Correctly handled NaN values in DIR plot

bob/measure/plot.py

@@ -554,8 +554,8 @@ def detection_identification_curve(cmc_scores, far_values=log_values(), rank=1,
 
   # compute detection and identification rate based on the thresholds for
   # the given rank
-  rates = [
-      100. * detection_identification_rate(cmc_scores, t, rank) for t in thresholds]
+  rates = [detection_identification_rate(cmc_scores, t, rank)
+             if not math.isnan(t) else numpy.nan for t in thresholds]
 
   # plot curve
   if logx: