I have a set of plots in a grid that have similar y-axis. I want to get ride of the individual y-axes and have one common axis for all the plots.

I tried making “p.yaxis.visible = False” in all but one plot, but that makes the plot area small in the plot with the axis. Ideally, I would like to be able to add in a new figure with just axes and have the other three without axis.

Here’s an example of what I’m trying to do.

from bokeh.layouts import gridplot

from numpy import arange, linspace, pi, sin, cos

from bokeh.models import LinearAxis, Range1d

from bokeh.plotting import figure, output_file, show

x = arange(-2*pi, 2*pi, 0.1)

y11 = sin(x)

y12 = linspace(0, 100, len(y11))

y21 = cos(x)

y22 = linspace(100, 0, len(y11))

y31 = sin(x*2)

y32 = linspace(0, 10, len(y11))**2

def createCombinedPlot(x, y1, y2):

```
p = figure(x_range=(-6.5, 6.5), y_range=(-1.1, 1.1),
plot_width=300, plot_height=200)
p.circle(x, y1, color="red")
p.extra_y_ranges = {"foo": Range1d(start=0, end=100)}
p.circle(x, y2, color="blue", y_range_name="foo")
p.add_layout(LinearAxis(y_range_name="foo"), 'left')
return p
```

plot_list = [createCombinedPlot(x, y1, y2) for x, y1, y2 in ((x, y11, y12), (x, y21, y22), (x, y31, y32))]

output_file(“twin_axis_modified.html”)

show(gridplot(plot_list, ncols=2))