有两种方法可以做到这一点。
第一种方法最容易理解，但是第二种方法具有很大的优势。k注解框方法将使图像在放大时保持恒定大小。使用imshow将图像的大小与图的数据坐标绑定。
这是第二个选项的示例：
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.offset@R_449_2419@ import OffsetImage, AnnotationB@R_449_2419@
from matplotlib.cbook import get_sample_data
def main():
x = np.linspace(0, 10, 20)
y = np.cos(x)
image_path = get_sample_data('ada.png')
fig, ax = plt.subplots()
imscatter(x, y, image_path, zoom=0.1, ax=ax)
ax.plot(x, y)
plt.show()
def imscatter(x, y, image, ax=None, zoom=1):
if ax is None:
ax = plt.gca()
try:
image = plt.imread(image)
except TypeError:
# Likely already an array...
pass
im = OffsetImage(image, zoom=zoom)
x, y = np.atleast_1d(x, y)
artists = []
for x0, y0 in zip(x, y):
ab = AnnotationB@R_449_2419@(im, (x0, y0), xycoords='data', frameon=False)
artists.append(ax.add_artist(ab))
ax.update_datalim(np.column_stack([x, y]))
ax.autoscale()
return artists
main()
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