如何设置多个类别的熊猫组bokeh box图的初始缩放

import pandas as pd

# 假设df是一个包含'category'和'value'列的DataFrame
df = pd.DataFrame({
    'category': ['A', 'B', 'A', 'B', 'A', 'B'],
    'value': [1, 2, 3, 4, 5, 6]
})

# 对数据进行分组
grouped = df.groupby('category')

from bokeh.plotting import figure, show, output_file
from bokeh.models import BoxAnnotation

# 创建一个新的图表
p = figure(plot_width=400, plot_height=400, tools='')

# 为每个类别添加Box Plot
for name, group in grouped:
    q1 = group['value'].quantile(0.25)
    q2 = group['value'].quantile(0.5)
    q3 = group['value'].quantile(0.75)
    iqr = q3 - q1
    upper = min(group['value'].max(), q3 + 1.5 * iqr)
    lower = max(group['value'].min(), q1 - 1.5 * iqr)
    
    box = BoxAnnotation(top=upper, bottom=lower, fill_color='blue', fill_alpha=0.5)
    p.add_layout(box)
    p.segment(x0=name, y0=q1, x1=name, y1=q3, line_color='black')
    p.vbar(x=name, top=q2, width=0.7, line_color='black', fill_color='white')

# 设置图表的标题和轴标签
p.title.text = "Box Plot for Multiple Categories"
p.xaxis.axis_label = 'Category'
p.yaxis.axis_label = 'Value'

from bokeh.models import WheelZoomTool

# 添加缩放工具
p.add_tools(WheelZoomTool())

# 设置初始缩放范围
p.x_range.start = df['category'].min()
p.x_range.end = df['category'].max()
p.y_range.start = df['value'].min() - 1
p.y_range.end = df['value'].max() + 1

output_file("box_plot.html")
show(p)