将列（来自向量）绑定为numpy

Question

The codes are like this:

a = numpy.zeros(3)
b = numpy.ones(3)
bind_by_column((a,b))
=> [[0,1],[0,1],[0,1]]

I checked this but don't find the answer

Does anyone have ideas about this?

Answer 1

np.column_stack

see Numpy: Concatenating multidimensional and unidimensional arrays

>>> import numpy
>>> a = numpy.zeros(3)
>>> b = numpy.ones(3)
>>> numpy.column_stack((a,b))
array([[ 0.,  1.],
       [ 0.,  1.],
       [ 0.,  1.]])

Answer 2

You can use numpy.vstack() :

>>> import numpy
>>> a = numpy.zeros(3)
>>> b = numpy.ones(3)
>>> numpy.vstack((a,b)).T
array([[ 0.,  1.],
       [ 0.,  1.],
       [ 0.,  1.]])