如何更改bokeh中现有图像的范围和位置? [英] How to change the extent and position of an existing image in bokeh?
问题描述
我正在bokeh服务器中将2d数据显示为各种形状的图像,因此不仅需要动态更新图像的数据源,还需要动态更新其dw
,dh
,x
和y
特性.在下面的虚拟示例中,这些更改是在与Button
小部件连接的回调函数中进行的.
I am displaying 2d data as images of varying shapes in a bokeh server, and therefore need to dynamically update not only the image's data source, but also its dw
, dh
, x
, and y
properties. In the dummy example below, these changes are made in a callback function which is connected to a Button
widget.
我发现我需要访问图像的GlyphRenderer
对象的glyph
属性,并且可以通过其update()
方法(请参见代码)进行访问.但是,直到我单击工具栏的重置"按钮,更改才会生效.我注意到,第二次激活callback()
函数时,这些更改也会神秘地生效.进行这些更改的正确方法是什么?
I've figured out that I need to access the glyph
attribute of the image's GlyphRenderer
object, and I can do so through its update()
method (see code). But the changes don't take effect until I click the toolbar's Reset button. I've noticed that the changes also mysteriously take effect the second time I activate the callback()
function. What is the proper way to make these changes?
import bokeh.plotting
import bokeh.models
import bokeh.layouts
import numpy as np
# set up the interface
fig1 = bokeh.plotting.figure(x_range=(0, 10), y_range=(0, 10))
im1 = fig1.image([], dw=5, dh=5)
button = bokeh.models.Button(label='scramble')
# add everything to the document
bokeh.plotting.curdoc().add_root(bokeh.layouts.column(button, fig1))
# define a callback and connect it
def callback():
# this always works:
im1.data_source.data = {'image': [np.random.random((100,100))]}
# these changes only take effect after pressing the "Reset"
# button, or after triggering this callback function twice:
im1.glyph.update(x=1, y=1, dw=9, dh=9)
button.on_click(callback)
推荐答案
我没有立即明白为什么您的代码无法正常工作.我可以建议显式地使用ColumnDataSource并将所有Image字形属性链接到该源中的列.然后,您应该能够在一行中更新source.data,并应用所有更新.
I don't immediately see why you code isn't work. I can suggest explicitly using a ColumnDataSource and linking all of the Image glyph properties to columns in that source. Then you should be able to update the source.data in a single line and have all of the updates apply.
这里有一些不完整的示例代码来建议如何做到这一点:
Here's some incomplete sample code to suggest how to do that:
from bokeh.models import Image, ColumnDataSource
from bokeh.plotting import figure
# the plotting code
plot = figure()
source = ColumnDataSource(data=dict(image=[], x=[], y=[], dw=[], dh=[]))
image = Image(data='image', x='x', y='y', dw='dw', dh=dh)
plot.add_glyph(source, glyph=image)
# the callback
def callback():
source.data = {'image': [np.random.random((100,100))], 'x':[1], 'y':[1], 'dw':[9], 'dh':[9]}
button.on_click(callback)
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