podpac.data.H5PY

class podpac.data.H5PY(**kwargs: Any)

Bases: InterpolationMixin, H5PYRaw

h5py datasource with interpolation.

Alternative Constructors

from_definition(definition)	Create podpac Node from a dictionary definition.
from_json(s)	Create podpac Node from a JSON definition.

Methods

__init__(**kwargs)	Do not overwrite me
close_dataset()	Closes the file.
create_output_array(coords[, data, attrs, ...])	Initialize an output data array
dataset_attrs([key])	Dataset or group key for which attributes will be summarized.
eval(coordinates, **kwargs)	Wraps the super Node.eval method in order to cache with the correct coordinates.
eval_group(group)	Evaluate the node for each of the coordinates in the group.
find_coordinates()	Get the available coordinates for the Node.
from_name_params(name[, params])	Create podpac Node from a WMS/WCS request.
from_url(url)	Create podpac Node from a WMS/WCS request.
get_bounds([crs])	Get the full available coordinate bounds for the Node.
get_cache(key[, coordinates])	Get cached data for this node.
get_coordinates()	Returns a Coordinates object that describes the coordinates of the data source.
get_data(coordinates, coordinates_index)	This method must be defined by the data source implementing the DataSource class.
get_source_data([bounds])	Get source data, without interpolation.
get_ui_spec([help_as_html])	Get spec of node attributes for building a ui
has_cache(key[, coordinates])	Check for cached data for this node.
init()	Overwrite this method if a node needs to do any additional initialization after the standard initialization.
load(path)	Create podpac Node from file.
probe([lat, lon, time, alt, crs])	Evaluates every part of a node / pipeline at a point and records which nodes are actively being used.
put_cache(data, key[, coordinates, expires, ...])	Cache data for this node.
rem_cache(key[, coordinates, mode])	Clear cached data for this node.
save(path)	Write node to file.
set_coordinates(coordinates[, force])	Set the coordinates.
trait_defaults(*names, **metadata)	Return a trait's default value or a dictionary of them
trait_has_value(name)	Returns True if the specified trait has a value.
trait_is_defined(name)
trait_values(**metadata)	A dict of trait names and their values.

Attributes

alt_key	A trait for unicode strings.
array_dims	An instance of a Python list.
attrs	List of node attributes
available_data_keys
base_ref	Default reference/name in node definitions
boundary	An instance of a Python dict.
cache_coordinates	A boolean (True, False) trait.
cache_ctrl	A trait whose value must be an instance of a specified class.
cache_output	A boolean (True, False) trait.
cf_calendar	A trait for unicode strings.
cf_time	A boolean (True, False) trait.
cf_units	A trait for unicode strings.
coordinate_index_type	An enum whose value must be in a given sequence.
coordinates	{coordinates}
crs	A trait for unicode strings.
data_key	A trait type representing a Union type.
dataset
definition
dims
dtype	An enum whose value must be in a given sequence.
file_mode	A trait for unicode strings.
force_eval	A boolean (True, False) trait.
hash
interpolation
json	Definition for this node in JSON format.
json_pretty	Definition for this node in JSON format, with indentation suitable for display.
keys
lat_key	A trait for unicode strings.
lon_key	A trait for unicode strings.
nan_val	A trait which allows any value.
nan_vals	An instance of a Python list.
output	A trait for unicode strings.
outputs	An instance of a Python list.
skip_validation	A boolean (True, False) trait.
source	A trait for unicode strings.
style	A trait whose value must be an instance of a specified class.
time_key	A trait for unicode strings.
udims	datasource udims.
units	A trait for unicode strings.

Members:

__init__(**kwargs)

Do not overwrite me