Convert all element in list to int python

Examples of how to convert a float array to an integer array in python:

Using the numpy function astype

To convert a float array to an integer array in python, a solution is to use astype, example:

>>> import numpy as np >>> A = np.array((0.4, 1.6, 2.1, -3.7, 2.9)) >>> A array([ 0.4, 1.6, 2.1, -3.7, 2.9]) >>> A = A.astype(int) >>> A array([ 0, 1, 2, -3, 2])

Round the numbers before converting them in integer

It is also possible to round the numbers and after convert them to integer using the numpy function around

>>> import numpy as np >>> A = np.array((0.4, 1.6, 2.1, -3.7, 2.9)) >>> A array([ 0.4, 1.6, 2.1, -3.7, 2.9]) >>> A = np.around(A) >>> A array([ 0., 2., 2., -4., 3.]) >>> A = A.astype(int) >>> A array([ 0, 2, 2, -4, 3])

Note: work also with the function rint, example

>>> import numpy as np >>> A = np.array((0.4, 1.6, 2.1, -3.7, 2.9)) >>> A array([ 0.4, 1.6, 2.1, -3.7, 2.9]) >>> A = np.rint(A) >>> A array([ 0., 2., 2., -4., 3.]) >>> A = A.astype(int) >>> A array([ 0, 2, 2, -4, 3]) >>> import numpy as np >>> A = np.array((0.4, 1.6, 2.1, -3.7, 2.9)) >>> A array([ 0.4, 1.6, 2.1, -3.7, 2.9]) >>> A = np.trunc(A) >>> A array([ 0., 1., 2., -3., 2.]) >>> A = A.astype(int) >>> A array([ 0, 1, 2, -3, 2])

Round to the nearest bigger integer

>>> import numpy as np >>> A = np.array((0.4, 1.6, 2.1, -3.7, 2.9)) >>> A array([ 0.4, 1.6, 2.1, -3.7, 2.9]) >>> A = np.ceil(A) >>> A array([ 1., 2., 3., -3., 3.]) >>> A = A.astype(int) >>> A array([ 1, 2, 3, -3, 3])

Round to the nearest smaller integer

>>> import numpy as np >>> A = np.array((0.4, 1.6, 2.1, -3.7, 2.9)) >>> A array([ 0.4, 1.6, 2.1, -3.7, 2.9]) >>> A = np.floor(A) >>> A array([ 0., 1., 2., -4., 2.]) >>> A = A.astype(int) >>> A array([ 0, 1, 2, -4, 2])

References