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numpy.ma.concatenate(arrays, axis=0)
[source] -
Concatenate a sequence of arrays along the given axis.
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.
See also
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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)
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numpy.ma.concatenate()
2017-01-10 18:15:09
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