pip install bokeh

from bokeh.plotting import figure, show
from bokeh.models import ColumnDataSource
from bokeh.palettes import Category10_5
from bokeh.io import output_file

def create_bokeh_plots():
# Sample data
x_values = [1, 2, 3, 4, 5]
y1_values = [3, 7, 1, 4, 2]
y2_values = [2, 4, 6, 8, 10]

# Create a Bokeh figure
p1 = figure(title="Line Plot", x_axis_label="X-axis", y_axis_label="Y-axis")
p2 = figure(title="Bar Plot", x_axis_label="X-axis", y_axis_label="Y-axis")
p3 = figure(title="Scatter Plot", x_axis_label="X-axis", y_axis_label="Y-axis")
p4 = figure(title="Stacked Area Plot", x_axis_label="X-axis", y_axis_label="Y-axis", y_range=(0, 15))

# Create ColumnDataSource for the data
source = ColumnDataSource(data={'x': x_values, 'y1': y1_values, 'y2': y2_values})

# Line Plot
p1.line(x='x', y='y1', source=source, line_width=2, line_color=Category10_5[0], legend_label='Line 1')
p1.line(x='x', y='y2', source=source, line_width=2, line_color=Category10_5[1], legend_label='Line 2')

# Bar Plot
p2.vbar(x='x', top='y1', width=0.5, source=source, color=Category10_5[0], legend_label='Bar 1')
p2.vbar(x='x', top='y2', width=0.5, source=source, color=Category10_5[1], legend_label='Bar 2', bottom=y1_values)

# Scatter Plot
p3.scatter(x='x', y='y1', source=source, size=8, color=Category10_5[0], legend_label='Scatter 1')
p3.scatter(x='x', y='y2', source=source, size=8, color=Category10_5[1], legend_label='Scatter 2')

# Stacked Area Plot
p4.varea_stack(['y1', 'y2'], x='x', color=(Category10_5[0], Category10_5[1]), legend_label=['Area 1', 'Area 2'], source=source)

# Save the plots as an HTML file
output_file("bokeh_plots.html")

# Show the plots
show(p1)
show(p2)
show(p3)
show(p4)

if name == "main":
# Call the function to create the Bokeh plots
create_bokeh_plots()