O exemplo a seguir mostra como criar um gr\u00e1fico de velas usando a biblioteca de visualiza\u00e7\u00e3o Matplotlib<\/a> em Python.<\/span><\/p>\n Digamos que temos o seguinte DataFrame do pandas que mostra o pre\u00e7o de abertura, fechamento, m\u00e1ximo e m\u00ednimo de uma determinada a\u00e7\u00e3o durante um per\u00edodo de 8 dias:<\/span><\/p>\n Podemos usar o c\u00f3digo a seguir para criar um gr\u00e1fico de velas para visualizar os movimentos de pre\u00e7os desta a\u00e7\u00e3o durante este per\u00edodo de 8 dias:<\/span> <\/p>\n Cada vela representa a varia\u00e7\u00e3o do pre\u00e7o do t\u00edtulo em um determinado dia. A cor da vela nos diz se o pre\u00e7o fechou em alta (verde) ou em baixa (vermelho) em rela\u00e7\u00e3o ao dia anterior.<\/span><\/p>\n Sinta-se \u00e0 vontade para alterar a largura dos casti\u00e7ais e as cores usadas para fazer o gr\u00e1fico ter a apar\u00eancia que voc\u00ea deseja.<\/span><\/p>\n Por exemplo, poder\u00edamos tornar as velas ainda mais finas e usar cores diferentes para representar os dias \u201caltos\u201d e \u201cbaixos\u201d:<\/span> <\/p>\n Os tutoriais a seguir explicam como criar outros gr\u00e1ficos comuns em Python:<\/span><\/p>\n Como criar v\u00e1rios gr\u00e1ficos Matplotlib em uma \u00fanica figura<\/a> Um gr\u00e1fico de velas \u00e9 um tipo de gr\u00e1fico financeiro que exibe os movimentos de pre\u00e7os dos t\u00edtulos ao longo do tempo. O exemplo a seguir mostra como criar um gr\u00e1fico de velas usando a biblioteca de visualiza\u00e7\u00e3o Matplotlib em Python. Exemplo: Criando um gr\u00e1fico de velas em Python Digamos que temos o seguinte DataFrame […]<\/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-2271","post","type-post","status-publish","format-standard","hentry","category-guia"],"yoast_head":"\n Exemplo: Criando um gr\u00e1fico de velas em Python<\/strong><\/span><\/h3>\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 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![\"Gr\u00e1fico](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/bougie1.png\")
<\/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![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/bougie2.png\")
<\/p>\n Recursos adicionais<\/strong><\/span><\/h3>\n
Como tra\u00e7ar um histograma a partir de uma lista de dados em Python<\/a>
Como criar box plots por grupo em Python<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"