Python numpy.round_()
numpy.round_()是一个数学函数,它将一个数组四舍五入到给定的小数。
语法 : numpy.round_(arr, decimals = 0, out = None)
参数 :
array :[array_like] 输入阵列。
decimal :[int, optional] 我们要四舍五入的小数位。
在小数点为-的情况下,它指定小数点左边的n0.个位置。
输出 :[可选] 输出结果数组
返回 :
一个所有数组元素都被舍弃的数组,其类型与输入相同。
代码#1:
# Python program explaining
# round_() 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.round_(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.round_(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.round_(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:
# Python program explaining
# round_() function
import numpy as np
in_array = [1, 4, 7, 9, 12]
print ("Input array : \n", in_array)
round_off_values = np.round_(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.round_(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.round_(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]