数据可视化 pycharts实现时间数据可视化

墨染枫2024-01-30 22:24
自用版
数据格式为：
运行效果为：
python 复制代码
from pyecharts import options as opts
from pyecharts.charts import Polar, Page
import csv
filename = "./hot-dog-places.csv"
data_x = []
data_y = []
with open(filename) as f:
   reader = csv.reader(f)
   for data_row in reader:
      data_x.append(data_row)
x = data_x[0]
y1 = data_x[1]
y1 = [float(i) for i in y1]
y2 = [float(i) for i in data_x[2]]
y3 = [float(i) for i in data_x[3]]
#作第一个图
def polar1() -> Polar:
    c1 = (
        Polar(init_opts=opts.InitOpts(width="1000px", height="1000px"))
        .add_schema(radiusaxis_opts=opts.RadiusAxisOpts(data=x),
                    angleaxis_opts=opts.AngleAxisOpts(is_clockwise=True))
        .add("冠军", y1, type_="bar", stack="stack0")
        .add("亚军", y2, type_="bar", stack="stack0")
        .add("季军", y3, type_="bar", stack="stack0")
        .set_global_opts(title_opts=opts.TitleOpts(title="图例1"))
)
    return c1
#作第二个图
def polar2() -> Polar:
    c2 = (
        Polar(init_opts=opts.InitOpts(width="1000px", height="1000px"))
        .add_schema(angleaxis_opts=opts.AngleAxisOpts(data=x, is_clockwise=True))
        .add("冠军", y1, type_="bar", stack="stack0")
        .add("亚军", y2, type_="bar", stack="stack0")
        .add("季军", y3, type_="bar", stack="stack0")
        .set_global_opts(title_opts=opts.TitleOpts(title="图例2"))
)
    return c2
def creatPage():
    page = Page(layout=Page.DraggablePageLayout)
    page.add(
        polar1(),
        polar2()
    )
    page.render("时间数据可视化实验.html")

if __name__ == "__main__":
    creatPage()