span><\/h3>\n

Za\u0142\u00f3\u017cmy, \u017ce mamy nast\u0119puj\u0105c\u0105 ramk\u0119 danych pandy, kt\u00f3ra pokazuje cen\u0119 otwarcia, zamkni\u0119cia, najwy\u017csz\u0105 i najni\u017csz\u0105 cen\u0119 okre\u015blonych akcji w okresie 8 dni:<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\nprices = pd. DataFrame<\/span> ({' open<\/span> ': [25, 22, 21, 19, 23, 21, 25, 29],\n                       ' close<\/span> ': [24, 20, 17, 23, 22, 25, 29, 31],\n                       ' high<\/span> ': [28, 27, 29, 25, 24, 26, 31, 37],\n                       ' low<\/span> ': [22, 16, 14, 17, 19, 18, 22, 26]},\n                       index=pd. date_range<\/span> (\" 2021-01-01<\/span> \", periods=8, freq=\" d<\/span> \"))\n\n#display DataFrame\n<\/span>print<\/span> (prices)\n\n            open close high low\n2021-01-01 25 24 28 22\n2021-01-02 22 20 27 16\n2021-01-03 21 17 29 14\n2021-01-04 19 23 25 17\n2021-01-05 23 22 24 19\n2021-01-06 21 25 26 18\n2021-01-07 25 29 31 22\n2021-01-08 29 31 37 26\n<\/span><\/span><\/strong><\/pre>\n
 Mo\u017cemy u\u017cy\u0107 poni\u017cszego kodu, aby utworzy\u0107 wykres \u015bwiecowy w celu wizualizacji zmian cen tych akcji w ci\u0105gu 8 dni:<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#create figure\n<\/span>plt. figure<\/span> ()\n\n#define width of candlestick elements\n<\/span>width = .4\nwidth2 = .05\n\n#define up and down prices\n<\/span>up = prices[prices. close<\/span> >=prices. open<\/span> ]\ndown = prices[prices. close<\/span> <prices. open<\/span> ]\n\n#define colors to use\n<\/span>col1 = ' green<\/span> '\ncol2 = ' red<\/span> '\n\n#plot up prices\n<\/span>plt. bar<\/span> (up. index<\/span> , up. close<\/span> -up. open<\/span> , width, bottom=up. open<\/span> , color=col1)\nplt. bar<\/span> (up. index<\/span> ,up. high<\/span> -up. close<\/span> ,width2,bottom=up. close<\/span> ,color=col1)\nplt. bar<\/span> (up. index<\/span> , up. low<\/span> -up. open<\/span> , width2, bottom=up. open<\/span> , color=col1)\n\n#plot down prices\n<\/span>plt. bar<\/span> (down. index<\/span> , down. close<\/span> -down. open<\/span> , width, bottom=down. open<\/span> , color=col2)\nplt. bar<\/span> (down. index<\/span> , down. high<\/span> -down. open<\/span> , width2, bottom=down. open<\/span> , color=col2)\nplt. bar<\/span> (down. index<\/span> ,down. low<\/span> -down. close<\/span> ,width2,bottom=down. close<\/span> ,color=col2)\n\n#rotate x-axis tick labels\n<\/span>plt. xticks<\/span> (rotation= 45<\/span> , ha=' right<\/span> ')\n\n#display candlestick chart\n<\/span>plt. show<\/span> ()<\/span><\/span><\/strong> <\/pre>\n
\"Wykres<\/p>\n
 Ka\u017cda \u015bwieca reprezentuje zmian\u0119 ceny papieru warto\u015bciowego w danym dniu. Kolor \u015bwiecy m\u00f3wi nam, czy cena zako\u0144czy\u0142a si\u0119 wy\u017cej (zielony) czy ni\u017cej (czerwony) w por\u00f3wnaniu z dniem poprzednim.<\/span><\/p>\n
 Mo\u017cesz dowolnie zmienia\u0107 szeroko\u015b\u0107 \u015bwiecznik\u00f3w i kolory, aby wykres wygl\u0105da\u0142 tak, jak chcesz.<\/span><\/p>\n
 Na przyk\u0142ad mogliby\u015bmy sprawi\u0107, \u017ce \u015bwiece b\u0119d\u0105 jeszcze cie\u0144sze i u\u017cy\u0107 r\u00f3\u017cnych kolor\u00f3w, aby przedstawi\u0107 dni \u201ewysokie\u201d i \u201eniskie\u201d:<\/span> <\/p>\n
