podpac.algorithm.SelectCoordinates

class podpac.algorithm.SelectCoordinates(**kwargs)[source]

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])

Initialize an output data array

eval(coordinates[, output])

Evaluates this nodes using the supplied coordinates.

eval_group(group)

Evaluate the node for each of the coordinates in the group.

find_coordinates()

Get the available native 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, overwrite])

Cache data for this node.

rem_cache(key[, coordinates, mode])

Clear cached data for this node.

save(path)

Write node to file.

trait_is_defined(name)

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.

cache_update

A boolean (True, False) trait.

coordinates_source

definition

dtype

A trait which allows any value.

hash

inputs

json

json_pretty

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)[source]

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

:param dim: Dimension for doing the selection
:type dim: str
Returns

coords1d – The selected coordinates for the given dimension.

Return type

ArrayCoordinates1d