从SHP文件多边形生成图时遭遇AttributeError：'str'对象无itertuples属性的解决方法求助

Hey there! Let's break down what's causing this error and fix it step by step.

The Root Cause #

Your mistake is a tiny syntax error in how you're loading the shapefile:

cities = gpd.read_file =('/Users/xxx/Desktop/Example/cities.shp')

Instead of calling the gpd.read_file() function and assigning its output (a GeoDataFrame) to cities, you're actually assigning the string file path directly to cities. That's why Python treats cities as a plain string—which doesn't have the itertuples() method you're trying to use.

Corrected Code #

Here's the fixed version of your script, with a few quality-of-life tweaks:

import geopandas as gpd
import osmnx as ox

# Define your shapefile path (you can reuse this variable for reading)
path_to_shp = r'/Users/xxx/Desktop/Example/cities.shp'

# Correctly load the shapefile into a GeoDataFrame
cities = gpd.read_file(path_to_shp)

# Iterate over each row in the GeoDataFrame
for item in cities.itertuples():
    # Confirm the 'gen' field exists (adjust if your column has a different name!)
    print(item.gen)
    # Generate the graph from the polygon geometry
    graph = ox.graph_from_polygon(item.geometry)
    # Use an f-string for cleaner filename construction
    ox.save_graphml(graph, filepath=f'/Users/xxx/Desktop/{item.gen}.graphml')

Quick Checks to Avoid Future Headaches #

• Validate Column Names: Double-check that your shapefile actually has a column named gen. If not, replace item.gen with the correct column name (like item.city_name or whatever matches your data).
• Confirm GeoDataFrame Load: After loading, run print(cities.head()) to make sure the shapefile loaded properly and you can see all your columns.
• Path Best Practices: Using f-strings for file paths makes the code easier to read and less likely to have concatenation errors.

内容的提问来源于stack exchange，提问作者Tauboga