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Numpy and Python - Rounding values to integer
Hi I've been trying to round values with the round(a, b) method from numpy. However I would like the values to be rounded to the nearest integer, rather than the minimum or maximum value:
For example, I want:
round(11, 2) => 0, or round(40.1234, 2) => 40.12
But in the case of round(1.0, 1) I would like it to be 1 and in round(0.0, 1) I would like it to be 0.
Can it be done in numpy/python?
A:
Round the number to the first missing digit.
>>> import numpy as np
>>> np.round(11, 2)
0
>>> np.round(1.0, 1)
1
>>> np.round(0.0, 1)
0
To be able to round to the closest integer, simply do that step before rounding.
>>> np.round(11.2, 2)
11.2
>>> np.round(0.2, 1)
0.2
So you could combine your two examples like so:
>>> import numpy as np
>>> np.round(11.2, 2) + np.round(0.2, 1)
11.2
>>> np.round(41.1234, 2) + np.round(0.1234, 1)
41.12
If you want to round to the nearest integer for a given precision:
>>> import math
>>> math.ceil(np.array([10, 10.23, -1.1234, 40.1234])[1])
11.0
If you want to round up or down, round to the nearest integer for every number in the array:
>>> import numpy as np
>>> np.apply_along_axis(math.floor, axis=1, arr=np.array([10, 10.23, - 0b46394aab
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