PlasmaCalcs.plotting.contours.XarrayContourPlotElement

class PlasmaCalcs.plotting.contours.XarrayContourPlotElement(array, *, ax=None, **kw_super)

Bases: MoviePlotElement

plot contours of 2D data.

array: xarray.DataArray, probably ndim=2.

the data to be plotted.

add_colorbar: UNSET or bool (default: UNSET)

if provided, default for add_colorbar when making xarray plots.

colorbar_linewidth: UNSET, None, int, list-like, or 2-tuple of None/int. (default: UNSET)

linewidth for lines in contour colorbar.

UNSET –> use DEFAULTS.PLOT.COLORBAR_LINEWIDTH (default: (4, None)).

None –> use same width as contour lines.

int or list-like –> use this as the linewidth

(as per matplotlib.collections.LineCollection.set(linewidth=…))

tuple –> defines (min, max) linewidths; use None for no bound.

E.g. (4, None) says “for thinner lines use 4; others same as contour lines”.

colorbar_linestyle: UNSET, None, or str (default: UNSET)

linestyle for lines in contour colorbar.

UNSET –> use DEFAULTS.PLOT.COLORBAR_LINESTYLE (default: None).

None –> use same style as contour lines.

colorbar_lines_set: UNSET, or dict (default: UNSET)

any additional attrs to set for contour colorbar lines,

via cbar.ax.get_children()[1].set(…)

label: UNSET or str (default: UNSET)

label for this plot element, to be included in a legend.

For xarrays, will label.format(**xarray_nondim_coords(array)).

UNSET –> no label.

legend_handle_kw: UNSET or dict (default: UNSET)

any additional kwargs to use when creating legend handles.

To view or adjust plot settings in self, see self.plot_settings, or help(self.plot_settings).

__init__(array, *, ax=None, **kw_super)

Methods

__init__(array, *[, ax])
colorbar(*[, colorbar_linewidth, ...])
init_contour()
legend_handle([label])
update_data(data)

Attributes

array
ax
contour
fig
handle

property array

array for plot. Internally, stored at self.data[‘array’]

property ax

the axes containing this contour plot

colorbar(*, colorbar_linewidth=UNSET, colorbar_linestyle=UNSET, colorbar_lines_set=UNSET, **kw_plt_colorbar)

add a colorbar to the plot. sets self.cbar = Colorbar object, and returns it.

property contour

contour plot (instance of matplotlib.contour.QuadContourSet)

property fig

figure containing this contour plot

property handle

alias to legend_handle

init_contour()

initialize the contour plot; actually plot the data.

stores plotted object in self.contour and returns self.contour.

legend_handle(label=UNSET, **kw_line_2D_set)

return a handle to be used in a legend for this plot.

Will look like the first contour line in self.contour,

but then apply any settings from kw_line_2D_set.

E.g. provide color=’black’ to make a line like the first contour, but black.

Recommend:

plt.legend(handles=[self.legend_handle(), …])

filling in the … with any other artists who have legend elements to draw.

To grab the default list of handles, you can use:

default_handles = ax.get_legend_handles_labels()[0].

where ax is the axis where objects are plotted (maybe self.ax, or plt.gca()).

Putting these together would result in something like:

plt.legend(handles=[self.legend_handle(), *default_handles], …)

If the handles aren’t long enough to visually distinguish, try handlelength=5 or more.

update_data(data)

update the plot using data[‘array’].

return the list of all updated matplotlib Artist objects.