hydromt.data_adapter.GeoDatasetAdapter#
- class hydromt.data_adapter.GeoDatasetAdapter(path: str, driver: str | None = None, filesystem: str = 'local', crs: int | str | dict | None = None, nodata: dict | float | int | None = None, rename: dict = {}, unit_mult: dict = {}, unit_add: dict = {}, meta: dict = {}, attrs: dict = {}, driver_kwargs: dict = {}, name: str = '', catalog_name: str = '', **kwargs)[source]#
DatasetAdapter for GeoDatasets.
Initiate data adapter for geospatial timeseries data.
This object contains all properties required to read supported files into a single unified GeoDataset, i.e.
xarray.Dataset
with geospatial point geometries. In addition it keeps meta data to be able to reproduce which data is used.- Parameters:
path (
str
,Path
) – Path to data source. If the dataset consists of multiple files, the path may contain {variable}, {year}, {month} placeholders as well as path search pattern using a ‘*’ wildcard.driver (
{'vector', 'netcdf', 'zarr'}
, optional) – Driver to read files with, for ‘vector’open_geodataset()
, for ‘netcdf’xarray.open_mfdataset()
. By default the driver is inferred from the file extension and falls back to ‘vector’ if unknown.filesystem (
{'local', 'gcs', 's3'}
, optional) – Filesystem where the data is stored (local, cloud, http etc.). By default, local.crs (
int
,dict
, orstr
, optional) – Coordinate Reference System. Accepts EPSG codes (int or str); proj (str or dict) or wkt (str). Only used if the data has no native CRS.nodata (
float
,int
, optional) – Missing value number. Only used if the data has no native missing value. Nodata values can be differentiated between variables using a dictionary.rename (
dict
, optional) – Mapping of native data source variable to output source variable name as required by hydroMT.unit_mult (
dict
, optional) – Scaling multiplication and addition to change to map from the native data unit to the output data unit as required by hydroMT.unit_add (
dict
, optional) – Scaling multiplication and addition to change to map from the native data unit to the output data unit as required by hydroMT.meta (
dict
, optional) – Metadata information of dataset, prefably containing the following keys: - ‘source_version’ - ‘source_url’ - ‘source_license’ - ‘paper_ref’ - ‘paper_doi’ - ‘category’placeholders (
dict
, optional) – Placeholders to expand yaml entry to multiple entries (name and path) based on placeholder valuesattrs (
dict
, optional) – Additional attributes relating to data variables. For instance unit or long name of the variable.driver_kwargs – Additional key-word arguments passed to the driver.
dict – Additional key-word arguments passed to the driver.
optional – Additional key-word arguments passed to the driver.
name (
str
, optional) – Name of the dataset and catalog, optional for now.catalog_name (
str
, optional) – Name of the dataset and catalog, optional for now.
- __init__(path: str, driver: str | None = None, filesystem: str = 'local', crs: int | str | dict | None = None, nodata: dict | float | int | None = None, rename: dict = {}, unit_mult: dict = {}, unit_add: dict = {}, meta: dict = {}, attrs: dict = {}, driver_kwargs: dict = {}, name: str = '', catalog_name: str = '', **kwargs)[source]#
Initiate data adapter for geospatial timeseries data.
This object contains all properties required to read supported files into a single unified GeoDataset, i.e.
xarray.Dataset
with geospatial point geometries. In addition it keeps meta data to be able to reproduce which data is used.- Parameters:
path (
str
,Path
) – Path to data source. If the dataset consists of multiple files, the path may contain {variable}, {year}, {month} placeholders as well as path search pattern using a ‘*’ wildcard.driver (
{'vector', 'netcdf', 'zarr'}
, optional) – Driver to read files with, for ‘vector’open_geodataset()
, for ‘netcdf’xarray.open_mfdataset()
. By default the driver is inferred from the file extension and falls back to ‘vector’ if unknown.filesystem (
{'local', 'gcs', 's3'}
, optional) – Filesystem where the data is stored (local, cloud, http etc.). By default, local.crs (
int
,dict
, orstr
, optional) – Coordinate Reference System. Accepts EPSG codes (int or str); proj (str or dict) or wkt (str). Only used if the data has no native CRS.nodata (
float
,int
, optional) – Missing value number. Only used if the data has no native missing value. Nodata values can be differentiated between variables using a dictionary.rename (
dict
, optional) – Mapping of native data source variable to output source variable name as required by hydroMT.unit_mult (
dict
, optional) – Scaling multiplication and addition to change to map from the native data unit to the output data unit as required by hydroMT.unit_add (
dict
, optional) – Scaling multiplication and addition to change to map from the native data unit to the output data unit as required by hydroMT.meta (
dict
, optional) – Metadata information of dataset, prefably containing the following keys: - ‘source_version’ - ‘source_url’ - ‘source_license’ - ‘paper_ref’ - ‘paper_doi’ - ‘category’placeholders (
dict
, optional) – Placeholders to expand yaml entry to multiple entries (name and path) based on placeholder valuesattrs (
dict
, optional) – Additional attributes relating to data variables. For instance unit or long name of the variable.driver_kwargs – Additional key-word arguments passed to the driver.
dict – Additional key-word arguments passed to the driver.
optional – Additional key-word arguments passed to the driver.
name (
str
, optional) – Name of the dataset and catalog, optional for now.catalog_name (
str
, optional) – Name of the dataset and catalog, optional for now.
Methods
__init__
(path[, driver, filesystem, crs, ...])Initiate data adapter for geospatial timeseries data.
get_data
([bbox, geom, buffer, variables, ...])Return a clipped, sliced and unified GeoDataset.
get_filesystem
(**kwargs)Return an initialised filesystem object.
resolve_paths
([time_tuple, variables, ...])Resolve {year}, {month} and {variable} keywords in self.path.
summary
()Return a dictionary summary of the data adapter.
to_dict
()Return a dictionary view of the data source.
to_file
(data_root, data_name[, bbox, ...])Save a data slice to file.
Attributes
data_type
Return the datatype of the addapter.