add option to display rank plots instead of trace

CHANGELOG.md

@@ -3,12 +3,12 @@
 ## v0.x.x Unreleased
 
 ### New features
-* Integrate jointplot into pairplot, add point-estimate and overlay of plot kinds #1079
 * Add out-of-sample groups (`predictions` and `predictions_constant_data`) and `constant_data` group to pyro translation #1090
 * Add `num_chains` and `pred_dims` arguments to io_pyro #1090
 * Integrate jointplot into pairplot, add point-estimate and overlay of plot kinds (#1079)
 * Allow xarray.Dataarray input for plots.(#1120)
 * Skip test for optional/extra dependencies when not installed (#1113)
+* Add option to display rank plots instead of trace (#1134)
 ### Maintenance and fixes
 * Fixed behaviour of `credible_interval=None` in `plot_posterior` (#1115)
 * Fixed hist kind of `plot_dist` with multidimensional input (#1115)

arviz/plots/backends/bokeh/traceplot.py

@@ -11,6 +11,7 @@
 from . import backend_kwarg_defaults
 from .. import show_layout
 from ...distplot import plot_dist
+from ...rankplot import plot_rank
 from ...plot_utils import xarray_var_iter, make_label, _scale_fig_size
 from ....rcparams import rcParams
 
@@ -19,6 +20,7 @@ def plot_trace(
  data,
  var_names,
  divergences,
+ kind,
  figsize,
  rug,
  lines,
@@ -30,6 +32,7 @@ def plot_trace(
  rug_kwargs: [Dict],
  hist_kwargs: [Dict],
  trace_kwargs: [Dict],
+ rank_kwargs: [Dict],
  plotters,
  divergence_data,
  axes,
@@ -68,6 +71,9 @@ def plot_trace(
  trace_kwargs.setdefault("line_width", linewidth)
  plot_kwargs.setdefault("line_width", linewidth)
 
+ if rank_kwargs is None:
+ rank_kwargs = {}
+
  if axes is None:
  axes = []
  for i in range(len(plotters)):
@@ -154,12 +160,14 @@ def plot_trace(
  chain_prop=chain_prop,
  combined=combined,
  rug=rug,
+ kind=kind,
  legend=legend,
  trace_kwargs=trace_kwargs,
  hist_kwargs=hist_kwargs,
  plot_kwargs=plot_kwargs,
  fill_kwargs=fill_kwargs,
  rug_kwargs=rug_kwargs,
+ rank_kwargs=rank_kwargs,
  )
  else:
  for y_name in cds_var_groups[var_name]:
@@ -174,12 +182,14 @@ def plot_trace(
  chain_prop=chain_prop,
  combined=combined,
  rug=rug,
+ kind=kind,
  legend=legend,
  trace_kwargs=trace_kwargs,
  hist_kwargs=hist_kwargs,
  plot_kwargs=plot_kwargs,
  fill_kwargs=fill_kwargs,
  rug_kwargs=rug_kwargs,
+ rank_kwargs=rank_kwargs,
  )
 
  for col in (0, 1):
@@ -272,33 +282,36 @@ def _plot_chains_bokeh(
  chain_prop,
  combined,
  rug,
+ kind,
  legend,
  trace_kwargs,
  hist_kwargs,
  plot_kwargs,
  fill_kwargs,
  rug_kwargs,
+ rank_kwargs,
 ):
  marker = trace_kwargs.pop("marker", True)
  for chain_idx, cds in data.items():
- if legend:
- trace_kwargs["legend_label"] = "chain {}".format(chain_idx)
- ax_trace.line(
- x=x_name,
- y=y_name,
- source=cds,
- **{chain_prop[0]: chain_prop[1][chain_idx]},
- **trace_kwargs,
- )
- if marker:
- ax_trace.circle(
+ if kind == "trace":
+ if legend:
+ trace_kwargs["legend_label"] = "chain {}".format(chain_idx)
+ ax_trace.line(
  x=x_name,
  y=y_name,
  source=cds,
- radius=0.30,
- alpha=0.5,
- **{chain_prop[0]: chain_prop[1][chain_idx],},
+ **{chain_prop[0]: chain_prop[1][chain_idx]},
+ **trace_kwargs,
  )
+ if marker:
+ ax_trace.circle(
+ x=x_name,
+ y=y_name,
+ source=cds,
+ radius=0.30,
+ alpha=0.5,
+ **{chain_prop[0]: chain_prop[1][chain_idx],},
+ )
  if not combined:
  rug_kwargs["cds"] = cds
  if legend:
@@ -318,6 +331,13 @@ def _plot_chains_bokeh(
  )
  plot_kwargs.pop(chain_prop[0])
 
