from bokeh.io import output_notebook, show
from bokeh.plotting import figure
output_notebook()
在前面的章节中， 我们学习的都是在一张画布上展示不同的数据。 但是我们时常需要在一张画布上展示多张图。
下面这段数据的定义将要用于后面的案例中.
x = list(range(11))
y0, y1, y2 = x, [10-i for i in x], [abs(i-5) for i in x]
画布行布局与列布局
from bokeh.layouts import row
# create a new plot
s1 = figure(width=250, plot_height=250)
s1.circle(x, y0, size=10, color="navy", alpha=0.5)
# create another one
s2 = figure(width=250, height=250)
s2.triangle(x, y1, size=10, color="firebrick", alpha=0.5)
# create and another
s3 = figure(width=250, height=250)
s3.square(x, y2, size=10, color="olive", alpha=0.5)
# show the results in a row
show(row(s1, s2, s3))
row_plots.PNG
上面代码中, s1, s2, s3 分别代表三个画布。 建立好三画布后， 通过row()进行展示， 也就是说， 它们在水平线上展示一排。
网格布局
from bokeh.layouts import gridplot
# create a new plot
s1 = figure(width=250, plot_height=250)
s1.circle(x, y0, size=10, color="navy", alpha=0.5)
# create another one
s2 = figure(width=250, height=250)
s2.triangle(x, y1, size=10, color="firebrick", alpha=0.5)
# create and another
s3 = figure(width=250, height=250)
s3.square(x, y2, size=10, color="olive", alpha=0.5)
# put all the plots in a gridplot
p = gridplot([[s1, s2], [s3, None]], toolbar_location=None)
# show the results
show(p)
grap_plots.PNG
通过gridplot定义网格的布局
下一章：六、图片联动
