I’m definitely very excited about the capabilities of chatGPT, and will be using it to work on other more difficult coding tasks in the future. Neither of these statements are true, but perhaps that is not the point of chatGPT. This is why it so confidently claims that gridify is part of the geopandas library, and when proven wrong, claims that gridify is part of shapely library instead.
I could probably ask chatGPT to do this next step as well, but unfortunately the bot is currently unavailable because too many people are using it - something that’s been happening more and more often lately. …and it works!! The code above managed to create a grid of cells as a geodataframe, which could be cropped to fit onto a specific area (e.g. I asked it, “python code for generating a grid of cells as a geodataframe”, and here is its response: import geopandas as gpd from shapely.geometry import Polygon # Define the bounds of the grid min_x, min_y = 0, 0 max_x, max_y = 10, 10 # Define the size of the cells in the grid cell_width, cell_height = 1, 1 # Define the projection to use crs = "EPSG:4326" # WGS84 # Initialize an empty list to store the grid cells grid_cells = # Iterate over the bounds of the grid and create a Polygon object for each cell for x in range(min_x, max_x, cell_width): for y in range(min_y, max_y, cell_height): # Define the coordinates of the cell cell_coords = # Create the Polygon object cell = Polygon(cell_coords) # Add the Polygon to the list grid_cells.append(cell) # Create the GeoDataFrame gdf = gpd.GeoDataFrame(geometry=grid_cells, crs=crs) # Visualize the grid gdf.plot() My first conversation with chat GPT clearly wasn’t going very well, so I decided to start again, and ask my question more clearly.
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