numpy.ma.column_stack#

ma.column_stack(tup)[source]#

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.

Parameters:

tupsequence of 1-D or 2-D arrays.

Arrays to stack. All of them must have the same first dimension.

Returns:

stacked2-D array

The array formed by stacking the given arrays.

See also

stack, hstack, vstack, concatenate

Notes

The function is applied to both the _data and the _mask, if any.

Examples

Try it in your browser!

>>> import numpy as np
>>> a = np.array((1,2,3))
>>> b = np.array((4,5,6))
>>> np.column_stack((a,b))
array([[1, 4],
       [2, 5],
       [3, 6]])

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