First steps 6: Combining plots#

In the previous first steps guides, you created individual plots.

In this section, you will combine several plots into different kinds of layouts.

Creating rows, columns, and grids#

The easiest way to combine individual plots is to assign them to rows or columns.

For example:

To combine several plots into a horizontal row layout, you first need to import row. Then use the row() function when calling show():

from bokeh.layouts import row
from bokeh.plotting import figure, show

# prepare some data
x = list(range(11))
y0 = x
y1 = [10 - i for i in x]
y2 = [abs(i - 5) for i in x]

# create three plots with one renderer each
s1 = figure(width=250, height=250, background_fill_color="#fafafa")
s1.scatter(x, y0, marker="circle", size=12, color="#53777a", alpha=0.8)

s2 = figure(width=250, height=250, background_fill_color="#fafafa")
s2.scatter(x, y1, marker="triangle", size=12, color="#c02942", alpha=0.8)

s3 = figure(width=250, height=250, background_fill_color="#fafafa")
s3.scatter(x, y2, marker="square", size=12, color="#d95b43", alpha=0.8)

# put the results in a row and show
show(row(s1, s2, s3))

To display several plots in a vertical column layout, use the column() function instead.

A more flexible way to arrange elements in Bokeh is to use the gridplot() function.

Defining sizing behavior#

You can use the functions row(), column(), and gridplot() with additional arguments to define how Bokeh scales the individual plots. See sizing_mode for a list of all sizing modes that Bokeh supports.

For example: To make all plots in a row responsively fill the available width of the browser window, assign scale_width to sizing_mode:

from bokeh.layouts import row
from bokeh.plotting import figure, show

# prepare some data
x = list(range(11))
y0 = x
y1 = [10 - i for i in x]
y2 = [abs(i - 5) for i in x]

# create three plots with one renderer each
s1 = figure(width=250, height=250, background_fill_color="#fafafa")
s1.scatter(x, y0, marker="circle", size=12, color="#53777a", alpha=0.8)

s2 = figure(width=250, height=250, background_fill_color="#fafafa")
s2.scatter(x, y1, marker="triangle", size=12, color="#c02942", alpha=0.8)

s3 = figure(width=250, height=250, background_fill_color="#fafafa")
s3.scatter(x, y2, marker="square", size=12, color="#d95b43", alpha=0.8)

# put the results in a row that automatically adjusts
# to the browser window's width
show(row(children=[s1, s2, s3], sizing_mode="scale_width"))