rcParams

rc_context([rc, fname])

Return a context manager for managing rc settings.

Available rcParams and Defaults

Below is the list of all ArviZ rcParams, their default values, and a short description. These values are defined in arvizrc.template.

Key	Default	Description
data.http_protocol	https	Protocol used for loading remote datasets. Must be either http or https.
data.index_origin	0	Index origin for automatically generated indices. Must be either 0 or 1.
data.load	lazy	Default data loading mode. lazy uses xarray lazy loading; eager loads everything into memory.
data.log_likelihood	true	Whether to save pointwise log-likelihood values. One of true or false.
data.metagroups	{…}	Mapping of inference groups (posterior, prior, warmup, latent, observed). See arvizrc.template for full structure.
data.save_warmup	false	Whether to store warmup iterations in InferenceData.
plot.backend	matplotlib	Plotting backend. One of matplotlib or bokeh.
plot.density_kind	kde	Density estimation method. One of kde or hist.
plot.max_subplots	40	Maximum number of subplots created automatically.
plot.point_estimate	mean	Point estimate shown on plots. Options are mean, median, mode, or None.
plot.bokeh.bounds_x_range	auto	X-axis bounds for bokeh figures. One of auto, None or a tuple of size 2.
plot.bokeh.bounds_y_range	auto	Y-axis bounds for bokeh figures. One of auto, None or a tuple of size 2.
plot.bokeh.figure.dpi	60	Dots-per-inch resolution for bokeh figures.
plot.bokeh.figure.height	500	Height of bokeh figures (in pixels).
plot.bokeh.figure.width	500	Width of bokeh figures (in pixels).
plot.bokeh.layout.order	default	Structure of subplot layouts. One of default, column, row, square, square_trimmed or patterns like 4row.
plot.bokeh.layout.sizing_mode	fixed	Responsive layout behavior. One of fixed, stretch_width, stretch_height, stretch_both, scale_width, scale_height, scale_both.
plot.bokeh.layout.toolbar_location	above	Toolbar position. One of above, below, left, right, or None to hide it.
plot.bokeh.marker	cross	Marker type used for bokeh scatter plots.
plot.bokeh.output_backend	webgl	Rendering backend. One of canvas, svg, webgl.
plot.bokeh.show	true	Whether to call bokeh.plotting.show. One of true or false.
plot.bokeh.tools	reset,pan,box_zoom,wheel_zoom,lasso_select,undo,save,hover	Default enabled bokeh tools.
plot.matplotlib.show	false	Whether to call plt.show automatically.
stats.ci_prob	0.94	Credible interval probability (e.g., similar to 95%, but ArviZ defaults to 94%).
stats.information_criterion	loo	Information criterion used for model comparison. One of loo or waic.
stats.ic_compare_method	stacking	Method for information criterion model comparison. One of stacking, bb-pseudo-bma, pseudo-bma.
stats.ic_pointwise	true	Whether to return pointwise IC computations.
stats.ic_scale	log	Scale for IC values. One of deviance, log, negative_log.