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Showing content from http://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.concatenate.html below:

numpy.ma.concatenate — NumPy v2.3 Manual

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.

Examples

>>> import numpy as np
>>> 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)

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