geopandas.GeoDataFrame.to_postgis

GeoDataFrame.to_postgis(self, name, con, schema=None, if_exists='fail', index=False, index_label=None, chunksize=None, dtype=None)

Upload GeoDataFrame into PostGIS database.

This method requires SQLAlchemy and GeoAlchemy2, and a PostgreSQL Python driver (e.g. psycopg2) to be installed.

Parameters

namestr

Name of the target table.

consqlalchemy.engine.Engine

Active connection to the PostGIS database.

if_exists{‘fail’, ‘replace’, ‘append’}, default ‘fail’

How to behave if the table already exists:

• fail: Raise a ValueError.

• replace: Drop the table before inserting new values.

• append: Insert new values to the existing table.

schemastring, optional

Specify the schema. If None, use default schema: ‘public’.

indexbool, default True

Write DataFrame index as a column. Uses index_label as the column name in the table.

index_labelstring or sequence, default None

Column label for index column(s). If None is given (default) and index is True, then the index names are used.

chunksizeint, optional

Rows will be written in batches of this size at a time. By default, all rows will be written at once.

dtypedict of column name to SQL type, default None

Specifying the datatype for columns. The keys should be the column names and the values should be the SQLAlchemy types.

Examples

>>> from sqlalchemy import create_engine
>>> engine = create_engine("postgres://myusername:mypassword@myhost:5432/mydatabase";)
>>> gdf.to_postgis("my_table", engine)

geopandas.GeoDataFrame.to_feather geopandas.GeoDataFrame.crs