contour

Synopsis

Create a contour plot for an image data set.

Syntax

contour(*args, **kwargs)

Description

Create one or more contour plots, depending on the arguments it is set: a plot type, followed by an optional data set identifier, and this can be repeated. If no data set identifier is given for a plot type, the default identifier - as returned by `get_default_id` - is used. This is for 2D data sets.

Examples

Example 1

>>> contour('data')

Example 2

>>> contour('data', 1, 'data', 2)

Example 3

>>> contour('data', 'model')

Example 4

>>> contour('data', 'model', 'fit', 'resid')

Example 5

>>> contour('data', 'model', alpha=0.7)

Notes

The supported plot types depend on the data set type, and include the following list. There are also individual functions, with contour_ prepended to the plot type, such as `contour_data` and the `contour_fit_resid` variant:

Item	Definition
data	The data.
fit	Contours of the data and the source model.
fit_resid	Two plots: the first is the contours of the data and the source model and the second is the residuals.
kernel	The kernel.
model	The source model including any PSF convolution set by `set_psf` .
psf	The PSF.
ratio	Contours of the ratio image, formed by dividing the data by the model.
resid	Contours of the residual image, formed by subtracting the model from the data.
source	The source model (without any PSF convolution set by `set_psf` ).

The keyword arguments are sent to each plot (so care must be taken to ensure they are valid for all plots).

Changes in CIAO

Changed in CIAO 4.13

Keyword arguments, such as alpha, can be sent to each plot.

Bugs

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