是否有python选项可以“按位置连接属性”？

我正在尝试执行join attributes by locationQGIS菜单“矢量”>“数据管理工具”上的功能。我正在为此寻找开放源代码的python选项。我知道arcpy具有spatial join功能，但是我正在尝试在ESRI环境之外执行此操作。

您可能想看看Shapely和Fiona。Fiona是gdal的包装器，可简化空间文件的导入和导出。匀称地提供几何功能。这是一个非常简单的示例，可以为您提供想法。它将多边形属性连接到该多边形内的所有点。

我使用的示例数据是这些多边形和这些点。

import fiona
from shapely.geometry import shape
from copy import deepcopy

with fiona.open("planning_neighborhoods.shp", "r") as n: 

    with fiona.open("Schools_Private_Pt.shp", "r") as s:

        # create a schema for the attributes
        outSchema =  deepcopy(s.schema)
        outSchema['properties'].update(n.schema['properties'])

        with fiona.open ("Schools_withNbhd.shp", "w", s.driver, outSchema, s.crs) as output:

            for school in s: 
                for neighborhood in n:
                    # check if point is in polygon and set attribute
                    if shape(school['geometry']).within(shape(neighborhood['geometry'])):  
                        school['properties']['neighborho'] = neighborhood['properties']['neighborho'] 
                    # write out
                        output.write({                                 
                            'properties': school['properties'], 
                            'geometry': school['geometry']
                        })

尽管仍然有些困难，尤其是在文档和示例方面，但是大熊猫的前途一片光明。它基本上将熊猫数据框的功能与Shape的地理空间功能结合在一起。

您寻找的功能称为sjoin

确保您的机器/实例有足够的内存来执行操作

import geopandas as gpd
import pandas as pd
import os

gdfLeft = gpd.read_file(os.path.join(PATH,INPUT_FILE_NAME_1))
gdfRight = gpd.read_file(os.path.join(PATH,INPUT_FILE_NAME_2))

gdfJoined = gpd.sjoin(gdfLeft, gdfRight, how="left", op='intersects')