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Python: getting a minumum value from a list of values

Here is an example of what I am trying to do.
n = [1.01, 2.03, 1.07, 4.04, 1.13, 1.08, 4.06, 4.02, 4.05, 1.11, 2.02]
I want to be able to get the n that is below that of the number 4.03.
I am totally lost with the numpy and pandas libraries. I am wondering if it is doable with these libraries and if it is how. Can someone give me a hand?

A:

you can use np.where to get the minimum values.
import numpy as np
n = [1.01, 2.03, 1.07, 4.04, 1.13, 1.08, 4.06, 4.02, 4.05, 1.11, 2.02]
min_vals = np.where(np.logical_or(n
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