plot_model

sherpa.astro.ui.plot_model(id=None, **kwargs)

Plot the model for a data set.

This function plots the model for a data set, which includes any instrument response (e.g. a convolution created by set_psf).

Parameters:

• id (int or str, optional) – The data set that provides the data. If not given then the default identifier is used, as returned by get_default_id.
• replot (bool, optional) – Set to True to use the values calculated by the last call to plot_model. The default is False.
• overplot (bool, optional) – If True then add the data to an exsiting plot, otherwise create a new plot. The default is False.

See also

get_model_plot()

Return the data used by plot_model.

get_model_plot_prefs()

Return the preferences for plot_model.

get_default_id()

Return the default data set identifier.

plot()

Create one or more plot types.

plot_model_component()

Plot a component of the model for a data set.

plot_source()

Plot the source expression for a data set.

set_xlinear()

New plots will display a linear X axis.

set_xlog()

New plots will display a logarithmically-scaled X axis.

set_ylinear()

New plots will display a linear Y axis.

set_ylog()

New plots will display a logarithmically-scaled Y axis.

Examples

Plot the convolved source model for the default data set:

>>> plot_model()

Overplot the model for data set 2 on data set 1:

>>> plot_model(1)
>>> plot_model(2, overplot=True)

Create the equivalent of plot_fit('jet'):

>>> plot_data('jet')
>>> plot_model('jet', overplot=True)