def normalize_in_range(mylist, min_value, max_value):
    normlist = []
    max_in_list = numpy.max(mylist)
    effective_range = max_value - min_value
    for d in mylist:
        normlist.append(min_value + effective_range*(d/float(max_in_list)))
    return normlist
Retrieve the item named by 'key' from the buffer.
dataset/ETHPy150Open victor-gil-sepulveda/pyProCT/pyproct/tools/plotTools.py/normalize_in_range--crossover with--dataset/ETHPy150Open MapQuest/mapquest-osm-server/src/python/datastore/lrucache.py/BoundedLRUBuffer.__getitem__