plot_source

sherpa.astro.ui.plot_source(id: IdType | IdTypes | None = None, lo: float | None = None, hi: float | None = None, replot: bool = False, overplot: bool = False, clearwindow: bool = True, **kwargs) → None

Plot the source expression for a data set.

This function plots the source model for a data set. This does not include any instrument response (e.g. a convolution created by set_psf or ARF and RMF automatically created for a PHA data set).

Changed in version 4.18.0: Multiple data sets can be displayed by using a list of identifiers. Per-plot options can now be given by using a list of values.

Parameters:

idint, str, sequence of int or str, or None, optional: The data set that provides the data. If not given then the default identifier is used, as returned by get_default_id.
lonumber, optional: The low value to plot (only used for PHA data sets).
hinumber, optional: The high value to plot (only use for PHA data sets).
replotbool, optional: Set to True to use the values calculated by the last call to plot_source. The default is False.
overplotbool, optional: If True then add the data to an existing plot, otherwise create a new plot. The default is False.
clearwindowbool, optional: Should the existing plot area be cleared before creating this new plot (e.g. for multi-panel plots)?

See also

get_source_plot: Return the data used by plot_source.
get_default_id: Return the default data set identifier.
plot: Create one or more plot types.
plot_model: Plot the model for a data set.
set_analysis: Set the units used when fitting and displaying spectral data.
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 unconvolved source model for the default data set:

>>> plot_source()

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

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

Overplot the source model for data set 2 in blue on data set 1 in green:

>>> plot_source([1, 2], color=["green", "blue"])

Restrict the plot to values between 0.5 and 7 for the independent axis:

>>> plot_source(lo=0.5, hi=7)

For a PHA data set, the units on both the X and Y axes of the plot are controlled by the set_analysis command. In this case the Y axis will be in units of photons/s/cm^2 and the X axis in keV:

>>> set_analysis('energy', factor=1)
>>> plot_source()