Numpy matrix flattens to a matrix

Question

I am having issues flatting the following matrix into an array

np.matrix([[1],
        [2],
        [3]])

More generally this matrix will be n,1 shape

The goal is to get it to be in a 3, form like [1, 2, 3] however I am finding that difficult. Every operation I can find returns a matrix or does not work.

x = np.matrix([[1],
        [2],
        [3]])
x.flatten()
>>>matrix([[1, 2, 3]])
x.ravel()
>>>matrix([[1, 2, 3]])
x.ravel()[0,:]
>>>matrix([[1, 2, 3]])
np.reshape(x, 3)
>>>matrix([[1, 2, 3]])
x.flatten()[0]
>>>matrix([[1, 2, 3]])

How can I get this one row-ed matrix into a vector?

https://stackoverflow.com/questions/3337301/numpy-matrix-to-array — Yacola, Feb 17 '20 at 23:42
The use of the `numpy.matrix` class is discouraged, and it will likely be removed in the future. — AMC, Feb 18 '20 at 03:03

busybear · Accepted Answer · 2020-02-18T00:42:08.947

2

You need to convert it to an array. Matrix objects are 2-dimensional by definition.

np.array(x).flatten()

Alternatively, as mentioned by @hpaulj, matrix objects have A and A1 defined that will return the array object (flattened for A1)

x.A1

edited Feb 18 '20 at 00:42

answered Feb 17 '20 at 23:33

busybear

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2

Or a short cut to this: `x.A1` – hpaulj Feb 18 '20 at 00:36

Numpy matrix flattens to a matrix

1 Answers1