threeML.io.plotting.post_process_data_plots module

threeML.io.plotting.post_process_data_plots.display_photometry_model_magnitudes(analysis, data=(), **kwargs)

Display the fitted model count spectrum of one or more Spectrum plugins

NOTE: all parameters passed as keyword arguments that are not in the list below, will be passed as keyword arguments to the plt.subplots() constructor. So for example, you can specify the size of the figure using figsize = (20,10)

Parameters:

• args – one or more instances of Spectrum plugin

• min_rate – (optional) rebin to keep this minimum rate in each channel (if possible). If one number is

provided, the same minimum rate is used for each dataset, otherwise a list can be provided with the minimum rate for each dataset :param data_cmap: (str) (optional) the color map used to extract automatically the colors for the data :param model_cmap: (str) (optional) the color map used to extract automatically the colors for the models :param data_colors: (optional) a tuple or list with the color for each dataset :param model_colors: (optional) a tuple or list with the color for each folded model :param show_legend: (optional) if True (default), shows a legend :param step: (optional) if True (default), show the folded model as steps, if False, the folded model is plotted with linear interpolation between each bin :return: figure instance

threeML.io.plotting.post_process_data_plots.display_spectrum_model_counts(analysis, data=(), **kwargs)

Display the fitted model count spectrum of one or more Spectrum plugins

NOTE: all parameters passed as keyword arguments that are not in the list below, will be passed as keyword arguments to the plt.subplots() constructor. So for example, you can specify the size of the figure using figsize = (20,10)

Parameters:

• args – one or more instances of Spectrum plugin

• min_rate – (optional) rebin to keep this minimum rate in each channel (if possible). If one number is

provided, the same minimum rate is used for each dataset, otherwise a list can be provided with the minimum rate for each dataset :param data_cmap: (str) (optional) the color map used to extract automatically the colors for the data :param model_cmap: (str) (optional) the color map used to extract automatically the colors for the models :param data_colors: (optional) a tuple or list with the color for each dataset :param model_colors: (optional) a tuple or list with the color for each folded model :param data_color: (optional) color for all datasets :param model_color: (optional) color for all folded models :param show_legend: (optional) if True (default), shows a legend :param step: (optional) if True (default), show the folded model as steps, if False, the folded model is plotted :param model_subplot: (optional) axe(s) to plot to for overplotting with linear interpolation between each bin :param data_per_plot: (optional) Can specify how many detectors should be plotted in one plot. If there are more detectors than this number it will split it up in several plots :param show_background: (optional) Also show the background :param source_only: (optional) Plot only source (total data - background) :param background_cmap: (str) (optional) the color map used to extract automatically the colors for the background :param background_colors: (optional) a tuple or list with the color for each background :param background_color: (optional) color for all backgrounds :return: figure instance