arviz_plots.plot_parallel

arviz_plots.plot_parallel(dt, var_names=None, filter_vars=None, group='posterior', coords=None, sample_dims=None, norm_method=None, label_type='flat', plot_collection=None, backend=None, labeller=None, aes_by_visuals=None, visuals=None, **pc_kwargs)

Plot parallel coordinates plot showing posterior points with and without divergences.

Parameters:

dtxarray.DataTree

Input data

var_names: str or list of str, optional

One or more variables to be plotted. Prefix the variables by ~ when you want to exclude them from the plot.

filter_vars: {None, “like”, “regex”}, default None

If None (default), interpret var_names as the real variables names. If “like”, interpret var_names as substrings of the real variables names. If “regex”, interpret var_names as regular expressions on the real variables names.

groupstr, default “posterior”

Group to use for plotting. Defaults to “posterior”.

coordsmapping, optional

Coordinates to use for plotting.

sample_dimsiterable, optional

Dimensions to reduce unless mapped to an aesthetic. Defaults to rcParams["data.sample_dims"]

norm_method{None, “normal”, “minmax”, “rank”}, default None

Transformation to apply to the samples before plotting.

label_type{“flat”, “vert”}, default “flat”

Indicator of which labeller method to use when generating the labels of the x axis.

plot_collectionPlotCollection, optional

backend{“matplotlib”, “bokeh”, “plotly”, “none”}, optional

Plotting backend to use. Defaults to rcParams["plot.backend"]

labellerlabeller, optional

aes_by_visualsmapping, optional

Mapping of visuals to aesthetics that should use their mapping in plot_collection when plotted. Valid keys are the same as for visuals. By default, there is a mapping from the value of diverging variable to color and alpha which is only active for the “line” visual.

visualsmapping of {strmapping or False}, optional

Valid keys are:

• line -> passed to multiple_lines

• xticks -> passed to set_xticks. Defaults to False.

**pc_kwargs

Passed to arviz_plots.PlotCollection.wrap

Returns:

PlotCollection

Examples

Default plot_parallel without normalization and with default label_type as “flat”.

>>> from arviz_plots import plot_parallel, style
>>> style.use("arviz-variat")
>>> from arviz_base import load_arviz_data
>>> dt = load_arviz_data('centered_eight')
>>> plot_parallel(dt)

parallel_plot with norm_method set to “normal” and label_type set to “vert” and rotation of xaxis labels set to 30 degrees.

>>> plot_parallel(
>>>     dt,
>>>     norm_method="normal",
>>>     label_type="vert",
>>>     visuals={"xticks": {"rotation": 30}},
>>> )

Plot parallel coordinates plot showing posterior points with divergences..

Parallel coordinates plot

Parallel coordinates plot