src.statistics.statistics_snr package

Submodules

src.statistics.statistics_snr.statistics_snr_controller module

Statistics SNR controller

class src.statistics.statistics_snr.statistics_snr_controller.statisticsSnrController(all_channels_names, event_values, event_ids)

Bases: statistics.statistics_snr.statistics_snr_listener.statisticsSnrListener

cancel_button_clicked()

Close the window.

confirm_button_clicked(snr_methods, source_method, read, write, picks, stats_first_variable, stats_second_variable)

Close the window and send the information to the main controller. :param snr_methods: The methods used for computing the SNR :type snr_methods: list of str :param source_method: The method used for computing the source estimation :type source_method: str :param read: Boolean telling if the data used for the computation can be read from computer files. :type read: bool :param write: Boolean telling if the data computed must be saved into files. :type write: bool :param picks: The list of channels selected used for the computation :type picks: list of str :param stats_first_variable: The first independent variable on which the statistics must be computed (an event id) :type stats_first_variable: str :param stats_second_variable: The second independent variable on which the statistics must be computed (an event id) :type stats_second_variable: str

get_elements_selected(elements_selected, element_type)

Get the elements selected by the user in the multiple elements’ selector. :param elements_selected: Elements selected in the multiple elements’ selector. :type elements_selected: list of str :param element_type: Type of the element selected, used in case multiple element selector windows can be open in a window. Can thus distinguish the returned elements. :type element_type: str

plot_SNRs(first_SNRs, second_SNRs, t_values, SNR_methods)

Plot the SNRs :param first_SNRs: The SNRs computed over the first independent variable. :type first_SNRs: list of, list of float :param second_SNRs: The SNRs computed over the second independent variable. :type second_SNRs: list of, list of float :param t_values: T-values computed over the SNRs of the two independent variables. :type t_values: list of float :param SNR_methods: SNR methods :type SNR_methods: list of str

set_listener(listener)

Set the main listener so that the controller is able to communicate with the main controller. :param listener: main listener :type listener: mainController

src.statistics.statistics_snr.statistics_snr_listener module

Statistics SNR listener

class src.statistics.statistics_snr.statistics_snr_listener.statisticsSnrListener

Bases: abc.ABC

Listener doing the connection between the controller and the view for computing the statistics on SNR on the dataset. It retrieves the information from the view to send it to the controller.

cancel_button_clicked()

confirm_button_clicked(snr_methods, source_method, read, write, picks, stats_first_variable, stats_second_variable)

get_elements_selected(elements_selected, element_type)

src.statistics.statistics_snr.statistics_snr_view module

Statistics SNR view

class src.statistics.statistics_snr.statistics_snr_view.statisticsSnrView(all_channels_names, event_values, event_ids)

Bases: PyQt5.QtWidgets.QWidget

cancel_snr_trigger()

Send the information to the controller that the computation is cancelled.

channels_selection_trigger()

Open the multiple selector window. The user can select multiple channels.

check_element_type(elements_selected, element_type)

confirm_snr_trigger()

Retrieve the parameters and send the information to the controller.

create_first_independent_variable_check_boxes()

create_second_independent_variable_check_boxes()

get_first_independent_variable_selected()

Get the first independent variable selected by the user. :return: First independent variable selected :rtype: str

get_save_load_button_checked()

Get the values of the save and load buttons. :return: save_data: True if the data must be saved. Otherwise, False. load_data: True if the data must be loaded. Otherwise, False. :rtype: boolean, boolean

get_second_independent_variable_selected()

Get the second independent variable selected by the user. :return: Second independent variable selected :rtype: str

static plot_SNRs(first_SNRs, second_SNRs, t_values, SNR_methods)

Plot the SNRs :param first_SNRs: The SNRs computed over the first independent variable. :type first_SNRs: list of, list of float :param second_SNRs: The SNRs computed over the second independent variable. :type second_SNRs: list of, list of float :param t_values: T-values computed over the SNRs of the two independent variables. :type t_values: list of float :param SNR_methods: SNR methods :type SNR_methods: list of str

set_channels_selected(channels_selected)

Set the channels selected in the multiple selector window. :param channels_selected: Channels selected. :type channels_selected: list of str

set_listener(listener)

Set the listener to the controller. :param listener: Listener to the controller. :type listener: signalToNoiseRatioController

set_snr_methods_selected(snr_methods)

Set the SNR methods selected in the multiple selector window. :param snr_methods: SNR methods selected :type snr_methods: list of str

set_trials_selected(elements_selected, element_type)

Set the channels selected in the multiple selector window. :param elements_selected: Trials or Events selected. :type elements_selected: list of str :param element_type: Type of the element selected, used in case multiple element selector windows can be open in a window. Can thus distinguish the returned elements. :type element_type: str

snr_selection_trigger()

Open the multiple selector window. The user can select a multiple pipelines used for the classification.

trial_selection_events_trigger()

Open the multiple selector window. The user can select the events he wants the source estimation to be computed on.

trial_selection_indexes_trigger()

Open the multiple selector window. The user can select the trials indexes he wants the source estimation to be computed on.

Module contents