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

我在函数中创建了一个图形，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

后来想放大图:

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

如何在散景中进行程序化缩放?

How can I do programmatic zoom in bokeh?

推荐答案

一种方法是在创建图形时用一个简单的元组来处理:

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创建的图形的 x_range 和 y_range 属性.(我一直在寻找 matplotlib 中的 set_xlim 或 set_ylim 之类的东西.)

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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