Python 数据可视化pyecharts的使用详解

pip install pyecharts

pip install echarts-countries-pypkg
pip install echarts-china-provinces-pypkg
pip install echarts-china-cities-pypkg

sudo pip3 install echarts-countries-pypkg 
sudo pip3 install echarts-china-provinces-pypkg
sudo pip3 install echarts-china-cities-pypkg
sudo pip3 install echarts-countries-pypkg 
sudo pip3 install echarts-china-provinces-pypkg
sudo pip3 install echarts-china-cities-pypkg

from pyecharts import Bar
bar =Bar("我的第一个图表", "这里是副标题")
bar.add("服装", ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"], [5, 20, 36, 10, 75, 90])
bar.show_config()
bar.render()

from pyecharts import Bar
bar =Bar("x 轴和 y 轴交换")
bar.add("商家A", attr, v1)
bar.add("商家B", attr, v2, is_convert=True)
bar.render()

bar = Bar()
bar.add('格式化',["atf_tb1","shop"],[10,50])
bar.add("范围", ["shop"], [120])
bar.render()

from pyecharts import Pie
attr =["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
v1 =[11, 12, 13, 10, 10, 10]
pie =Pie("饼图示例")
pie.add("", attr, v1, is_label_show=True)
pie.show_config()
pie.render()

from pyecharts import WordCloud 
name =['Sam S Club', 'Macys', 'Amy Schumer', 'Jurassic World', 'Charter Communications', 'Chick Fil A', 'Planet Fitness', 'Pitch Perfect', 'Express', 'Home', 'Johnny Depp', 'Lena Dunham', 'Lewis Hamilton', 'KXAN', 'Mary Ellen Mark', 'Farrah Abraham', 'Rita Ora', 'Serena Williams', 'NCAA baseball tournament', 'Point Break']
value =[10000, 6181, 4386, 4055, 2467, 2244, 1898, 1484, 1112, 965, 847, 582, 555, 550, 462, 366, 360, 282, 273, 265]
wordcloud =WordCloud(width=1300, height=620)
wordcloud.add("", name, value, word_size_range=[20, 100])
wordcloud.show_config()
wordcloud.render()

wordcloud =WordCloud(width=1300, height=620)
wordcloud.add("", name, value, word_size_range=[30, 100], shape='diamond')
wordcloud.show_config()
wordcloud.render()

from pyecharts import Geo 
data =[("海门", 9), ("鄂尔多斯", 12), ("招远", 12), ("舟山", 12), ("齐齐哈尔", 14), ("盐城", 15)]
geo =Geo("全国主要城市空气质量", "data from pm2.5", title_color="#fff", title_pos="center", width=1200, height=600, background_color='#404a59')
attr, value =geo.cast(data)
geo.add("", attr, value, type="effectScatter", is_random=True, effect_scale=5)
geo.show_config()
geo.render()

#!/usr/bin/env python
# -*- coding:utf-8 -*-
# Author: jyroy
from pyecharts import Geo
 if __name__ == '__main__':

 list_city_name=["100，30-1","130，40-2"]
 list_num = [["value1","value2"],["value3"]]
 geo_cities_coords = {"100，30-1":[100,30],"130，40-2":[130,40]}

 geo = Geo("Geo 实例")
 geo.add("",list_city_name, list_num, geo_cities_coords=geo_cities_coords)
 geo.render()

 for n, m in data.items(): #data是我从数据库中读取的城市的字典数据
  list_1 = []
  list_2 = []
  list_1.append(n)
  list_2.append(m)
  try:
   geo.add("", list_1, list_2, visual_range=[0, 3000], visual_text_color="#fff", symbol_size=15, is_visualmap=True)
  except Exception as e:
   pass

from pyecharts import Line 
attr =["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
v1 =[5, 20, 36, 10, 10, 100]v2 =[55, 60, 16, 20, 15, 80]
line =Line("折线图示例")
line.add("商家A", attr, v1, mark_point=["average"])
line.add("商家B", attr, v2, is_smooth=True, mark_line=["max", "average"])
line.show_config()
line.render()

line =Line("折线图-面积图示例")
line.add("商家A", attr, v1, is_fill=True, line_opacity=0.2, area_opacity=0.4, symbol=None)
line.add("商家B", attr, v2, is_fill=True, area_color='#000', area_opacity=0.3, is_smooth=True)
line.show_config()
line.render()