call to column gives row vector instead of column vector python -

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hey im making loop have repeatedly update column vector x estimate adding column x estimate, whenever i'm calling column in x estimate givers me row vector , cannot redefine output row column using vstack because no longer able plug in @ start of loop needed new calculations

below output xestimate

xest = [[ 0.      0.   ]         [ 1.      1.   ]         [ 1.      1.0001]         [ 1.      1.0001]]

later on call 'xest[:,0]' output >> '[0 1 1 1]'

however need column, 

'[[0],  [1],  [1  [1]]'

i dont understand call [:,0] should column should not? thanks

i understand xest numpy array.

quick answer: can obtain want np.vstack(xest[:,0]) or, better, xest[:,0][:, np.newaxis]

slightly longer answer: why want that? of time, don't, , rely on broadcasting you. there no such thing "column vector" in numpy, cases can handled normal "row vector". corner cases need distinction, can make view , play strides, [:, np.newaxis] does.

full justification: imagine have array of 10 dimensions, , want 1 vector. want array [[[[[[[[[[1, 1, 1, 1 ...]]]]]]]]]]? numpy meant work arbitrary dimensions, , therefore, designed general case.


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