Fixed curve to show values between [0,1]

doc/guide.rst

@@ -413,18 +413,19 @@ obtained in the CMC plot above.
    from matplotlib import pyplot
 
    cmc_scores = []
-   for probe in range(10):
+   for probe in range(1000):
      positives = numpy.random.normal(1, 1, 1)
      negatives = numpy.random.normal(0, 1, 19)
      cmc_scores.append((negatives, positives))
-   for probe in range(10):
+   for probe in range(1000):
      negatives = numpy.random.normal(-1, 1, 10)
      cmc_scores.append((negatives, None))
 
    bob.measure.plot.detection_identification_curve(cmc_scores, rank=1, logx=True)
    pyplot.xlabel('False Alarm Rate')
+   pyplot.xlim([0.0001, 1])
    pyplot.ylabel('Detection & Identification Rate (%)')
-   pyplot.ylim([0,100])
+   pyplot.ylim([0,1])