podpac.algorithm.SelectCoordinates

class podpac.algorithm.SelectCoordinates(**kwargs)

Bases: podpac.core.algorithm.coord_select.ModifyCoordinates

Evaluate a source node with select coordinates.

While this is simple to do when evaluating a single node (just provide the coordinates), this functionality is needed for nodes buried deeper in a pipeline. For example, if a single spatial reference point is used for a particular comparison, and this reference point is different than the requested coordinates, we need to explicitly select those coordinates using this Node.

lat, lon, time, altList

Selection parameters for the given dimension: The options are::

• [value]: select this coordinate value

• [start, stop]: select the available source coordinates within the given bounds

• [start, stop, step]: select uniform coordinates defined by the given start, stop, and step

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
create_output_array(coords[, data, attrs])	Initialize an output data array
eval(coordinates, **kwargs)	Evaluate the node at the given coordinates.
eval_group(group)	Evaluate the node for each of the coordinates in the group.
find_coordinates()	Get the available coordinates for the inputs to the Node.
from_url(url)	Create podpac Node from a WMS/WCS request.
get_cache(key[, coordinates])	Get cached data for this node.
get_modified_coordinates1d(coords, dim)	Get the desired 1d coordinates for the given dimension, depending on the selection attr for the given dimension.
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.
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.
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	An instance of a Python list.
attrs	List of node attributes
base_ref	Default reference/name in node definitions
cache_ctrl	A trait whose value must be an instance of a specified class.
cache_output	A boolean (True, False) trait.
coordinates_source
definition
dtype	A trait which allows any value.
force_eval	A boolean (True, False) trait.
hash	hash for this node, used in caching and to determine equality.
inputs
json	Definition for this node in JSON format.
json_pretty	Definition for this node in JSON format, with indentation suitable for display.
lat	An instance of a Python list.
lon	An instance of a Python list.
output	A trait for unicode strings.
outputs	An instance of a Python list.
source
style	A trait whose value must be an instance of a specified class.
substitute_eval_coords	A boolean (True, False) trait.
time	An instance of a Python list.
units	A trait for unicode strings.

Members

__init__(**kwargs)

Do not overwrite me

get_modified_coordinates1d(coords, dim)

Get the desired 1d coordinates for the given dimension, depending on the selection attr for the given dimension:

:param coords: The requested input coordinates
:type coords: Coordinates
:param dim: Dimension for doing the selection
:type dim: str

Returns

coords1d – The selected coordinates for the given dimension.

Return type

ArrayCoordinates1d