podpac.algorithm.Arithmetic

class podpac.algorithm.Arithmetic(**kwargs: Any)

Bases: GenericInputs

Create a simple point-by-point computation using named input nodes.

Examples

a = SinCoords() b = Arange() arith = Arithmetic(A=a, B=b, eqn = ‘A * B + {offset}’, params={‘offset’: 1})

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
algorithm(inputs, coordinates)	Compute the algorithms equation
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_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_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()
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.
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

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.
definition
dtype	An enum whose value must be in a given sequence.
eqn	A trait for unicode strings.
force_eval	A boolean (True, False) trait.
hash
inputs	An instance of a Python dict.
json	Definition for this node in JSON format.
json_pretty	Definition for this node in JSON format, with indentation suitable for display.
output	A trait for unicode strings.
outputs	An instance of a Python list.
params	An instance of a Python dict.
style	A trait whose value must be an instance of a specified class.
units	A trait for unicode strings.

Members:

__init__(**kwargs)

Do not overwrite me

algorithm(inputs, coordinates)

Compute the algorithms equation

inputs

Evaluated outputs of the input nodes. The keys are the attribute names.

Type:

dict

coordinates

Requested coordinates. Note that the inputs may contain with different coordinates.

Type:

podpac.Coordinates

Returns:

result – Algorithm result.

Return type:

UnitsDataArray

eqn

A trait for unicode strings.

init()

params

An instance of a Python dict.

One or more traits can be passed to the constructor to validate the keys and/or values of the dict. If you need more detailed validation, you may use a custom validator method.

Changed in version 5.0: Added key_trait for validating dict keys.

Changed in version 5.0: Deprecated ambiguous trait, traits args in favor of value_trait, per_key_traits.