from pyecharts import options as opts from pyecharts.charts import Bar from pyecharts.faker import Faker c = ( Bar() .add_xaxis(Faker.choose()) .add_yaxis("商家A", Faker.values()) .add_yaxis("商家B", Faker.values()) .set_global_opts( title_opts=opts.TitleOpts(title="Bar-Brush示例", subtitle="我是副标题"), brush_opts=opts.BrushOpts(), ) .render("bar_with_brush.html") )请你改写这段代码，不要生成html，而是直接在编译器里显示出图形来

要在编译器中显示图形，可以使用Jupyter Notebook或者在PyCharm中使用pyecharts的`render_notebook()`函数。在这里，我将展示在PyCharm中使用`render_notebook()`的方法。

首先，安装`pyecharts`的扩展库`jupyter-echarts-pypkg`：

!pip install jupyter-echarts-pypkg

然后，在代码中添加以下行：

from pyecharts.render import make_snapshot
from snapshot_selenium import snapshot as driver
from IPython.display import Image

并将代码末尾的`.render("bar_with_brush.html")`修改为`.render_notebook()`。最后，添加以下代码：

make_snapshot(driver, c.render(), "bar_with_brush.png")
Image(filename="bar_with_brush.png")

这将生成一个名为"bar_with_brush.png"的图像文件，并在编译器中显示出图形。

完整修改后的代码如下：

from pyecharts import options as opts
from pyecharts.charts import Bar
from pyecharts.faker import Faker
from pyecharts.render import make_snapshot
from snapshot_selenium import snapshot as driver
from IPython.display import Image

c = (
    Bar()
    .add_xaxis(Faker.choose())
    .add_yaxis("商家A", Faker.values())
    .add_yaxis("商家B", Faker.values())
    .set_global_opts(
        title_opts=opts.TitleOpts(title="Bar-Brush示例", subtitle="我是副标题"),
        brush_opts=opts.BrushOpts(),
    )
)

make_snapshot(driver, c.render(), "bar_with_brush.png")
Image(filename="bar_with_brush.png")