PythonNumpy：将列表重塑为重复的二维数组

我是python新手，我对numpy.reforme有一个问题。我目前有两个类似的值列表：

x = [0,1,2,3]
y = [4,5,6,7]

xx = [[0,0,0,0]
     [1,1,1,1]
     [2,2,2,2]
     [3,3,3,3]]

yy = [[4,5,6,7]
      [4,5,6,7]
      [4,5,6,7]
      [4,5,6,7]]

我希望它们在单独的2D数组中，每个项目在原始列表的长度上重复，如下所示：

x = [0,1,2,3]
y = [4,5,6,7]

xx = [[0,0,0,0]
     [1,1,1,1]
     [2,2,2,2]
     [3,3,3,3]]

yy = [[4,5,6,7]
      [4,5,6,7]
      [4,5,6,7]
      [4,5,6,7]]

---

有没有一种方法可以使用numpy.reforme实现这一点，或者有没有更好的方法可以使用？如能详细解释，我将不胜感激。谢谢

numpy.meshgrid

将为您执行此操作

注意：从您请求的输出来看，似乎您想要的是

ij

索引，而不是默认的

xy

from numpy import meshgrid

x = [0,1,2,3]
y = [4,5,6,7]
xx,yy=meshgrid(x,y,indexing='ij')

print xx
>>> [[0 0 0 0]
     [1 1 1 1]
     [2 2 2 2]
     [3 3 3 3]]

print yy
>>> [[4 5 6 7]
     [4 5 6 7]
     [4 5 6 7]
     [4 5 6 7]]

以下是

xy

索引，仅供参考

xx,yy=meshgrid(x,y,indexing='xy')

print xx
>>> [[0 1 2 3]
     [0 1 2 3]
     [0 1 2 3]
     [0 1 2 3]]

print yy
>>> [[4 4 4 4]
     [5 5 5 5]
     [6 6 6 6]
     [7 7 7 7]]

---

这正是

np.meshgrid

所做的