anscombe

使用低级 bokeh.models API 重现 安斯库姆四重奏，该 API 还包括 Div 中的 HTML 内容。

细节

示例数据:

bokeh.sampledata.anscombe

Bokeh API:

bokeh.layouts.column, bokeh.layouts.gridplot, bokeh.models.Plot, bokeh.models.LinearAxis

更多信息:

图表的网格布局

关键词:

column, gridplot

import numpy as np

from bokeh.io import show
from bokeh.layouts import column, gridplot
from bokeh.models import (ColumnDataSource, Div, Grid, Line,
                          LinearAxis, Plot, Range1d, Scatter)
from bokeh.sampledata.anscombe import data as df

circle_source = ColumnDataSource(data=df)

x = np.linspace(-0.5, 20.5, 10)
y = 3 + 0.5 * x
line_source = ColumnDataSource(data=dict(x=x, y=y))

rng = Range1d(start=-0.5, end=20.5)

def make_plot(title, xname, yname):
    plot = Plot(x_range=rng, y_range=rng, width=400, height=400,
                background_fill_color='#efefef')
    plot.title.text = title

    xaxis = LinearAxis(axis_line_color=None)
    plot.add_layout(xaxis, 'below')

    yaxis = LinearAxis(axis_line_color=None)
    plot.add_layout(yaxis, 'left')

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

    line = Line(x='x', y='y', line_color="#666699", line_width=2)
    plot.add_glyph(line_source, line)

    circle = Scatter(x=xname, y=yname, size=12, line_color="#cc6633",
                     fill_color="#cc6633",  fill_alpha=0.5)
    plot.add_glyph(circle_source, circle)

    return plot

#where will this comment show up
I   = make_plot('I',   'Ix',   'Iy')
II  = make_plot('II',  'IIx',  'IIy')
III = make_plot('III', 'IIIx', 'IIIy')
IV  = make_plot('IV',  'IVx',  'IVy')

grid = gridplot([[I, II], [III, IV]], toolbar_location=None)

div = Div(text="""
<h1>Anscombe's Quartet</h1>
<p>Anscombe's Quartet is a collection of four small datasets that have nearly
identical simple descriptive statistics (mean, variance, correlation, and
linear regression lines), yet appear very different when graphed.
</p>
""")

show(column(div, grid, sizing_mode="scale_width"))