added plotting.GenericResult

plotting.py

@@ -3,6 +3,7 @@
 
 import matplotlib
 import matplotlib.pyplot as plt
+import matplotlib.font_manager as font_manager
 
 # increase the limit for the warning to pop up
 matplotlib.rcParams['figure.max_open_warning'] = 50
@@ -36,3 +37,29 @@ def plotColor(idx):
 
 def lineWidth():
     return plt.rcParams["lines.linewidth"]
+
+class GenericResult:
+    color = None
+
+    @staticmethod
+    def getBarWidth(xvec):
+        return np.concatenate((np.diff(xvec)[:1], np.diff(xvec)))
+
+    @classmethod
+    def plotPeakRange(cls, ax, peakRange, peakDistrib, fullDistrib, moments, distrPar):
+        x, y, u = peakDistrib
+        xvec, yvec, uvec = fullDistrib
+        mom, momLo, momHi = moments
+        dp, dpLo, dpHi = distrPar
+        #ax.plot(x, y, 'o', color=cls.color)
+        lbl, fmt = [], "{: <7s} {: 9.2g} ±{: 9.2g}"
+        for k in "area", "median", "var", "skew", "kurt":
+            if k == "median":
+                lbl.append(fmt.format("median:", dp[-1], max(abs(dp[-1]-dpLo[-1]), abs(dpHi[-1]-dp[-1]))))
+            else:
+                lbl.append(fmt.format(k+':', mom[k], max(abs(mom[k]-momLo[k]), abs(momHi[k]-mom[k]))))
+        ax.bar(x, y, width=cls.getBarWidth(x), color=cls.color, alpha=0.5, label="\n".join(lbl))
+        ax.fill_between(x, np.maximum(0, y-u), y+u,
+                        color='red', lw=0, alpha=0.1,
+                        label=f"uncertainties (lvl: {1/np.median(y/u):.3g})")
+        ax.legend(prop=font_manager.FontProperties(family='monospace')); ax.grid(True);