Python reshape list to ndim array
Hi I have a list flat which is length 2800, it contains 100 results for each of 28 variables: Below is an example of 4 results for 2 variables
[0,
0,
1,
1,
2,
2,
3,
3]
I would like to reshape the list to an array (2,4) so that the results for each variable are in a single element.
[[0,1,2,3],
[0,1,2,3]]
Answer
You can think of reshaping that the new shape is filled row by row (last dimension varies fastest) from the flattened original list/array.
An easy solution is to shape the list into a (100, 28) array and then transpose it:
x = np.reshape(list_data, (100, 28)).T
Update regarding the updated example:
np.reshape([0, 0, 1, 1, 2, 2, 3, 3], (4, 2)).T
# array([[0, 1, 2, 3],
# [0, 1, 2, 3]])
np.reshape([0, 0, 1, 1, 2, 2, 3, 3], (2, 4))
# array([[0, 0, 1, 1],
# [2, 2, 3, 3]])