Synopsis
Return the preferences for contour_model.
Syntax
get_model_contour_prefs()
Example
Change the contours for the model to be drawn in 'orange':
>>> prefs = get_model_contour_prefs() >>> prefs['color'] = 'orange' >>> contour_data() >>> contour_model(overcontour=True)
PARAMETERS
This function has no parameters
Return value
The return value from this function is:
prefs -- Changing the values of this dictionary will change any new contour plots.
Notes
The meaning of the fields depend on the chosen plot backend. A value of none (or not set) means to use the default value for that attribute, unless indicated otherwise.
| Item | Definition |
|---|---|
| alpha | The transparency value used to draw the contours, where 0 is fully transparent and 1 is fully opaque. |
| colors | The colors to draw the contours. |
| linewidths | What thickness of line to draw the contours. |
| xlog | Should the X axis be drawn with a logarithmic scale? The default is False . |
| ylog | Should the Y axis be drawn with a logarithmic scale? The default is False . |
Bugs
See the bugs pages on the Sherpa website for an up-to-date listing of known bugs.
See Also
- visualization
- contour_model, get_contour_prefs