在Matplotlib/Python中为大图添加一张小照片/图片

Question

我有一张我在matplotlib中生成的大图。我想在某些（x，y）坐标处添加一些图标到此图中。我想知道是否有任何方式做，在matplotlib

谢谢

Answer 1

这是绝对有可能。这里是一个开始：

import matplotlib, scipy 
fig = matplotlib.figure() 
ax = fig.add_axes([0.1,0.1,0.8,0.8]) 
axicon = fig.add_axes([0.4,0.4,0.1,0.1]) 
ax.plot(range(5), [4,2,3,5,1]) 
axicon.imshow(scipy.randn(100,100)) 
axicon.set_xticks([]) 
axicon.set_yticks([]) 
fig.show() 

Icon overlap http://up.stevetjoa.com/iconoverlap.png

在这个例子中，图标的位置并没有在图中的（X，Y）来定义坐标;也许别人可以帮助。不过，我希望这个例子有用。

Answer 2

请参阅dolphin example —最初的a joke，但它显示了如何在各种坐标处的图中添加矢量图形。

Answer 3

许多年后，但为了将来的参考。
我发现在其中添加一个AnnotationBbox和OffsetImage，对我来说是诀窍。例如

#!/usr/bin/env python 
import matplotlib 
matplotlib.use('WXAgg') 
import matplotlib.pyplot as plt 
from matplotlib.offsetbox import (OffsetImage,AnnotationBbox) 
from matplotlib.cbook import get_sample_data 
# The slices will be ordered and plotted counter-clockwise. 
labels = 'Frogs', 'Hogs', 'Dogs', 'Logs' 
sizes = [15, 30, 45, 10] 
colors = ['yellowgreen', 'gold', 'lightskyblue', 'lightcoral'] 
explode = (0.1, 0, 0, 0) # explode a slice if required 
fig, ax = plt.subplots() 
ax.pie(sizes, explode=explode, labels=labels, colors=colors, 
     autopct='%1.1f%%', shadow=True) 
#Full path name to your image 
fn = get_sample_data("/home/rolf/bandwidth/bandwidth.png", asfileobj=False) 
arr_img = plt.imread(fn, format='png') 

imagebox = OffsetImage(arr_img, zoom=1.2) 
imagebox.image.axes = ax 
xy = [0.75, 0.95] 
ab = AnnotationBbox(imagebox, xy, 
        xybox=(120., -10.), 
        xycoords='data', 
        boxcoords="offset points", 
        pad=0.5, 
        ) 
ax.add_artist(ab) 

# Set aspect ratio to be equal so that pie is drawn as a circle. 
plt.axis('equal') 
plt.show() 

移动图像有关的情节内的xy和xybox值。

此外读数可能是有用的：
http://matplotlib.org/examples/pylab_examples/demo_annotation_box.html https://developer.ibm.com/clouddataservices/2016/10/06/your-own-weather-forecast-in-a-python-notebook/