PyEcharts 数据可视化

1.0 Bar 柱状图

from pyecharts.charts import Bar

bar = Bar()
bar.add_xaxis(["衬衣", "羊毛衫", "西装", "裤子", "鞋子", "袜子"])
bar.add_yaxis("商家", [5, 20, 40, 10, 70, 90])
# 相当于
bar = (
    Bar()
    .add_xaxis(["衬衣", "羊毛衫", "西装", "裤子", "鞋子", "袜子"])
    .add_yaxis("商家", [5, 20, 40, 10, 70, 90])
    .add_yaxis("商家B", [15, 6, 45, 20, 35, 66]) # 支持两个柱子同时生成
    .set_global_opts(title_opts=opts.TitleOpts(title="主标题", subtitle="副标题")) # 生成标题
)


bar.render("bar.html") # 渲染为 bar.html，默认是 render.html

• 效果

• 生成图片

from snapshot_selenium import snapshot as driver
from pyecharts.render import make_snapshot
def bar_chart() -> Bar:
    bar = (
        Bar()
        .add_xaxis(["衬衣", "羊毛衫", "西装", "裤子", "鞋子", "袜子"])
        .add_yaxis("商家", [5, 20, 40, 10, 70, 90])
    )
    return bar

# 需要安装 snapshot-selenium 或者 snapshot-phantomjs
make_snapshot(driver, bar_chart().render(), "bar.png")
# 调用函数bar_chart()进行生成
# 可以直接使用bar.render()，其中bar=Bar()

2.0 饼图