我想在条形图中添加如下标志图像:
我尝试过 AnnotationBbox,但它显示为方形轮廓。谁能告诉如何完全按照上图实现这一目标?
编辑:
下面是我的代码
ax.barh(y = y, width = values, color = r, height = 0.8)
height = 0.8
for i, (value, url) in enumerate(zip(values, image_urls)):
response = requests.get(url)
img = Image.open(BytesIO(response.content))
width, height = img.size
left = 10
top = 10
right = width-10
bottom = height-10
im1 = img.crop((left, top, right, bottom))
print(im1.size)
im1
ax.imshow(im1, extent = [value - 6, value, i - height / 2, i + height / 2], aspect = 'auto', zorder = 2)
编辑2:
height = 0.8
for j, (value, url) in enumerate(zip(ww, image_urls)):
response = requests.get(url)
img = Image.open(BytesIO(response.content))
ax.imshow(img, extent = [value - 6, value - 2, j - height / 2, j + height / 2], aspect = 'auto', zorder = 2)
ax.set_xlim(0, max(ww)*1.05)
ax.set_ylim(-0.5, len(yy) - 0.5)
plt.tight_layout()
最佳答案
要完成@johanC 的回答,可以使用来自 iso-flags-png
的标志在 GNU/linux 和 iso3166
下 python 包:
import matplotlib.pyplot as plt
from iso3166 import countries
import matplotlib.image as mpimg
def pos_image(x, y, pays, haut):
pays = countries.get(pays).alpha2.lower()
fichier = "/usr/share/iso-flags-png-320x240"
fichier += f"/{pays}.png"
im = mpimg.imread(fichier)
ratio = 4 / 3
w = ratio * haut
ax.imshow(im,
extent=(x - w, x, y, y + haut),
zorder=2)
plt.style.use('seaborn')
fig, ax = plt.subplots()
liste_pays = [('France', 10), ('USA', 9), ('Spain', 5), ('Italy', 5)]
X = [p[1] for p in liste_pays]
Y = [p[0] for p in liste_pays]
haut = .8
r = ax.barh(y=Y, width=X, height=haut, zorder=1)
y_bar = [rectangle.get_y() for rectangle in r]
for pays, y in zip(liste_pays, y_bar):
pos_image(pays[1], y, pays[0], haut)
plt.show()
这使:
关于python - 如何将图像添加到轴中的条形(matplotlib),我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/61971090/