我想在maplotlib图的图例中插入几个小图形(矢量图形,但必要时可以制作光栅)。图例中的每个项目都会有一个图形。
我知道我可以使用something like an annotation box手动绘制整个图例,但这看起来很乏味,图中的任何小变化都需要手工修复。
在pyplot.plot
来电pyplot.legend
或更晚的电话中,有没有办法在标签中加入图片?
答案 0 :(得分:10)
所以,下面有点hacky,但它可以让你在那里大部分时间。注意:您需要将[PATH TO IMAGE]
替换为您想要的图像(否则您将免费获得Grace Hopper!)。您还可以通过传递image_stretch
参数使图像大于默认值。这是修复图像宽高比的黑客方法。如果图像从一个系列重叠到下一个系列,请使用labelspacing
参数。
import os
from matplotlib.transforms import TransformedBbox
from matplotlib.image import BboxImage
from matplotlib.legend_handler import HandlerBase
from matplotlib._png import read_png
class ImageHandler(HandlerBase):
def create_artists(self, legend, orig_handle,
xdescent, ydescent, width, height, fontsize,
trans):
# enlarge the image by these margins
sx, sy = self.image_stretch
# create a bounding box to house the image
bb = Bbox.from_bounds(xdescent - sx,
ydescent - sy,
width + sx,
height + sy)
tbb = TransformedBbox(bb, trans)
image = BboxImage(tbb)
image.set_data(self.image_data)
self.update_prop(image, orig_handle, legend)
return [image]
def set_image(self, image_path, image_stretch=(0, 0)):
if not os.path.exists(image_path):
sample = get_sample_data("grace_hopper.png", asfileobj=False)
self.image_data = read_png(sample)
else:
self.image_data = read_png(image_path)
self.image_stretch = image_stretch
# random data
x = np.random.randn(100)
y = np.random.randn(100)
y2 = np.random.randn(100)
# plot two series of scatter data
s = plt.scatter(x, y, c='b')
s2 = plt.scatter(x, y2, c='r')
# setup the handler instance for the scattered data
custom_handler = ImageHandler()
custom_handler.set_image("[PATH TO IMAGE]",
image_stretch=(0, 20)) # this is for grace hopper
# add the legend for the scattered data, mapping the
# scattered points to the custom handler
plt.legend([s, s2],
['Scatters 1', 'Scatters 2'],
handler_map={s: custom_handler, s2: custom_handler},
labelspacing=2,
frameon=False)
这是它产生的东西: