{"id":2272,"date":"2023-07-23T00:05:40","date_gmt":"2023-07-23T00:05:40","guid":{"rendered":"https:\/\/statorials.org\/cn\/matplotlib-python-%e8%9c%a1%e7%83%9b%e5%9b%be\/"},"modified":"2023-07-23T00:05:40","modified_gmt":"2023-07-23T00:05:40","slug":"matplotlib-python-%e8%9c%a1%e7%83%9b%e5%9b%be","status":"publish","type":"post","link":"https:\/\/statorials.org\/cn\/matplotlib-python-%e8%9c%a1%e7%83%9b%e5%9b%be\/","title":{"rendered":"\u5982\u4f55\u5728 python \u4e2d\u4f7f\u7528 matplotlib \u521b\u5efa\u70db\u53f0\u56fe"},"content":{"rendered":"

<\/p>\n

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\u70db\u53f0\u56fe<\/a>\u662f\u4e00\u79cd\u91d1\u878d\u56fe\u8868\uff0c\u663e\u793a\u8bc1\u5238\u968f\u65f6\u95f4\u7684\u4ef7\u683c\u53d8\u52a8\u3002<\/span><\/p>\n

\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528 Python \u4e2d\u7684Matplotlib<\/a>\u53ef\u89c6\u5316\u5e93\u521b\u5efa\u70db\u53f0\u56fe\u3002<\/span><\/p>\n

\u793a\u4f8b\uff1a\u7528 Python \u521b\u5efa\u70db\u53f0\u56fe<\/strong><\/span><\/h3>\n

\u5047\u8bbe\u6211\u4eec\u6709\u4ee5\u4e0b pandas DataFrame\uff0c\u5b83\u663e\u793a\u4e86\u67d0\u53ea\u80a1\u7968\u5728 8 \u5929\u5185\u7684\u5f00\u76d8\u4ef7\u3001\u6536\u76d8\u4ef7\u3001\u6700\u9ad8\u4ef7\u548c\u6700\u4f4e\u4ef7\uff1a<\/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
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u521b\u5efa\u70db\u53f0\u56fe\uff0c\u4ee5\u53ef\u89c6\u5316\u8be5\u80a1\u7968\u5728\u8fd9 8 \u5929\u5185\u7684\u4ef7\u683c\u53d8\u52a8\uff1a<\/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
\"\u5728<\/p>\n
\u6bcf\u4e2a\u70db\u53f0\u4ee3\u8868\u7279\u5b9a\u65e5\u671f\u8bc1\u5238\u4ef7\u683c\u7684\u53d8\u5316\u3002\u70db\u53f0\u7684\u989c\u8272\u544a\u8bc9\u6211\u4eec\u4e0e\u524d\u4e00\u5929\u76f8\u6bd4\u6536\u76d8\u4ef7\u683c\u662f\u4e0a\u6da8\uff08\u7eff\u8272\uff09\u8fd8\u662f\u4e0b\u8dcc\uff08\u7ea2\u8272\uff09\u3002<\/span><\/p>\n
\u60a8\u53ef\u4ee5\u968f\u610f\u66f4\u6539\u70db\u53f0\u7684\u5bbd\u5ea6\u548c\u989c\u8272\uff0c\u4ee5\u4f7f\u56fe\u8868\u6309\u7167\u60a8\u60f3\u8981\u7684\u65b9\u5f0f\u663e\u793a\u3002<\/span><\/p>\n
\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u8721\u70db\u66f4\u7ec6\uff0c\u5e76\u4f7f\u7528\u4e0d\u540c\u7684\u989c\u8272\u6765\u4ee3\u8868\u201c\u9ad8\u201d\u548c\u201c\u4f4e\u201d\u5929\uff1a<\/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
\u5176\u4ed6\u8d44\u6e90<\/strong><\/span><\/h3>\n
\u4ee5\u4e0b\u6559\u7a0b\u4ecb\u7ecd\u4e86\u5982\u4f55\u5728 Python \u4e2d\u521b\u5efa\u5176\u4ed6\u5e38\u89c1\u56fe\u8868\uff1a<\/span><\/p>\n
\u5982\u4f55\u5728\u5355\u4e2a\u56fe\u5f62\u4e0a\u521b\u5efa\u591a\u4e2a Matplotlib \u56fe<\/a>
\u5982\u4f55\u5728 Python \u4e2d\u4ece\u6570\u636e\u5217\u8868\u4e2d\u7ed8\u5236\u76f4\u65b9\u56fe<\/a>
\u5982\u4f55\u5728 Python \u4e2d\u6309\u7ec4\u521b\u5efa\u7bb1\u7ebf\u56fe<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u70db\u53f0\u56fe\u662f\u4e00\u79cd\u91d1\u878d\u56fe\u8868\uff0c\u663e\u793a\u8bc1\u5238\u968f\u65f6\u95f4\u7684\u4ef7\u683c\u53d8\u52a8\u3002 \u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528 Python \u4e2d\u7684Matplotli […]<\/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-2272","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\n\u5982\u4f55\u5728 Python \u4e2d\u4f7f\u7528 Matplotlib \u521b\u5efa\u70db\u53f0\u56fe - Statorials<\/title>\n<meta name=\"description\" content=\"\u672c\u6559\u7a0b\u901a\u8fc7\u4e00\u4e2a\u793a\u4f8b\u89e3\u91ca\u4e86\u5982\u4f55\u4f7f\u7528 Python \u4e2d\u7684 Matplotlib \u53ef\u89c6\u5316\u5e93\u521b\u5efa\u70db\u53f0\u56fe\u3002\" \/>\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\/cn\/matplotlib-python-\u8721\u70db\u56fe\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u5982\u4f55\u5728 Python \u4e2d\u4f7f\u7528 Matplotlib \u521b\u5efa\u70db\u53f0\u56fe - 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