How to use the bokeh.models.Plot function in bokeh

def test_lodstart_constructor_plot():
    model = Plot()
    event = events.LODStart(model)
    assert event._model_id == model.id

def _make_plot(dimensions="both"):
    source = ColumnDataSource(dict(x=[1, 2], y=[1, 1]))
    plot = Plot(plot_height=400, plot_width=400, x_range=Range1d(0, 1), y_range=Range1d(0, 1), min_border=0)
    plot.add_glyph(source, Rect(x='x', y='y', width=0.9, height=0.9))
    plot.add_tools(PanTool(dimensions=dimensions))
    code = RECORD("xrstart", "p.x_range.start", final=False) + \
           RECORD("xrend", "p.x_range.end", final=False) + \
           RECORD("yrstart", "p.y_range.start", final=False) + \
           RECORD("yrend", "p.y_range.end")
    plot.add_tools(CustomAction(callback=CustomJS(args=dict(p=plot), code=code)))
    plot.toolbar_sticky = False
    return plot

def _make_plot(dimensions="both"):
    source = ColumnDataSource(dict(x=[1, 2], y=[1, 1]))
    plot = Plot(plot_height=400, plot_width=400, x_range=Range1d(0, 1), y_range=Range1d(0, 1), min_border=0)
    plot.add_glyph(source, Rect(x='x', y='y', width=0.9, height=0.9))
    plot.add_tools(WheelZoomTool(dimensions=dimensions))
    code = RECORD("xrstart", "p.x_range.start", final=False) + \
           RECORD("xrend", "p.x_range.end", final=False) + \
           RECORD("yrstart", "p.y_range.start", final=False) + \
           RECORD("yrend", "p.y_range.end")
    plot.add_tools(CustomAction(callback=CustomJS(args=dict(p=plot), code=code)))
    plot.toolbar_sticky = False
    return plot

def test__check_compatible_scale_and_ranges_incompat_factor_scale_and_numeric_range():
    plot = Plot(x_scale=CategoricalScale(), x_range=DataRange1d())
    check = plot._check_compatible_scale_and_ranges()
    assert check != []

def _make_plot(dimensions="both", num_objects=0):
    source = ColumnDataSource(dict(x=[1, 2], y=[1, 1], width=[0.5, 0.5], height=[0.5, 0.5]))
    plot = Plot(plot_height=400, plot_width=400, x_range=Range1d(0, 3), y_range=Range1d(0, 3), min_border=0)
    renderer = plot.add_glyph(source, Rect(x='x', y='y', width='width', height='height'))
    tool = BoxEditTool(dimensions=dimensions, num_objects=num_objects, renderers=[renderer])
    plot.add_tools(tool)
    plot.toolbar.active_multi = tool
    code = RECORD("x", "source.data.x", final=False) + \
           RECORD("y", "source.data.y", final=False) + \
           RECORD("width", "source.data.width", final=False) + \
           RECORD("height", "source.data.height")
    plot.add_tools(CustomAction(callback=CustomJS(args=dict(source=source), code=code)))
    plot.toolbar_sticky = False
    return plot

for year in years:
    fertility = fertility_df[year]
    fertility.name = 'fertility'
    life = life_expectancy_df[year]
    life.name = 'life'
    population = population_df_size[year]
    population.name = 'population'
    new_df = pd.concat([fertility, life, population, region_names], axis=1)
    sources['_' + str(year)] = ColumnDataSource(new_df)

dictionary_of_sources = dict(zip([x for x in years], ['_%s' % x for x in years]))
js_source_array = str(dictionary_of_sources).replace("'", "")

xdr = Range1d(1, 9)
ydr = Range1d(20, 100)
plot = Plot(
    x_range=xdr,
    y_range=ydr,
    title=Title(text=''),
    plot_width=800,
    plot_height=400,
    outline_line_color=None,
    toolbar_location=None,
    min_border=20,
)

AXIS_FORMATS = dict(
    minor_tick_in=None,
    minor_tick_out=None,
    major_tick_in=None,
    major_label_text_font_size="10pt",
    major_label_text_font_style="normal",

import numpy as np

from bokeh.io import curdoc, show
from bokeh.models import CircleX, ColumnDataSource, Grid, LinearAxis, Plot

N = 9
x = np.linspace(-2, 2, N)
y = x**2
sizes = np.linspace(10, 20, N)

source = ColumnDataSource(dict(x=x, y=y, sizes=sizes))

plot = Plot(
    title=None, plot_width=300, plot_height=300,
    min_border=0, toolbar_location=None)

glyph = CircleX(x="x", y="y", size="sizes", line_color="#dd1c77", fill_color=None)
plot.add_glyph(source, glyph)

xaxis = LinearAxis()
plot.add_layout(xaxis, 'below')

yaxis = LinearAxis()
plot.add_layout(yaxis, 'left')

plot.add_layout(Grid(dimension=0, ticker=xaxis.ticker))
plot.add_layout(Grid(dimension=1, ticker=yaxis.ticker))

curdoc().add_root(plot)

from bokeh.io import curdoc, show
from bokeh.models import ColumnDataSource, Grid, HexTile, LinearAxis, Plot

source = ColumnDataSource(dict(
        q=[0,  0, -1, -1,  1, 1, 0],
        r=[0, -1,  0,  1, -1, 0, 1],
    )
)

plot = Plot(
    title=None, plot_width=300, plot_height=300,
    min_border=0, toolbar_location=None)

glyph = HexTile(q="q", r="r", size=1, fill_color="#fb9a99", line_color="white")
plot.add_glyph(source, glyph)

xaxis = LinearAxis()
plot.add_layout(xaxis, 'below')

yaxis = LinearAxis()
plot.add_layout(yaxis, 'left')

plot.add_layout(Grid(dimension=0, ticker=xaxis.ticker))
plot.add_layout(Grid(dimension=1, ticker=yaxis.ticker))

curdoc().add_root(plot)

p.x_range.start = -10
  p.x_range.end = 10
  p.y_range.start = -52
  p.y_range.end = 10
reset_button = Button(label='Reset', button_type='success',width=100)
reset_button.on_click(reset)





###############################################################################
# plot particle and displacements #############################################
###############################################################################
t = Title(text='Total displacement of soil particles')
p = Plot(title=t,x_range=Range1d(start=-10,end=10),y_range=Range1d(start=-52,end=10),
       plot_height = 928, plot_width = 800)
p.toolbar.logo=None
xaxis = LinearAxis()
xaxis.axis_label = 'x in [m]'
yaxis = LinearAxis()
yaxis.axis_label = 'z in [m]'
p.title.text_font_size = '15pt'

glyph_line = Line(x='x', y='y', line_color='black', line_width=2)
glyph_surface = Line(x='x', y='y', line_color='black', line_width=1)

glyph_Annulus_static = Annulus(x='x_coord',y='z_coord',outer_radius=.01,
                               fill_color='grey')
glyph_Annulus_moving = Annulus(x='x_coord',y='z_coord',outer_radius=.04,
                               fill_color='saddlebrown',line_alpha=0.7,
                               fill_alpha=0.7)