利用pyecharts制作精美的可视化图表

利用pyecharts制作精美的可视化图表

1、安装

（1）版本问题

现在网上大部分pyecharts的教程都是pyecharts改版之前的也就是v0.5.x版本的

pyecharts 分为 v0.5.x 和 v1.x 两个版本，而新版本是不向下兼容的，通俗来讲就是在v1.x中跑之前版本的代码会报错

（2）如何查看自己当前安装的版本

import pyecharts
print(pyecharts.__version__)

在已经安装的情况下，输入此段代码即可查看当前版本

（3）安装方法

本文的代码用的是v1.x版本的
v0.5.x安装

pip install pyecharts==0.5.11

v0.5.x官方文档
链接: pyecharts官方文档（0.5.x）.

v1.x安装

pip install pyecharts

v1.x官方文档
链接: pyecharts官方文档(1.x).

成功安装之后在cmd中会有如下显示

2、可视化

（1）效果

（2）实现思路

grid

grid

grid

timeline

Map

单页图表

Bar

Pie

最终效果

（3）地图绘制

import pyecharts.options as opts
from pyecharts.globals import ThemeType
from pyecharts.charts import  Map
from pyecharts.faker import Faker

c = (
    Map({"theme":ThemeType.WESTEROS})#设置图表主题
    .add("省GDP",[list (z) for z in zip(gdp['地区'],gdp['2018'])], "china")#添加地图图例以及地图数据
    .set_global_opts(
        title_opts=opts.TitleOpts(title="GDP"),#图表名称
        visualmap_opts=opts.VisualMapOpts(
                is_calculable=True,#左下角图例设置为可拖动
                dimension=0,
                range_text=["High", "Low"],
                range_color=["lightskyblue", "yellow", "orangered"],#图例渐变色
                textstyle_opts=opts.TextStyleOpts(color="#ddd"),#图例中文字的颜色
                min_=10,#图例最小值
                max_=80000,#图例最大值
            ),#图例的各项属性配置
    )
)
c.render_notebook()#在notebook中进行展示
c.render('CSDN_map.html')#保存为HTML文件

（4）饼图绘制

from pyecharts.charts import  Pie
c = (
    Pie()
    .add(
        series_name="GDP",
        data_pair=[list (z) for z in zip(gdp['地区'],gdp['2018'])],

                radius = ["20%", "80%"],  # 设置内半径和外半径
                center = ["60%", "60%"],  # 设置圆心位置
                #rosetype = "radius",  # 玫瑰图模式，通过半径区分数值大小，角度大小表示占比
        itemstyle_opts=opts.ItemStyleOpts(
            border_width=1, border_color="rgba(0,0,0,0.3)"
        ),
        label_opts=opts.LabelOpts(is_show=True),
    )
    .set_colors(["blue", "green", "yellow", "red", "pink", "orange", "purple"])
    .set_global_opts(title_opts=opts.TitleOpts(title="GDP"),legend_opts=opts.LegendOpts(is_show=True))
    .set_series_opts(label_opts = opts.LabelOpts(formatter="{b} : {d}%"))
    
)
c.render_notebook()

（5）柱状图绘制

from pyecharts.charts import  Bar
d = (
    Bar()
    .add_xaxis(list(gdp['地区']))
    .add_yaxis("GDP ", list(gdp['2018']))
    .set_series_opts(label_opts=opts.LabelOpts(is_show=False))
    
    
    #.set_global_opts(legend_opts=opts.LegendOpts(pos_left="20%"))
)
d.render_notebook()

（6）拼接起来并且用timeline组合

def sort(data,i):
    name = list(gdp['地区'])
    data = list(gdp[i])
    result = sorted([list(z) for z in zip(name, data)], key=lambda s: s[1], reverse=True)
    return result

import pyecharts.options as opts
from pyecharts.globals import ThemeType
from pyecharts.commons.utils import JsCode
from pyecharts.charts import Timeline, Grid, Bar, Map, Pie, Line
from pyecharts.faker import Faker
def map_(i):
    c = (
        Map({"theme": ThemeType.DARK})
        .add("省GDP", sort(gdp,i), "china")
        .set_global_opts(
            title_opts=opts.TitleOpts(title="GDP"),
            visualmap_opts=opts.VisualMapOpts(
                    is_calculable=True,
                    dimension=0,
                    pos_left="10",
                    pos_top="top",
                    range_text=["High", "Low"],
                    range_color=["lightskyblue", "yellow", "orangered"],
                    textstyle_opts=opts.TextStyleOpts(color="#ddd"),
                    min_=10,
                    max_=80000,
                ),
        )
    )
    return c

#{"theme": ThemeType.DARK}'''
def make_bar(i):
    name = []
    data = []
    for i in sort(gdp,i):
        name.append(i[0])
        data.append(i[1])
    d = (
        Bar({"theme": ThemeType.DARK})
        .add_xaxis(name)
        .add_yaxis("", data)
        .set_series_opts(label_opts=opts.LabelOpts(is_show=False))
        
        .set_global_opts( 
            title_opts=opts.TitleOpts(title=''), visualmap_opts=opts.VisualMapOpts(
                    is_calculable=True,
                    dimension=0,
                    pos_left="10",
                    pos_top="top",
                    range_text=["High", "Low"],
                    range_color=["lightskyblue", "yellow", "orangered"],
                    textstyle_opts=opts.TextStyleOpts(color="#ddd"),
                    min_=10,
                    max_=80000,
                ),
                  )
        #.set_global_opts(legend_opts=opts.LegendOpts(pos_left="20%"))
    )
    return d
def make_pie(i):
    c = (
        Pie({"theme": ThemeType.DARK})
        .add(
            series_name="",
            data_pair=sort(gdp,i),
            radius=["15%", "35%"],
            center=["80%", "82%"],
            #rosetype = "radius",
            itemstyle_opts=opts.ItemStyleOpts(
                border_width=1, border_color="rgba(0,0,0,0.3)"
            ),
            label_opts=opts.LabelOpts(is_show=False),
        )
        .set_colors(["blue", "green", "yellow", "red", "pink", "orange", "purple"])
        .set_global_opts(title_opts=opts.TitleOpts(title=""),legend_opts=opts.LegendOpts(is_show=False))
        .set_series_opts(label_opts=opts.LabelOpts(is_show=False))#is_show=False label_opts=opts.LabelOpts(formatter="{b}: {c}")
        
    )
    return c


def grid(i):
    grid_chart = (
        Grid(init_opts=opts.InitOpts(width="1600px", height="900px", theme=ThemeType.DARK))
        .add(
            make_bar(i),
            grid_opts=opts.GridOpts(
                pos_left="70", pos_right="45%", pos_top="50%", pos_bottom="20"
            ),
        )
        .add(make_pie(i), grid_opts=opts.GridOpts(pos_left="45%", pos_top="60%"))
        .add(map_(i), grid_opts=opts.GridOpts( pos_top="100%"))
        )
    return grid_chart

def timeline(e) -> Timeline:
    x = Faker.choose()
    tl = Timeline(init_opts=opts.InitOpts(width="1600px", height="900px", theme=e))
    for year in range(2000,2020):
        year = str(year)
        tl.add(grid(year),year+'年')
    tl.add_schema(
        orient="vertical",
        is_auto_play=True,
        is_inverse=True,
        play_interval=5000,
        pos_left="null",
        pos_right="5",
        pos_top="20",
        pos_bottom="20",
        width="60",
        label_opts=opts.LabelOpts(is_show=True, color="#fff"),
    )
    return tl

timeline(ThemeType.WESTEROS).render_notebook()