 import<\/span> matplotlib. pyplot<\/span> as<\/span> plt\n\n#create figure\nplt. figure<\/span> ()\n\n#define width of candlestick elements\n<\/span>width = .2\nwidth2 = .02\n\n#define up and down prices\n<\/span>up = prices[prices. close<\/span> >=prices. open<\/span> ]\ndown = prices[prices. close<\/span> <prices. open<\/span> ]\n\n#define colors to use\n<\/span>col1 = ' black<\/span> '\ncol2 = ' steelblue<\/span> '\n\n#plot up prices\n<\/span>plt. bar<\/span> (up. index<\/span> , up. close<\/span> -up. open<\/span> , width, bottom=up. open<\/span> , color=col1)\nplt. bar<\/span> (up. index<\/span> ,up. high<\/span> -up. close<\/span> ,width2,bottom=up. close<\/span> ,color=col1)\nplt. bar<\/span> (up. index<\/span> , up. low<\/span> -up. open<\/span> , width2, bottom=up. open<\/span> , color=col1)\n\n#plot down prices\n<\/span>plt. bar<\/span> (down. index<\/span> , down. close<\/span> -down. open<\/span> , width, bottom=down. open<\/span> , color=col2)\nplt. bar<\/span> (down. index<\/span> , down. high<\/span> -down. open<\/span> , width2, bottom=down. open<\/span> , color=col2)\nplt. bar<\/span> (down. index<\/span> ,down. low<\/span> -down. close<\/span> ,width2,bottom=down. close<\/span> ,color=col2)\n\n#rotate x-axis tick labels\n<\/span>plt. xticks<\/span> (rotation= 45<\/span> , ha=' right<\/span> ')\n\n#display candlestick chart\n<\/span>plt. show<\/span> ()<\/span><\/span><\/strong> <\/pre>\n
\"\"<\/p>\n
 Dodatkowe zasoby<\/strong><\/span><\/h3>\n
 Poni\u017csze samouczki wyja\u015bniaj\u0105, jak tworzy\u0107 inne popularne wykresy w Pythonie:<\/span><\/p>\n
 Jak utworzy\u0107 wiele wykres\u00f3w Matplotlib na jednej figurze<\/a>
 Jak wykre\u015bli\u0107 histogram z listy danych w Pythonie<\/a>
 Jak tworzy\u0107 wykresy pude\u0142kowe wed\u0142ug grup w Pythonie<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Wykres \u015bwiecowy to rodzaj wykresu finansowego przedstawiaj\u0105cego zmiany cen papier\u00f3w warto\u015bciowych w czasie. Poni\u017cszy przyk\u0142ad pokazuje, jak utworzy\u0107 wykres \u015bwiecowy przy u\u017cyciu biblioteki wizualizacji Matplotlib w j\u0119zyku Python. Przyk\u0142ad: Tworzenie wykresu \u015bwiecowego w Pythonie Za\u0142\u00f3\u017cmy, \u017ce mamy nast\u0119puj\u0105c\u0105 ramk\u0119 danych pandy, kt\u00f3ra pokazuje cen\u0119 otwarcia, zamkni\u0119cia, najwy\u017csz\u0105 i najni\u017csz\u0105 cen\u0119 okre\u015blonych akcji w okresie 8 […]<\/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-2270","post","type-post","status-publish","format-standard","hentry","category-przewodnik"],"yoast_head":"\nJak utworzy\u0107 wykres \u015bwiecowy za pomoc\u0105 Matplotlib w Pythonie - Statorials<\/title>\n<meta name=\"description\" content=\"W tym samouczku wyja\u015bniono, jak utworzy\u0107 wykres \u015bwiecowy przy u\u017cyciu biblioteki wizualizacji Matplotlib w j\u0119zyku Python, podaj\u0105c przyk\u0142ad.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/pl\/wykres-swiecowy-matplotlib-pythona\/\" \/>\n<meta property=\"og:locale\" content=\"pl_PL\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Jak utworzy\u0107 wykres \u015bwiecowy za pomoc\u0105 Matplotlib w Pythonie - 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