numpy.ceil(x [,out])= ufunc'ceil'):此数学函数返回数组元素的ceil。标量x的ceil是最小的整数i,使得i> = x
参数:
a:[array_like] Input arrayReturn : The ceil of each element with float data-type.
代码1:工作
# Python program explaining
# ceil() function
import numpy as np
in_array = [.5, 1.5, 2.5, 3.5, 4.5, 10.1]
print ("Input array:\n", in_array)
ceiloff_values = np.ceil(in_array)
print ("\nRounded values:\n", ceiloff_values)
in_array = [.53, 1.54, .71]
print ("\nInput array:\n", in_array)
ceiloff_values = np.ceil(in_array)
print ("\nRounded values:\n", ceiloff_values)
in_array = [.5538, 1.33354, .71445]
print ("\nInput array:\n", in_array)
ceiloff_values = np.ceil(in_array)
print ("\nRounded values:\n", ceiloff_values)
输出:
Input array: [0.5, 1.5, 2.5, 3.5, 4.5, 10.1] Rounded values: [ 1. 2. 3. 4. 5. 11.] Input array: [0.53, 1.54, 0.71] Rounded values: [ 1. 2. 1.] Input array: [0.5538, 1.33354, 0.71445] Rounded values: [ 1. 2. 1.]
代码2:工作
# Python program explaining
# ceil() function
import numpy as np
in_array = [1.67, 4.5, 7, 9, 12]
print ("Input array:\n", in_array)
ceiloff_values = np.ceil(in_array)
print ("\nRounded values:\n", ceiloff_values)
in_array = [133.000, 344.54, 437.56, 44.9, 1.2]
print ("\nInput array:\n", in_array)
ceiloff_values = np.ceil(in_array)
print ("\nRounded values upto 2:\n", ceiloff_values)
输出:
Input array: [1.67, 4.5, 7, 9, 12] Rounded values: [ 2. 5. 7. 9. 12.] Input array: [133.0, 344.54, 437.56, 44.9, 1.2] Rounded values upto 2: [ 133. 345. 438. 45. 2.]
参考文献: https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.ceil.html#numpy.ceil
。
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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.ceil() 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。