teehr.LocationTable#

class teehr.LocationTable(ev)[source]#

Bases: BaseTable

Access methods to locations table.

Methods

`distinct_values`	Return distinct values for a column.
`field_enum`	Get the location fields enum.
`fields`	Return table columns as a list.
`filter`	Apply a filter.
`load_spatial`	Import geometry data.
`order_by`	Apply an order_by.
`query`	Run a query against the table with filters and order_by.
`to_geopandas`	Return GeoPandas DataFrame.
`to_pandas`	Return Pandas DataFrame for Location Table.
`to_sdf`	Return PySpark DataFrame.
`validate`	Validate the dataset table against the schema.

load_spatial(in_path: Path | str, field_mapping: dict | None = None, pattern: str = '**/*.parquet', **kwargs)[source]#

Import geometry data.

Parameters:

in_path (Union[Path, str]) – The input file or directory path. Any file format that can be read by GeoPandas.
field_mapping (dict, optional) – A dictionary mapping input fields to output fields. Format: {input_field: output_field}
pattern (str, optional (default: "**/*.parquet")) – The pattern to match files. Only used when in_path is a directory.
**kwargs – Additional keyword arguments are passed to GeoPandas read_file().
File is first read by GeoPandas, field names renamed and
then validated and inserted into the dataset.

Notes

The TEEHR Location Crosswalk table schema includes fields: