plot_source
- sherpa.astro.ui.plot_source(id: IdType | None = None, lo=None, hi=None, replot=False, overplot=False, clearwindow=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).- Parameters:
id (int, 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
.lo (number, optional) – The low value to plot (only used for PHA data sets).
hi (number, optional) – The high value to plot (only use for PHA data sets).
replot (bool, optional) – Set to
True
to use the values calculated by the last call toplot_source
. The default isFalse
.overplot (bool, optional) – If
True
then add the data to an existing plot, otherwise create a new plot. The default isFalse
.clearwindow (bool, 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)
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()