CODEWITHSUNDEEP
pythonbokeh
azazelspeaks
azazelspeaks

Reputation: 6045

Python Bokeh: Restart X axis to 0 on Zoom

I have code below that creates a simple line x-y plot.

When I zoom in, I want the x-axis ticker to start at 0 again instead of 3.9/whatever the x point of the zoom was as in the image.

No Zoom:

enter image description here

After Zooming:

enter image description here

How do I do that?

Code:

from bokeh.io import output_file, show, save
from bokeh.layouts import column
from bokeh.plotting import figure
from bokeh.models import ColumnDataSource

data = []
x = list(range(11))
y0 = x
y1 = [10 - xx for xx in x]
y2 = [abs(xx - 5) for xx in x]
source = ColumnDataSource(data=dict(x=x, y0=y0, y1=y1, y2=y2))
for i in range(3):
    p = figure(title="Title " + str(i), plot_width=300, plot_height=300)
    if len(data):
        p.x_range = data[0].x_range
        p.y_range = data[0].y_range

    p.circle('x', 'y0', size=10, color="navy", alpha=0.5, legend_label='line1', source=source)

    p.legend.location = 'top_right'
    p.legend.click_policy = "hide"
    data.append(p)
plot_col = column(data)
# show the results
show(plot_col)

Upvotes: 0

Views: 346

Answers (1)

bigreddot
bigreddot

Reputation: 34568

This is an unusual requirement, and none of the built-in things behave this way. If you zoom in to the interval [4,7], the the range will be updated [4, 7], and so then the axis will display labels for [4, 7]. If it will suffice to simply display different tick labels, even while the underlying range start/end remain their usual values, then you could use a Custom Extension to generate whatever customized labels you want. There is an example in the User's Guide that already does almost exactly what you want already:

https://docs.bokeh.org/en/latest/docs/user_guide/extensions_gallery/ticking.html#userguide-extensions-examples-ticking

You might also be able to do something even more simply with a FuncTickFormatter, e.g. (untested)

p.xaxis.formatter = FuncTickFormatter(code="""
    return tick - ticks[0]
""")

Upvotes: 1

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