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
>>> 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)