xicsrt_3d__plotly¶
xicsrt.visual.xicsrt_3d__plotly
These are a set of routines for 3D visualization using the plotly library.
Example
Example code for using this module within a Jupyter notebook.
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plot
(results, **kwargs)[source]¶ Create a 3d plot using default options.
Any keywords provided will be passed to add_rays. For more control over plotting options it is recommended to perform the plotting steps manually as shown by the example in the xicsrt_3d module docstring.
Private Members¶
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_add_fluxsurf_single
(config, name, section=None, figure=None, alpha=None, flatshading=None, **kwargs)[source] Plot the 3D flux surfaces of a plasma source. This should work for any object that has a ‘car_from_flx’ method.
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_add_trace_mesh
(obj, figure=None, name=None)[source] Add a meshgrid to the 3D plot.
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_add_trace_volume
(obj, figure, name=None, opacity=0.5)[source]
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_gen_fluxsurface_mesh
(obj, s, range_m=None, range_n=None)[source] Generate points on a flux surface. The given input object must have a method ‘car_from_flx’.
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_make_plotly_color
(color, alpha=None)[source]
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_plot_ray_history
(history, lost=None, figure=None, color=None, lost_color=None, found_color=None)[source]
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_thin_mask
(mask, max_num)[source] Reduce the number of True elements in a mask array.
Ray thinning is done randomly. Used to reduce the number of rays plotted.