如何使用我的字符串标签添加辅助 x 轴

Question

I have plot

with secondary axis added like this:

    plot.extra_x_ranges['sec_x_axis'] = Range1d(0, 100)
    ax2 = LinearAxis(x_range_name="sec_x_axis", axis_label="secondary x-axis")
    plot.add_layout(ax2, 'above')

x_axis is x_axis_type='datetime', so bokeh show ms on second x-axis too. This is not good.
Is there a way I can put my labels on this axis? I have a list of str labels like:

my_labels = ['21.5; 315.1', '21.6; 315.0', '21.7; 315.0', '21.7; 314.9',.....]

I found FuncTickFormatter but it takes JS code inside, so I can't handle it. Maybe there is another way to do this?

Answer 1

To override the values of the labels use major_label_overrides on the appropriate axis. You can pass a dictionary like {1:'A',...} , where 1 is the place to overwrite and A is the new label. To avoid "wrong" labels while zooming, you can set the ticker direcetlly as list unsing ticker . In your case the axis is p.above[0] .

Comment

If you add a LinearAxis to a figure with an already existing DatetimeAxis, the new axis shoudn't be effected and therefor shouldn't be formatted as datetime. I used the latest version 2.4.3 and it works as expected. Use the minimal example to try it on your own.

Minimal Example

This code is based on the twin_axis.py example published by the authors of bokeh.

from numpy import arange, linspace, pi, sin

from bokeh.models import LinearAxis, Range1d
from bokeh.plotting import figure, show, output_notebook
output_notebook()

x = arange(-2*pi, 2*pi, 0.2)
x2 = arange(-pi, pi, 0.1)
y = sin(x)
y2 = sin(x2)

p = figure(
    width=400,
    height=400,
    x_range=(-6.5, 6.5),
    y_range=(-1.1, 1.1),
    min_border=80,
    x_axis_type="datetime"
)

p.circle(x, y, color="crimson", size=8)
p.yaxis.axis_label = "red circles"
p.yaxis.axis_label_text_color ="crimson"

p.extra_x_ranges['foo'] = Range1d(-pi, pi)
p.circle(x2, y2, color="navy", size=8, x_range_name="foo")
ax2 = LinearAxis(x_range_name="foo", axis_label="blue circles")
ax2.axis_label_text_color ="navy"
p.add_layout(ax2, 'above')

# set ticker to avoid wrong formatted labels while zooming
p.above[0].ticker = list(range(-3,4))
# overwrite labels
p.above[0].major_label_overrides = {key: item for key, item in zip(range(-3,4), list('ABCDEFG'))}

show(p)

default	overwritten labels