On this page
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) 
© 2005–2021 NumPy Developers
Licensed under the 3-clause BSD License.
 https://numpy.org/doc/1.20/reference/generated/numpy.ma.concatenate.html