Python 用于批量插入的电子媒介。除非包中内置了自动转换器，否则这可能仍然是唯一的解决方案。同样对于PostGIS，WKB hex是加载和读取地理类型数据的首选方法。这不会关闭数据库连接。 # Imports import sqlalchemy as sal imp

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用于批量插入的电子媒介。除非包中内置了自动转换器，否则这可能仍然是唯一的解决方案。同样对于PostGIS，WKB hex是加载和读取地理类型数据的首选方法。这不会关闭数据库连接。

# Imports
import sqlalchemy as sal
import geopandas as gpd

# Function to generate WKB hex
def wkb_hexer(line):
    return line.wkb_hex

# Convert `'geom'` column in GeoDataFrame `gdf` to hex
    # Note that following this step, the GeoDataFrame is just a regular DataFrame
    # because it does not have a geometry column anymore. Also note that
    # it is assumed the `'geom'` column is correctly datatyped.
gdf['geom'] = gdf['geom'].apply(wkb_hexer)

# Create SQL connection engine
engine = sal.create_engine('postgresql://username:password@host:socket/database')

# Connect to database using a context manager
with engine.connect() as conn, conn.begin():
    # Note use of regular Pandas `to_sql()` method.
    gdf.to_sql(table_name, con=conn, schema=schema_name,
               if_exists='append', index=False)
    # Convert the `'geom'` column back to Geometry datatype, from text
    sql = """ALTER TABLE schema_name.table_name
               ALTER COLUMN geom TYPE Geometry(LINESTRING, <SRID>)
                 USING ST_SetSRID(geom::Geometry, <SRID>)"""
    conn.execute(sql)

# Imports
from geoalchemy2 import Geometry, WKTElement
from sqlalchemy import *

# Use GeoAlchemy's WKTElement to create a geom with SRID
def create_wkt_element(geom):
    return WKTElement(geom.wkt, srid = <your_SRID>)

geodataframe['geom'] = geodataframe['geom'].apply(create_wkt_element)

db_url = 'postgresql://username:password@host:socket/database'
engine = create_engine(db_url, echo=False)

# Use 'dtype' to specify column's type
# For the geom column, we will use GeoAlchemy's type 'Geometry'
your_geodataframe.to_sql(table_name, engine, if_exists='append', index=False, 
                         dtype={'geom': Geometry('POINT', srid= <your_srid>)})

# Imports
from geoalchemy2 import Geometry, WKTElement
from sqlalchemy import *

geodataframe['geom'] = geodataframe['geom'].apply(lambda geom: WKTElement(geom.wkt, srid = <your_SRID>))

db_url = 'postgresql://username:password@host:socket/database'
engine = create_engine(db_url, echo=False)

# Use 'dtype' to specify column's type
# For the geom column, we will use GeoAlchemy's type 'Geometry'
your_geodataframe.to_sql(table_name, engine, if_exists='append', index=False, 
                         dtype={'geom': Geometry('POINT', srid= <your_srid>)})