vector transposition with python 2.7

Question

I would like to know how to correctly transpose a vector. Since my implementation does not work, apparently. Here what I do.

import numpy as np
weights = np.random.random(3)

weights.shape
(3,)

If I do the transpose:

np.transpose(weights)
np.transpose(weights).shape
(3,)

Thus, why my dimensions of weights do not change? Thank you very much.

Thank you, Paulo. I read that post, but I cannot get its meaning or solution. Since, I think my problem is closer to this one, but still I do not know how to implement the brackets there. http://stackoverflow.com/questions/5954603/transposing-a-numpy-array — Lucia, Jan 30 '17 at 14:12

score 0 · Accepted Answer · edited May 23 '17 at 12:24

0

np.transpose(weights[np.newaxis])

Or maybe, a simpler manner:

weights[np.newaxis].T

However, as pointed out in this post, you must think if you have good reasons to transpose it this way, since a transposed 1D vector is still a 1D vector.

edited May 23 '17 at 12:24

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answered Jan 30 '17 at 14:23

Paulo MiraMor

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vector transposition with python 2.7

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