numpy.ma.concatenate()

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

Concatenate a sequence of arrays along the given axis.

Parameters:

Parameters:	arrays : sequence of array_like The arrays must have the same shape, except in the dimension corresponding to `axis` (the first, by default). axis : int, optional The axis along which the arrays will be joined. Default is 0.
Returns:	result : MaskedArray The concatenated array with any masked entries preserved.

arrays : sequence of array_like

The arrays must have the same shape, except in the dimension corresponding to axis (the first, by default).

axis : int, optional

The axis along which the arrays will be joined. Default is 0.

Returns:

result : MaskedArray

The concatenated array with any masked entries preserved.

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)

Links:

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

doc_NumPy

2017-01-10 18:15:09

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