larray.zip_array_values¶
-
larray.
zip_array_values
(values, axes=None, ascending=True)[source]¶ 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