larray.zip_array_values

larray.zip_array_values(values, axes=None, ascending=True)

Returns a sequence as if simultaneously iterating on several arrays.

Parameters

axesint, str or Axis or tuple of them, optional

Axis or axes along which to iterate and in which order. Defaults to None (union of all axes present in all arrays, in the order they are found).

ascendingbool, optional

Whether or not to iterate the axes in ascending order (from start to end). Defaults to True.

Returns

Sequence

Examples

>>> arr1 = ndtest('a=a0,a1;b=b1,b2')
>>> arr2 = ndtest('a=a0,a1;c=c1,c2')
>>> arr1
a\b  b1  b2
 a0   0   1
 a1   2   3
>>> arr2
a\c  c1  c2
 a0   0   1
 a1   2   3
>>> for a1, a2 in zip_array_values((arr1, arr2), 'a'):
...     print("==")
...     print(a1)
...     print(a2)
==
b  b1  b2
    0   1
c  c1  c2
    0   1
==
b  b1  b2
    2   3
c  c1  c2
    2   3
>>> for a1, a2 in zip_array_values((arr1, arr2), arr2.c):
...     print("==")
...     print(a1)
...     print(a2)
==
a\b  b1  b2
 a0   0   1
 a1   2   3
a  a0  a1
    0   2
==
a\b  b1  b2
 a0   0   1
 a1   2   3
a  a0  a1
    1   3
>>> for a1, a2 in zip_array_values((arr1, arr2)):
...     print("arr1: {}, arr2: {}".format(a1, a2))
arr1: 0, arr2: 0
arr1: 0, arr2: 1
arr1: 1, arr2: 0
arr1: 1, arr2: 1
arr1: 2, arr2: 2
arr1: 2, arr2: 3
arr1: 3, arr2: 2
arr1: 3, arr2: 3