数据可视化第四章答案

热狗大赛大胃王前三

from pyecharts import Pie
import pandas as pd
hotplace = pd.read_csv("hot-dog-places.csv", header=None)
hotplace = pd.DataFrame(hotplace.values.T, index=hotplace.columns, columns=['year', 'A', 'B', 'C'])
print (list(hotplace.A)[10])
pie = Pie(
	"大胃王比赛历年比赛前三甲情况对比",
	"2000-2010",
	title_pos="center")
for i in range(len(list(hotplace.year))):
	x = 10
	y = 30
	if i < 5:
		x += 18 * i
	if i >= 5:
		x += 15 * (i - 5)
		y = 70
	pie.add(
		"", ["第一名", "第二名", "第三名"], [list(hotplace.A)[i], list(hotplace.B)[i], list(hotplace.C)[i]],
		center=[x, y], radius=[18, 24], label_pos='center', is_label_show=True, label_text_color=None, legend_top="center")
pie.render("大胃王比赛历年比赛前三甲情况对比.html")

柱状图堆叠示例

from pyecharts import Bar
import pandas as pd
pre_approval_rate=pd.read_csv("presidential_approval_rate.csv")
bar=Bar("柱状图数据堆叠示例")
bar.add("支持",pre_approval_rate['political_issue'],pre_approval_rate['support'],is_stack=True)
bar.add("反对",pre_approval_rate['political_issue'],pre_approval_rate['oppose'],is_stack=True)
bar.add("不发表意见",pre_approval_rate["political_issue"],pre_approval_rate['no_opinion'],xaxis_rotate=30,is_stack=True)
bar.render('3.堆叠柱形图.html')

人口老龄化

#encoding:utf-8
from pyecharts import Line
import pandas as pd
year_population_age=pd.read_csv('us_population_by_age.csv')
#面积折线图
line3=Line("人口老龄化",width=1000,height=600)
line3.add("5岁以下",year_population_age['year'], year_population_age['year_under5'],is_fill=True,
          area_color='red',area_opacity=0.5,mark_point=['max'],is_stack=True)
#横坐标，纵坐标，is_fill:是否填充，area_color:填充颜色，area_opacity:透明度，mark_point：最大值，is_smooth:是否设置成圆滑曲线
line3.add("5至19岁",year_population_age['year'], year_population_age['year5_19'],is_fill=True,
          area_color='blue',area_opacity=0.5,is_smooth=True,is_stack=True)
line3.add("20至44岁",year_population_age['year'], year_population_age['year20_44'],is_fill=True,
          area_color='green',area_opacity=0.5,is_smooth=True,is_stack=True)
line3.add("45至64岁",year_population_age['year'], year_population_age['year45_64'],is_fill=True,
          area_color='yellow',area_opacity=0.5,is_smooth=True,is_stack=True)
line3.add("65岁以上",year_population_age['year'], year_population_age['year65above'],is_fill=True,
          area_color='purple',area_opacity=0.5,is_smooth=True,xaxis_rotate=30,legend_orient="vertical",legend_pos="right",is_stack=True)
#xaxis_rotate：x轴倾斜30°，legend_pos：标签的位置
line3.render(path='人口老龄化.html')

树图径向图

import os
import json
import codecs
from pyecharts import Tree
with codecs.open(os.path.join("flare.json"),"r",encoding="utf-8") as f:
    j=json.load(f)
data=[j]
tree=Tree(width=1200,height=800)
tree.add("",data)
tree.render('树图.html')