numpy.around(arr,decimals = 0,out = None):此数学函数可帮助用户将数组元素平均舍入为给定的小数位数。
参数:
array :[数组]输入数组。
decimal :[int,可选]我们要舍入的小数位。
默认值=0。如果是-ve十进制,则指定n0。小数点左边的位置。
out :[可选的]输出结果数组
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]