Normalizing data to certain range of values

Question

I am a new in Python, is there any function that can do normalizing a data?

For example, I have set of list in range 0 - 1 example : [0.92323, 0.7232322, 0,93832, 0.4344433]

I want to normalize those all values to range 0.25 - 0.50

Thank you,

Answer 1

The following function considers the generic case:

def normalize(values, bounds):
    return [bounds['desired']['lower'] + (x - bounds['actual']['lower']) * (bounds['desired']['upper'] - bounds['desired']['lower']) / (bounds['actual']['upper'] - bounds['actual']['lower']) for x in values]

Use:

normalize(
    [0.92323, 0.7232322, 0.93832, 0.4344433],
    {'actual': {'lower': 0, 'upper': 1}, 'desired': {'lower': 0.25, 'upper': 0.5}}
) # [0.4808075, 0.43080805, 0.48458, 0.35861082499999997]

normalize(
    [5, 7.5, 10, 12.5, 15],
    {'actual':{'lower':5,'upper':15},'desired':{'lower':1,'upper':2}}
) # [1.0, 1.25, 1.5, 1.75, 2.0]

I chose a two-level dict as the argument but you could give it in multiple ways, for example in two separate tuples, one for the actual bounds and the other for the desired, being the first element the lower bound and the second the upper:

def normalize(values, actual_bounds, desired_bounds):
    return [desired_bounds[0] + (x - actual_bounds[0]) * (desired_bounds[1] - desired_bounds[0]) / (actual_bounds[1] - actual_bounds[0]) for x in values]

Use:

   normalize(
    [0.92323, 0.7232322, 0.93832, 0.4344433],
    (0,1),
    (0.25,0.5)
) # [0.4808075, 0.43080805, 0.48458, 0.35861082499999997]

normalize(
    [5, 7.5, 10, 12.5, 15],
    (5,15),
    (1,2)
) # [1.0, 1.25, 1.5, 1.75, 2.0]