在Python中使用Bing Maps API密钥绘制多边形字符串时增加缩放级别时颜色反转

Question

我想增加由使用 matplotlib 库在 Bing 地图上绘制的多边形组成的绘图的缩放级别。我正在使用以下代码：

import requests
from PIL import Image
from io import BytesIO
import matplotlib.pyplot as plt
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
plt.style.use('default')
# matplotlib.use('Agg')
API_KEY = "<api key"
poly_str = [(26.258654470488352, 50.60623948760518), (26.260892838025025, 50.61137614053575), (26.259367564324837, 50.612537537528866), (26.257912032768143, 50.615014721155816), (26.257639268464615, 50.60718484036582)]

# Coordinates for the center of the map
center_lat1 = sum([coord[0] for coord in poly_str])
center_lon1 = sum([coord[1] for coord in poly_str])
center_lat = center_lat1/len(poly_str)
center_lon = center_lon1/len(poly_str)
print(f"Centroid Latitude: {center_lat}")
print(f"Centroid Longitude: {center_lon}")

# Static map parameters
zoom_level = 16
map_size = '4000,4000'

# Bing Maps API URL
map_url = f"http://dev.virtualearth.net/REST/v1/Imagery/Map/Road/{center_lat},{center_lon}/{zoom_level}?mapSize={map_size}&format=png&key={API_KEY}"

# Fetch the static map image
response = requests.get(map_url)
image = Image.open(BytesIO(response.content))

# Display the map using matplotlib
fig, ax = plt.subplots(figsize=(8, 8),dpi=200)
ax.imshow(np.asarray(image), extent=[0, image.width, 0, image.height])

polygon_coords =[(841, 678), (1086, 665), (1084, 573), (1006, 471), (866, 586)]
print(polygon_coords)

plt.axis('off')
plt.show()
# plt.savefig("map_bing.jpg")

放置

zoom_level = 15

时，我得到以下图像：

一旦我改变

zoom_level = 16

或更多，我就会得到以下图像：

如何在更改缩放级别时保持背景颜色不变？

Answer 1

我 100% 同意@rbrundritt。最好将解决方案迁移到 Azure Maps。 Microsoft 已发布此页面，这是从 Bing Enterprise Maps 迁移到 Azure Maps 的网关，包括指向迁移指南的链接。