PostgresOSM.get_table_column_info(subregion_name, layer_name, as_dict=False, table_named_as_subregion=False, schema_named_as_layer=False)[source]

Get information about columns of a specific schema and table data of a geographic (sub)region.

  • subregion_name (str) – name of a geographic (sub)region, which acts as a table name

  • layer_name (str) – name of an OSM layer (e.g. ‘points’, ‘railways’, …), which acts as a schema name

  • as_dict (bool) – whether to return the column information as a dictionary, defaults to True

  • table_named_as_subregion (bool) – whether to use subregion name as table name, defaults to False

  • schema_named_as_layer (bool) – whether a schema is named as a layer name, defaults to False


information about each column of the given table

Return type:

pandas.DataFrame | dict


>>> from pydriosm.ios import PostgresOSM

>>> osmdb = PostgresOSM(database_name='osmdb_test')
Password (postgres@localhost:5432): ***
Creating a database: "osmdb_test" ... Done.
Connecting postgres:***@localhost:5432/osmdb_test ... Successfully.

>>> subrgn_name = 'London'
>>> lyr_name = 'points'

>>> # Take for example a table named "points"."London"
>>> tbl_col_info = osmdb.get_table_column_info(subrgn_name, lyr_name)
>>> type(tbl_col_info)
>>> tbl_col_info.index.to_list()[:5]

>>> # Another example of a table named "points"."Greater London"
>>> tbl_col_info_dict = osmdb.get_table_column_info(
...     subrgn_name, lyr_name, as_dict=True, table_named_as_subregion=True,
...     schema_named_as_layer=True)
>>> type(tbl_col_info_dict)
>>> list(tbl_col_info_dict.keys())[:5]

>>> # Delete the database 'osmdb_test'
>>> osmdb.drop_database(verbose=True)
To drop the database "osmdb_test" from postgres:***@localhost:5432
? [No]|Yes: yes
Dropping "osmdb_test" ... Done.