根据上面的数据再使用pyecharts绘制着色地图
时间: 2023-06-24 22:06:27 浏览: 142
python使用pyecharts库画地图数据可视化的实现
好的,首先需要安装pyecharts和地图数据包:
```python
!pip install pyecharts==1.9.0
!pip install echarts-countries-pypkg
!pip install echarts-china-provinces-pypkg
!pip install echarts-china-cities-pypkg
!pip install echarts-china-counties-pypkg
!pip install echarts-china-misc-pypkg
```
然后,使用以下代码生成着色地图:
```python
from pyecharts import options as opts
from pyecharts.charts import Map
from pyecharts.faker import Faker
# 构造省份-数据字典
data = {"北京": 10, "天津": 20, "上海": 30, "重庆": 40, "河北": 50, "河南": 60, "云南": 70, "辽宁": 80, "黑龙江": 90, "湖南": 100, "安徽": 110, "山东": 120, "新疆": 130, "江苏": 140, "浙江": 150, "江西": 160, "湖北": 170, "广西": 180, "甘肃": 190, "山西": 200, "内蒙古": 210, "陕西": 220, "吉林": 230, "福建": 240, "贵州": 250, "广东": 260, "青海": 270, "西藏": 280, "四川": 290, "宁夏": 300, "海南": 310, "台湾": 320, "香港": 330, "澳门": 340}
# 绘制地图
c = Map()
c.add("数据", [list(z) for z in zip(data.keys(), data.values())], "china")
c.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
c.set_global_opts(title_opts=opts.TitleOpts(title="中国地图"), visualmap_opts=opts.VisualMapOpts(max_=340, is_piecewise=True, pieces=[{"max": 0, "label": "0", "color": "#FFFFFF"}, {"min": 1, "max": 100, "label": "1-100", "color": "#FFEBCD"}, {"min": 101, "max": 200, "label": "101-200", "color": "#FF6347"}, {"min": 201, "max": 300, "label": "201-300", "color": "#EE2C2C"}, {"min": 301, "label": ">300", "color": "#8B0000"}]))
c.render_notebook()
```
这样就可以在Jupyter Notebook中显示着色地图了。你也可以使用`c.render("map.html")`将地图保存为HTML文件。
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