yt.fields.field_detector module

The field detector.

class yt.fields.field_detector.FieldDetector(nd=16, ds=None, flat=False, field_parameters=None)[source]

Bases: collections.defaultdict

Level = 1
NumberOfParticles = 1
apply_units(arr, units)[source]
clear() → None. Remove all items from D.
copy() → a shallow copy of D.

Factory for default value called by __missing__().

deposit(*args, **kwargs)[source]
domain_id = 0
fp_units = {'bulk_velocity': 'cm/s', 'normal': '', 'center': 'cm', 'cp_y_vec': '', 'x_hat': '', 'cp_z_vec': '', 'cp_x_vec': '', 'bulk_magnetic_field': 'G', 'y_hat': '', 'z_hat': ''}

Returns a new dict with keys from iterable and values equal to value.

get(k[, d]) → D[k] if k in D, else d. d defaults to None.
get_field_parameter(param, default=0.0)[source]
id = 1
items() → a set-like object providing a view on D's items
keys() → a set-like object providing a view on D's keys
particle_operation(*args, **kwargs)[source]
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
smooth(*args, **kwargs)[source]
update([E, ]**F) → None. Update D from dict/iterable E and F.

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

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