十分感謝你的解答, 我修改如下 , 第二個問題 HoverTool 顯示的問題, 已經得到解答, 但第一個問題 , 使用 x_range=p.x_range 仍然會有縮成一團狀況.
分別看 p , p2 都正常, 弄在一塊就會有問題 ...

from bokeh.plotting import figure, show, output_file
from bokeh.models import ColumnDataSource, HoverTool
from bokeh.layouts import column
import pandas as pd

# 準備數據
data = {
    'Date': pd.date_range(start='2021-01-01', periods=10, freq='D'),
    'Open': [100, 105, 103, 107, 104, 101, 108, 110, 107, 105],
    'Close': [105, 103, 107, 104, 108, 102, 109, 111, 106, 104],
    'High': [110, 108, 109, 109, 110, 103, 112, 115, 108, 107],
    'Low': [99, 101, 102, 103, 103, 100, 106, 109, 104, 102],
    'Volume': [1200, 1500, 1800, 1600, 1700, 1300, 1900, 2000, 1650, 1550]
}
df = pd.DataFrame(data)
df['Date_str'] = df['Date'].dt.strftime('%Y-%m-%d')

# 設置數據源
df['inc'] = df.Close > df.Open
df['dec'] = df.Open > df.Close
source = ColumnDataSource(df)

# 創建蠟燭圖
p = figure(x_axis_type="datetime", title="蠟燭圖與成交量",
           sizing_mode="stretch_width", height=350)
# 添加懸停工具
hover = HoverTool(
    tooltips=[
        ("Date", "@Date_str"),
        ("Open", "@Open"),
        ("Close", "@Close"),
        ("High", "@High"),
        ("Low", "@Low")
    ],
    formatters={'@Date_str': 'datetime'},  # 確保此處無誤
    mode='vline'
)
p.add_tools(hover)
p.grid.grid_line_alpha=0.3

inc = df.Close > df.Open
dec = df.Open > df.Close
w = 12*60*60*1000  # 半天的毫秒數

p.segment('Date', 'High', 'Date', 'Low', source=source, color="black")
p.vbar('Date', w, 'Open', 'Close', source=source, fill_color="#D5E1DD", line_color="black", name="inc")
p.vbar('Date', w, 'Open', 'Close', source=source, fill_color="#F2583E", line_color="black", name="dec")

# 創建成交量圖
p2 = figure(x_axis_type="datetime", title="成交量",
            sizing_mode="stretch_width", height=300, x_range=p.x_range)  # 保持x軸一致
p2.vbar('Date', w, 'Volume', source=source, color="gray", alpha=0.7)


p.xaxis.axis_label = '日期'
p.yaxis.axis_label = '價格'
p2.xaxis.axis_label = '日期'
p2.yaxis.axis_label = '成交量'
# 添加第二個懸停工具
hover2 = HoverTool(
    tooltips=[
        ("Date", "@Date_str"),
        ("Volume", "@Volume")
    ],
    formatters={'@Date_str': 'printf'},
    mode='vline'
)
p2.add_tools(hover2)

# 使用column布局將兩個圖形放在一起
layout = column(p, p2)

# 輸出文件
output_file("candlestick_and_volume.html")
show(layout)

我找到修改方式 , 把 sizing_mode="stretch_width" 改成固定 width

p = figure(x_axis_type="datetime", title="蠟燭圖與成交量",
           width=800, height=350)
 p2 = figure(x_axis_type="datetime", title="成交量",
           width=800, height=300, x_range=p.x_range)