yt.frontends.adaptahop.fields module¶
AdaptaHOP-specific fields
- class yt.frontends.adaptahop.fields.AdaptaHOPFieldInfo(ds, field_list: list[tuple[str, str]], slice_info=None)[source]¶
Bases:
FieldInfoContainer
- 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
objectsvector_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: Callable, sampling_type: str, *, alias: DerivedField | None = 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
objectsvector_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: str | None = None, deprecate: tuple[str, str | None] | None = None)¶
Alias one field to another field.
- Parameters:
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='')¶
- 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. ¶
- 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: KnownFieldsT = ()¶
- known_particle_fields: tuple[tuple[str, tuple[str, list[str], str | None]], ...] = (('particle_identifier', ('', [], 'Halo Identity')), ('raw_position_x', ('Mpc', [], None)), ('raw_position_y', ('Mpc', [], None)), ('raw_position_z', ('Mpc', [], None)), ('r', ('Mpc', [], 'Halo radius')), ('a', ('Mpc', [], 'Halo semi-major axis')), ('b', ('Mpc', [], 'Halo semi-medium axis')), ('c', ('Mpc', [], 'Halo semi-minor axis')), ('particle_velocity_x', ('km / s', [], 'Halo velocity x')), ('particle_velocity_y', ('km / s', [], 'Halo velocity y')), ('particle_velocity_z', ('km / s', [], 'Halo velocity z')), ('particle_angular_momentum_x', ('1e11 * Msun * Mpc * km / s', [], 'Halo Angular Momentum x')), ('particle_angular_momentum_y', ('1e11 * Msun * Mpc * km / s', [], 'Halo Angular Momentum y')), ('particle_angular_momentum_z', ('1e11 * Msun * Mpc * km / s', [], 'Halo Angular Momentum z')), ('particle_mass', ('1e11 * Msun', [], 'Halo mass')), ('ek', ('1e11 * Msun * km**2 / s**2', [], 'Halo Kinetic Energy')), ('ep', ('1e11 * Msun * km**2 / s**2', [], 'Halo Gravitational Energy')), ('ek', ('1e11 * Msun * km**2 / s**2', [], 'Halo Total Energy')), ('spin', ('', [], 'Halo Spin Parameter')), ('virial_radius', ('Mpc', [], 'Halo Virial Radius')), ('virial_mass', ('1e11 * Msun', [], 'Halo Virial Mass')), ('virial_temperature', ('K', [], 'Halo Virial Temperature')), ('virial_velocity', ('km / s', [], 'Halo Virial Velocity')), ('rho0', ('1e11 * Msun / Mpc**3', [], 'Halo NFW Density')), ('R_c', ('Mpc', [], 'Halo NFW Scale Radius')), ('velocity_dispersion', ('km/s', [], 'Velocity Dispersion')), ('radius_200', ('Mpc', [], '$R_\\mathrm{200}$')), ('radius_50', ('Mpc', [], '$R_\\mathrm{50}$')), ('mass_200', ('1e11 * Msun', [], '$M_\\mathrm{200}$')), ('mass_50', ('1e11 * Msun', [], '$M_\\mathrm{50}$')), ('contaminated', ('', [], 'Contaminated')), ('m_contam', ('1e11 * Msun', [], 'Contaminated Mass')))¶
- 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_fields()¶
- setup_fluid_index_fields()¶
- 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 ¶