+ if kind == "rank_bars":
+ value = np.array([item.data[y_name] for item in data.values()])
+ plot_rank(value, kind="bars", axes=ax_trace, backend="bokeh", show=False, **rank_kwargs)
+ elif kind == "rank_vlines":
+ value = np.array([item.data[y_name] for item in data.values()])
+ plot_rank(value, kind="vlines", axes=ax_trace, backend="bokeh", show=False, **rank_kwargs)
+
  if combined:
  rug_kwargs["cds"] = data
  if legend:

arviz/plots/backends/matplotlib/traceplot.py

@@ -8,13 +8,15 @@
 
 from . import backend_kwarg_defaults, backend_show
 from ...distplot import plot_dist
+from ...rankplot import plot_rank
 from ...plot_utils import _scale_fig_size, get_bins, make_label, format_coords_as_labels
 
 
 def plot_trace(
  data,
  var_names, # pylint: disable=unused-argument
  divergences,
+ kind,
  figsize,
  rug,
  lines,
@@ -27,6 +29,7 @@ def plot_trace(
  rug_kwargs,
  hist_kwargs,
  trace_kwargs,
+ rank_kwargs,
  plotters,
  divergence_data,
  axes,
@@ -47,6 +50,8 @@ def plot_trace(
  One or more variables to be plotted.
  divergences : {"bottom", "top", None, False}
  Plot location of divergences on the traceplots. Options are "bottom", "top", or False-y.
+ kind : {"trace", "rank_bar", "rank_vlines"}, optional
+ Choose between plotting sampled values per iteration and rank plots.
  figsize : figure size tuple
  If None, size is (12, variables * 2)
  rug : bool
@@ -70,6 +75,8 @@ def plot_trace(
  Extra keyword arguments passed to `arviz.plot_dist`. Only affects discrete variables.
  trace_kwargs : dict
  Extra keyword arguments passed to `plt.plot`
+ rank_kwargs : dict
+ Extra keyword arguments passed to `arviz.plot_rank`
  Returns
  -------
  axes : matplotlib axes
@@ -160,11 +167,13 @@ def plot_trace(
  combined,
  xt_labelsize,
  rug,
+ kind,
  trace_kwargs,
  hist_kwargs,
  plot_kwargs,
  fill_kwargs,
  rug_kwargs,
+ rank_kwargs,
  )
  if compact_prop:
  plot_kwargs.pop(compact_prop[0])
@@ -197,11 +206,13 @@ def plot_trace(
  combined,
  xt_labelsize,
  rug,
+ kind,
  trace_kwargs,
  hist_kwargs,
  plot_kwargs,
  fill_kwargs,
  rug_kwargs,
+ rank_kwargs,
  )
  if legend:
  handles.append(
@@ -241,18 +252,19 @@ def plot_trace(
  else:
  ylocs = [ylim[0] for ylim in ylims]
  values = value[chain, div_idxs]
- axes[idx, 1].plot(
- div_draws,
- np.zeros_like(div_idxs) + ylocs[1],
- marker="|",
- color="black",
- markeredgewidth=1.5,
- markersize=30,
- linestyle="None",
- alpha=hist_kwargs["alpha"],
- zorder=-5,
- )
- axes[idx, 1].set_ylim(*ylims[1])
+ if kind == "trace":
+ axes[idx, 1].plot(
+ div_draws,
+ np.zeros_like(div_idxs) + ylocs[1],
+ marker="|",
+ color="black",
+ markeredgewidth=1.5,
+ markersize=30,
+ linestyle="None",
+ alpha=hist_kwargs["alpha"],
+ zorder=-5,
+ )
+ axes[idx, 1].set_ylim(*ylims[1])
  axes[idx, 0].plot(
  values,
  np.zeros_like(values) + ylocs[0],
@@ -276,12 +288,18 @@ def plot_trace(
  "line-positions should be numeric, found {}".format(line_values)
  )
  axes[idx, 0].vlines(line_values, *ylims[0], colors="black", linewidth=1.5, alpha=0.75)
- axes[idx, 1].hlines(
- line_values, *xlims[1], colors="black", linewidth=1.5, alpha=trace_kwargs["alpha"]
- )
+ if kind == "trace":
+ axes[idx, 1].hlines(
+ line_values,
+ *xlims[1],
+ colors="black",
+ linewidth=1.5,
+ alpha=trace_kwargs["alpha"]
+ )
  axes[idx, 0].set_ylim(bottom=0, top=ylims[0][1])
- axes[idx, 1].set_xlim(left=data.draw.min(), right=data.draw.max())
- axes[idx, 1].set_ylim(*ylims[1])
+ if kind == "trace":
+ axes[idx, 1].set_xlim(left=data.draw.min(), right=data.draw.max())
+ axes[idx, 1].set_ylim(*ylims[1])
  if legend:
  legend_kwargs = trace_kwargs if combined else plot_kwargs
  handles = [
@@ -295,7 +313,7 @@ def plot_trace(
  [], [], label="combined", **{chain_prop[0]: chain_prop[1][-1]}, **plot_kwargs
  ),
  )
- axes[0, 1].legend(handles=handles, title="chain")
+ axes[0, 0].legend(handles=handles, title="chain")
 
