rex.multi_time_resource.MultiTimeH5

class MultiTimeH5(h5_path, res_cls=<class 'rex.resource.Resource'>, hsds=False, hsds_kwargs=None, **res_cls_kwargs)

Bases: object

Class to handle h5 Resources stored over multiple temporal files

Parameters:

• h5_path (str | list) – Unix shell style pattern path with * wildcards to multi-file resource file sets. Files must have the same coordinates but can have different datasets or time indexes. Can also be an explicit list of multi time files.

• res_cls (obj) – Resource class to use to open and access resource data

• hsds (bool) – Boolean flag to use h5pyd to handle .h5 ‘files’ hosted on AWS behind HSDS

• hsds_kwargs (dict, optional) – Dictionary of optional kwargs for h5pyd, e.g., bucket, username, password, by default None

• res_cls_kwargs (dict, optional) – Kwargs for res_cls

Methods

close()

Close all h5py.File instances

Attributes

attrs	Global .h5 file attributes sourced from first .h5 file
datasets	Available datasets
files	Available file paths
h5	open h5 file handler for a single .h5 file
h5_files	.h5 files data is being sourced from
resource_datasets	Available resource datasets
shape	Dataset shape (time, sites)
time_index	Multi-year datetime index

property attrs

Global .h5 file attributes sourced from first .h5 file

Returns:

attrs (dict)

property files

Available file paths

Returns:

list

property h5_files

.h5 files data is being sourced from

Returns:

list

property h5

open h5 file handler for a single .h5 file

Returns:

h5py.File

property datasets

Available datasets

Returns:

list

property resource_datasets

Available resource datasets

Returns:

list

property shape

Dataset shape (time, sites)

Returns:

tuple

property time_index

Multi-year datetime index

Returns:

pandas.DatatimeIndex

close()

Close all h5py.File instances