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)