plot_ratio

Context: plotting

Synopsis

Plot the ratio of data to model for a data set.

Syntax

plot_ratio(id=None, replot=False, overplot=False, clearwindow=True,
**kwargs)

id - int or str, optional
replot - bool, optional
overplot - bool, optional
clearwindow - bool, optional

Description

This function displays the ratio data / model for a data set.

Examples

Example 1

Plot the ratio of data to model for the default data set:

>>> plot_ratio()

Example 2

Overplot the ratios from the 'core' data set on those from the 'jet' dataset:

>>> plot_ratio('jet')
>>> plot_ratio('core', overplot=True)

Example 3

Additional arguments can be given that are passed to the plot backend: the supported arguments match the keywords of the dictionary returned by `get_data_plot_prefs` . The following sets the X axis to a log scale and draws a solid line between the points:

>>> plot_ratio(xlog=True, linestyle='solid')

PARAMETERS

The parameters for this function are:

Parameter	Definition
id	The data set. If not given then the default identifier is used, as returned by `get_default_id` .
replot	Set to True to use the values calculated by the last call to `plot_ratio` . The default is False .
overplot	If True then add the data to an existing plot, otherwise create a new plot. The default is False .
clearwindow	Should the existing plot area be cleared before creating this new plot (e.g. for multi-panel plots)?

Notes

The additional arguments supported by `plot_ratio` are the same as the keywords of the dictionary returned by `get_data_plot_prefs` .

The ylog setting is ignored, and the Y axis is drawn using a linear scale.

Changes in CIAO

Changed in CIAO 4.12

The Y axis is now always drawn using a linear scale.

Bugs

See the bugs pages on the Sherpa website for an up-to-date listing of known bugs.