pygsti.report.section.goodness

Goodness sections

Module Contents

Classes

GoodnessSection	Abstract base class for report sections.
GoodnessColorBoxPlotSection	Abstract base class for report sections.
GoodnessScalingSection	Abstract base class for report sections.
GoodnessUnmodeledSection	Abstract base class for report sections.

class pygsti.report.section.goodness.GoodnessSection(**kwargs)

Bases: pygsti.report.section.Section

Abstract base class for report sections.

Derived classes encapsulate the structure of data within the respective section of the report, and provide methods for rendering the section to various output formats.

Parameters

**kwargs

Computation of specific section elements can be configured at runtime by passing the name of a figure as a keyword argument set to False.

final_model_fit_colorscatter_plot(switchboard=None, linlog_percentile=5, comm=None, bgcolor='white', **kwargs)

final_model_fit_progress_table(switchboard=None, max_lengths=None, comm=None, **kwargs)

final_model_fit_progress_bar_plot(switchboard=None, max_lengths=None, comm=None, **kwargs)

class pygsti.report.section.goodness.GoodnessColorBoxPlotSection(**kwargs)

Bases: pygsti.report.section.Section

Abstract base class for report sections.

Derived classes encapsulate the structure of data within the respective section of the report, and provide methods for rendering the section to various output formats.

Parameters

**kwargs

Computation of specific section elements can be configured at runtime by passing the name of a figure as a keyword argument set to False.

final_model_fit_colorbox_plot(switchboard=None, linlog_percentile=5, brevity=0, comm=None, bgcolor='white', **kwargs)

final_model_tvd_colorbox_plot(switchboard=None, brevity=0, comm=None, bgcolor='white', **kwargs)

maxlength_switchboard1(switchboard=None, switchbd_maxlengths=None, **kwargs)

class pygsti.report.section.goodness.GoodnessScalingSection(**kwargs)

Bases: pygsti.report.section.Section

Abstract base class for report sections.

Derived classes encapsulate the structure of data within the respective section of the report, and provide methods for rendering the section to various output formats.

Parameters

**kwargs

Computation of specific section elements can be configured at runtime by passing the name of a figure as a keyword argument set to False.

final_model_fit_colorscatter_plot_scl(switchboard=None, linlog_percentile=5, comm=None, bgcolor='white', **kwargs)

final_model_fit_colorbox_plot_scl(switchboard=None, linlog_percentile=5, brevity=0, comm=None, bgcolor='white', **kwargs)

final_model_fit_histogram_scl(switchboard=None, linlog_percentile=5, comm=None, bgcolor='white', **kwargs)

final_model_fit_progress_table_scl(switchboard=None, max_lengths=None, comm=None, **kwargs)

final_model_fit_progress_bar_plot_scl(switchboard=None, max_lengths=None, comm=None, **kwargs)

data_scaling_colorbox_plot(switchboard=None, comm=None, bgcolor='white', **kwargs)

class pygsti.report.section.goodness.GoodnessUnmodeledSection(**kwargs)

Bases: pygsti.report.section.Section

Abstract base class for report sections.

Derived classes encapsulate the structure of data within the respective section of the report, and provide methods for rendering the section to various output formats.

Parameters

**kwargs

Computation of specific section elements can be configured at runtime by passing the name of a figure as a keyword argument set to False.

unmodeled_error_budget_table(switchboard=None, **kwargs)

unmodeled_error_ddist_bar_plot(switchboard=None, **kwargs)

final_model_fit_progress_bar_plot_ume(switchboard=None, max_lengths=None, comm=None, **kwargs)

final_model_fit_progress_table_ume(switchboard=None, max_lengths=None, comm=None, **kwargs)

final_model_fit_histogram_ume(switchboard=None, linlog_percentile=5, comm=None, bgcolor='white', **kwargs)

final_model_fit_colorbox_plot_ume(switchboard=None, linlog_percentile=5, brevity=0, comm=None, bgcolor='white', **kwargs)

final_model_fit_colorscatter_plot_ume(switchboard=None, linlog_percentile=5, comm=None, bgcolor='white', **kwargs)