ytree.frontends.moria.fields.MoriaFieldInfo

class ytree.frontends.moria.fields.MoriaFieldInfo(arbor)[source]
__init__(arbor)

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__(arbor) Initialize self.
add_alias_field(alias, field[, units, force_add]) Add an alias field.
add_analysis_field(name, units[, dtype, default]) Add an analysis field.
add_derived_field(name, function[, units, …]) Add a derived field.
add_vector_field(fieldname) Add vector and magnitude fields for a field with x/y/z components.
clear()
copy()
fromkeys Create a new dictionary with keys from iterable and values set to value.
get Return the value for key if key is in the dictionary, else default.
items()
keys()
pop(k[,d]) If key is not found, d is returned if given, otherwise KeyError is raised
popitem Remove and return a (key, value) pair as a 2-tuple.
resolve_field_dependencies(fields[, fcache, …]) Divide fields into those to be read and those to generate.
setdefault Insert key with a value of default if key is not in the dictionary.
setup_aliases() Add aliases defined in the alias_fields tuple for each frontend.
setup_derived_fields() Add stock derived fields.
setup_known_fields() Add units for all <fieldname>_<number> fields as well.
setup_vector_fields() Add vector and magnitude fields.
update([E, ]**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()

Attributes

alias_fields
data_types
known_fields
vector_fields