在绘图窗口中放置自定义图像——作为自定义数据标记或注释这些标记

问题描述

我有一组 150x150 像素的 png 图像，以及一组它们对应的 (x, y) 坐标.有没有办法在网格上绘制图像?例如，我正在寻找 R 或 Python 解决方案来创建如下内容:

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

您通过实例化 AnnotationBbox 来创建一个边界框——每个图像一次您希望显示的内容；图像及其坐标传递给构造函数.

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.

这两个图像的代码显然是重复的，所以一旦将该块放入函数中，它就不会像这里看起来那么长.

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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