使用如下代码来查看安装的pyecharts版本
import pyecharts
print(pyecharts.__version__)
绘图逻辑
- 选择图表类型
- 添加数据
- 设置全局变量
- 显示及保存图表
1. 柱状图
from pyecharts import Bar
#从pyecharts库中导入Bar子类
bar = Bar("贵州GDP柱状图", "副标题")
#定义Bar()柱状图，同时设置主标题和副标题
bar.add("GDP",["贵阳市", "遵义市", "六盘水市", "安顺市", "黔东南州"],[40, 30, 26, 22, 15])
#调用add()函数添加图表的数据和设置各种配置项
#bar.show_config()
#打印输出图表的所有配置项
bar.render()
#生成render.html文件，也可以设置路径和文件名
2. 横向柱状图
# -*- coding:utf-8 -*-
from pyecharts import Bar
bar = Bar("贵州GDP柱状图", "副标题")
city = ["贵阳市", "遵义市", "六盘水市", "安顺市", "黔东南州"]
data1 = [40, 30, 26, 22, 15]
data2 = [13, 43, 32, 38, 20]
bar.add("2017年GDP", city, data1)
bar.add("2016年GDP", city, data2, is_convert=True)
#bar.show_config()
bar.render()
3. 折线图
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()
from pyecharts import Line
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()
4. 散点图
from pyecharts import Scatter
scatter = Scatter("散点图", "一年的降水量与蒸发量")
#xais_name是设置横坐标名称，这里由于显示问题，还需要将y轴名称与y轴的距离进行设置
scatter.add("降水量与蒸发量的散点分布", data1,data2,xaxis_name="降水量",yaxis_name="蒸发量",
yaxis_name_gap=40)
scatter.render()
5. Pie 饼图
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()
中国地图
from pyecharts import Map
province_distribution = {'河南': 45.23, '北京': 37.56, '河北': 21, '辽宁': 12, '江西': 6, '上海': 20, '安徽': 10, '江苏': 16, '湖南': 9,'浙江': 13, '海南': 2, '广东': 22, '湖北': 8, '黑龙江': 11, '澳门': 1, '陕西': 11, '四川': 7, '内蒙古': 3, '重庆': 3,'云南': 6, '贵州': 2, '吉林': 3, '山西': 12, '山东': 11, '福建': 4, '青海': 1, '天津': 1,'其他': 1}
provice = list(province_distribution.keys())
values = list(province_distribution.values())
map = Map("中国地图", '中国地图', width=1200, height=600)
map.add("", provice, values, visual_range=[0, 50], maptype='china', is_visualmap=True,visual_text_color='#000')
map.render(path="中国地图.html")
词云☁️
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()