Bokeh 对应 matplotlib 子图的用法

Question

我想找一种方法来创建一个包含多个子图的图表，就像在 matplotlib 中那样，像这样：

fig, (ax0, ax1) = plt.subplots(nrows=2, sharex=True)

然后可以通过 ax0 和 ax1 来访问这些子图。在 Bokeh 中有没有类似的办法？我在 Bokeh 的示例画廊里只找到了单个图表。

Answer 1

我觉得你能找到的最简单的例子是：

import numpy as np
import bokeh.plotting as bk_plotting
import bokeh.models as bk_models

# for the ipython notebook
bk_plotting.output_notebook()

# a random dataset
data = bk_models.ColumnDataSource(data=dict(x=np.arange(10),
                                            y1=np.random.randn(10),
                                            y2=np.random.randn(10)))

# defining the range (I tried with start and end instead of sources and couldn't make it work)
x_range = bk_models.DataRange1d(sources=[data.columns('x')])
y_range = bk_models.DataRange1d(sources=[data.columns('y1', 'y2')])

# create the first plot, and add a the line plot of the column y1
p1 = bk_models.Plot(x_range=x_range,
                    y_range=y_range,
                    title="",
                    min_border=2,
                    plot_width=250,
                    plot_height=250)
p1.add_glyph(data,
             bk_models.glyphs.Line(x='x',
                                   y='y1',
                                   line_color='black',
                                   line_width=2))

# add the axes
xaxis = bk_models.LinearAxis()
p1.add_layout(xaxis, 'below')
yaxis = bk_models.LinearAxis()
p1.add_layout(yaxis, 'left')

# add the grid
p1.add_layout(bk_models.Grid(dimension=1, ticker=xaxis.ticker))
p1.add_layout(bk_models.Grid(dimension=0, ticker=yaxis.ticker))

# add the tools
p1.add_tools(bk_models.PreviewSaveTool())

# create the second plot, and add a the line plot of the column y2
p2 = bk_models.Plot(x_range=x_range,
                    y_range=y_range,
                    title="",
                    min_border=2,
                    plot_width=250,
                    plot_height=250)
p2.add_glyph(data,
             bk_models.glyphs.Line(x='x',
                                   y='y2',
                                   line_color='black',
                                   line_width=2))



# add the x axis
xaxis = bk_models.LinearAxis()
p2.add_layout(xaxis, 'below')

# add the grid
p2.add_layout(bk_models.Grid(dimension=1, ticker=xaxis.ticker))
p2.add_layout(bk_models.Grid(dimension=0, ticker=yaxis.ticker))

# add the tools again (it's only displayed if added to each chart)
p2.add_tools(bk_models.PreviewSaveTool())

# display both
gp = bk_plotting.GridPlot(children=[[p1, p2]])
bk_plotting.show(gp)

这个例子会产生以下输出：