Testing Bokeh on CoCalc

import bokeh
bokeh.__version__

from bokeh.io import output_notebook
output_notebook()

from bokeh.models import Div, RangeSlider, Spinner
from bokeh.plotting import figure, show
from bokeh.layouts import layout

x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
y = [4, 5, 5, 7, 2, 6, 4, 9, 1, 3]

p = figure(x_range=(1, 9), width=500, height=250)
points = p.circle(x=x, y=y, size=30, fill_color="#21a7df")
div = Div(
    text="""
        <p>Select the circle's size using this control element:</p>
        """,
    width=200,
    height=30,
)
spinner = Spinner(
    title="Circle size",  # a string to display above the widget
    low=0,  # the lowest possible number to pick
    high=60,  # the highest possible number to pick
    step=5,  # the increments by which the number can be adjusted
    value=points.glyph.size,  # the initial value to display in the widget
    width=200,  #  the width of the widget in pixels
)
spinner.js_link("value", points.glyph, "size")
range_slider = RangeSlider(
    title="Adjust x-axis range",  # a title to display above the slider
    start=0,  # set the minimum value for the slider
    end=10,  # set the maximum value for the slider
    step=1,  # increments for the slider
    value=(p.x_range.start, p.x_range.end),  # initial values for slider
)
range_slider.js_link("value", p.x_range, "start", attr_selector=0)
range_slider.js_link("value", p.x_range, "end", attr_selector=1)
layout = layout([
    [div, spinner],
    [range_slider],
    [p],
])
show(layout)

from bokeh.plotting import figure, show

# prepare some data
x = [1, 2, 3, 4, 5]
y = [6, 7, 2, 4, 5]

# create new plot
p = figure(title="Headline example")

# add line renderer with a legend
p.line(x, y, legend_label="Temp.", line_width=2)

# change headline location to the left
p.title_location = "left"

# change headline text
p.title.text = "Changing headline text example"

# style the headline
p.title.text_font_size = "25px"
p.title.align = "right"
p.title.background_fill_color = "darkgrey"
p.title.text_color = "white"

# show the results
show(p)

import numpy as np

from bokeh.plotting import figure, show

N = 4000
x = np.random.random(size=N) * 100
y = np.random.random(size=N) * 100
radii = np.random.random(size=N) * 1.5
colors = np.array([ [r, g, 150] for r, g in zip(50 + 2*x, 30 + 2*y) ], dtype="uint8")

TOOLS="hover,crosshair,pan,wheel_zoom,zoom_in,zoom_out,box_zoom,undo,redo,reset,tap,save,box_select,poly_select,lasso_select,"

p = figure(tools=TOOLS)

p.scatter(x, y, radius=radii,
          fill_color=colors, fill_alpha=0.6,
          line_color=None)

show(p)