pyecharts直角坐标系图标

• 本项目整理了目前pyecharts支持的所有图表以及基础配置项～

• 所有代码均基于Pyecharts v1.7.1版本，均已全部运行通过

from pyecharts.charts import *
from pyecharts.components import Table
from pyecharts import options as opts
from pyecharts.commons.utils import JsCode
import random
import datetime

资源引用

• Pyecharts图表生成需要一些静态资源文件，通过下面代码更改为kesci提供的资源，提高加载速度～

from pyecharts.globals import CurrentConfig

CurrentConfig.ONLINE_HOST = "https://cdn.kesci.com/lib/pyecharts_assets/"

所有图表¶

囊括了目前Pyecharts中支持的所有图表，所有示例均为默认配置～

直角坐标系图表¶

直方图

# 虚假数据
x_data = ['Apple', 'Huawei', 'Xiaomi', 'Oppo', 'Vivo', 'Meizu']
y_data = [123, 153, 89, 107, 98, 23]


bar = (Bar()
       .add_xaxis(x_data)
       .add_yaxis('', y_data)
      )

bar.render_notebook()

折线图

# 虚假数据
x_data = ['Apple', 'Huawei', 'Xiaomi', 'Oppo', 'Vivo', 'Meizu']
y_data = [123, 153, 89, 107, 98, 23]

line = (Line()
       .add_xaxis(x_data)
       .add_yaxis('', y_data)
      )

line.render_notebook()

箱形图

# 虚假数据
x_data = ['Apple', 'Huawei', 'Xiaomi', 'Oppo', 'Vivo', 'Meizu']
y_data = [[random.randint(100, 200) for i in range(10)] for item in x_data]

Box = Boxplot()
Box.add_xaxis(x_data)
Box.add_yaxis("", Box.prepare_data(y_data))
Box.render_notebook()

散点图

# 虚假数据
x_data = ['Apple', 'Huawei', 'Xiaomi', 'Oppo', 'Vivo', 'Meizu']
y_data = [123, 153, 89, 107, 98, 23]

scatter = (Scatter()
           .add_xaxis(x_data)
           .add_yaxis('', y_data)
           )

scatter.render_notebook()

带涟漪效果散点图

# 虚假数据
x_data = ['Apple', 'Huawei', 'Xiaomi', 'Oppo', 'Vivo', 'Meizu']
y_data = [123, 153, 89, 107, 98, 23]

effectScatter = (EffectScatter()
           .add_xaxis(x_data)
           .add_yaxis('', y_data)
           )

effectScatter.render_notebook()

k线图

# 虚假数据
date_list = ["2020/4/{}".format(i + 1) for i in range(30)]
y_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],
]

kline = (Kline()
         .add_xaxis(date_list)
         .add_yaxis('', y_data)
         )

kline.render_notebook()

热力图

# 虚假数据
data = [[i, j, random.randint(0, 100)] for i in range(24) for j in range(7)]
hour_list = [str(i) for i in range(24)]
week_list = ['周日', '周一', '周二', '周三', '周四', '周五', '周六']

heat = (HeatMap()
        .add_xaxis(hour_list)
        .add_yaxis("", week_list, data)
        )

heat.render_notebook()

象型图

# 虚假数据
x_data = ['Apple', 'Huawei', 'Xiaomi', 'Oppo', 'Vivo', 'Meizu']
y_data = [123, 153, 89, 107, 98, 23]

pictorialBar = (PictorialBar()
                .add_xaxis(x_data)
                .add_yaxis('', y_data)
                )

pictorialBar.render_notebook()

层叠图

# 虚假数据
x_data = ['Apple', 'Huawei', 'Xiaomi', 'Oppo', 'Vivo', 'Meizu']
y_data_bar = [123, 153, 89, 107, 98, 23]
y_data_line = [153, 107, 23, 89, 123, 107]


bar = (Bar()
       .add_xaxis(x_data)
       .add_yaxis('', y_data_bar)
       )

line = (Line()
        .add_xaxis(x_data)
        .add_yaxis('', y_data_line)
        )

overlap = bar.overlap(line)
overlap.render_notebook()