  if backend_show(show):
  plt.show()
@@ -312,16 +330,19 @@ def _plot_chains_mpl(
  combined,
  xt_labelsize,
  rug,
+ kind,
  trace_kwargs,
  hist_kwargs,
  plot_kwargs,
  fill_kwargs,
  rug_kwargs,
+ rank_kwargs,
 ):
  for chain_idx, row in enumerate(value):
- axes[idx, 1].plot(
- data.draw.values, row, **{chain_prop[0]: chain_prop[1][chain_idx]}, **trace_kwargs
- )
+ if kind == "trace":
+ axes[idx, 1].plot(
+ data.draw.values, row, **{chain_prop[0]: chain_prop[1][chain_idx]}, **trace_kwargs
+ )
 
  if not combined:
  plot_kwargs[chain_prop[0]] = chain_prop[1][chain_idx]
@@ -339,6 +360,11 @@ def _plot_chains_mpl(
  )
  plot_kwargs.pop(chain_prop[0])
 
+ if kind == "rank_bars":
+ plot_rank(data=value, kind="bars", axes=axes[idx, 1], **rank_kwargs)
+ elif kind == "rank_vlines":
+ plot_rank(data=value, kind="vlines", axes=axes[idx, 1], **rank_kwargs)
+
  if combined:
  plot_kwargs[chain_prop[0]] = chain_prop[1][-1]
  plot_dist(

arviz/plots/traceplot.py

@@ -23,6 +23,7 @@ def plot_trace(
  transform: Optional[Callable] = None,
  coords: Optional[CoordSpec] = None,
  divergences: Optional[str] = "bottom",
+ kind: Optional[str] = "trace",
  figsize: Optional[Tuple[float, float]] = None,
  rug: bool = False,
  lines: Optional[List[Tuple[str, CoordSpec, Any]]] = None,
@@ -36,13 +37,14 @@ def plot_trace(
  rug_kwargs: Optional[KwargSpec] = None,
  hist_kwargs: Optional[KwargSpec] = None,
  trace_kwargs: Optional[KwargSpec] = None,
+ rank_kwargs: Optional[KwargSpec] = None,
  ax=None,
  backend: Optional[str] = None,
  backend_config: Optional[KwargSpec] = None,
  backend_kwargs: Optional[KwargSpec] = None,
  show: Optional[bool] = None,
 ):
- """Plot distribution (histogram or kernel density estimates) and sampled values.
+ """Plot distribution (histogram or kernel density estimates) and sampled values or rank plot.
 
  If `divergences` data is available in `sample_stats`, will plot the location of divergences as
  dashed vertical lines.
@@ -58,6 +60,8 @@ def plot_trace(
  Coordinates of var_names to be plotted. Passed to `Dataset.sel`
  divergences : {"bottom", "top", None}, optional
  Plot location of divergences on the traceplots.
+ kind : {"trace", "rank_bar", "rank_vlines"}, optional
+ Choose between plotting sampled values per iteration and rank plots.
  transform : callable, optional
  Function to transform data (defaults to None i.e.the identity function)
  figsize : tuple of (float, float), optional
@@ -118,6 +122,13 @@ def plot_trace(
 
  >>> az.plot_trace(data, compact=True)
 
+ Display a rank plot instead of trace
+
+ .. plot::
+ :context: close-figs
+
+ >>> az.plot_trace(data, var_names=["mu", "tau"], kind="rank_bars")
+
  Combine all chains into one distribution
 
  .. plot::
@@ -135,6 +146,9 @@ def plot_trace(
  >>> az.plot_trace(data, var_names=('theta_t', 'theta'), coords=coords, lines=lines)
 
  """
+ if kind not in {"trace", "rank_vlines", "rank_bars"}:
+ raise ValueError("The value of kind must be either trace, rank_vlines or rank_bars.")
+
  if divergences:
  try:
  divergence_data = convert_to_dataset(data, group="sample_stats").diverging
@@ -235,6 +249,8 @@ def plot_trace(
  fill_kwargs = {}
  if rug_kwargs is None:
  rug_kwargs = {}
+ if rank_kwargs is None:
+ rank_kwargs = {}
 
  # TODO: Check if this can be further simplified
  trace_plot_args = dict(
@@ -243,6 +259,7 @@ def plot_trace(
  var_names=var_names,
  # coords = coords,
  divergences=divergences,
+ kind=kind,
  figsize=figsize,
  rug=rug,
  lines=lines,
@@ -251,6 +268,7 @@ def plot_trace(
  rug_kwargs=rug_kwargs,
  hist_kwargs=hist_kwargs,
  trace_kwargs=trace_kwargs,
+ rank_kwargs=rank_kwargs,
  compact_prop=compact_prop,
  combined=combined,
  chain_prop=chain_prop,