fooof.FOOOF¶

class fooof.FOOOF(peak_width_limits=(0.5, 12.0), max_n_peaks=inf, min_peak_height=0.0, peak_threshold=2.0, aperiodic_mode='fixed', verbose=True)[source]¶

Model a physiological power spectrum as a combination of aperiodic and periodic components.

WARNING: FOOOF expects frequency and power values in linear space.

Passing in logged frequencies and/or power spectra is not detected, and will silently produce incorrect results.

Parameters

peak_width_limitstuple of (float, float), optional, default: (0.5, 12.0): Limits on possible peak width, in Hz, as (lower_bound, upper_bound).
max_n_peaksint, optional, default: inf: Maximum number of peaks to fit.
min_peak_heightfloat, optional, default: 0: Absolute threshold for detecting peaks, in units of the input data.
peak_thresholdfloat, optional, default: 2.0: Relative threshold for detecting peaks, in units of standard deviation of the input data.
aperiodic_mode{‘fixed’, ‘knee’}: Which approach to take for fitting the aperiodic component.
verbosebool, optional, default: True: Verbosity mode. If True, prints out warnings and general status updates.

Notes

Commonly used abbreviations used in this module include: CF: center frequency, PW: power, BW: Bandwidth, AP: aperiodic
Input power spectra must be provided in linear scale. Internally they are stored in log10 scale, as this is what the model operates upon.
Input power spectra should be smooth, as overly noisy power spectra may lead to bad fits. For example, raw FFT inputs are not appropriate. Where possible and appropriate, use longer time segments for power spectrum calculation to get smoother power spectra, as this will give better model fits.
The gaussian params are those that define the gaussian of the fit, where as the peak params are a modified version, in which the CF of the peak is the mean of the gaussian, the PW of the peak is the height of the gaussian over and above the aperiodic component, and the BW of the peak, is 2*std of the gaussian (as ‘two sided’ bandwidth).

Attributes

freqs1d array: Frequency values for the power spectrum.
power_spectrum1d array: Power values, stored internally in log10 scale.
freq_rangelist of [float, float]: Frequency range of the power spectrum, as [lowest_freq, highest_freq].
freq_resfloat: Frequency resolution of the power spectrum.
fooofed_spectrum_1d array: The full model fit of the power spectrum, in log10 scale.
aperiodic_params_1d array: Parameters that define the aperiodic fit. As [Offset, (Knee), Exponent]. The knee parameter is only included if aperiodic component is fit with a knee.
peak_params_2d array: Fitted parameter values for the peaks. Each row is a peak, as [CF, PW, BW].
gaussian_params_2d array: Parameters that define the gaussian fit(s). Each row is a gaussian, as [mean, height, standard deviation].
r_squared_float: R-squared of the fit between the input power spectrum and the full model fit.
error_float: Error of the full model fit.
n_peaks_int: How many peaks were fit in the model.
has_databool: Indicator for if the object contains data.
has_modelbool: Indicator for if the object contains a model fit.

__init__(self, peak_width_limits=(0.5, 12.0), max_n_peaks=inf, min_peak_height=0.0, peak_threshold=2.0, aperiodic_mode='fixed', verbose=True)[source]¶: Initialize object with desired settings.

Methods

`__init__`(self[, peak_width_limits, …])	Initialize object with desired settings.
`add_data`(self, freqs, power_spectrum[, …])	Add data (frequencies, and power spectrum values) to the current object.
`add_meta_data`(self, fooof_meta_data)	Add data information into object from a FOOOFMetaData object.
`add_results`(self, fooof_result)	Add results data into object from a FOOOFResults object.
`add_settings`(self, fooof_settings)	Add settings into object from a FOOOFSettings object.
`copy`(self)	Return a copy of the current object.
`fit`(self[, freqs, power_spectrum, freq_range])	Fit the full power spectrum as a combination of periodic and aperiodic components.
`get_meta_data`(self)	Return data information from the current object.
`get_params`(self, name[, col])	Return model fit parameters for specified feature(s).
`get_results`(self)	Return model fit parameters and goodness of fit metrics.
`get_settings`(self)	Return user defined settings of the current object.
`load`(self, file_name[, file_path, regenerate])	Load in a FOOOF formatted JSON file to the current object.
`plot`(self[, plot_peaks, plot_aperiodic, …])	Plot the power spectrum and model fit results from a FOOOF object.
`print_report_issue`([concise])	Prints instructions on how to report bugs and/or problematic fits.
`print_results`(self[, concise])	Print out model fitting results.
`print_settings`(self[, description, concise])	Print out the current settings.
`report`(self[, freqs, power_spectrum, …])	Run model fit, and display a report, which includes a plot, and printed results.
`save`(self, file_name[, file_path, append, …])	Save out data, results and/or settings from a FOOOF object into a JSON file.
`save_report`(self, file_name[, file_path, …])	Generate and save out a PDF report for a power spectrum model fit.
`set_debug_mode`(self, debug)	Set whether debug mode, wherein an error is raised if fitting is unsuccessful.

