numpy.ma.masked_all_like()

Empty masked array with the properties of an existing array.

Return an empty masked array of the same shape and dtype as the array arr, where all the data are masked.

Examples

>>> import numpy.ma as ma
>>> arr = np.zeros((2, 3), dtype=np.float32)
>>> arr
array([[ 0.,  0.,  0.],
       [ 0.,  0.,  0.]], dtype=float32)
>>> ma.masked_all_like(arr)
masked_array(data =
 [[-- -- --]
 [-- -- --]],
      mask =
 [[ True  True  True]
 [ True  True  True]],
      fill_value=1e+20)

The dtype of the masked array matches the dtype of arr.

>>> arr.dtype
dtype('float32')
>>> ma.masked_all_like(arr).dtype
dtype('float32')