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small fixes
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examples/manage/plot_manipulating_models.py

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###################################################################################################
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# Check information on null models (dropped models)
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print('Number of Null models : \t', fg.results.n_null)
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print('Indices of Null models : \t', fg.results.null_inds)
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print('Number of Null models :\t', fg.results.n_null)
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print('Indices of Null models :\t', fg.results.null_inds)
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# Despite the dropped model, the total number of models in the object is the same
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# This means that the indices are still the same as before dropping models
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print('Number of model fits: ', len(fg.results))
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print('Number of model fits :\t', len(fg.results))
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###################################################################################################
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tutorials/plot_07-ModelObject.py

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"""
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07: Exploring the model object
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07: Exploring the Model Object
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==============================
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Further exploring the SpectralModel object, including algorithm settings and available methods.

tutorials/plot_08-GroupFits.py

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"""
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08: Fitting group of spectra
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============================
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08: Fitting Groups of Spectra
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=============================
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Using the group model object to run fit models across multiple power spectra.
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"""

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