软件测试|Python数据可视化神器——pyecharts教程（五）

前言

之前的几篇文章我们讲述了使用pyecharts绘制柱状图，地理信息图，饼图，双y轴图形的绘制，然后有朋友跟我说，最近沉迷股市，我这个框架能不能绘制K线图，他要从K线图中找规律，寻找逆风翻盘的机会，我跟他说，可以，安排，这篇文章我们就介绍一下使用pyecharts绘制K线图股票几点开盘收盘。

数据准备

首先，什么是K线图？K线图，股市及期货市场中的K线图的画法包含四个数据，即开盘价、最高价、最低价、收盘价，所有的k线都是围绕这四个数据展开，反映大势的状况和价格信息股票几点开盘收盘。如果把每日的K线图放在一张纸上，就能得到日K线图，同样也可画出周K线图、月K线图。

我们本篇文章以日K线图为例进行绘制，所以我们就需要获得一支股票，一段时间内的开盘价、最高价、最低价、收盘价股票几点开盘收盘。

# 取一支股票某一个月每一个交易日的开盘价、最高价、最低价、收盘价股票几点开盘收盘，获取步骤下一篇文章我们将进行介绍

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],

展开全文

[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],

绘制K线图

绘制K线图需要先引入Kline，pyecharts直接支持K线图绘制，下面是我们的代码股票几点开盘收盘。

from pyecharts import options as opts

from pyecharts.charts import Kline

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],

kline = (

Kline()

.add_xaxis(["2022/7/{}".format(i + 1) for i in range(31)])

.add_yaxis("kline", data)

.set_global_opts(

yaxis_opts=opts.AxisOpts(is_scale=True),

xaxis_opts=opts.AxisOpts(is_scale=True),

title_opts=opts.TitleOpts(title="某股票2022年7月份K线图"),

kline.render()

绘制图像如下：

绘制可滑动K线图

上方代码绘制的图像将每一天的股价进行了展示，但是还不够方便我们的阅读，我们可以加上滑动的参数，使得我们查看K线图更加方便，我们只需要加上滑动的代码即可股票几点开盘收盘。代码如下:

from pyecharts import options as opts

from pyecharts.charts import Kline

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],

kline = (

Kline()

.add_xaxis(["2012/7/{}".format(i + 1) for i in range(31)])

.add_yaxis("kline", data)

.set_global_opts(

xaxis_opts=opts.AxisOpts(is_scale=True),

yaxis_opts=opts.AxisOpts(

is_scale=True,

splitarea_opts=opts.SplitAreaOpts(

is_show=True, areastyle_opts=opts.AreaStyleOpts(opacity=1)

datazoom_opts=[opts.DataZoomOpts()],

title_opts=opts.TitleOpts(title="某股票2022年7月滑动K线图"),

kline.render()

绘制图像如下:

总结

本文主要介绍了使用pyecharts绘制K线图的步骤，下一篇文章我们将讲解获取股票价格数据的步骤，期待大家的拍砖和建议股票几点开盘收盘。