使用制表符和多个y轴时，在Bokeh中对齐子地图轴

from bokeh.plotting import figure, show
from bokeh.io import output_notebook
from bokeh.models import ColumnDataSource, RangeTool, LinearAxis, Tabs, Panel

# 创建figure对象
p = figure(plot_width=800, plot_height=400, x_axis_type="datetime")

# 创建ColumnDataSource用于存储数据
source = ColumnDataSource(data=dict(date=[...], y1=[...], y2=[...]))

# 创建子地图轴1
p.yaxis.axis_label = "y1"
p.line('date', 'y1', source=source, line_color="blue")

# 创建子地图轴2
extra_y_range = RangeTool(y_range_name="y2")
p.add_tools(extra_y_range)
p.extra_y_ranges = {"y2": extra_y_range}
p.line('date', 'y2', source=source, y_range_name="y2", line_color="red")

# 创建多标签选项卡和面板
tabs = []
tabs.append(Panel(child=p, title="图表1"))

# 创建子地图轴3
p3 = figure(plot_width=800, plot_height=400, x_axis_type="datetime")
p3.yaxis.axis_label = "y3"
p3.line('date', 'y3', source=source, line_color="green")
tabs.append(Panel(child=p3, title="图表2"))

# 创建子地图轴4
p4 = figure(plot_width=800, plot_height=400, x_axis_type="datetime")
p4.yaxis.axis_label = "y4"
p4.line('date', 'y4', source=source, line_color="orange")
tabs.append(Panel(child=p4, title="图表3"))

# 创建多标签选项卡
tabs = Tabs(tabs=tabs)

# 在notebook中显示图表
output_notebook()
show(tabs)