Resolve "release v2.3.0"

Closes #440 (closed)

mlair/plotting/postprocessing_plotting.py

@@ -1439,6 +1439,18 @@ class PlotSeasonalMSEStack(AbstractPlotClass):
         sampling_letter = {"hourly": "H", "daily": "d"}.get(sampling[pos], "")
         return sampling, sampling_letter
 
+    @staticmethod
+    def _set_bar_label(ax):
+        opts = {}
+        sum = {}
+        for c in ax.containers:
+            labels = [v for v in c.datavalues]
+            opts[c] = labels
+            sum = {i: sum.get(i, 0) + l for (i, l) in enumerate(labels)}
+        for c, labels in opts.items():
+            _l = [f"{round(100 * labels[i] / sum[i])}%" for i in range(len(labels))]
+            ax.bar_label(c, labels=_l, label_type='center')
+
     def _plot(self, dim, split_ahead=True, sampling="daily", orientation="vertical"):
         _, sampling_letter = self._get_target_sampling(sampling, 1)
         if split_ahead is True:
@@ -1449,36 +1461,40 @@ class PlotSeasonalMSEStack(AbstractPlotClass):
                 data.to_pandas().T.plot.bar(ax=ax, stacked=True, cmap="Dark2", legend=False)
                 ax.xaxis.label.set_visible(False)
                 ax.set_ylabel(f"{self.error_measure} (in {self.error_unit})")
+                self._set_bar_label(ax)
             else:
                 m = data.to_pandas().T.shape[0]
                 fig, ax = plt.subplots(1, 1, figsize=(6, m))
                 data.to_pandas().T.plot.barh(ax=ax, stacked=True, cmap="Dark2", legend=False)
                 ax.yaxis.label.set_visible(False)
                 ax.set_xlabel(f"{self.error_measure} (in {self.error_unit})")
+                self._set_bar_label(ax)
             fig.legend(*ax.get_legend_handles_labels(), loc="upper center", ncol=4)
             fig.tight_layout(rect=[0, 0, 1, 0.9])
         else:
             self.plot_name = self.plot_name_orig + "_" + orientation
             data = self._data
             n = len(data.coords[dim])
+            m = data.max(self.season_dim).shape
             if orientation == "vertical":
-                fig, ax = plt.subplots(1, n, sharey=True)
+                fig, ax = plt.subplots(1, n, sharey=True, figsize=(np.prod(m) / 0.8, 5))
                 for i, sel in enumerate(data.coords[dim].values):
                     data.sel({dim: sel}).to_pandas().T.plot.bar(ax=ax[i], stacked=True, cmap="Dark2", legend=False)
                     label = str(sel) + sampling_letter
                     ax[i].set_title(label)
                     ax[i].xaxis.label.set_visible(False)
+                    self._set_bar_label(ax[i])
                 ax[0].set_ylabel(f"{self.error_measure} (in {self.error_unit})")
                 fig.legend(*ax[0].get_legend_handles_labels(), loc="upper center", ncol=4)
                 fig.tight_layout(rect=[0, 0, 1, 0.9])
             else:
-                m = data.max(self.season_dim).shape
                 fig, ax = plt.subplots(n, 1, sharex=True, figsize=(6, np.prod(m) * 0.6))
                 for i, sel in enumerate(data.coords[dim].values):
                     data.sel({dim: sel}).to_pandas().T.plot.barh(ax=ax[i], stacked=True, cmap="Dark2", legend=False)
                     label = str(sel) + sampling_letter
                     ax[i].set_title(label)
                     ax[i].yaxis.label.set_visible(False)
+                    self._set_bar_label(ax[i])
                 ax[-1].set_xlabel(f"{self.error_measure} (in {self.error_unit})")
                 fig.legend(*ax[0].get_legend_handles_labels(), loc="upper center", ncol=4)
                 fig.tight_layout(rect=[0, 0, 1, 0.95])