.. currentmodule:: arviz rcParams -------- .. autosummary:: :toctree: generated/ :template: class_no_members.rst rc_context 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``. .. list-table:: :header-rows: 1 :widths: 25 20 55 * - 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``.