rex.multi_year_resource.MultiYearWindResource

class MultiYearWindResource(h5_path, years=None, unscale=True, str_decode=True, hsds=False, hsds_kwargs=None)

Bases: MultiYearResource

Class to handle multiple years of wind resource data stored accross multiple .h5 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, which themselves can contain * wildcards. Can also be a path on HSDS starting with /nrel/ or a path on s3 starting with s3://

• years (list, optional) – List of years to access, by default None

• unscale (bool) – Boolean flag to automatically unscale variables on extraction

• str_decode (bool) – Boolean flag to decode the bytestring meta data into normal strings. Setting this to False will speed up the meta data read.

• hsds (bool, optional) – Boolean flag to use h5pyd to handle .h5 ‘files’ hosted on AWS behind HSDS, by default False. This is now redundant; file paths starting with /nrel/ will be treated as hsds=True by default

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

Methods

close()	Close h5 instance
get_attrs([dset])	Get h5 attributes either from file or dataset
get_dset_properties(dset)	Get dataset properties (shape, dtype, chunks)
get_meta_arr(rec_name[, rows])	Get a meta array by name (faster than DataFrame extraction).
get_scale_factor(dset)	Get dataset scale factor
get_units(dset)	Get dataset units

Attributes

attrs	Dictionary of all dataset attributes
chunks	Dictionary of all dataset chunk sizes
coordinates	(lat, lon) pairs
datasets	Datasets available
dsets	Datasets available
dtypes	Dictionary of all dataset dtypes
global_attrs	Global (file) attributes
h5	Open class instance that handles all .h5 files that data is to be extracted from
lat_lon	Extract (latitude, longitude) pairs
meta	Resource meta data DataFrame
res_dsets	Available resource datasets
resource_datasets	Available resource datasets
scale_factors	Dictionary of all dataset scale factors
shape	Resource shape (timesteps, sites) shape = (len(time_index), len(meta))
shapes	Dictionary of all dataset shapes
time_index	Resource DatetimeIndex
units	Dictionary of all dataset units
years	Available years

property attrs

Dictionary of all dataset attributes

Returns:

attrs (dict)

property chunks

Dictionary of all dataset chunk sizes

Returns:

chunks (dict)

close()

Close h5 instance

property coordinates

(lat, lon) pairs

Returns:

lat_lon (ndarray)

Type:

Coordinates

property datasets

Datasets available

Returns:

list

property dsets

Datasets available

Returns:

list

property dtypes

Dictionary of all dataset dtypes

Returns:

dtypes (dict)

get_attrs(dset=None)

Get h5 attributes either from file or dataset

Parameters:

dset (str) – Dataset to get attributes for, if None get file (global) attributes

Returns:

attrs (dict) – Dataset or file attributes

get_dset_properties(dset)

Get dataset properties (shape, dtype, chunks)

Parameters:

dset (str) – Dataset to get scale factor for

Returns:

• shape (tuple) – Dataset array shape

• dtype (str) – Dataset array dtype

• chunks (tuple) – Dataset chunk size

get_meta_arr(rec_name, rows=slice(None, None, None))

Get a meta array by name (faster than DataFrame extraction).

Parameters:

• rec_name (str) – Named record from the meta data to retrieve.

• rows (slice) – Rows of the record to extract.

Returns:

meta_arr (np.ndarray) – Extracted array from the meta data record name.

get_scale_factor(dset)

Get dataset scale factor

Parameters:

dset (str) – Dataset to get scale factor for

Returns:

float – Dataset scale factor, used to unscale int values to floats

get_units(dset)

Get dataset units

Parameters:

dset (str) – Dataset to get units for

Returns:

str – Dataset units, None if not defined

property global_attrs

Global (file) attributes

Returns:

global_attrs (dict)

property h5

Open class instance that handles all .h5 files that data is to be extracted from

Returns:

h5 (MultiTimeH5 | MultiYearH5)

property lat_lon

Extract (latitude, longitude) pairs

Returns:

lat_lon (ndarray)

property meta

Resource meta data DataFrame

Returns:

meta (pandas.DataFrame)

property res_dsets

Available resource datasets

Returns:

list

property resource_datasets

Available resource datasets

Returns:

list

property scale_factors

Dictionary of all dataset scale factors

Returns:

scale_factors (dict)

property shape

Resource shape (timesteps, sites) shape = (len(time_index), len(meta))

Returns:

shape (tuple)

property shapes

Dictionary of all dataset shapes

Returns:

shapes (dict)

property time_index

Resource DatetimeIndex

Returns:

time_index (pandas.DatetimeIndex)

property units

Dictionary of all dataset units

Returns:

units (dict)

property years

Available years

Returns:

list – List of dataset present in .h5 files