numpy.ma.concatenate
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numpy.ma.concatenate(arrays, axis=0)
[source] -
Concatenate a sequence of arrays along the given axis.
- Parameters
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arrayssequence of array_like
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The arrays must have the same shape, except in the dimension corresponding to
axis
(the first, by default). -
axisint, optional
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The axis along which the arrays will be joined. Default is 0.
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- Returns
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resultMaskedArray
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The concatenated array with any masked entries preserved.
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See also
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numpy.concatenate
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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)
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https://numpy.org/doc/1.19/reference/generated/numpy.ma.concatenate.html