Make a union of polygons in GeoPandas, or Shapely (into a single geometry)

Make a union of polygons in GeoPandas, or Shapely (into a single geometry)

In both GeoPandas and Shapely, you can create a union of multiple polygons to merge them into a single geometry. Let's see how you can achieve this using both libraries:

Using Shapely:

Shapely provides a unary_union() function to create a union of multiple geometries, including polygons. Here's how you can do it:

from shapely.geometry import Polygon from shapely.ops import unary_union # Create some example polygons polygon1 = Polygon([(0, 0), (0, 1), (1, 1), (1, 0)]) polygon2 = Polygon([(0.5, 0.5), (0.5, 1.5), (1.5, 1.5), (1.5, 0.5)]) # Create a union of the polygons union_polygon = unary_union([polygon1, polygon2]) print(union_polygon)

Using GeoPandas:

GeoPandas is built on top of Shapely and provides a more comprehensive way of handling geospatial data, including the ability to work with GeoDataFrames. Here's how you can create a union of polygons using GeoPandas:

import geopandas as gpd from shapely.geometry import Polygon # Create a GeoDataFrame with example polygons data = {'geometry': [Polygon([(0, 0), (0, 1), (1, 1), (1, 0)]), Polygon([(0.5, 0.5), (0.5, 1.5), (1.5, 1.5), (1.5, 0.5)])]} gdf = gpd.GeoDataFrame(data) # Create a union of the polygons union_geometry = gdf.unary_union print(union_geometry)

Both examples demonstrate how to create a union of polygons using the unary_union() function. Remember that unions of complex geometries can result in multi-polygons or other more complex structures, depending on the input geometries.

Examples

  1. "How to merge multiple polygons into one in GeoPandas?"

    Description: Merging multiple polygons into a single geometry in GeoPandas involves using the unary_union function. This operation creates a new geometry representing the union of all input polygons.

    import geopandas as gpd # Load GeoDataFrame with polygons gdf = gpd.read_file('polygons.shp') # Merge all polygons into a single geometry merged_polygon = gdf.unary_union print(merged_polygon)

  2. "Combining polygons into one geometry using Shapely in Python"

    Description: Shapely provides functionalities to work with geometric objects in Python. To combine multiple polygons into a single geometry, you can use the unary_union function.

    from shapely.geometry import Polygon, MultiPolygon # List of polygons polygons = [Polygon([(0, 0), (0, 1), (1, 1), (1, 0)]), Polygon([(1, 0), (1, 1), (2, 1), (2, 0)])] # Combine polygons into a single geometry merged_polygon = MultiPolygon(polygons).buffer(0) print(merged_polygon)

  3. "How to create a union of polygons in GeoPandas?"

    Description: GeoPandas offers functionalities to manipulate and analyze geospatial data. To create a union of multiple polygons, you can utilize the unary_union function.

    import geopandas as gpd # Load GeoDataFrame with polygons gdf = gpd.read_file('polygons.shp') # Create a union of all polygons union_polygon = gdf.unary_union print(union_polygon)

  4. "Merging multiple polygons into a single geometry using Shapely"

    Description: Shapely provides utilities for geometric operations in Python. To merge multiple polygons into a single geometry, you can use the unary_union function.

    from shapely.geometry import Polygon, MultiPolygon # List of polygons polygons = [Polygon([(0, 0), (0, 1), (1, 1), (1, 0)]), Polygon([(1, 0), (1, 1), (2, 1), (2, 0)])] # Merge polygons into a single geometry merged_polygon = MultiPolygon(polygons).buffer(0) print(merged_polygon)

  5. "Creating a single geometry from multiple polygons in GeoPandas"

    Description: GeoPandas provides functionalities for working with geospatial data in Python. To create a single geometry from multiple polygons, you can use the unary_union function.

    import geopandas as gpd # Load GeoDataFrame with polygons gdf = gpd.read_file('polygons.shp') # Create a single geometry from all polygons merged_geometry = gdf.geometry.unary_union print(merged_geometry)

  6. "How to merge polygons into one in Shapely?"

    Description: Shapely is a Python library for geometric operations. To merge multiple polygons into one, you can use the unary_union function.

    from shapely.geometry import Polygon, MultiPolygon # List of polygons polygons = [Polygon([(0, 0), (0, 1), (1, 1), (1, 0)]), Polygon([(1, 0), (1, 1), (2, 1), (2, 0)])] # Merge polygons into a single geometry merged_polygon = MultiPolygon(polygons).buffer(0) print(merged_polygon)

  7. "Combining multiple polygons into one geometry using GeoPandas"

    Description: GeoPandas is a Python library for working with geospatial data. To combine multiple polygons into one geometry, you can use the unary_union function.

    import geopandas as gpd # Load GeoDataFrame with polygons gdf = gpd.read_file('polygons.shp') # Combine all polygons into a single geometry merged_polygon = gdf.unary_union print(merged_polygon)

  8. "Creating a union of polygons in Shapely library"

    Description: Shapely provides functionalities for geometric operations in Python. To create a union of multiple polygons, you can use the unary_union function.

    from shapely.geometry import Polygon, MultiPolygon # List of polygons polygons = [Polygon([(0, 0), (0, 1), (1, 1), (1, 0)]), Polygon([(1, 0), (1, 1), (2, 1), (2, 0)])] # Create a union of all polygons union_polygon = MultiPolygon(polygons).buffer(0) print(union_polygon)

  9. "Merging polygons into one geometry with GeoPandas"

    Description: GeoPandas simplifies working with geospatial data in Python. To merge multiple polygons into a single geometry, you can utilize the unary_union function.

    import geopandas as gpd # Load GeoDataFrame with polygons gdf = gpd.read_file('polygons.shp') # Merge all polygons into a single geometry merged_geometry = gdf.geometry.unary_union print(merged_geometry)

  10. "How to union multiple polygons into one in Python using Shapely or GeoPandas?"

    Description: Shapely and GeoPandas offer functionalities for geometric operations in Python. To union multiple polygons into one, you can use the unary_union function provided by both libraries.

    import geopandas as gpd # Load GeoDataFrame with polygons gdf = gpd.read_file('polygons.shp') # Union of all polygons union_polygon = gdf.geometry.unary_union print(union_polygon)

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