arviz_plots.plot_pair_focus

arviz_plots.plot_pair_focus(dt, focus_var, focus_var_coords=None, var_names=None, filter_vars=None, group='posterior', coords=None, sample_dims=None, plot_collection=None, backend=None, labeller=None, aes_by_visuals=None, visuals=None, **pc_kwargs)

Plot a fixed variable against other variables in the dataset.

Parameters:

dtxarray.DataTree

Input data

focus_var: str or DataArray

Name of the variable or DataArray to be plotted against all other variables.

focus_var_coordsmapping, optional

Coordinates to use for the target variable.

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"]

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 are no aesthetic mappings at all

visualsmapping of {strmapping or bool}, optional

Valid keys are:

• scatter -> passed to scatter_x

• divergence -> passed to scatter_xy. Defaults to False.

• xlabel -> labelled_x

• ylabel -> labelled_y

**pc_kwargs

Passed to arviz_plots.PlotCollection.wrap

Returns:

PlotCollection

Examples

Default plot_pair_focus

>>> from arviz_plots import plot_pair_focus, style
>>> style.use("arviz-variat")
>>> from arviz_base import load_arviz_data
>>> dt = load_arviz_data('centered_eight')
>>> plot_pair_focus(
>>>     dt,
>>>     var_names=["mu", "tau"],
>>>     focus_var="theta",
>>>     focus_var_coords={"school": "Choate"},
>>> )

Plot one variable against other variables in the dataset.

Scatterplot one variable against all others

Scatterplot one variable against all others

Plot one variable against other variables in the dataset.

Scatter plot of one variable against all other variables with divergences

Scatter plot of one variable against all other variables with divergences