这肯定是可能的。我们可以从普通的pie chart 开始。然后我们需要将图像放入情节中。这是使用plt.imread 和matplotlib.offsetbox.OffsetImage 完成的。我们需要找到合适的坐标和缩放级别来放置图像,使其与相应的饼形楔形完全重叠。然后饼的楔形路径被用作图像的clip path,这样就只剩下楔形内部的部分了。将未填充楔形的 zorder 设置为较大的数字可确保将边框放置在图像的顶部。这样看起来楔子被图像填充了。
import matplotlib.pyplot as plt
from matplotlib.patches import PathPatch
from matplotlib.offsetbox import OffsetImage, AnnotationBbox
total = [5,7,4]
labels = ["Raspberries", "Blueberries", "Blackberries"]
plt.title('Berries')
plt.gca().axis("equal")
wedges, texts = plt.pie(total, startangle=90, labels=labels,
wedgeprops = { 'linewidth': 2, "edgecolor" :"k","fill":False, })
def img_to_pie( fn, wedge, xy, zoom=1, ax = None):
if ax==None: ax=plt.gca()
im = plt.imread(fn, format='png')
path = wedge.get_path()
patch = PathPatch(path, facecolor='none')
ax.add_patch(patch)
imagebox = OffsetImage(im, zoom=zoom, clip_path=patch, zorder=-10)
ab = AnnotationBbox(imagebox, xy, xycoords='data', pad=0, frameon=False)
ax.add_artist(ab)
positions = [(-1,0.3),(0,-0.5),(0.5,0.5)]
zooms = [0.4,0.4,0.4]
for i in range(3):
fn = "data/{}.png".format(labels[i].lower())
img_to_pie(fn, wedges[i], xy=positions[i], zoom=zooms[i] )
wedges[i].set_zorder(10)
plt.show()