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Resolve "Detection & Identification Curve cannot be right on user's guide"

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@@ -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])
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