zospy.analyses.mtf.fft_through_focus_mtf.FFTThroughFocusMTFResult

class zospy.analyses.mtf.fft_through_focus_mtf.FFTThroughFocusMTFResult

Bases: RootModel[list[FFTThroughFocusMTFData]]

Attributes:

model_extra

Get extra fields set during validation.

model_fields_set

Returns the set of fields that have been explicitly set on this model instance.

Methods

copy(*[, include, exclude, update, deep])	Returns a copy of the model.
model_construct(root[, _fields_set])	Create a new model using the provided root object and update fields set.
model_copy(*[, update, deep])	!!! abstract "Usage Documentation"
model_dump(*[, mode, include, exclude, ...])	!!! abstract "Usage Documentation"
model_dump_json(*[, indent, include, ...])	!!! abstract "Usage Documentation"
model_json_schema([by_alias, ref_template, ...])	Generates a JSON schema for a model class.
model_parametrized_name(params)	Compute the class name for parametrizations of generic classes.
model_post_init(context, /)	Override this method to perform additional initialization after __init__ and model_construct.
model_rebuild(*[, force, raise_errors, ...])	Try to rebuild the pydantic-core schema for the model.
model_validate(obj, *[, strict, ...])	Validate a pydantic model instance.
model_validate_json(json_data, *[, strict, ...])	!!! abstract "Usage Documentation"
model_validate_strings(obj, *[, strict, ...])	Validate the given object with string data against the Pydantic model.
to_dataframe()	Convert the data to a Pandas DataFrame.

construct
dict
from_orm
json
parse_file
parse_obj
parse_raw
schema
schema_json
update_forward_refs
validate

model_config: ClassVar[ConfigDict] = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

to_dataframe() → DataFrame

Convert the data to a Pandas DataFrame.

The separate dataframes for each field are combined in a DataFrame in long format. In addition to the columns for each wavelength, the returned DataFrame has the following columns:

• Direction: The direction of the fan, either ‘Tangential’ or ‘Sagittal’.

• Field Number: The field number.

• Field: The field coordinate.

Returns:

DataFrame

The data in long format.