如何在Bokeh中完成`set

本文介绍了如何在Bokeh中完成`set_xlim`或`set_ylim`?的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！ 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)