ramjet.analysis.results_viewer.results_viewer¶

Classes¶

tess_data_interface¶

tess_toi_data_interface¶

class Target(lightcurve_path)[source]¶

__init__(self, lightcurve_path)[source]¶

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

load_lightcurve(self)[source]¶

check_for_known_exofop_dispositions(self)[source]¶

class ResultsViewer(bokeh_document, results_path, starting_index: int = 0)[source]¶

__init__(self, bokeh_document, results_path, starting_index: int = 0)[source]¶

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

classmethod attach_document(cls, bokeh_document, results_path, starting_index: int = 0)[source]¶

create_mcmc_fit_figures(self, run_fitting_button)[source]¶

update_parameters_table(self, trace_summary)[source]¶

create_folded_figured_based_on_clicks_in_unfolded_figure(self, unfolded_figure, data_source)[source]¶

static fold_times(times: np.ndarray, epoch: float, period: float)[source]¶

Folds an array of times based on an epoch and period.

Parameters:	times – The times to fold. epoch – The epoch of the fold. period – The period of the fold.
Returns:	The folded times.

static round_series_to_significant_figures(series: pd.Series, significant_figures: int)[source]¶

Rounds a series to a given number of significant figures.

Parameters:	series – The series to round. significant_figures – The number of signficant figures to round to.
Returns:	The rounded series.

static calculate_epoch_and_period_from_approximate_event_times(event_times: List[float])[source]¶

Calculates the period and epoch of a signal given selected event times. The epoch is set to the first event chronologically.

Parameters:	event_times – The times of the events.
Returns:	The epoch and period.

create_unfolded_lightcurve_figure(self, data_source)[source]¶

load_surrounding_lightcurves(self)[source]¶

display_current_target(self)[source]¶

static create_flux_comparison_lightcurve_figure()[source]¶

static plot_folding_colored_lightcurve_source(figure: Figure, data_source: ColumnDataSource, time_column_name: str = 'Time (BTJD)', flux_column_name: str = 'Normalized PDCSAP flux', color_value_column_name: str = 'Time (days)')[source]¶

Plots the lightcurve data source on the passed figure.

Parameters:	figure – The figure to plot to. data_source – The data source containing the lightcurve data. time_column_name – The name of the time column whose values will be used on the x axis. flux_column_name – The name of the flux column whose values will be used on the y axis. color_value_column_name – The name of the column whose values will be used to determine data point color.

create_target_switching_buttons(self)[source]¶

create_add_to_negatives_button(self)[source]¶