Black.

monitoring/yearly.py

@@ -49,15 +49,19 @@ def variety(df: pd.DataFrame) -> tuple[dict[int, dict[str, float]], dict[int, fl
     entropies = {year: utils.kl(probabilities[year].values()) for year in years}
     return (probabilities, entropies)
 
+
 class Radar(object):
     def __init__(self, figure, title, labels, rect=None):
         if rect is None:
             rect = [0.05, 0.05, 0.9, 0.9]
 
         self.n = len(title)
-        self.angles = np.arange(0, 360, 360.0/self.n)
+        self.angles = np.arange(0, 360, 360.0 / self.n)
 
-        self.axes = [figure.add_axes(rect, projection='polar', label='axes%d' % i) for i in range(self.n)]
+        self.axes = [
+            figure.add_axes(rect, projection="polar", label="axes%d" % i)
+            for i in range(self.n)
+        ]
 
         self.ax = self.axes[0]
         self.ax.set_thetagrids(self.angles, labels=title, fontsize=14)
@@ -69,16 +73,15 @@ def __init__(self, figure, title, labels, rect=None):
             ax.xaxis.set_visible(False)
 
         for ax, angle, label in zip(self.axes, self.angles, labels):
-            ax.set_rgrids([0.05, .25, .5, .75, 1], angle=angle, labels=label)
-            ax.spines['polar'].set_visible(False)
+            ax.set_rgrids([0.05, 0.25, 0.5, 0.75, 1], angle=angle, labels=label)
+            ax.spines["polar"].set_visible(False)
             ax.set_ylim(0, 1)
 
     def plot(self, values, *args, **kw):
         angle = np.deg2rad(np.r_[self.angles, self.angles[0]])
         values = np.r_[values, values[0]]
         self.ax.plot(angle, values, *args, **kw)
 
-
     def fill(self, values, *args, **kw):
         angle = np.deg2rad(np.r_[self.angles, self.angles[0]])
         values = np.r_[values, values[0]]