SimPEG.electromagnetics.natural_source.survey.Data#

class SimPEG.electromagnetics.natural_source.survey.Data(survey, dobs=None, relative_error=None, noise_floor=None)[source]#

Bases: Data, DataNSEMPlotMethods

Data class for NSEMdata.

Stores the data vector indexed by the survey.

Parameters:

Attributes

`dobs`	Vector of the observed data.
`index_dictionary`	Dictionary for indexing data by sources and receiver.
`nD`	The number of observed data
`noise_floor`	Noise floor of the data.
`relative_error`	Relative error of the data.
`shape`	The shape of the array containing the observed data
`standard_deviation`	Return data uncertainties; i.e. the estimates of the standard deviations of the noise.
`survey`	The survey for this data.

Methods

`frequency_map`(frequency, orientation, component)	Function to generate a iso-frequency map
`fromRecArray`(recArray[, srcType])	Class method that reads in a numpy record array to NSEMdata object.
`fromvec`(v)	Convert data to vector and assign to observed data
`map_data_locations`([ax])	Function that plots all receiver locations of the data
`plot_app_phs`(location[, components, ax, ...])	Plot apperent resistivity curves at a given location
`plot_app_res`(location[, components, ax, ...])	Plot apperent resistivity curves at a given location
`plot_imp_amp`(location[, components, ax, ...])	Plot impedance amplitude curves at a given location
`plot_tip_amp`(location[, components, ax, ...])	Plot tipper amplitude curves at a given location
`station_component`(location, orientation, ...)	param numpy.ndarray location: Coordnaties of the station to plot
`station_errorbars`(location, orientation, ...)	param numpy.ndarray location: Coordnaties of the station to plot
`toRecArray`([returnType])	Returns a numpy.recarray for a SimpegNSEM impedance data object.
`tovec`()	Convert observed data to a vector