How do I switch back to Fiona if needed

python
import geopandas as gpd

# Read a shapefile using Pyogrio
gdf_pyogrio = gpd.read_file("path_to_your_shapefile.shp", engine="pyogrio")

# Read a shapefile using Fiona
gdf_fiona = gpd.read_file("path_to_your_shapefile.shp", engine="fiona")

In this example, `gdf_pyogrio` will be read using the Pyogrio engine, and `gdf_fiona` will be read using the Fiona engine.

Explanation

1. Import GeoPandas: The first line imports GeoPandas.

2. Read Shapefile with Pyogrio: The second line reads a shapefile using the Pyogrio engine.

3. Read Shapefile with Fiona: The third line reads a shapefile using the Fiona engine.

Example Usage

Here is an example of how you might use this code:

python
import geopandas as gpd

# Read a shapefile using Pyogrio
gdf_pyogrio = gpd.read_file("path_to_your_shapefile.shp", engine="pyogrio")

# Perform operations on the GeoDataFrame
print(gdf_pyogrio.head())

# Read a shapefile using Fiona
gdf_fiona = gpd.read_file("path_to_your_shapefile.shp", engine="fiona")

# Perform operations on the GeoDataFrame
print(gdf_fiona.head())

In this example, the code reads a shapefile using both the Pyogrio and Fiona engines. This allows you to compare the performance and functionality of the two engines.

Conclusion

Switching between the Pyogrio and Fiona engines in GeoPandas is straightforward. By using the `engine` parameter in the `read_file` function, you can specify which engine to use for reading shapefiles. This can be useful for comparing performance and functionality between the two engines.