- numpy.ma.column_stack(tup) = <numpy.ma.extras._fromnxfunction instance at 0x7f79a1938098>¶
Stack 1-D arrays as columns into a 2-D array.
Take a sequence of 1-D arrays and stack them as columns to make a single 2-D array. 2-D arrays are stacked as-is, just like with hstack. 1-D arrays are turned into 2-D columns first.
tup : sequence of 1-D or 2-D arrays.
Arrays to stack. All of them must have the same first dimension.
stacked : 2-D array
The array formed by stacking the given arrays.
The function is applied to both the _data and the _mask, if any.
>>> a = np.array((1,2,3)) >>> b = np.array((2,3,4)) >>> np.column_stack((a,b)) array([[1, 2], [2, 3], [3, 4]])