尝试在 Python 中调整阿拉斯加和夏威夷以适应县级地图

问：

我需要为整个美国制作一张分区统计线县级地图。我现在的问题是，我无法调整阿拉斯加和夏威夷，使它们位于地图的左下角，加利福尼亚州下方和德克萨斯州的左侧。到目前为止，我的计划如下，但它没有对阿拉斯加和夏威夷的大小和/或位置产生任何变化。

import geopandas as gpd
import matplotlib.pyplot as plt

# Load the shapefile
shape_path = '/Users/deas/Documents/Research/cb_2018_us_county_20m/cb_2018_us_county_20m.shp'
shape = gpd.read_file(shape_path)

# Territories to exclude
to_exclude = ['03', '07', '14', '43', '52', '72']

# Define a list of ALL state FIPS codes
state_fips_codes = shape['STATEFP'].unique()

# Exclude specified codes from the list
state_fips_codes = [code for code in state_fips_codes if code not in to_exclude]

# Filter the shapefile to include only the desired states
shape = shape[shape['STATEFP'].isin(state_fips_codes)]
shape = shape.sort_values('STATEFP')

# Create a map with Alaska and Hawaii scaled and repositioned
fig, ax = plt.subplots(figsize=(12, 6))

# Plot the shapefile (continental US)
shape.boundary.plot(ax=ax, edgecolor='black', linewidth=0.4)

# Scale and reposition Alaska
alaska = shape[shape['STATEFP'] == '02']
alaska['geometry'] = alaska['geometry'].scale(xfact=0.4, yfact=0.4)  # Adjust the scaling factor
alaska['geometry'] = alaska['geometry'].translate(xoff=-50, yoff=-70)  # Adjust the translation

# Scale and reposition Hawaii
hawaii = shape[shape['STATEFP'] == '15']
hawaii['geometry'] = hawaii['geometry'].scale(xfact=0.5, yfact=0.5)  # Adjust the scaling factor
hawaii['geometry'] = hawaii['geometry'].translate(xoff=-20, yoff=-100)  # Adjust the translation

# Plot the modified Alaska and Hawaii
alaska.boundary.plot(ax=ax, edgecolor='black', linewidth=0.4)
hawaii.boundary.plot(ax=ax, edgecolor='black', linewidth=0.4)

# Set the extent of the map to cover the entire US
ax.set_xlim(-175, -60)
ax.set_ylim(18, 72)

# Turn off axis labels and ticks
ax.get_xaxis().set_visible(False)
ax.get_yaxis().set_visible(False)
ax.axis('off')
ax.set_aspect('equal')

plt.title('Title', size=18, weight='bold')
plt.show()

我正在使用人口普查局的 shapefile，列如下所示：

Index(['STATEFP', 'COUNTYFP', 'COUNTYNS', 'AFFGEOID', 'GEOID', 'NAME', 'LSAD',
       'ALAND', 'AWATER', 'geometry'],
      dtype='object')

最后，我需要用 Python 编写这个程序，我已经看到了一些 R 的答案，但没有 Python 的答案。这里的任何帮助将不胜感激！