5.pyecharts k线图

作者: 无聊的兔子 | 来源:发表于2021-08-19 10:54 被阅读0次

    一、适用条件
    1、k线图:一般用于股市,用途较小,这里直接取pyecharts的官网例子
    二、代码实现
    1.导入所需包

    from pyecharts import options as opts
    from pyecharts.charts import Kline
    

    2.数据整理

    data = [
        [2320.26, 2320.26, 2287.3, 2362.94],
        [2300, 2291.3, 2288.26, 2308.38],
        [2295.35, 2346.5, 2295.35, 2345.92],
        [2347.22, 2358.98, 2337.35, 2363.8],
        [2360.75, 2382.48, 2347.89, 2383.76],
        [2383.43, 2385.42, 2371.23, 2391.82],
        [2377.41, 2419.02, 2369.57, 2421.15],
        [2425.92, 2428.15, 2417.58, 2440.38],
        [2411, 2433.13, 2403.3, 2437.42],
        [2432.68, 2334.48, 2427.7, 2441.73],
        [2430.69, 2418.53, 2394.22, 2433.89],
        [2416.62, 2432.4, 2414.4, 2443.03],
        [2441.91, 2421.56, 2418.43, 2444.8],
        [2420.26, 2382.91, 2373.53, 2427.07],
        [2383.49, 2397.18, 2370.61, 2397.94],
        [2378.82, 2325.95, 2309.17, 2378.82],
        [2322.94, 2314.16, 2308.76, 2330.88],
        [2320.62, 2325.82, 2315.01, 2338.78],
        [2313.74, 2293.34, 2289.89, 2340.71],
        [2297.77, 2313.22, 2292.03, 2324.63],
        [2322.32, 2365.59, 2308.92, 2366.16],
        [2364.54, 2359.51, 2330.86, 2369.65],
        [2332.08, 2273.4, 2259.25, 2333.54],
        [2274.81, 2326.31, 2270.1, 2328.14],
        [2333.61, 2347.18, 2321.6, 2351.44],
        [2340.44, 2324.29, 2304.27, 2352.02],
        [2326.42, 2318.61, 2314.59, 2333.67],
        [2314.68, 2310.59, 2296.58, 2320.96],
        [2309.16, 2286.6, 2264.83, 2333.29],
        [2282.17, 2263.97, 2253.25, 2286.33],
        [2255.77, 2270.28, 2253.31, 2276.22],
    ]
    

    3 k线图

       c = (
        Kline()
        .add_xaxis(["2017/7/{}".format(i + 1) for i in range(31)])
        .add_yaxis("kline", data)
        .set_global_opts(
            yaxis_opts=opts.AxisOpts(
                is_scale=True,
                splitarea_opts=opts.SplitAreaOpts(
                    is_show=True, areastyle_opts=opts.AreaStyleOpts(opacity=1)
                ),
            ),
            xaxis_opts=opts.AxisOpts(is_scale=True),
            datazoom_opts=[opts.DataZoomOpts(type_="inside")],
            title_opts=opts.TitleOpts(title="Kline-基本示例"),
            
        )
        .render("1.html")
    )
        )
    
    5_1.gif

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