如何在Bokeh中完成`set_xlim`或`set_ylim`? [英] How can I accomplish `set_xlim` or `set_ylim` in Bokeh?

问题描述

我在函数中创建一个图形，例如

I create a figure in a function, e.g.

import numpy
from bokeh.plotting import figure, show, output_notebook
output_notebook()

def make_fig():
    rows = cols = 16
    img = numpy.ones((rows, cols), dtype=numpy.uint32)
    view = img.view(dtype=numpy.uint8).reshape((rows, cols, 4))
    view[:, :, 0] = numpy.arange(256)
    view[:, :, 1] = 265 - numpy.arange(256)
    fig = figure(x_range=[0, c], y_range=[0, rows])
    fig.image_rgba(image=[img], x=[0], y=[0], dw=[cols], dh=[rows])
    return fig

稍后我要放大该图:

fig = make_fig()
# <- zoom in on plot, like `set_xlim` from matplotlib
show(fig)

如何在bokeh中进行程序化缩放?

How can I do programmatic zoom in bokeh?

推荐答案

一种方法是在创建图形时使用简单的元组创建事物:

One way is to can things with a simple tuple when creating a figure:

figure(..., x_range=(left, right), y_range=(bottom, top))

但是，您也可以直接设置已创建图形的x_range和y_range属性. (我一直在从matplotlib寻找类似set_xlim或set_ylim的东西.)

But you can also set the x_range and y_range properties of a created figure directly. (I had been looking for something like set_xlim or set_ylim from matplotlib.)

from bokeh.models import Range1d

fig = make_fig()
left, right, bottom, top = 3, 9, 4, 10
fig.x_range=Range1d(left, right)
fig.y_range=Range1d(bottom, top)
show(fig)

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