numpy.rint(x [，out])= ufunc'rint')：此数学函数将数组的元素四舍五入到最接近的整数。
参数：
array :[array_like] Input array.Return : An array with all array elements being rounded off, having same type and shape as input.
代码1：工作
# Python program explaining
# rint() function
import numpy as np
in_array = [.5, 1.5, 2.5, 3.5, 4.5, 10.1]
print ("Input array:\n", in_array)
rintoff_values = np.rint(in_array)
print ("\nRounded values:\n", rintoff_values)
in_array = [.53, 1.54, .71]
print ("\nInput array:\n", in_array)
rintoff_values = np.rint(in_array)
print ("\nRounded values:\n", rintoff_values)
in_array = [.5538, 1.33354, .71445]
print ("\nInput array:\n", in_array)
rintoff_values = np.rint(in_array)
print ("\nRounded values:\n", rintoff_values)
输出：
Input array: [0.5, 1.5, 2.5, 3.5, 4.5, 10.1] Rounded values: [ 0. 2. 2. 4. 4. 10.] Input array: [0.53, 1.54, 0.71] Rounded values: [ 1. 2. 1.] Input array: [0.5538, 1.33354, 0.71445] Rounded values: [ 1. 1. 1.]
代码2：工作
# Python program explaining
# rint() function
import numpy as np
in_array = [1 ,4, 7, 9, 12]
print ("Input array:\n", in_array)
rintoff_values = np.rint(in_array)
print ("\nRounded values:\n", rintoff_values)
in_array = [133 ,344, 437, 449, 12]
print ("\nInput array:\n", in_array)
rintoff_values = np.rint(in_array)
print ("\nRounded values upto 2:\n", rintoff_values)
in_array = [133 ,344, 437, 449, 12]
print ("\nInput array:\n", in_array)
rintoff_values = np.rint(in_array)
print ("\nRounded values upto 3:\n", rintoff_values)
输出：
Input array: [1, 4, 7, 9, 12] Rounded values: [ 1. 4. 7. 9. 12.] Input array: [133, 344, 437, 449, 12] Rounded values upto 2: [ 133. 344. 437. 449. 12.] Input array: [133, 344, 437, 449, 12] Rounded values upto 3: [ 133. 344. 437. 449. 12.]
参考文献： https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.rint.html#numpy.rint
。
相关用法
注：本文由纯净天空筛选整理自Mohit Gupta_OMG 大神的英文原创作品 numpy.rint() in Python。非经特殊声明，原始代码版权归原作者所有，本译文未经允许或授权，请勿转载或复制。