numpy.ma.reshape#

ma.reshape(a, new_shape, order='C')[source]#

Returns an array containing the same data with a new shape.

Refer to MaskedArray.reshape for full documentation.

See also

MaskedArray.reshape: equivalent function

Examples

Reshaping a 1-D array:

>>> a = np.ma.array([1, 2, 3, 4])
>>> np.ma.reshape(a, (2, 2))
masked_array(
  data=[[1, 2],
        [3, 4]],
  mask=False,
  fill_value=999999)

Reshaping a 2-D array:

>>> b = np.ma.array([[1, 2], [3, 4]])
>>> np.ma.reshape(b, (1, 4))
masked_array(data=[[1, 2, 3, 4]],
             mask=False,
       fill_value=999999)

Reshaping a 1-D array with a mask:

>>> c = np.ma.array([1, 2, 3, 4], mask=[False, True, False, False])
>>> np.ma.reshape(c, (2, 2))
masked_array(
  data=[[1, --],
        [3, 4]],
  mask=[[False,  True],
        [False, False]],
  fill_value=999999)