python – Matplotlib：如何绘制图像而不是点？

>使用imshow绘制图像,并根据您希望图像所在的位置设置范围kwarg.
>在AnnotationBbox中使用OffsetImage.

第一种方式是最容易理解的,但第二种方式具有很大的优势. k注释框方法将允许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联系起来.

以下是第二个选项的示例：

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.offsetbox import OffsetImage,AnnotationBbox
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,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 = AnnotationBbox(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()