{"id":2269,"date":"2023-07-23T00:05:40","date_gmt":"2023-07-23T00:05:40","guid":{"rendered":"https:\/\/statorials.org\/ja\/matplotlib-python%e3%83%ad%e3%83%bc%e3%82%bd%e3%82%af%e8%b6%b3%e3%83%81%e3%83%a3%e3%83%bc%e3%83%88\/"},"modified":"2023-07-23T00:05:40","modified_gmt":"2023-07-23T00:05:40","slug":"matplotlib-python%e3%83%ad%e3%83%bc%e3%82%bd%e3%82%af%e8%b6%b3%e3%83%81%e3%83%a3%e3%83%bc%e3%83%88","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/matplotlib-python%e3%83%ad%e3%83%bc%e3%82%bd%e3%82%af%e8%b6%b3%e3%83%81%e3%83%a3%e3%83%bc%e3%83%88\/","title":{"rendered":"Python \u3067 matplotlib \u3092\u4f7f\u7528\u3057\u3066\u30ed\u30fc\u30bd\u30af\u8db3\u30c1\u30e3\u30fc\u30c8\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"

<\/p>\n

\n

\u30ed\u30fc\u30bd\u30af\u8db3\u30c1\u30e3\u30fc\u30c8\u306f\u3001<\/a>\u6642\u9593\u306e\u7d4c\u904e\u306b\u4f34\u3046\u6709\u4fa1\u8a3c\u5238\u306e\u4fa1\u683c\u5909\u52d5\u3092\u8868\u793a\u3059\u308b\u8ca1\u52d9\u30c1\u30e3\u30fc\u30c8\u306e\u4e00\u7a2e\u3067\u3059\u3002<\/span><\/p>\n

\u6b21\u306e\u4f8b\u306f\u3001Python \u3067Matplotlib<\/a>\u8996\u899a\u5316\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u7528\u3057\u3066\u30ed\u30fc\u30bd\u30af\u8db3\u30c1\u30e3\u30fc\u30c8\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n

\u4f8b: Python \u3067\u30ed\u30fc\u30bd\u30af\u8db3\u30c1\u30e3\u30fc\u30c8\u3092\u4f5c\u6210\u3059\u308b<\/strong><\/span><\/h3>\n

8 \u65e5\u9593\u306e\u7279\u5b9a\u306e\u682a\u5f0f\u306e\u59cb\u5024\u3001\u7d42\u5024\u3001\u9ad8\u5024\u3001\u5b89\u5024\u3092\u793a\u3059\u6b21\u306e\u30d1\u30f3\u30c0 \u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u304c\u3042\u308b\u3068\u3057\u307e\u3059\u3002<\/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
\u6b21\u306e\u30b3\u30fc\u30c9\u3092\u4f7f\u7528\u3057\u3066\u30ed\u30fc\u30bd\u30af\u8db3\u30c1\u30e3\u30fc\u30c8\u3092\u4f5c\u6210\u3057\u3001\u3053\u306e 8 \u65e5\u9593\u306e\u3053\u306e\u682a\u5f0f\u306e\u4fa1\u683c\u5909\u52d5\u3092\u8996\u899a\u5316\u3067\u304d\u307e\u3059\u3002<\/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
\"Python<\/p>\n
\u5404\u30ed\u30fc\u30bd\u30af\u8db3\u306f\u3001\u7279\u5b9a\u306e\u65e5\u306e\u8a3c\u5238\u4fa1\u683c\u306e\u5909\u5316\u3092\u8868\u3057\u307e\u3059\u3002\u30ed\u30fc\u30bd\u30af\u8db3\u306e\u8272\u306f\u3001\u4fa1\u683c\u304c\u524d\u65e5\u3068\u6bd4\u8f03\u3057\u3066\u9ad8\u304f\u7d42\u4e86\u3057\u305f (\u7dd1) \u304b\u3001\u5b89\u304f\u7d42\u4e86\u3057\u305f (\u8d64) \u304b\u3092\u793a\u3057\u307e\u3059\u3002<\/span><\/p>\n
\u30ed\u30fc\u30bd\u30af\u8db3\u306e\u5e45\u3084\u4f7f\u7528\u3059\u308b\u8272\u3092\u81ea\u7531\u306b\u5909\u66f4\u3057\u3066\u3001\u30c1\u30e3\u30fc\u30c8\u3092\u601d\u3044\u901a\u308a\u306b\u8868\u793a\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n
\u305f\u3068\u3048\u3070\u3001\u308d\u3046\u305d\u304f\u306e\u706b\u3092\u3055\u3089\u306b\u8584\u304f\u3057\u3001\u7570\u306a\u308b\u8272\u3092\u4f7f\u7528\u3057\u3066\u300c\u6700\u9ad8\u300d\u65e5\u3068\u300c\u6700\u4f4e\u300d\u65e5\u3092\u8868\u3059\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/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
\u8ffd\u52a0\u30ea\u30bd\u30fc\u30b9<\/strong><\/span><\/h3>\n
\u6b21\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001Python \u3067\u4ed6\u306e\u4e00\u822c\u7684\u306a\u30b0\u30e9\u30d5\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5\u3092\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n
 \u5358\u4e00\u306e Figure \u4e0a\u306b\u8907\u6570\u306e Matplotlib \u30d7\u30ed\u30c3\u30c8\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5<\/a>
Python \u3067\u30c7\u30fc\u30bf\u306e\u30ea\u30b9\u30c8\u304b\u3089\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u3092\u30d7\u30ed\u30c3\u30c8\u3059\u308b\u65b9\u6cd5<\/a>
Python \u3067\u30b0\u30eb\u30fc\u30d7\u3054\u3068\u306b\u7bb1\u3072\u3052\u56f3\u3092\u4f5c\u6210\u3059\u308b\u65b9\u6cd5<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
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