小白学Python（14）——pyecharts 绘制K线图 Kline/Candlestick

Kline-基本示例

 1 from pyecharts import options as opts
 2 from pyecharts.charts import Kline
 3 
 4 
 5 data = [
 6     [2320.26, 2320.26, 2287.3, 2362.94],
 7     [2300, 2291.3, 2288.26, 2308.38],
 8     [2295.35, 2346.5, 2295.35, 2345.92],
 9     [2347.22, 2358.98, 2337.35, 2363.8],
10     [2360.75, 2382.48, 2347.89, 2383.76],
11     [2383.43, 2385.42, 2371.23, 2391.82],
12     [2377.41, 2419.02, 2369.57, 2421.15],
13     [2425.92, 2428.15, 2417.58, 2440.38],
14     [2411, 2433.13, 2403.3, 2437.42],
15     [2432.68, 2334.48, 2427.7, 2441.73],
16     [2430.69, 2418.53, 2394.22, 2433.89],
17     [2416.62, 2432.4, 2414.4, 2443.03],
18     [2441.91, 2421.56, 2418.43, 2444.8],
19     [2420.26, 2382.91, 2373.53, 2427.07],
20     [2383.49, 2397.18, 2370.61, 2397.94],
21     [2378.82, 2325.95, 2309.17, 2378.82],
22     [2322.94, 2314.16, 2308.76, 2330.88],
23     [2320.62, 2325.82, 2315.01, 2338.78],
24     [2313.74, 2293.34, 2289.89, 2340.71],
25     [2297.77, 2313.22, 2292.03, 2324.63],
26     [2322.32, 2365.59, 2308.92, 2366.16],
27     [2364.54, 2359.51, 2330.86, 2369.65],
28     [2332.08, 2273.4, 2259.25, 2333.54],
29     [2274.81, 2326.31, 2270.1, 2328.14],
30     [2333.61, 2347.18, 2321.6, 2351.44],
31     [2340.44, 2324.29, 2304.27, 2352.02],
32     [2326.42, 2318.61, 2314.59, 2333.67],
33     [2314.68, 2310.59, 2296.58, 2320.96],
34     [2309.16, 2286.6, 2264.83, 2333.29],
35     [2282.17, 2263.97, 2253.25, 2286.33],
36     [2255.77, 2270.28, 2253.31, 2276.22],
37 ]
38 
39 kline=(
40     Kline()
41         .add_xaxis(["2017/7/{}".format(i + 1) for i in range(31)])
42         .add_yaxis("kline", data)
43         .set_global_opts(
44             yaxis_opts=opts.AxisOpts(is_scale=True),
45             xaxis_opts=opts.AxisOpts(is_scale=True),
46             title_opts=opts.TitleOpts(title="Kline-基本示例"),
47         )
48     )
49 kline.render()

Kline-DataZoom-slider

 1 from pyecharts import options as opts
 2 from pyecharts.charts import Kline
 3 
 4 
 5 data = [
 6     [2320.26, 2320.26, 2287.3, 2362.94],
 7     [2300, 2291.3, 2288.26, 2308.38],
 8     [2295.35, 2346.5, 2295.35, 2345.92],
 9     [2347.22, 2358.98, 2337.35, 2363.8],
10     [2360.75, 2382.48, 2347.89, 2383.76],
11     [2383.43, 2385.42, 2371.23, 2391.82],
12     [2377.41, 2419.02, 2369.57, 2421.15],
13     [2425.92, 2428.15, 2417.58, 2440.38],
14     [2411, 2433.13, 2403.3, 2437.42],
15     [2432.68, 2334.48, 2427.7, 2441.73],
16     [2430.69, 2418.53, 2394.22, 2433.89],
17     [2416.62, 2432.4, 2414.4, 2443.03],
18     [2441.91, 2421.56, 2418.43, 2444.8],
19     [2420.26, 2382.91, 2373.53, 2427.07],
20     [2383.49, 2397.18, 2370.61, 2397.94],
21     [2378.82, 2325.95, 2309.17, 2378.82],
22     [2322.94, 2314.16, 2308.76, 2330.88],
23     [2320.62, 2325.82, 2315.01, 2338.78],
24     [2313.74, 2293.34, 2289.89, 2340.71],
25     [2297.77, 2313.22, 2292.03, 2324.63],
26     [2322.32, 2365.59, 2308.92, 2366.16],
27     [2364.54, 2359.51, 2330.86, 2369.65],
28     [2332.08, 2273.4, 2259.25, 2333.54],
29     [2274.81, 2326.31, 2270.1, 2328.14],
30     [2333.61, 2347.18, 2321.6, 2351.44],
31     [2340.44, 2324.29, 2304.27, 2352.02],
32     [2326.42, 2318.61, 2314.59, 2333.67],
33     [2314.68, 2310.59, 2296.58, 2320.96],
34     [2309.16, 2286.6, 2264.83, 2333.29],
35     [2282.17, 2263.97, 2253.25, 2286.33],
36     [2255.77, 2270.28, 2253.31, 2276.22],
37 ]
38 
39 kline=(
40    Kline()
41         .add_xaxis(["2017/7/{}".format(i + 1) for i in range(31)])
42         .add_yaxis("kline", data)
43         .set_global_opts(
44             xaxis_opts=opts.AxisOpts(is_scale=True),
45             yaxis_opts=opts.AxisOpts(
46                 is_scale=True,
47                 splitarea_opts=opts.SplitAreaOpts(
48                     is_show=True, areastyle_opts=opts.AreaStyleOpts(opacity=1)
49                 ),
50             ),
51             datazoom_opts=[opts.DataZoomOpts()],
52             title_opts=opts.TitleOpts(title="Kline-DataZoom-slider"),
53         )
54     )
55 kline.render()