Plotting with Bokeh on CoCalc

Ideas from https://docs.bokeh.org/en/latest/docs/user_guide/jupyter.html etc.

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import bokeh
bokeh.__version__

'2.2.3'

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import numpy as np

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from bokeh.io import show, output_notebook
from bokeh.models import ColumnDataSource
from bokeh.plotting import figure
output_notebook()

Loading BokehJS ...

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p = figure(plot_width=700, plot_height=400)

xx = np.linspace(-3 * np.pi, 3 * np.pi, 1000)
yy = np.sin(xx**2) * np.log1p(np.abs(xx))

p.line(xx, yy, line_width=2)

show(p)

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task_names = [
    'masonry', 'carpentry', 'plumbing', 'ceiling', 'roofing', 'painting',
    'windows', 'facade', 'garden', 'moving'
]
starts = [0, 35, 35, 35, 50, 50, 55, 75, 75, 85]
ends = [35, 50, 75, 50, 55, 60, 60, 85, 80, 90]

source = ColumnDataSource(
    data=dict(tasks=task_names, starts=starts, ends=ends))

p = figure(x_range=(0, 90),
           y_range=task_names,
           plot_height=350,
           title="Task Time Spans",
           toolbar_location=None,
           tools="")

p.hbar(y='tasks', left='starts', right='ends', height=0.9, source=source)

p.xaxis.axis_label = "Time"
p.ygrid.grid_line_color = None

show(p)

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from bokeh.layouts import gridplot
from bokeh.plotting import figure, output_file, show

x = np.linspace(0, 4*np.pi, 100)
y = np.sin(x)

TOOLS = "pan,wheel_zoom,box_zoom,reset,save,box_select"

p1 = figure(title="Legend Example", tools=TOOLS)

p1.circle(x,   y, legend_label="sin(x)")
p1.circle(x, 2*y, legend_label="2*sin(x)", color="orange")
p1.circle(x, 3*y, legend_label="3*sin(x)", color="green")

p1.legend.title = 'Example Title'

p2 = figure(title="Another Legend Example", tools=TOOLS)

p2.circle(x, y, legend_label="sin(x)")
p2.line(x, y, legend_label="sin(x)")

p2.line(x, 2*y, legend_label="2*sin(x)", line_dash=(4, 4), line_color="orange", line_width=2)

p2.square(x, 3*y, legend_label="3*sin(x)", fill_color=None, line_color="green")
p2.line(x, 3*y, legend_label="3*sin(x)", line_color="green")

output_file("legend.html", title="legend.py example")

show(gridplot([p1, p2], ncols=2, plot_width=400, plot_height=400))

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