将自定义图像放置在绘图窗口中-作为自定义数据标记或注释这些标记

问题描述

我有一组150x150px png图像，以及它们对应的一组(x，y)坐标.有没有办法在网格上绘制图像?例如，我正在寻找一种R或Python解决方案来创建类似以下内容的内容:

I have a set of 150x150px png images, and a set of (x, y) coordinates that they correspond to. Is there a way to plot the images on a grid? For example, I'm looking for an R or Python solution to create something like the following:

推荐答案

您可以通过实例化 AnnotationBbox (每个图像一次)来创建边界框您希望显示的内容；图像及其坐标将传递给构造函数.

You create a bounding box by instantiating AnnotationBbox--once for each imagethat you wish to display; the image and its coordinates are passed to the constructor.

代码显然对于两个图像是重复的，因此一旦将该块放入函数中，它的长度就不会像这里看起来的那样.

The code is obviously repetitive for the two images, so once that block is put in a function, it's not as long as it seems here.

import matplotlib.pyplot as PLT
from matplotlib.offsetbox import AnnotationBbox, OffsetImage
from matplotlib._png import read_png

fig = PLT.gcf()
fig.clf()
ax = PLT.subplot(111)

# add a first image
arr_hand = read_png('/path/to/this/image.png')
imagebox = OffsetImage(arr_hand, zoom=.1)
xy = [0.25, 0.45]               # coordinates to position this image

ab = AnnotationBbox(imagebox, xy,
    xybox=(30., -30.),
    xycoords='data',
    boxcoords="offset points")
ax.add_artist(ab)

# add second image
arr_vic = read_png('/path/to/this/image2.png')
imagebox = OffsetImage(arr_vic, zoom=.1)
xy = [.6, .3]                  # coordinates to position 2nd image

ab = AnnotationBbox(imagebox, xy,
    xybox=(30, -30),
    xycoords='data',
    boxcoords="offset points")
ax.add_artist(ab)

# rest is just standard matplotlib boilerplate
ax.grid(True)
PLT.draw()
PLT.show()

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