小白学Python（14）——pyecharts 绘制K线图 Kline/Candlestick
作者：互联网
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()
标签：pyecharts,14,Python,kline,Kline,2320.26,True,opts 来源： https://www.cnblogs.com/adam012019/p/11399565.html