numpy.atleast_1d()用 Python
表示
原文:https://www.geeksforgeeks.org/numpy-atleast_1d-in-python/
numpy.atleast_1d() 函数在我们想要将输入转换为至少一维的数组时使用。标量输入被转换为一维数组，而高维输入被保留。
语法: numpy .至少 _ 1d(*数组)
参数: arrays1，arrays2，…:【array _ like】一个或多个输入数组。
返回:【ndarray】一个数组或数组列表，每个数组都有一个 T2 = 1。只有在必要时才复印。
代码#1:工作
# Python program explaining
# numpy.atleast_1d() function
import numpy as geek
in_num = 10
print ("Input number : ", in_num)
out_arr = geek.atleast_1d(in_num)
print ("output 1d array from input number : ", out_arr)
输出:
Input number : 10
output 1d array from input number : [10]
代码#2:工作
# Python program explaining
# numpy.atleast_1d() function
import numpy as geek
my_list = [[2, 6, 10],
[8, 12, 16]]
print ("Input list : ", my_list)
out_arr = geek.atleast_1d(my_list)
print ("output array : ", out_arr)
输出:
Input list : [[2, 6, 10], [8, 12, 16]]
output array : [[ 2 6 10]
[ 8 12 16]]
代码#3:工作
# Python program explaining
# numpy.atleast_1d() function
# when inputs are in high dimension
import numpy as geek
in_arr = geek.arange(9).reshape(3, 3)
print ("Input array :\n ", in_arr)
out_arr = geek.atleast_1d(in_arr)
print ("output array :\n ", out_arr)
print(in_arr is out_arr)
输出:
IInput array :
[[0 1 2]
[3 4 5]
[6 7 8]]
output array :
[[0 1 2]
[3 4 5]
[6 7 8]]
True'
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