Attributes

`has_data`	Indicator for if the object contains data.
`has_model`	Indicator for if the object contains a model fit.
`n_peaks_`	How many peaks were fit in the model.

add_data(self, freqs, power_spectrum, freq_range=None)[source]¶

Add data (frequencies, and power spectrum values) to the current object.

Parameters

freqs1d array: Frequency values for the power spectrum, in linear space.
power_spectrum1d array: Power spectrum values, which must be input in linear space.
freq_rangelist of [float, float], optional: Frequency range to restrict power spectrum to. If not provided, keeps the entire range.

Notes

If called on an object with existing data and/or results they will be cleared by this method call.

add_meta_data(self, fooof_meta_data)[source]¶

Add data information into object from a FOOOFMetaData object.

Parameters

fooof_meta_dataFOOOFMetaData: A meta data object containing meta data information.

add_results(self, fooof_result)[source]¶

Add results data into object from a FOOOFResults object.

Parameters

fooof_resultFOOOFResults: A data object containing the results from fitting a FOOOF model.

add_settings(self, fooof_settings)[source]¶

Add settings into object from a FOOOFSettings object.

Parameters

fooof_settingsFOOOFSettings: A data object containing the settings for a FOOOF model.

copy(self)[source]¶: Return a copy of the current object.

fit(self, freqs=None, power_spectrum=None, freq_range=None)[source]¶

Fit the full power spectrum as a combination of periodic and aperiodic components.

Parameters

freqs1d array, optional: Frequency values for the power spectrum, in linear space.
power_spectrum1d array, optional: Power values, which must be input in linear space.
freq_rangelist of [float, float], optional: Frequency range to restrict power spectrum to. If not provided, keeps the entire range.

Raises

NoDataError: If no data is available to fit.
FitError: If model fitting fails to fit. Only raised in debug mode.

Notes

Data is optional, if data has already been added to the object.

get_meta_data(self)[source]¶

Return data information from the current object.

Returns

FOOOFMetaData: Object containing meta data from the current object.

get_params(self, name, col=None)[source]¶

Return model fit parameters for specified feature(s).

Parameters

name{‘aperiodic_params’, ‘peak_params’, ‘gaussian_params’, ‘error’, ‘r_squared’}: Name of the data field to extract.
col{‘CF’, ‘PW’, ‘BW’, ‘offset’, ‘knee’, ‘exponent’} or int, optional: Column name / index to extract from selected data, if requested. Only used for name of {‘aperiodic_params’, ‘peak_params’, ‘gaussian_params’}.

Returns

outfloat or 1d array: Requested data.

Raises

NoModelError: If there are no model fit parameters available to return.

Notes

For further description of the data you can extract, check the FOOOFResults documentation.

If there is no data on periodic features, this method will return NaN.

get_results(self)[source]¶

Return model fit parameters and goodness of fit metrics.

Returns

FOOOFResults: Object containing the model fit results from the current object.

get_settings(self)[source]¶

Return user defined settings of the current object.

Returns

FOOOFSettings: Object containing the settings from the current object.

has_data¶: Indicator for if the object contains data.

has_model¶

Indicator for if the object contains a model fit.

Notes

This check uses the aperiodic params, which are:

nan if no model has been fit
necessarily defined, as floats, if model has been fit

load(self, file_name, file_path=None, regenerate=True)[source]¶

Load in a FOOOF formatted JSON file to the current object.

