threeML.io.plotting.model_plot module

class threeML.io.plotting.model_plot.SpectralContourPlot(n_total, xscale='log', yscale='log', show_legend=True, plot_kwargs=None, contour_kwargs=None, legend_kwargs=None, emin=None, emax=None, subplot=None)[source]

Bases: object

add_dimensionless_model(energy_range, best_fit, color, upper_error=None, lower_error=None, contour_color=None, label='model')[source]
add_model(energy_range, best_fit, color, upper_error=None, lower_error=None, contour_color=None, label='model')[source]
finalize(_defaults)[source]
threeML.io.plotting.model_plot.plot_point_source_spectra(*analysis_results, **kwargs)[source]
threeML.io.plotting.model_plot.plot_spectra(*analysis_results, **kwargs) → Figure[source]

Plotting routine for fitted point source spectra.

Parameters:

  • analysis_results – fitted JointLikelihood or BayesianAnalysis objects

  • sources_to_use – (optional) list of PointSource string names to plot from the analysis

  • energy_unit – (optional) astropy energy unit in string form (can also be frequency)

  • flux_unit – (optional) astropy flux unit in string form

  • confidence_level – (optional) confidence level to use (default: 0.68)

  • ene_min – (optional) minimum energy to plot

  • ene_max – (optional) maximum energy to plot

  • num_ene – (optional) number of energies to plot

  • use_components – (optional) True or False to plot the spectral components

  • components_to_use – (optional) list of string names of the components to plot: including ‘total’ will also plot the total spectrum

  • sum_sources – (optional) some all the MLE and Bayesian sources

  • show_contours – (optional) True or False to plot the contour region

  • plot_style_kwargs – (optional) dictionary of MPL plot styling for the best fit curve

  • contour_style_kwargs – (optional) dictionary of MPL plot styling for the contour regions

  • fit_cmap – MPL color map to iterate over for plotting multiple analyses

  • contour_cmap – MPL color map to iterate over for plotting contours for multiple analyses

  • subplot – subplot to use

  • xscale – ‘log’ or ‘linear’

  • yscale – ‘log’ or ‘linear’

  • include_extended – True or False, also plot extended source spectra.

Returns: