numpy.ma.concatenate#

ma.concatenate(arrays, axis=0)[source]#

Concatenate a sequence of arrays along the given axis.

Parameters

arrayssequence of array_like: The arrays must have the same shape, except in the dimension corresponding to axis (the first, by default).
axisint, optional: The axis along which the arrays will be joined. Default is 0.

Returns

resultMaskedArray: The concatenated array with any masked entries preserved.

See also

numpy.concatenate: Equivalent function in the top-level NumPy module.

Examples

>>> import numpy.ma as ma
>>> a = ma.arange(3)
>>> a[1] = ma.masked
>>> b = ma.arange(2, 5)
>>> a
masked_array(data=[0, --, 2],
             mask=[False,  True, False],
       fill_value=999999)
>>> b
masked_array(data=[2, 3, 4],
             mask=False,
       fill_value=999999)
>>> ma.concatenate([a, b])
masked_array(data=[0, --, 2, 2, 3, 4],
             mask=[False,  True, False, False, False, False],
       fill_value=999999)

numpy.ma.column_stack

numpy.ma.dstack