#### ArviZ rcParams template ####

### DATA ###

# rcParams related with data loading related functions

data.http_protocol : https # protocol for remote dataset load,

# must be either http or https

data.index_origin : 0 # index origin, must be either 0 or 1

data.load : lazy # Sets the default data loading mode.

# "lazy" stands for xarray lazy loading,

# "eager" loads all datasets into memory

data.metagroups : {

posterior_groups: posterior, posterior_predictive, sample_stats, log_likelihood

prior_groups: prior, prior_predictive, sample_stats_prior

posterior_groups_warmup: _warmup_posterior, _warmup_posterior_predictive, _warmup_sample_stats

latent_vars: posterior, prior

observed_vars: posterior_predictive, observed_data, prior_predictive

}

data.save_warmup : false # save warmup iterations, one of "true", "false"

data.pandas_float_precision : high # pandas csv_reader float_precision, one of "high", None, "round_trip"

### PLOT ###

# rcParams related with plotting functions

plot.backend : matplotlib # One of "bokeh", "matplotlib"

plot.max_subplots : 40 # Maximum number of subplots.

plot.point_estimate : mean # One of "mean", "median", "mode" or "None"

# bokeh specific rcParams

plot.bokeh.bounds_x_range : auto # either "auto", "None" or tuple of size 2

plot.bokeh.bounds_y_range : auto # either "auto", "None" or tuple of size 2

plot.bokeh.figure.dpi : 60 # dots (pixels) per inch

plot.bokeh.figure.height : 500 # num of pixels

plot.bokeh.figure.width : 500 # num of pixels

plot.bokeh.layout.order : default # Select subplot structure for bokeh. One of "default", "column", "row", "square", "square_trimmed"

# or "Ncolumn" ("Nrow") where N is an integer number of columns (rows), e.g. "4row" means 4 rows

plot.bokeh.layout.sizing_mode: fixed # Responsive layout. One of "fixed",

# "stretch_width", "stretch_height", "stretch_both",

# "scale_width", "scale_height", "scale_both"

plot.bokeh.layout.toolbar_location : above # Location for toolbar on layouts. "None" will hide the toolbar.

# One of "above", "below", "left", "right".

plot.bokeh.marker : Cross # specify the marker type used to plot

plot.bokeh.output_backend : webgl # one of "canvas", "svg", "webgl"

plot.bokeh.show : true # call bokeh.plotting.show for figure or grid of figures. One of "true", "false"

plot.bokeh.tools : reset,pan,box_zoom,wheel_zoom,lasso_select,undo,save,hover

# pan,box_zoom,wheel_zoom,box_select,lasso_select,undo,redo,reset,save,hover

# matplotlib specific rcParams

plot.matplotlib.constrained_layout : true # One of "true", "false"

plot.matplotlib.show : false # call plt.show. One of "true", "false"

### STATS ###

# rcParams related with statistical and diagnostic functions

stats.hdi_prob : 0.94 # Friendly reminder of the arbitrary nature of commonly used values like 95%

stats.information_criterion : loo # One of "loo", "waic"

stats.ic_pointwise : false # One of "true", "false"

stats.ic_scale : log # One of "deviance", "log", "negative_log"