numpy.ma.column_stack()

numpy.ma.column_stack(tup) =

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:

Parameters:	tup : sequence of 1-D or 2-D arrays. Arrays to stack. All of them must have the same first dimension.
Returns:	stacked : 2-D array The array formed by stacking the given arrays.

tup : sequence of 1-D or 2-D arrays.

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

Returns:

stacked : 2-D array

The array formed by stacking the given arrays.

Notes

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

Examples

>>> a = np.array((1,2,3))
>>> b = np.array((2,3,4))
>>> np.column_stack((a,b))
array([[1, 2],
       [2, 3],
       [3, 4]])

Links:

https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.ma.column_stack.html

doc_NumPy

2025-01-10 15:47:30

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