I would like to control how array.reshape() populates the new array. For example
a = np.arange(12).reshape(3,4)
## array([[ 0, 1, 2, 3],
## [ 4, 5, 6, 7],
## [ 8, 9, 10, 11]])
but what I would like to be able to is populate the array columnwise with something like:
a = np.arange(9).reshape(3,3, 'columnwise')
## array([[ 0, 3, 6, 9],
## [ 1, 4, 7, 10],
## [ 2, 5, 8, 11]])
Use np.transpose.
import numpy as np
print(np.arange(9).reshape(3,3).transpose())
Output:
[[0 3 6]
[1 4 7]
[2 5 8]]
In [22]: np.arange(12).reshape(3,4, order='F')
Out[22]:
array([[ 0, 3, 6, 9],
[ 1, 4, 7, 10],
[ 2, 5, 8, 11]])
If you take a transpose of the original matrix, you will get your desired effect.
import numpy as np
a = np.arange(6).reshape(3,3).tranpose()
OR
a = np.arange(6).reshape(3,3).T
