Python 中的多层 .gdb 文件？

Question

我试图从一些.GDB文件（文件夹？）看这里：。

我使用 GeoPandas 并执行以下操作：

# file from local path
mallard = gpd.read_file('./bird-species/E00039600_mallard.gdb/')
# geopandas included map, filtered to just this hemisphere
world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))
westhem = world[(world['continent'] == 'North America') | 
                (world['continent'] == 'South America')]

# making sure the coordinates line up:
mallard = mallard.to_crs(world.crs)

#establishing figure axes
base = westhem.plot(color='white', edgecolor='black',figsize=(11,11))

# cmap because I'd LIKE the multiple layers to exist
bbw_duck.plot(ax=base, cmap = 'Reds');

输出如下所示：

糟糕的地图 - 一种颜色

有没有办法在 GeoPandas 或 Python（Jupyter Notebook）中查看所有层？

Answer 1

是的，GeoPandas 支持图层。由于您的图层名称非常长，我建议使用图层顺序。

mallard_0 = gpd.read_file('./bird-species/E00039600_mallard.gdb/', layer=0)
mallard_1 = gpd.read_file('./bird-species/E00039600_mallard.gdb/', layer=1)

# geopandas included map, filtered to just this hemisphere
world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))
westhem = world[(world['continent'] == 'North America') | 
                (world['continent'] == 'South America')]

# making sure the coordinates line up:
mallard_0 = mallard_0.to_crs(world.crs)
mallard_1 = mallard_1.to_crs(world.crs)

# establishing figure axes
base = westhem.plot(color='white', edgecolor='black', figsize=(11, 11))

# cmap because I'd LIKE the multiple layers to exist
mallard_0.plot(ax=base, color='red', alpha=.5)
mallard_1.plot(ax=base, color='blue', alpha=.5)

如果你有更多的，你可以做一个循环来轻松地一次绘制它们。

编辑：Geopandas 在后台使用 Fiona 进行文件处理，因此如果您想查看图层列表，请使用

import fiona
fiona.listlayers('./bird-species/E00039600_mallard.gdb')

Edit2: Loop over all layers 然后看起来像这样：

import fiona

# geopandas included map, filtered to just this hemisphere
world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))
westhem = world[(world['continent'] == 'North America') | 
                (world['continent'] == 'South America')]
base = westhem.plot(color='white', edgecolor='black', figsize=(11, 11))

layers = fiona.listlayers('./bird-species/E00039600_mallard.gdb')

for l in layers:
    mallard = gpd.read_file('./bird-species/E00039600_mallard.gdb', layer=l)
    mallard = mallard.to_crs(world.crs)
    mallard.plot(ax=base, color='red', alpha=.1)