python可視化大屏-疫情監控圖（2）玫瑰圖

結果截圖

 

 數據准備

數據的爬取：https://www.cnblogs.com/qi-6666/p/15525301.html

導入庫

from pyecharts import options as opts
from pyecharts.charts import Geo
from pyecharts.globals import ChartType, SymbolType
from pyecharts.charts import Map
import pandas as pd
from pyecharts.charts import Bar
from pyecharts.globals import ThemeType

from pyecharts.charts import Map,Page

 

玫瑰圖（使用軟件：jupyter python3）

from pyecharts import options as opts
import pandas as pd
data_age = pd.read_excel('實時更新：新型冠狀病毒肺炎疫情地圖3.xlsx')
# 年齡數據分箱
data_age['確診區間'] = pd.cut(data_age['確診數'],
                       bins = [0,60,120,200],
                       labels = ['60以下','60-120','120以上'])
# data_age
# 年齡區間數量統計
age_counts = data_age['確診區間'].value_counts()
# age_counts
# 數據結構重組
charts_data_age = [z for z in zip(age_counts.index,age_counts.tolist())]
from pyecharts.charts import Pie
from pyecharts.globals import ThemeType
pie = (
    Pie(init_opts=opts.InitOpts(width="600px", height="400px",theme=ThemeType.DARK)) # 設置背景的大小
    .add(
        series_name = "確診數", # 必須項
        data_pair = charts_data_age,
        radius=["20%", "50%"], # 設置環的大小
        rosetype="radius", # 設置玫瑰圖類型
        label_opts=opts.LabelOpts(formatter="{a}：{b}\n個數：{c}\n占比：{d}%"), # 設置標簽內容格式
    )
    .set_global_opts(title_opts=opts.TitleOpts(title="確診比例"))
)
pie.render_notebook()

運行結果

 

 

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