Python 中的 numpy.around()
numpy . round(arr，decimals = 0，out = None) : 这个数学函数帮助用户将数组元素均匀地舍入到给定的小数位数。
参数:
阵: 【阵 _ 象】输入阵。 小数:【int，可选】我们要四舍五入的小数位数。
默认值= 0。如果是-ve 小数，它指定 n0。小数点左边的位置。
出: 【可选】输出结果阵
返回:
An array with all array elements being rounded off,
having same type as input
代码#1:工作
# Python program explaining
# around() function
import numpy as np
in_array = [.5, 1.5, 2.5, 3.5, 4.5, 10.1]
print ("Input array : \n", in_array)
round_off_values = np.around(in_array)
print ("\nRounded values : \n", round_off_values)
in_array = [.53, 1.54, .71]
print ("\nInput array : \n", in_array)
round_off_values = np.around(in_array)
print ("\nRounded values : \n", round_off_values)
in_array = [.5538, 1.33354, .71445]
print ("\nInput array : \n", in_array)
round_off_values = np.around(in_array, decimals = 3)
print ("\nRounded values : \n", round_off_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 :
[ 0.554 1.334 0.714]
代码 2:工作
# Python program explaining
# around() function
import numpy as np
in_array = [1 ,4, 7, 9, 12]
print ("Input array : \n", in_array)
round_off_values = np.around(in_array)
print ("\nRounded values : \n", round_off_values)
in_array = [133 ,344, 437, 449, 12]
print ("\nInput array : \n", in_array)
round_off_values = np.around(in_array, decimals = -2)
print ("\nRounded values upto 2: \n", round_off_values)
in_array = [133 ,344, 437, 449, 12]
print ("\nInput array : \n", in_array)
round_off_values = np.around(in_array, decimals = -3)
print ("\nRounded values upto 3: \n", round_off_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:
[100 300 400 400 0]
Input array :
[133, 344, 437, 449, 12]
Rounded values upto 3:
[0 0 0 0 0]
参考文献: https://docs . scipy . org/doc/numpy-dev/reference/generated/numpy . about . html # numpy . about 。
