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

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>>> 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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