Reputation: 83
I would like to turn an array into an array of arrays following another array of arrays. I'm not sure how to do this, here are the arrays:
orig_array = [[0,1],[4],[3],[],[3,2,6],[]]
my_array = [2,0,1,3,3,4,5]
wanted_array = [[2,0],[1],[3],[],[3,4,5],[]]
I would like to keep the empty arrays.
Thanks
Upvotes: 1
Views: 1205
Reputation: 231335
In [858]: my_array = [2,0,1,3,3,4,5]
In [859]: [[my_array.pop(0) for _ in range(len(x))] for x in orig_array]
Out[859]: [[2, 0], [1], [3], [], [3, 4, 5], []]
Use b=my_array[:]
if you don't want to change my_array
.
This operates on the same principle as @karoly's
answer; just more direct because it assumes only one level of nesting.
Upvotes: 1
Reputation: 1552
You could do the following:
import copy
def reflect_array(orig_array, order):
wanted_array = copy.deepcopy(orig_array)
for i, part_list in enumerate(orig_array):
for j, _ in enumerate(part_list):
wanted_array[i][j] = order.pop()
return wanted_array
Test run:
orig_array = [[0,1],[4],[3],[],[3,2,6],[]]
my_array = [2,0,1,3,3,4,5]
print reflect_array(orig_array, my_array)
# [[2, 0], [1], [3], [], [3, 4, 5], []]
Upvotes: 1
Reputation: 221504
Get the lengths of each element in orig_array
, perform cumumlative summations along the length values to give us the indices at which my_array
needs to be split and finally use np.split
to actually perform the splitting. Thus, the implementation would look something like this -
lens = [len(item) for item in orig_array]
out = np.split(my_array,np.cumsum(lens))[:-1]
Sample run -
In [72]: orig_array = np.array([[0,1],[4],[3],[],[3,2,6],[]])
...: my_array = np.array([2,0,1,3,3,4,5])
...:
In [73]: lens = [len(item) for item in orig_array]
...: out = np.split(my_array,np.cumsum(lens))[:-1]
...:
In [74]: out
Out[74]:
[array([2, 0]),
array([1]),
array([3]),
array([], dtype=int64),
array([3, 4, 5]),
array([], dtype=int64)]
Upvotes: 3
Reputation: 96258
def do(format, values):
if type(format) == list:
return [do(v, values) for v in format]
else:
return values.pop(0)
print do(orig_array, my_array)
Note: this destroys the array where the values come from.
Upvotes: 2