Parameters

file_namestr or FileObject: File to load data from.
file_pathstr or None, optional: Path to directory to load from. If None, loads from current directory.
regeneratebool, optional, default: True: Whether to regenerate the model fit from the loaded data, if data is available.

n_peaks_¶: How many peaks were fit in the model.

plot(self, plot_peaks=None, plot_aperiodic=True, plt_log=False, add_legend=True, save_fig=False, file_name=None, file_path=None, ax=None, plot_style=<function style_spectrum_plot at 0x7fd2f7300710>, data_kwargs=None, model_kwargs=None, aperiodic_kwargs=None, peak_kwargs=None)[source]¶

Plot the power spectrum and model fit results from a FOOOF object.

Parameters

plot_peaksNone or {‘shade’, ‘dot’, ‘outline’, ‘line’}, optional: What kind of approach to take to plot peaks. If None, peaks are not specifically plotted. Can also be a combination of approaches, separated by ‘-‘, for example: ‘shade-line’.
plot_aperiodicboolean, optional, default: True: Whether to plot the aperiodic component of the model fit.
plt_logboolean, optional, default: False: Whether to plot the frequency values in log10 spacing.
add_legendboolean, optional, default: False: Whether to add a legend describing the plot components.
save_figbool, optional, default: False: Whether to save out a copy of the plot.
file_namestr, optional: Name to give the saved out file.
file_pathstr, optional: Path to directory to save to. If None, saves to current directory.
axmatplotlib.Axes, optional: Figure axes upon which to plot.
plot_stylecallable, optional, default: style_spectrum_plot: A function to call to apply styling & aesthetics to the plot.
data_kwargs, model_kwargs, aperiodic_kwargs, peak_kwargsNone or dict, optional: Keyword arguments to pass into the plot call for each plot element.

Notes

Since FOOOF objects store power values in log spacing, the y-axis (power) is plotted in log spacing by default.

static print_report_issue(concise=False)[source]¶

Prints instructions on how to report bugs and/or problematic fits.

Parameters

concisebool, optional, default: False: Whether to print the report in a concise mode, or not.

print_results(self, concise=False)[source]¶

Print out model fitting results.

Parameters

concisebool, optional, default: False: Whether to print the report in a concise mode, or not.

print_settings(self, description=False, concise=False)[source]¶

Print out the current settings.

Parameters

descriptionbool, optional, default: False: Whether to print out a description with current settings.
concisebool, optional, default: False: Whether to print the report in a concise mode, or not.

report(self, freqs=None, power_spectrum=None, freq_range=None, plt_log=False)[source]¶

Run model fit, and display a report, which includes a plot, and printed results.

Parameters

freqs1d array, optional: Frequency values for the power spectrum.
power_spectrum1d array, optional: Power values, which must be input in linear space.
freq_rangelist of [float, float], optional: Desired frequency range to fit the model to. If not provided, fits across the entire given range.
plt_logbool, optional, default: False: Whether or not to plot the frequency axis in log space.

Notes

Data is optional, if data has already been added to the object.

save(self, file_name, file_path=None, append=False, save_results=False, save_settings=False, save_data=False)[source]¶

Save out data, results and/or settings from a FOOOF object into a JSON file.

Parameters

file_namestr or FileObject: File to save data to.
file_pathstr, optional: Path to directory to save to. If None, saves to current directory.
appendbool, optional, default: False: Whether to append to an existing file, if available. This option is only valid (and only used) if ‘file_name’ is a str.
save_resultsbool, optional: Whether to save out FOOOF model fit results.
save_settingsbool, optional: Whether to save out FOOOF settings.
save_databool, optional: Whether to save out input data.

Raises

ValueError: If the save file is not understood.

save_report(self, file_name, file_path=None, plt_log=False)[source]¶

Generate and save out a PDF report for a power spectrum model fit.

Parameters

file_namestr: Name to give the saved out file.
file_pathstr, optional: Path to directory to save to. If None, saves to current directory.
plt_logbool, optional, default: False: Whether or not to plot the frequency axis in log space.