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dyerrington/simple_scaler.py

Created November 3, 2015 05:02
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Another simple scaler found in scipy
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simple_scaler.py
from scipy.interpolate import interp1d
# params: [from_min, from_max], [to_min, to_max]
m = interp1d([1,100],[1,7])
m(99.234)
# output: array(6.9535757575757575)
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Interpolate from probability units to 1-5 ratings:

from scipy.interpolate import interp1d
import numpy as np

# params: [from_min, from_max], [to_min, to_max]
m = interp1d([0,1],[1,5])
for n in np.linspace(0,1,10):
    print(m(n), "rounded:", np.round(m(n)))

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