update boot plot

mlair/plotting/postprocessing_plotting.py

@@ -831,6 +831,7 @@ class PlotBootstrapSkillScore(AbstractPlotClass):
         self._labels = None
         self._x_name = "boot_var"
         self._data = self._prepare_data(data)
+        self._individual_vars = set(self._data[self._x_name].values)
         self._plot()
         self._save()
         self.plot_name += '_separated'
@@ -900,6 +901,7 @@ class PlotBootstrapSkillScore(AbstractPlotClass):
         data_second = self._select_data(df=data, variables=remaining_vars, column_name='boot_var')
 
         fig, ax = plt.subplots(nrows=1, ncols=2,
+                               figsize=(len(self._individual_vars) / 2, 10),
                                gridspec_kw={'width_ratios': [len(separate_vars),
                                                              len(remaining_vars)
                                                              ]
@@ -981,11 +983,11 @@ class PlotBootstrapSkillScore(AbstractPlotClass):
         """
 
         """
-        fig, ax = plt.subplots()
+        fig, ax = plt.subplots(figsize=(len(self._individual_vars)/2, 10))
         sns.boxplot(x=self._x_name, y="data", hue="ahead", data=self._data, ax=ax, whis=1., palette="Blues_d",
                     showmeans=True, meanprops={"markersize": 1, "markeredgecolor": "k"}, flierprops={"marker": "."})
         ax.axhline(y=0, color="grey", linewidth=.5)
-        plt.xticks(rotation=45)
+        plt.xticks(rotation=45, horizontalalignment="right")
         ax.set(ylabel=f"skill score", xlabel="", title="summary of all stations")
         handles, _ = ax.get_legend_handles_labels()
         ax.legend(handles, self._labels)