threeML.config.plugin_structure module
- class threeML.config.plugin_structure.OGIP(fit_plot: threeML.config.plotting_structure.BinnedSpectrumPlot = BinnedSpectrumPlot(data_cmap=<MPLCmap.Set1: 'Set1'>, model_cmap=<MPLCmap.Set1: 'Set1'>, background_cmap=<MPLCmap.Set1: 'Set1'>, n_colors=5, step=False, show_legend=True, show_residuals=True, data_color=None, model_color=None, background_color=None, show_background=False, data_mpl_kwargs=None, model_mpl_kwargs=None, background_mpl_kwargs=None), data_plot: threeML.config.plotting_structure.DataHistPlot = DataHistPlot(counts_color='#500472', background_color='#79cbb8', warn_channels_color='#C79BFE', bad_channels_color='#FE3131', masked_channels_color='#566573'), response_cmap: threeML.config.plotting_structure.MPLCmap = <MPLCmap.viridis: 'viridis'>, response_zero_color: str = 'k')[source]
Bases:
object
- data_plot: DataHistPlot = DataHistPlot(counts_color='#500472', background_color='#79cbb8', warn_channels_color='#C79BFE', bad_channels_color='#FE3131', masked_channels_color='#566573')
- fit_plot: BinnedSpectrumPlot = BinnedSpectrumPlot(data_cmap=<MPLCmap.Set1: 'Set1'>, model_cmap=<MPLCmap.Set1: 'Set1'>, background_cmap=<MPLCmap.Set1: 'Set1'>, n_colors=5, step=False, show_legend=True, show_residuals=True, data_color=None, model_color=None, background_color=None, show_background=False, data_mpl_kwargs=None, model_mpl_kwargs=None, background_mpl_kwargs=None)
- response_zero_color: str = 'k'
- class threeML.config.plugin_structure.Photo(fit_plot: threeML.config.plotting_structure.BinnedSpectrumPlot = BinnedSpectrumPlot(data_cmap=<MPLCmap.Set1: 'Set1'>, model_cmap=<MPLCmap.Set1: 'Set1'>, background_cmap=<MPLCmap.Set1: 'Set1'>, n_colors=5, step=False, show_legend=True, show_residuals=True, data_color=None, model_color=None, background_color=None, show_background=False, data_mpl_kwargs=None, model_mpl_kwargs=None, background_mpl_kwargs=None))[source]
Bases:
object
- fit_plot: BinnedSpectrumPlot = BinnedSpectrumPlot(data_cmap=<MPLCmap.Set1: 'Set1'>, model_cmap=<MPLCmap.Set1: 'Set1'>, background_cmap=<MPLCmap.Set1: 'Set1'>, n_colors=5, step=False, show_legend=True, show_residuals=True, data_color=None, model_color=None, background_color=None, show_background=False, data_mpl_kwargs=None, model_mpl_kwargs=None, background_mpl_kwargs=None)
- class threeML.config.plugin_structure.Plugins(ogip: threeML.config.plugin_structure.OGIP = OGIP(fit_plot=BinnedSpectrumPlot(data_cmap=<MPLCmap.Set1: 'Set1'>, model_cmap=<MPLCmap.Set1: 'Set1'>, background_cmap=<MPLCmap.Set1: 'Set1'>, n_colors=5, step=False, show_legend=True, show_residuals=True, data_color=None, model_color=None, background_color=None, show_background=False, data_mpl_kwargs=None, model_mpl_kwargs=None, background_mpl_kwargs=None), data_plot=DataHistPlot(counts_color='#500472', background_color='#79cbb8', warn_channels_color='#C79BFE', bad_channels_color='#FE3131', masked_channels_color='#566573'), response_cmap=<MPLCmap.viridis: 'viridis'>, response_zero_color='k'), photo: threeML.config.plugin_structure.Photo = Photo(fit_plot=BinnedSpectrumPlot(data_cmap=<MPLCmap.Set1: 'Set1'>, model_cmap=<MPLCmap.Set1: 'Set1'>, background_cmap=<MPLCmap.Set1: 'Set1'>, n_colors=5, step=False, show_legend=True, show_residuals=True, data_color=None, model_color=None, background_color=None, show_background=False, data_mpl_kwargs=None, model_mpl_kwargs=None, background_mpl_kwargs=None)))[source]
Bases:
object
- ogip: OGIP = OGIP(fit_plot=BinnedSpectrumPlot(data_cmap=<MPLCmap.Set1: 'Set1'>, model_cmap=<MPLCmap.Set1: 'Set1'>, background_cmap=<MPLCmap.Set1: 'Set1'>, n_colors=5, step=False, show_legend=True, show_residuals=True, data_color=None, model_color=None, background_color=None, show_background=False, data_mpl_kwargs=None, model_mpl_kwargs=None, background_mpl_kwargs=None), data_plot=DataHistPlot(counts_color='#500472', background_color='#79cbb8', warn_channels_color='#C79BFE', bad_channels_color='#FE3131', masked_channels_color='#566573'), response_cmap=<MPLCmap.viridis: 'viridis'>, response_zero_color='k')
- photo: Photo = Photo(fit_plot=BinnedSpectrumPlot(data_cmap=<MPLCmap.Set1: 'Set1'>, model_cmap=<MPLCmap.Set1: 'Set1'>, background_cmap=<MPLCmap.Set1: 'Set1'>, n_colors=5, step=False, show_legend=True, show_residuals=True, data_color=None, model_color=None, background_color=None, show_background=False, data_mpl_kwargs=None, model_mpl_kwargs=None, background_mpl_kwargs=None))
- class threeML.config.plugin_structure.TimeSeries(light_curve_color: str = '#05716c', selection_color: str = '#1fbfb8', background_color: str = '#C0392B', background_selection_color: str = '#E74C3C', fit: threeML.config.plugin_structure.TimeSeriesFit = TimeSeriesFit(fit_poly=True, unbinned=False, bayes=False))[source]
Bases:
object
- background_color: str = '#C0392B'
- background_selection_color: str = '#E74C3C'
- fit: TimeSeriesFit = TimeSeriesFit(fit_poly=True, unbinned=False, bayes=False)
- light_curve_color: str = '#05716c'
- selection_color: str = '#1fbfb8'