log the stats and AD info

infocalc.py

@@ -113,9 +113,10 @@ if args.lowerbound is not None:
     prob_lower = t.cdf(df=df,x=args.lowerbound, loc=mean, scale=stddev)
 prob = prob_upper - prob_lower
 
-#print("probability: %f", prob)
 info = -np.emath.log2(prob)
-#print("information content: %f bits", info)
+logger.info(f"n={samplesize},df={df},mean={mean},stddev={stddev}")
+logger.info(f"P()={prob},I={info} bits")
+
 ## set default fontsize
 matplotlib.rcParams['font.size']=args.fontsize
 ## place text on plot:  https://matplotlib.org/3.3.4/gallery/recipes/placing_text_boxes.html
@@ -149,9 +150,7 @@ if args.lowerbound is not None:
 if args.upperbound is not None:
     plt.axvline(args.upperbound, color="red")
 
-plt.plot(x, y, 'b-', label='Normal distribution')
-#yt = scipy.stats.t.pdf(x, len(data)-1, mean, stddev)
-#plt.plot(x, yt, 'g-', label='T Distribution')
+plt.plot(x, y, 'b-', label='T distribution')
 
 # Filter for which region to fill
 coloredregion = x#default fill all