cleanup

infocalc.py

@@ -97,6 +97,7 @@ if args.mode == "DATA":
     data = np.array(pd.read_csv(inpath)[args.column])
     mean = data.mean()
     stddev = data.std(ddof=1)
+    # Delta Degrees of Freedom: ddof=0 for population, ddof=1 for sample std dev
     samplesize = len(data)
 elif args.mode == "SIM":
     mean = args.mean
@@ -104,9 +105,6 @@ elif args.mode == "SIM":
     samplesize = args.samplesize
 df = samplesize - 1 
     
-# time to deal with the bounds
-    
-# Delta Degrees of Freedom: ddof=0 for population, ddof=1 for sample std dev
 prob = 0
 if args.upperbound and args.lowerbound:
     prob = t.cdf(df,args.upperbound, mean, stddev) - t.cdf(df,args.lowerbound, mean, stddev)
@@ -116,7 +114,6 @@ elif args.lowerbound:
     prob = 1 - t.cdf(df,args.lowerbound, mean, stddev)
 else:
     prob = 1# no bounds set!
-    ##TODO!!!!
 #print("probability: %f", prob)
 info = -np.emath.log2(prob)
 #print("information content: %f bits", info)