yt.fields.field_info_container module

class yt.fields.field_info_container.FieldInfoContainer(ds, field_list: List[Tuple[str, str]], slice_info=None)

Bases: collections.UserDict

This is a generic field container. It contains a list of potential derived fields, all of which know how to act on a data object and return a value. This object handles converting units as well as validating the availability of a given field.

add_deprecated_field(name, function, sampling_type, since, removal=None, ret_name=None, **kwargs)

Add a new field which is deprecated, along with supplemental metadata, to the list of available fields. This respects a number of arguments, all of which are passed on to the constructor for DerivedField.

Parameters

• name (str) – is the name of the field.

• function (callable) – A function handle that defines the field. Should accept arguments (field, data)

• sampling_type (str) – “cell” or “particle” or “local”

• since (str) – The version string marking when this field was deprecated.

• removal (str) – The version string marking when this field will be removed.

• ret_name (str) – The name of the field which will actually be returned, used only by alias().

• units (str) – A plain text string encoding the unit. Powers must be in python syntax (** instead of ^). If set to “auto” the units will be inferred from the return value of the field function.

• take_log (bool) – Describes whether the field should be logged

• validators (list) – A list of FieldValidator objects

• vector_field (bool) – Describes the dimensionality of the field. Currently unused.

• display_name (str) – A name used in the plots

add_field(name: Tuple[str, str], function: collections.abc.Callable, sampling_type: str, *, alias: Optional[yt.fields.derived_field.DerivedField] = None, force_override: bool = False, **kwargs) → None

Add a new field, along with supplemental metadata, to the list of available fields. This respects a number of arguments, all of which are passed on to the constructor for DerivedField.

Parameters

• name (tuple[str, str]) – field (or particle) type, field name

• function (callable) – A function handle that defines the field. Should accept arguments (field, data)

• sampling_type (str) – “cell” or “particle” or “local”

• force_override (bool) – If False (default), an error will be raised if a field of the same name already exists.

• alias (DerivedField (optional):) – existing field to be aliased

• units (str) – A plain text string encoding the unit. Powers must be in python syntax (** instead of ^). If set to “auto” the units will be inferred from the return value of the field function.

• take_log (bool) – Describes whether the field should be logged

• validators (list) – A list of FieldValidator objects

• vector_field (bool) – Describes the dimensionality of the field. Currently unused.

• display_name (str) – A name used in the plots

add_output_field(name, sampling_type, **kwargs)

alias(alias_name: Tuple[str, str], original_name: Tuple[str, str], units: Optional[str] = None, deprecate: Optional[Tuple[str, Optional[str]]] = None)

Alias one field to another field.

Parameters

• alias_name (tuple[str, str]) – The new field name.

• original_name (tuple[str, str]) – The field to be aliased.

• units (str) – A plain text string encoding the unit. Powers must be in python syntax (** instead of ^). If set to “auto” the units will be inferred from the return value of the field function.

• deprecate (tuple[str, str | None] | None) – If this is set, then the tuple contains two string version numbers: the first marking the version when the field was deprecated, and the second marking when the field will be removed.

check_derived_fields(fields_to_check=None)

clear() → None.  Remove all items from D.

copy()

classmethod create_with_fallback(fallback, name='')

property curvilinear

extra_union_fields: Tuple[Tuple[str, str], …] = ()

fallback = None

find_dependencies(loaded)

classmethod fromkeys(iterable, value=None)

get(k[, d]) → D[k] if k in D, else d.  d defaults to None.

get_aliases_gallery() → List[str]

has_key(key)

items() → a set-like object providing a view on D’s items

keys() → a set-like object providing a view on D’s keys

known_other_fields: Tuple[Tuple[str, Tuple[str, List[str], Optional[str]]], …] = ()

known_particle_fields: Tuple[Tuple[str, Tuple[str, List[str], Optional[str]]], …] = ()

load_all_plugins(ftype: Optional[str] = 'gas') → None

load_plugin(plugin_name: str, ftype: str = 'gas', skip_check: bool = False)

pop(k[, d]) → v, remove specified key and return the corresponding value.

If key is not found, d is returned if given, otherwise KeyError is raised.

popitem() → (k, v), remove and return some (key, value) pair

as a 2-tuple; but raise KeyError if D is empty.

setdefault(k[, d]) → D.get(k,d), also set D[k]=d if k not in D

setup_extra_union_fields(ptype='all')

setup_fluid_aliases(ftype: str = 'gas') → None

setup_fluid_fields()

setup_fluid_index_fields()

setup_particle_fields(ptype, ftype='gas', num_neighbors=64)

setup_smoothed_fields(ptype, num_neighbors=64, ftype='gas')

update([E, ]**F) → None.  Update D from mapping/iterable E and F.

If E present and has a .keys() method, does: for k in E: D[k] = E[k] If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k, v in F.items(): D[k] = v

values() → an object providing a view on D’s values