[1056] Create a GeoDataFrame in GeoPandas with a list of data and geometry

To create a GeoDataFrame in GeoPandas with a list of data and geometry, you can follow these steps:

1. Install GeoPandas (if you haven’t already):

   pip install geopandas

2. Import the necessary libraries:

   import geopandas as gpd
   from shapely.geometry import Point

3. Prepare your data and geometry:

   # Example data
   data = {
       'name': ['Location1', 'Location2', 'Location3'],
       'value': [10, 20, 30]
   }
    
   # Example geometry (list of Point objects)
   geometry = [Point(1, 1), Point(2, 2), Point(3, 3)]

4. Create the GeoDataFrame:

   # Create a GeoDataFrame
   gdf = gpd.GeoDataFrame(data, geometry=geometry)
    
   # Display the GeoDataFrame
   print(gdf)

Here’s the complete code snippet:

import geopandas as gpd
from shapely.geometry import Point
 
# Example data
data = {
    'name': ['Location1', 'Location2', 'Location3'],
    'value': [10, 20, 30]
}
 
# Example geometry (list of Point objects)
geometry = [Point(1, 1), Point(2, 2), Point(3, 3)]
 
# Create a GeoDataFrame
gdf = gpd.GeoDataFrame(data, geometry=geometry)
 
# Display the GeoDataFrame
print(gdf)

Explanation:

1. Import Libraries: Import geopandas for creating GeoDataFrames and shapely.geometry.Point for creating point geometries.
2. Prepare Data: Create a dictionary with your data. In this example, we have a list of names and values.
3. Prepare Geometry: Create a list of Point objects representing the geometries.
4. Create GeoDataFrame: Use gpd.GeoDataFrame to create the GeoDataFrame, passing the data and geometry.

This will create a GeoDataFrame with your data and corresponding geometries.

Would you like to know more about working with GeoDataFrames or any other specific functionality?