desc.plotting.plot_boozer_surface
- desc.plotting.plot_boozer_surface(eq, grid_compute=None, grid_plot=None, fill=False, ncontours=100, ax=None, return_data=False, **kwargs)[source]
Plot \(|B|\) on a surface vs the Boozer poloidal and toroidal angles.
- Parameters:
eq (Equilibrium) – Object from which to plot.
grid_compute (Grid, optional) – grid to use for computing boozer spectrum
grid_plot (Grid, optional) – grid to plot on
fill (bool, optional) – Whether the contours are filled, i.e. whether to use contourf or contour.
ncontours (int, optional) – Number of contours to plot.
ax (matplotlib AxesSubplot, optional) – Axis to plot on.
return_data (bool) – if True, return the data plotted as well as fig,ax
**kwargs (fig,ax and plotting properties) –
Specify properties of the figure, axis, and plot appearance e.g.:
plot_X(figsize=(4,6),cmap="plasma")
Valid keyword arguments are:
figsize: tuple of length 2, the size of the figure (to be passed to matplotlib) cmap: str, matplotib colormap scheme to use, passed to ax.contourf levels: int or array-like, passed to contourf title_font_size: integer, font size of the title
- Returns:
fig (matplotlib.figure.Figure) – figure being plotted to
ax (matplotlib.axes.Axes or ndarray of Axes) – axes being plotted to
plot_data (dict) – dictionary of the data plotted only returned if return_data=True plot_data keys:
”|B|”: magnetic field magntitude on surface “theta_Boozer”,”zeta_Boozer”: Boozer poloidal, toroidal angles
array of shape (num_theta, num_zeta)
Examples
from desc.plotting import plot_boozer_surface fig, ax = plot_boozer_surface(eq)