import numpy as np
from bokeh.layouts import column
from bokeh.models import ColumnDataSource, Metric, RangeTool, ScaleBar
from bokeh.plotting import figure, show
n_points = 3000
x_values = np.linspace(0, 100, n_points)
y_values = np.random.randn(n_points).cumsum()
source = ColumnDataSource(data=dict(x=x_values, y=y_values))
detailed_plot = figure(
width=800,
height=300,
tools=["xpan", "xzoom_in", "xzoom_out", "reset", "wheel_zoom"],
toolbar_location="above",
active_scroll="wheel_zoom",
background_fill_color="#efefef",
x_range=(22, 30),
y_axis_location=None,
)
detailed_plot.line("x", "y", source=source)
scale_bar = ScaleBar(
range=detailed_plot.y_range,
unit="MeV",
dimensional=Metric(base_unit="eV"),
orientation="vertical",
location="top_left",
background_fill_color=None,
border_line_color=None,
)
detailed_plot.add_layout(scale_bar)
select_plot = figure(
width=detailed_plot.width,
height=150,
y_range=detailed_plot.y_range,
y_axis_location=None,
tools="",
toolbar_location=None,
background_fill_color=detailed_plot.background_fill_color,
)
select_plot.line("x", "y", source=source)
select_plot.x_range.range_padding = 0
select_plot.ygrid.grid_line_color = None
range_tool = RangeTool(x_range=detailed_plot.x_range)
range_tool.overlay.fill_color = "navy"
range_tool.overlay.fill_alpha = 0.2
select_plot.add_tools(range_tool)
show(column(detailed_plot, select_plot))
