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Category：Languages

I have a list of numbers. Below is an example:

`[[-2.10044520e-04 1.72314372e-04 1.77235336e-04 -1.06613465e-04 6.76617611e-07 2.71623057e-03 -3.32789944e-05 1.44899758e-05 5.79249863e-05 4.06502549e-04 -1.35823707e-05 -4.13955189e-04 5.29862793e-05 -1.98286005e-04 -2.22829175e-04 -8.88758230e-04 5.62228710e-05 1.36249752e-05 -2.00474996e-05 -2.10090068e-05 1.00007518e+00 1.00007569e+00 -4.44597417e-05 -2.93724453e-04 1.00007513e+00 1.00007496e+00 1.00007532e+00 -1.22357142e-03 3.27903892e-06 1.00007592e+00 1.00007468e+00 1.00007558e+00 2.09869172e-05 -1.97610235e-05 1.00007529e+00 1.00007530e+00 1.00007503e+00 -2.68725642e-05 -3.00372853e-03 1.00007386e+00 1.00007443e+00 1.00007388e+00 5.86993822e-05 -8.69989983e-06 1.00007590e+00 1.00007488e+00 1.00007515e+00 8.81850779e-04 2.03875532e-05 1.00007480e+00 1.00007425e+00 1.00007517e+00 -2.44678912e-05 -4.36556267e-08 1.00007436e+00 1.00007558e+00 1.00007571e+00 -5.42990711e-04 1.45517859e-04 1.00007522e+00 1.00007469e+00 1.00007575e+00 -2.52271817e-05 -7.46339417e-05 1.00007427e+00]] `

I want to know if each of the number is close to 0 or 1. Is there a function in python that could do it or do I have to do it manually?

A straightforward way:

`lst=[0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9] closerTo1 = [x >= 0.5 for x in lst] `

Or you can use np:

`import numpy as np lst=[0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9] arr = np.array(lst) closerTo1 = arr >= 0.5 `

Note that `>= 0.5`

can be changed to `> 0.5`

, however you choose to treat it.