Fix credible interval percentage in plot loo pit legend (#1745)

* Fix percentage in loo pit legend * Updated CHANGELOG
arviz-devs · Jul 26, 2021 · 56aab58 · 56aab58
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diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -41,6 +41,7 @@
 * Fixed plot_kde to take labels with kwargs. ([1710](https://github.com/arviz-devs/arviz/pull/1710))
 * Fixed xarray related tests. ([1726](https://github.com/arviz-devs/arviz/pull/1726))
 * Fix Bokeh deprecation warnings ([1657](https://github.com/arviz-devs/arviz/pull/1657))
+* Fix credible inteval percentage in legend in `plot_loo_pit` ([1745](https://github.com/arviz-devs/arviz/pull/1745))
 
 ### Deprecation
 * Deprecated `index_origin` and `order` arguments in `az.summary` ([1201](https://github.com/arviz-devs/arviz/pull/1201))

diff --git a/arviz/plots/backends/bokeh/loopitplot.py b/arviz/plots/backends/bokeh/loopitplot.py
@@ -103,7 +103,9 @@ def plot_loo_pit(
             fill_kwargs.setdefault(
                 "step", "mid" if plot_kwargs["drawstyle"] == "steps-mid" else None
             )
-            fill_kwargs.setdefault("legend_label", "{:.3g}% credible interval".format(hdi_prob))
+            fill_kwargs.setdefault(
+                "legend_label", "{:.3g}% credible interval".format(hdi_prob * 100)
+            )
     elif use_hdi:
         if hdi_kwargs is None:
             hdi_kwargs = {}

diff --git a/arviz/plots/backends/matplotlib/loopitplot.py b/arviz/plots/backends/matplotlib/loopitplot.py
@@ -99,7 +99,7 @@ def plot_loo_pit(
             fill_kwargs.setdefault(
                 "step", "mid" if plot_kwargs["drawstyle"] == "steps-mid" else None
             )
-            fill_kwargs.setdefault("label", "{:.3g}% credible interval".format(hdi_prob))
+            fill_kwargs.setdefault("label", "{:.3g}% credible interval".format(hdi_prob * 100))
     elif use_hdi:
         if hdi_kwargs is None:
             hdi_kwargs = {}
@@ -137,7 +137,7 @@ def plot_loo_pit(
     ax.tick_params(labelsize=xt_labelsize)
     if legend:
         if not (use_hdi or (ecdf and ecdf_fill)):
-            label = "{:.3g}% credible interval".format(hdi_prob) if ecdf else "Uniform"
+            label = "{:.3g}% credible interval".format(hdi_prob * 100) if ecdf else "Uniform"
             ax.plot([], label=label, **plot_unif_kwargs)
         ax.legend()